Evaluation of organ function in patients with severe COVID-19 infections

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(A) Overall survival; (B) disease-free survival." ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Inmaculada Nicolás, Juan Gilabert-Estellés, Juan Gilabert-Aguilar, Pere Fusté, Kristina Aghababyan, Jaume Pahisa, Blanca Gil-Ibañez, Berta Díaz-Feijoo, Francisco Carmona, Francisco Javier Calpe, Adela Saco, Jaume Ordi, Aureli Torne" "autores" => array:13 [ 0 => array:2 [ "nombre" => "Inmaculada" "apellidos" => "Nicolás" ] 1 => array:2 [ "nombre" => "Juan" "apellidos" => "Gilabert-Estellés" ] 2 => array:2 [ "nombre" => "Juan" "apellidos" => "Gilabert-Aguilar" ] 3 => array:2 [ "nombre" => "Pere" "apellidos" => "Fusté" ] 4 => array:2 [ "nombre" => "Kristina" "apellidos" => "Aghababyan" ] 5 => array:2 [ "nombre" => "Jaume" "apellidos" => "Pahisa" ] 6 => array:2 [ "nombre" => "Blanca" "apellidos" => "Gil-Ibañez" ] 7 => array:2 [ "nombre" => "Berta" "apellidos" => "Díaz-Feijoo" ] 8 => array:2 [ "nombre" => "Francisco" "apellidos" => "Carmona" ] 9 => array:2 [ "nombre" => "Francisco Javier" "apellidos" => "Calpe" ] 10 => array:2 [ "nombre" => "Adela" "apellidos" => "Saco" ] 11 => array:2 [ "nombre" => "Jaume" "apellidos" => "Ordi" ] 12 => array:2 [ "nombre" => "Aureli" "apellidos" => "Torne" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020620303533?idApp=UINPBA00004N" "url" => "/23870206/0000015500000005/v3_202012250811/S2387020620303533/v3_202012250811/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "Original article" "titulo" => "Evaluation of organ function in patients with severe COVID-19 infections" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "191" "paginaFinal" => "196" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Yingjie Zhu, Ziqiang Du, Yanfang Zhu, Wenfeng Li, Hongjun Miao, Zhuo Li" "autores" => array:6 [ 0 => array:3 [ "nombre" => "Yingjie" "apellidos" => "Zhu" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "1" "identificador" => "fn0005" ] ] ] 1 => array:3 [ "nombre" => "Ziqiang" "apellidos" => "Du" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "1" "identificador" => "fn0005" ] ] ] 2 => array:3 [ "nombre" => "Yanfang" "apellidos" => "Zhu" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "b" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "1" "identificador" => "fn0005" ] ] ] 3 => array:3 [ "nombre" => "Wenfeng" "apellidos" => "Li" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "c" "identificador" => "aff0015" ] 1 => array:2 [ "etiqueta" => "1" "identificador" => "fn0005" ] ] ] 4 => array:3 [ "nombre" => "Hongjun" "apellidos" => "Miao" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] ] ] 5 => array:4 [ "nombre" => "Zhuo" "apellidos" => "Li" "email" => array:1 [ 0 => "lizhuo2004@126.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Department of Emergency, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing 210008, PR China" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Department of Critical Care Medicine, Huangshi Hospital of TCM(Infectious Disease Hospital), 12 Guangchang Road, Huangshi 435000, PR China, 12 Guangchang Road, Huangshi 435000, PR China" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Department of Pediatric Intensive Care Unit, E Dong Medical Group Huangshi Central Hospital, 141 Tianjin Road, Huangshi 435000, PR China" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Evaluación de la función del órgano en pacientes con infección grave por COVID-19" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1564 "Ancho" => 1519 "Tamanyo" => 74175 ] ] "descripcion" => array:1 [ "en" => "ROC curve analysis of PLT in evaluating the prognosis of COVID-19 patients." ] ] ] "textoCompleto" => "IntroductionIn December 2019, pneumonia cases appeared in Wuhan, Hubei Province, China. Then the disease spread throughout China, and then to the entire world. The spread of Corona Virus Disease-2019 (COVID-19) has resulted in a large-scale pandemic, which already has had an irreparable impact on China and the world. Under the research of global experts, it was discovered that this infectious pneumonia is caused by a novel coronavirus infection. The disease caused by the novel coronavirus was officially named “COVID-19” by the World Health Organization (WHO) on February 11, 2020.Coronavirus (CoV) is a single-stranded positive-stranded RNA virus. The International Committee on Taxonomy of Viruses (ICTV) divides CoVs into four types: Alphacoronavirus (αCoV), Betacoronavirus (βCoV), Deltacoronavirus (δCoV), and Gammacoronavirus (γCoV). Human coronavirus (HCoV) infection mainly refers to α or βCoV.<a class="elsevierStyleCrossRef" href="#bib0090">1</a> The novel coronavirus (formerly known as 2019-nCoV) belongs to the βCoV type. At first, it was thought that the infection was not a result of human-to-human transmission. Later, it was found that the virus had clear human-to-human transmission, high infectivity, and severe pathogenicity.<a class="elsevierStyleCrossRefs" href="#bib0095">2,3</a>The main clinical manifestations of COVID-19 are fever, cough, and fatigue. Patients with severe infections can experience acute respiratory distress syndrome (ARDS), and even multiple organ failure (MODS).<a class="elsevierStyleCrossRefs" href="#bib0100">3,4</a> The purpose of this study was to assess organ function in infected patients who did not survive compared to patients who did survive in a cohort of severe COVID-19 patients. A clinical retrospective study was used that included collection of blood indices from 102 cases.Material and methodsClinical dataClinical data were collected retrospectively from severe COVID-19 patients admitted to Huangshi Hospital of TCM (Infectious Disease Hospital) and E Dong Medical Group Huangshi Central Hospital in Hubei Province from February 2020, to March 2020. The patients were divided into a survival group and a non-survival group according to their prognosis.The inclusion criteria were as follows: (1) The diagnosis of COVID-19 infection matched the novel coronavirus's diagnosis and treatment program established in China. (2) The patient met the criteria for the COVID-19 diagnosis and treatment program (7th edition) for severe cases. These criteria included respiratory distress (RR≥30times/min), oxygen saturation less than 93% in the resting state, and an oxygen partial pressure in arterial blood (PaO2)/oxygen concentration (FiO2) that was less than 300mm Hg (1mg Hg=0.133kPa). Also, the PaO2/FiO2 was corrected according to the formula, PaO2/FiO2×[atmospheric pressure (mm Hg)/760]. Lastly, pulmonary imaging showed that the lesions progressed to more than 50% in 24–48h.<a class="elsevierStyleCrossRef" href="#bib0100">3</a> (3) The patients’ clinical data were complete.Research methodsThe patients with COVID-19 infections were retrospectively analyzed and divided into a survival group and a non-survival group according to their prognosis. Age, sex, and underlying disease data were collected. Routine blood tests were performed on the blood samples by using blood analyzer Abbott CD-3700; Blood biochemistry parameters[glutamic pyruvic transaminase (ALT), glutamic oxaloacetic transaminase (AST), total bilirubin (TBIL), albumin (ALB), urea nitrogen (BUN), creatinine (CR),creatine kinase isoenzyme (CK-MB), creatine kinase (CK), and lactate dehydrogenase (LDH)] were determined using Toshiba TBA-120FR automated biochemistry analyzer; Coagulation functions[D-Dimer, prothrombin time (PT), partially activated prothrombin time (APTT), fibrinogen (FIB), coagulation VIII factor activity (F VIII:C)]was detected by Sysmex CA50 Biomerieux mini-vidas automatic fluorescence immunoanalyzer. All the operations were done by specially assigned personnel and in strict accordance with the instructions regarding the use of the reagents. All the blood test indices were collected within 48h Statistical. In all the blood test indices, one patient lacked F VIII:C test result, so We used imputation to get the complete data.Statistical methodsSPSS, version 22.0, data analysis software was used to analyze the data. The Shapiro–Wilk test was used to assess the normality of the measured data. The data with normal distributions were expressed by X±S, and the t-test was used for comparison between groups. The data with non-normal distribution were assessed using medians, and the quartile spacing was reflected by M (QR). The rank-sum test was used for inter-group comparisons. The area under the ROC curve (AUC) was calculated by drawing the working characteristic curve for the subjects. The differences were determined to be statistically significant at P<0.05.ResultsComparison of general data between the two groupsOne hundred and two patients with severe COVID-19 infections were enrolled in the study. The patients included 59 males and 43 females, aged 32–90 years old, with an average age of 65.21±14.27 years. The data obtained from all patients were tested for normality. The age and days of hospitalization for the two groups showed normal distributions, and the test for homogeneity of variance demonstrated that the variance was homogeneous. The average age of patients in the survival group and the non-survival group were 62.22±13.61 and 72.60±13.15 years old, respectively. The difference was statistically significant (P<0.05). There was no significant difference in gender between the two groups, and the days of hospitalization for the two groups were 13.53±8.31 and 18.54±1.16 days, respectively, which also showed no significant differences between the two groups (P>0.05). The 7-day and 28-day mortality rates of severe COVID-19 patients are respectively 6.86% and 24.51% as seen in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.<elsevierMultimedia ident="tbl0005"></elsevierMultimedia>Ventilation in the two groupsAccording to the ventilation statistics of the 102 patients in this study, it was observed that of the 73 patients in the survival group, 4 patients needed invasive ventilation, and 23 patients were treated with non-invasive ventilation. Of the patients in the non-survival group, 29 received auxiliary ventilation, including 4 patients who received non-invasive ventilation, and 25 patients who received invasive ventilation. The difference between these two groups was statistically significant (P<0.05), as seen in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.Comparison of routine blood tests between the two groupsIn this study, the average values for the lymphocyte ratio in the non-survival group and the survival group were 0.76±0.47 and 0.76±0.35, respectively. These values were below the reported normal lower limit value of 1.1×10^9/L and were significantly different from the normal lower limit when assessed using single sample t-tests (P<0.05). However, there was no significant difference in the lymphocyte ratios between the two patient groups (P>0.05). There also was no significant difference in the leukocyte counts between the two patient groups (P>0.05). The platelet count in the survival group was significantly higher compared to the non-survival group (163.53±59.20 vs. 126.80 ±53.50, respectively, P<0.05), as seen in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>.<elsevierMultimedia ident="tbl0010"></elsevierMultimedia>Comparison of blood indices of organ function in the two groupsLiver function indexThe measurement data from the patients were tested for normality. The ALB of the two groups conformed to a normal distribution, and the test for homogeneity of variance showed that the variance was homogeneous. Therefore, a t-test was used to compare the differences in ALB between the survival group and the non-survival group. The analysis showed that there was no significant difference between the two groups. The ALT, AST, and TBIL measurements from the two groups did not conform to normal distributions. Therefore, the rank-sum test was used to compare the differences of ALT, AST, and TBIL between the two patient groups. The results showed that there was a significant difference in AST between the two groups (P<0.05), but there was no significant difference in ALT or TBIL between the two groups (P>0.05).Renal function indexThe test for normality revealed that the data for BUN and CR from the two groups did not show normal distributions. The rank-sum test was used to compare the differences in BUN and CR between the survival group and the non-survival group, and the differences were statistically significant (P<0.05).Coagulation function indexWhen the data from the two patient groups were tested for normality for D-Dimer, PT, APTT, FIB, and F VIII:C, we observed that the data did not conform to normal distributions. Thus, the rank-sum test was used to compare the differences of D-Dimer, PT, APTT, FIB, and F VIII:C between the survival group and the non-survival group. The results showed that there were significant differences in D-Dimer, PT, F VIII:C between the two groups (P<0.05), but there was no significant difference in APTT or FIB (P>0.05), as shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>.Cardiac function indexThe data for cardiac function from the patients were tested for normal distribution. The LDH data from the two groups conformed to a normal distribution, and the test of variance showed that the variance was uneven. A t-test was used to compare the difference of LDH between the survival group and the non-survival group, and the difference between the two groups was statistically significant (P<0.05). However, the CK-MB and CK data from the two groups did not show a normal distribution. Therefore, the differences in CK-MB and CK between the survival group and the non-survival group were compared using the rank-sum test, which showed that there were significant differences in CK-MB and CK between the two groups (P<0.05). In addition, patients in both groups had underlying cardiovascular disease. There were 15 such cases in the non-survival group and 33 cases in the survival group. The chi-square test applied to these data indicated that the differences were not significant (P>0.05).ROC curve analysis of blood indices to evaluate the prognosis of COVID-19The prognostic evaluation of PLT in the survival group and the non-survival group was analyzed using ROC curves. The area under the curve was 0.721, indicating that PLT had some value in predicting the prognosis, as shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>. The prognostic values of AST, BUN, CR, D-Dimer, PT, FIB, F VIII:C, CK-MB, CK, and LDH in both groups also were analyzed using the ROC curve analysis. The areas under the curve were 0.854, 0.867, 0.757, 0.699, 0.679, 0.715, 0.811, 0.935, and 0.802, respectively. These results demonstrated that these organ function blood indices had prognostic value in COVID-19 infections, as shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>.<elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia>DiscussionThe novel coronavirus is a member of the β coronavirus type, with humans as the host. Since the first human coronavirus (HCoV) was isolated from the nasal secretions of patients with the common cold in 1965, six different strains of CoV are known to infect humans. These CoV strains include severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV), and the common cold viruses in individuals with strong immunity (such as 229E, OC43, NL63, and HKU1).<a class="elsevierStyleCrossRef" href="#bib0090">1</a> This novel coronavirus, COVID-19, has more than 85% homology with the previously detected bat coronavirus (a SARS-related coronavirus species, that is, SARS coronavirus). However, there are clear differences in the genetic characteristics of COVID-19 compared with SARS-CoV and MERS-CoV.<a class="elsevierStyleCrossRef" href="#bib0110">5</a>Through observation of the current global epidemic situation, we can demonstrate the infectivity and pathogenicity of COVID-19. To the treatment of COVID-19, the main treatment is antiviral therapy, such as interferon, lopinavir, ribavirin and so on. More than that to patients with severe COVID-19 infections, oxygen therapy and actively treatment of complications are indispensable. Of course, we should also inform patients to rest in bed and enhance nutrition,<a class="elsevierStyleCrossRef" href="#bib0100">3</a> and for the complications, recent clinical work has shown that COVID-19 infections not only cause pneumonia but also cause damage to other organs such as the heart, liver, and kidneys, as well as the blood and immune systems.<a class="elsevierStyleCrossRef" href="#bib0115">6</a>In this paper, 102 patients with severe COVID-19 infections were divided into two groups according to their prognosis, namely a non-survival group and a survival group. The blood indices for different organ functions were compared between these two groups.There was a difference in ventilation between the two groups. Most patients in the survival group received noninvasive ventilation, while those in the non-survival group needed more invasive ventilation, and all patients in the non-survival group received Oxygen therapy. This result also suggests that there was a higher demand for auxiliary ventilation in patients with severe COVID19.The decrease in the lymphocyte ratio is a clinical characteristic of CoV infections,<a class="elsevierStyleCrossRef" href="#bib0120">7</a> which was similar to the observed immune injury of SARS in 2003. The results observed with SARS infections primarily showed decreases in T lymphocytes, CD4+, and CD8+T lymphocytes.<a class="elsevierStyleCrossRef" href="#bib0125">8</a> The results of our study also showed that the lymphocyte ratios from both the non-survival group and the survival group were lower than the normal value. However, there was no significant difference in the lymphocyte ratio between the two groups. There were differences in platelets between the survival group and the non-survival group, and the possible reasons were as follows. First, the novel coronavirus directly affected the hematopoietic system, resulting in hematopoietic inhibition.<a class="elsevierStyleCrossRef" href="#bib0130">9</a> Second, it is possible that infection led to the activation of blood coagulation and increased platelet consumption in the non-survival group.<a class="elsevierStyleCrossRef" href="#bib0135">10</a> Thrombocytopenia is often associated with the prognosis of patients with pneumonia.The causes of organ function damage due to CoV infection are as follows. (1) The novel coronavirus entered the body by binding to angiotensin-converting enzyme 2 (ACE-2) on the surface of alveolar epithelial cells, thus causing damage to the lungs of patients with CoV infection.<a class="elsevierStyleCrossRef" href="#bib0140">11</a> When acute lung injury occurred, organ ischemia and hypoxia resulted in organ damage and organ dysfunction. (2) In previous studies of coronavirus, it has been reported that the critical threat of coronavirus infection to the human body was that the virus had considerable vasotropism and vascular endothelial injury was an important basis for the pathological changes in organs.<a class="elsevierStyleCrossRef" href="#bib0145">12</a> (3) The immune cell state seen in COVID-19 infections was highly activated, which was mainly characterized by increased Th17 cells and the high cytotoxicity of CD8 cells, indicating that the patients had severe immune injuries, which affected organ function.<a class="elsevierStyleCrossRefs" href="#bib0150">13,14</a> (4) In previous studies, CoV caused direct damage to the lungs and intestines,<a class="elsevierStyleCrossRef" href="#bib0155">14</a> but the current pathological results from liver biopsies showed mild steatosis and slight abnormalities in the lobules and portal vein, which might be related to either viral damage or drug damage. A small amount of monocyte inflammatory infiltration has been seen in the heart tissue, and no other substantial damage has been reported.<a class="elsevierStyleCrossRef" href="#bib0160">15</a> Therefore, COVID-19 infection might cause direct damage to various organs.In our study, CK-MB, LDH, CK, AST, BUN, and CR were higher in the non-survival group compared to the survival group. However, due to the large number of middle-aged and elderly patients infected with COVID-19, the results concerning cardiac function may be affected by other underlying diseases. Inflammation, infection, and other factors lead to excessive activation of blood coagulation.<a class="elsevierStyleCrossRef" href="#bib0165">16</a> In this study, the D-Dimer, PT, FIB, and F VIII:C in the non-survival group were higher than in the survival group, and the differences were statistically significant. The blood of the patients with COVID19 appeared to be in a hypercoagulable state, which resulted in the consumption of coagulation factors, and likely promoted the development of disseminated intravascular coagulation (DIC), resulting in the COVID19 endpoint events.<a class="elsevierStyleCrossRef" href="#bib0170">17</a>In this study we think of patient's hospitalization as the survival time because of the time when COVID-19 patients infected is not clear. As described in the results, the 7-day and 28-day mortality rates of severe COVID-19 patients are respectively 6.86% and 24.51%. Therefore, the mortality rate of severe COVID-19 patients is relatively high.The ROC curve area for PLT in this study was 0.721, which also suggested that thrombocytopenia indicates a poor prognosis in patients infected with COVID-19.The prognostic values of AST, BUN, CR, D-Dimer, PT, FIB, F VIII:C, CK-MB, CK, and LDH were analyzed by ROC curve analysis, and the areas under the curve were 0.854, 0.867, 0.757, 0.699, 0.679, 0.715, 0.811, 0.935, and 0.802, respectively. The results indicated that these blood indices had prognostic value in COVID-19 infected patients. The indicators were significantly increased in covid-19 patients, Which indicated a higher risk of death. So we should actively prevent and treat complications and give organ function support.ConclusionThe new virus outbreak is having a severe impact on the global economy, medical treatment, and public health. Therefore, attention should be paid to potential multiple organ damage during the treatment of patients who are critically ill with COVID-19. Early analysis of blood indicators and the protection of organ function can improve the survival rate of critically ill patients.Financial supportThis study was supported by the National Natural Science Foundation of Jiangsu Province (No. BK20170147), and the Nanjing Medical Science and Technique Development Foundation (No. YKK16181).Conflict of interestThe authors declare that there is no conflict of interests." "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres1440933" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1315099" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1440934" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Materiales y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1315100" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Material and methods" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Clinical data" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Research methods" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Statistical methods" ] ] ] 6 => array:3 [ "identificador" => "sec0030" "titulo" => "Results" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0035" "titulo" => "Comparison of general data between the two groups" ] 1 => array:2 [ "identificador" => "sec0040" "titulo" => "Ventilation in the two groups" ] 2 => array:2 [ "identificador" => "sec0045" "titulo" => "Comparison of routine blood tests between the two groups" ] 3 => array:3 [ "identificador" => "sec0050" "titulo" => "Comparison of blood indices of organ function in the two groups" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0055" "titulo" => "Liver function index" ] 1 => array:2 [ "identificador" => "sec0060" "titulo" => "Renal function index" ] 2 => array:2 [ "identificador" => "sec0065" "titulo" => "Coagulation function index" ] 3 => array:2 [ "identificador" => "sec0070" "titulo" => "Cardiac function index" ] ] ] 4 => array:2 [ "identificador" => "sec0075" "titulo" => "ROC curve analysis of blood indices to evaluate the prognosis of COVID-19" ] ] ] 7 => array:2 [ "identificador" => "sec0080" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0085" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0090" "titulo" => "Financial support" ] 10 => array:2 [ "identificador" => "sec0095" "titulo" => "Conflict of interest" ] 11 => array:2 [ "identificador" => "xack503001" "titulo" => "Acknowledgements" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2020-04-09" "fechaAceptado" => "2020-05-20" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1315099" "palabras" => array:4 [ 0 => "COVID-19" 1 => "Pneumonia" 2 => "Organ function" 3 => "Prognosis" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1315100" "palabras" => array:4 [ 0 => "COVID-19" 1 => "Neumonía" 2 => "Función del órgano" 3 => "Pronóstico" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "ObjectiveThe purpose of our study was to assess organ function in 102 patients with severe COVID-19 infections, using retrospective clinical analysis. Material and methodsA retrospective analysis was conducted on 102 patients with severe COVID-19 infections. The patients were divided into a survival group (n=73) and a non-survival group (n=29) according to their prognosis. The age, sex, underlying diseases, clinical laboratory data within 48h (routine blood tests, ALT, AST, TBIL, ALB, BUN, CR, D-Dimer, PT, APTT, FIB, F VIII:C, CK-MB, CK, and LDH), and ventilation status were collected. The organ functions of these severe COVID-19 patients were assessed by comparing the differences between the two groups. ResultsAST, BUN, CR, CK-MB, LDH, and CK in the non-survival group were higher than those in the survival group, and the differences were statistically significant (P<0.05). D-Dimer, PT, FIB, and F VIII:C in the non-survival group were higher than the values observed in the survival group, and the differences were statistically significant (P<0.05). PLT, AST, BUN, CR, D-Dimer, PT, FIB, F VIII:C, CK-MB, CK, and LDH predicted the area under the ROC curve (AUC) of the COVID19 endpoint events and were 0.721, 0.854, 0.867, 0.757, 0.699, 0.679, 0.715, 0.811, 0.935, and 0.802, respectively. ConclusionThe results showed that there were different degrees of damage to the liver, kidneys, blood coagulation, and heart function in the non-survival group. In addition, PLT, AST, BUN, CR, D-Dimer, PT, FIB, F VIII:C, CK-MB, CK, and LDH had value in evaluating disease prognosis." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "ObjetivoNuestro estudio tiene como objetivo evaluar la función del órgano en 102 pacientes con infección grave COVID-19 mediante análisis clínicos retrospectivos. Materiales y métodosAnálisis retrospectivo de 102 pacientes con infección grave COVID-19. Los pacientes se dividieron en grupo de supervivencia (n=73) y grupo de no supervivencia (n=29) según la pre-fase. Edad, género, enfermedades subyacentes, datos de laboratorio clínico dentro de las 48h (prueba de sangre de rutina, ALT, AST, TBIL, ALB, BUN, CR, dímero D, PT, APTT, FIB, F VIII: C, CK-MB, CK y LDH), y el estado de ventilación. Al comparar las diferencias entre los 2 grupos, se evaluó la función orgánica de estos pacientes graves con COVID-19. ResultadosAST, BUN, CR, CK-MB, LDH y CK fueron todos más altos que el grupo de supervivencia en el grupo no sobreviviente, con una diferencia estadísticamente significativa (p<0,05). Dímero D, PT, FIB y F VIII: C fueron mayores que el grupo de supervivencia en el grupo de no supervivencia, y la diferencia fue estadísticamente significativa (p<0,05). PLT, AST, BUN, CR, dímero D, PT, FIB, F VIII: C, CK-MB, CK y LDH predijeron el área de curva inferior ROC (AUC) del evento final COVID-19, a 0,721, 0,854, 0,867, 0,757, 0,699, 0,679, 0,715, 0,811, 0,935 y 0,802, respectivamente. ConclusiónLos resultados mostraron que el grupo de no supervivencia tenía diferentes grados de daño al hígado, riñón, coagulación y función cardíaca. Además, PLT, AST, BUN, CR, dímero D, PT, FIB, F VIII:C, CK-MB, CK y LDH tienen valor en la evaluación del pronóstico de la enfermedad." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Materiales y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] ] "NotaPie" => array:1 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "Contributed equally." "identificador" => "fn0005" ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1564 "Ancho" => 1519 "Tamanyo" => 74175 ] ] "descripcion" => array:1 [ "en" => "ROC curve analysis of PLT in evaluating the prognosis of COVID-19 patients." ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1330 "Ancho" => 1562 "Tamanyo" => 102964 ] ] "descripcion" => array:1 [ "en" => "ROC curve analysis of the blood indices of organ function to evaluate the prognosis of severe COVID-19." ] ] 2 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Group \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Survival group (n=73) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Non-survival group (n=29) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sex</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">P=0.404</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (year) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72.60±13.15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.22±13.61 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">P=0.015 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Length of stay (days) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.53±8.31 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18.54±1.16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">P=0.052 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7-Day mortality \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (6.86%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28-Day mortality \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (24.51%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Ventilation</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Non-invasive ventilation \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">P=0.01</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Invasive ventilation<a class="elsevierStyleCrossRef" href="#tblfn0005">a</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">None<a class="elsevierStyleCrossRefs" href="#tblfn0010">b,c</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2478609.png" ] ] ] "notaPie" => array:3 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "Indicates that the number of non-invasive and invasive ventilation patients in the survival group and the non-survival group is statistically different, P=0.00." ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "Indicates that the number of patients without ventilation and the number of non-invasive ventilation patients in the survival group and the non-survival group is statistically different, P=0.00." ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "c" "nota" => "Indicates that the number of patients without ventilation and the number of invasive ventilation patients in the survival group and the non-survival group is statistically different, P=0.00." ] ] ] "descripcion" => array:1 [ "en" => "Baseline data and ventilation for novel coronavirus pneumonia in two groups." ] ] 3 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Index \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Survival group(n=73) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Non-survival group(n=29) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Blood routine</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WBC (×10^9/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.92 [2.83] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.70 [0.49] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.226 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LYM (×10^9/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.66 [0.49] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.64 [0.44] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.694 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PLT (×10^12/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">153 [66] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">113 [58] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.013 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Liver function</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ALT (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.0 [21.0] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31.0 [33.0] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.169 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">AST (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">32.0 [13.0] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51.0 [50.0] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ALB (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.55±4.56 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.11±6.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.115 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TBIL (μmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.3 [5.7] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.2 [14.0] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.090 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Renal function</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BUN (μmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.2 [2.0] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.0 [4.4] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CR (μmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58.4 [31.8] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86.4 [25.5] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Coagulation function</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">D-Dmer (μg/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.24 [0.29] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.57 [3.25] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.025 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PT (s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.6 [1.2] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.4 [2.6] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.044 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">APTT (s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40.2 [7.1] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40.7 [8.5] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.511 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FIB (g/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.13 [1.63] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.22 [2.59] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.065 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVIII:C (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.50 [0.00] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.17 [29.8] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cardiac function</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CK-MB (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.8 [1.8] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.2 [11.7] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CK (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68 [74] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">327 [773] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LDH (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">352.1±140.91 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">785.47±274.40 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.047 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2478608.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Blood index of 102 patients with severe COVID-19." ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:17 [ 0 => array:3 [ "identificador" => "bib0090" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Epidemiology, genetic recombination, and pathogenesis of coronaviruses" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S. 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Original article

Evaluation of organ function in patients with severe COVID-19 infections

Evaluación de la función del órgano en pacientes con infección grave por COVID-19

Yingjie Zhua,1, Ziqiang Dua,1, Yanfang Zhub,1, Wenfeng Lic,1, Hongjun Miaoa, Zhuo Lia,

Corresponding author

lizhuo2004@126.com

Corresponding author.

a Department of Emergency, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing 210008, PR China

b Department of Critical Care Medicine, Huangshi Hospital of TCM(Infectious Disease Hospital), 12 Guangchang Road, Huangshi 435000, PR China, 12 Guangchang Road, Huangshi 435000, PR China

c Department of Pediatric Intensive Care Unit, E Dong Medical Group Huangshi Central Hospital, 141 Tianjin Road, Huangshi 435000, PR China

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The International Committee on Taxonomy of Viruses &#40;ICTV&#41; divides CoVs into four types&#58; Alphacoronavirus &#40;&#945;CoV&#41;&#44; Betacoronavirus &#40;&#946;CoV&#41;&#44; Deltacoronavirus &#40;&#948;CoV&#41;&#44; and Gammacoronavirus &#40;&#947;CoV&#41;&#46; Human coronavirus &#40;HCoV&#41; infection mainly refers to &#945; or &#946;CoV&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">1</span></a> The novel coronavirus &#40;formerly known as 2019-nCoV&#41; belongs to the &#946;CoV type&#46; At first&#44; it was thought that the infection was not a result of human-to-human transmission&#46; Later&#44; it was found that the virus had clear human-to-human transmission&#44; high infectivity&#44; and severe pathogenicity&#46;<a class="elsevierStyleCrossRefs" href="#bib0095"><span class="elsevierStyleSup">2&#44;3</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The main clinical manifestations of COVID-19 are fever&#44; cough&#44; and fatigue&#46; Patients with severe infections can experience acute respiratory distress syndrome &#40;ARDS&#41;&#44; and even multiple organ failure &#40;MODS&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib0100"><span class="elsevierStyleSup">3&#44;4</span></a> The purpose of this study was to assess organ function in infected patients who did not survive compared to patients who did survive in a cohort of severe COVID-19 patients&#46; A clinical retrospective study was used that included collection of blood indices from 102 cases&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Material and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Clinical data</span><p id="par0020" class="elsevierStylePara elsevierViewall">Clinical data were collected retrospectively from severe COVID-19 patients admitted to Huangshi Hospital of TCM &#40;Infectious Disease Hospital&#41; and E Dong Medical Group Huangshi Central Hospital in Hubei Province from February 2020&#44; to March 2020&#46; The patients were divided into a survival group and a non-survival group according to their prognosis&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">The inclusion criteria were as follows&#58; &#40;1&#41; The diagnosis of COVID-19 infection matched the novel coronavirus&#39;s diagnosis and treatment program established in China&#46; &#40;2&#41; The patient met the criteria for the COVID-19 diagnosis and treatment program &#40;7th edition&#41; for severe cases&#46; These criteria included respiratory distress &#40;RR<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>30<span class="elsevierStyleHsp" style=""></span>times&#47;min&#41;&#44; oxygen saturation less than 93&#37; in the resting state&#44; and an oxygen partial pressure in arterial blood &#40;PaO<span class="elsevierStyleInf">2</span>&#41;&#47;oxygen concentration &#40;FiO<span class="elsevierStyleInf">2</span>&#41; that was less than 300<span class="elsevierStyleHsp" style=""></span>mm Hg &#40;1<span class="elsevierStyleHsp" style=""></span>mg Hg<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;133<span class="elsevierStyleHsp" style=""></span>kPa&#41;&#46; Also&#44; the PaO<span class="elsevierStyleInf">2</span>&#47;FiO<span class="elsevierStyleInf">2</span> was corrected according to the formula&#44; PaO<span class="elsevierStyleInf">2</span>&#47;FiO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>&#91;atmospheric pressure &#40;mm Hg&#41;&#47;760&#93;&#46; Lastly&#44; pulmonary imaging showed that the lesions progressed to more than 50&#37; in 24&#8211;48<span class="elsevierStyleHsp" style=""></span>h&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">3</span></a> &#40;3&#41; The patients&#8217; clinical data were complete&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Research methods</span><p id="par0030" class="elsevierStylePara elsevierViewall">The patients with COVID-19 infections were retrospectively analyzed and divided into a survival group and a non-survival group according to their prognosis&#46; Age&#44; sex&#44; and underlying disease data were collected&#46; Routine blood tests were performed on the blood samples by using blood analyzer Abbott CD-3700&#59; Blood biochemistry parameters&#91;glutamic pyruvic transaminase &#40;ALT&#41;&#44; glutamic oxaloacetic transaminase &#40;AST&#41;&#44; total bilirubin &#40;TBIL&#41;&#44; albumin &#40;ALB&#41;&#44; urea nitrogen &#40;BUN&#41;&#44; creatinine &#40;CR&#41;&#44;creatine kinase isoenzyme &#40;CK-MB&#41;&#44; creatine kinase &#40;CK&#41;&#44; and lactate dehydrogenase &#40;LDH&#41;&#93; were determined using Toshiba TBA-120FR automated biochemistry analyzer&#59; Coagulation functions&#91;D-Dimer&#44; prothrombin time &#40;PT&#41;&#44; partially activated prothrombin time &#40;APTT&#41;&#44; fibrinogen &#40;FIB&#41;&#44; coagulation VIII factor activity &#40;F VIII&#58;C&#41;&#93;was detected by Sysmex CA50 Biomerieux mini-vidas automatic fluorescence immunoanalyzer&#46; All the operations were done by specially assigned personnel and in strict accordance with the instructions regarding the use of the reagents&#46; All the blood test indices were collected within 48<span class="elsevierStyleHsp" style=""></span>h Statistical&#46; In all the blood test indices&#44; one patient lacked F VIII&#58;C test result&#44; so We used imputation to get the complete data&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Statistical methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">SPSS&#44; version 22&#46;0&#44; data analysis software was used to analyze the data&#46; The Shapiro&#8211;Wilk test was used to assess the normality of the measured data&#46; The data with normal distributions were expressed by <span class="elsevierStyleItalic">X</span><span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">S</span>&#44; and the <span class="elsevierStyleItalic">t</span>-test was used for comparison between groups&#46; The data with non-normal distribution were assessed using medians&#44; and the quartile spacing was reflected by <span class="elsevierStyleItalic">M</span> &#40;QR&#41;&#46; The rank-sum test was used for inter-group comparisons&#46; The area under the ROC curve &#40;AUC&#41; was calculated by drawing the working characteristic curve for the subjects&#46; The differences were determined to be statistically significant at <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Comparison of general data between the two groups</span><p id="par0040" class="elsevierStylePara elsevierViewall">One hundred and two patients with severe COVID-19 infections were enrolled in the study&#46; The patients included 59 males and 43 females&#44; aged 32&#8211;90 years old&#44; with an average age of 65&#46;21<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>14&#46;27 years&#46; The data obtained from all patients were tested for normality&#46; The age and days of hospitalization for the two groups showed normal distributions&#44; and the test for homogeneity of variance demonstrated that the variance was homogeneous&#46; The average age of patients in the survival group and the non-survival group were 62&#46;22<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;61 and 72&#46;60<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;15 years old&#44; respectively&#46; The difference was statistically significant &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; There was no significant difference in gender between the two groups&#44; and the days of hospitalization for the two groups were 13&#46;53<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;31 and 18&#46;54<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;16 days&#44; respectively&#44; which also showed no significant differences between the two groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; The 7-day and 28-day mortality rates of severe COVID-19 patients are respectively 6&#46;86&#37; and 24&#46;51&#37; as seen in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Ventilation in the two groups</span><p id="par0045" class="elsevierStylePara elsevierViewall">According to the ventilation statistics of the 102 patients in this study&#44; it was observed that of the 73 patients in the survival group&#44; 4 patients needed invasive ventilation&#44; and 23 patients were treated with non-invasive ventilation&#46; Of the patients in the non-survival group&#44; 29 received auxiliary ventilation&#44; including 4 patients who received non-invasive ventilation&#44; and 25 patients who received invasive ventilation&#46; The difference between these two groups was statistically significant &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#44; as seen in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Comparison of routine blood tests between the two groups</span><p id="par0050" class="elsevierStylePara elsevierViewall">In this study&#44; the average values for the lymphocyte ratio in the non-survival group and the survival group were 0&#46;76<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;47 and 0&#46;76<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;35&#44; respectively&#46; These values were below the reported normal lower limit value of 1&#46;1<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>10&#94;9&#47;L and were significantly different from the normal lower limit when assessed using single sample <span class="elsevierStyleItalic">t</span>-tests &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; However&#44; there was no significant difference in the lymphocyte ratios between the two patient groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; There also was no significant difference in the leukocyte counts between the two patient groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; The platelet count in the survival group was significantly higher compared to the non-survival group &#40;163&#46;53<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>59&#46;20 vs&#46; 126&#46;80 <span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>53&#46;50&#44; respectively&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#44; as seen in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Comparison of blood indices of organ function in the two groups</span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Liver function index</span><p id="par0055" class="elsevierStylePara elsevierViewall">The measurement data from the patients were tested for normality&#46; The ALB of the two groups conformed to a normal distribution&#44; and the test for homogeneity of variance showed that the variance was homogeneous&#46; Therefore&#44; a <span class="elsevierStyleItalic">t</span>-test was used to compare the differences in ALB between the survival group and the non-survival group&#46; The analysis showed that there was no significant difference between the two groups&#46; The ALT&#44; AST&#44; and TBIL measurements from the two groups did not conform to normal distributions&#46; Therefore&#44; the rank-sum test was used to compare the differences of ALT&#44; AST&#44; and TBIL between the two patient groups&#46; The results showed that there was a significant difference in AST between the two groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#44; but there was no significant difference in ALT or TBIL between the two groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Renal function index</span><p id="par0060" class="elsevierStylePara elsevierViewall">The test for normality revealed that the data for BUN and CR from the two groups did not show normal distributions&#46; The rank-sum test was used to compare the differences in BUN and CR between the survival group and the non-survival group&#44; and the differences were statistically significant &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46;</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Coagulation function index</span><p id="par0065" class="elsevierStylePara elsevierViewall">When the data from the two patient groups were tested for normality for D-Dimer&#44; PT&#44; APTT&#44; FIB&#44; and F VIII&#58;C&#44; we observed that the data did not conform to normal distributions&#46; Thus&#44; the rank-sum test was used to compare the differences of D-Dimer&#44; PT&#44; APTT&#44; FIB&#44; and F VIII&#58;C between the survival group and the non-survival group&#46; The results showed that there were significant differences in D-Dimer&#44; PT&#44; F VIII&#58;C between the two groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#44; but there was no significant difference in APTT or FIB &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#44; as shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Cardiac function index</span><p id="par0070" class="elsevierStylePara elsevierViewall">The data for cardiac function from the patients were tested for normal distribution&#46; The LDH data from the two groups conformed to a normal distribution&#44; and the test of variance showed that the variance was uneven&#46; A <span class="elsevierStyleItalic">t</span>-test was used to compare the difference of LDH between the survival group and the non-survival group&#44; and the difference between the two groups was statistically significant &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; However&#44; the CK-MB and CK data from the two groups did not show a normal distribution&#46; Therefore&#44; the differences in CK-MB and CK between the survival group and the non-survival group were compared using the rank-sum test&#44; which showed that there were significant differences in CK-MB and CK between the two groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; In addition&#44; patients in both groups had underlying cardiovascular disease&#46; There were 15 such cases in the non-survival group and 33 cases in the survival group&#46; The chi-square test applied to these data indicated that the differences were not significant &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46;</p></span></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">ROC curve analysis of blood indices to evaluate the prognosis of COVID-19</span><p id="par0075" class="elsevierStylePara elsevierViewall">The prognostic evaluation of PLT in the survival group and the non-survival group was analyzed using ROC curves&#46; The area under the curve was 0&#46;721&#44; indicating that PLT had some value in predicting the prognosis&#44; as shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#46; The prognostic values of AST&#44; BUN&#44; CR&#44; D-Dimer&#44; PT&#44; FIB&#44; F VIII&#58;C&#44; CK-MB&#44; CK&#44; and LDH in both groups also were analyzed using the ROC curve analysis&#46; The areas under the curve were 0&#46;854&#44; 0&#46;867&#44; 0&#46;757&#44; 0&#46;699&#44; 0&#46;679&#44; 0&#46;715&#44; 0&#46;811&#44; 0&#46;935&#44; and 0&#46;802&#44; respectively&#46; These results demonstrated that these organ function blood indices had prognostic value in COVID-19 infections&#44; as shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Discussion</span><p id="par0080" class="elsevierStylePara elsevierViewall">The novel coronavirus is a member of the &#946; coronavirus type&#44; with humans as the host&#46; Since the first human coronavirus &#40;HCoV&#41; was isolated from the nasal secretions of patients with the common cold in 1965&#44; six different strains of CoV are known to infect humans&#46; These CoV strains include severe acute respiratory syndrome coronavirus &#40;SARS-CoV&#41;&#44; Middle East respiratory syndrome coronavirus &#40;MERS-CoV&#41;&#44; and the common cold viruses in individuals with strong immunity &#40;such as 229E&#44; OC43&#44; NL63&#44; and HKU1&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">1</span></a> This novel coronavirus&#44; COVID-19&#44; has more than 85&#37; homology with the previously detected bat coronavirus &#40;a SARS-related coronavirus species&#44; that is&#44; SARS coronavirus&#41;&#46; However&#44; there are clear differences in the genetic characteristics of COVID-19 compared with SARS-CoV and MERS-CoV&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">5</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">Through observation of the current global epidemic situation&#44; we can demonstrate the infectivity and pathogenicity of COVID-19&#46; To the treatment of COVID-19&#44; the main treatment is antiviral therapy&#44; such as interferon&#44; lopinavir&#44; ribavirin and so on&#46; More than that to patients with severe COVID-19 infections&#44; oxygen therapy and actively treatment of complications are indispensable&#46; Of course&#44; we should also inform patients to rest in bed and enhance nutrition&#44;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">3</span></a> and for the complications&#44; recent clinical work has shown that COVID-19 infections not only cause pneumonia but also cause damage to other organs such as the heart&#44; liver&#44; and kidneys&#44; as well as the blood and immune systems&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">6</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">In this paper&#44; 102 patients with severe COVID-19 infections were divided into two groups according to their prognosis&#44; namely a non-survival group and a survival group&#46; The blood indices for different organ functions were compared between these two groups&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">There was a difference in ventilation between the two groups&#46; Most patients in the survival group received noninvasive ventilation&#44; while those in the non-survival group needed more invasive ventilation&#44; and all patients in the non-survival group received Oxygen therapy&#46; This result also suggests that there was a higher demand for auxiliary ventilation in patients with severe COVID19&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">The decrease in the lymphocyte ratio is a clinical characteristic of CoV infections&#44;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">7</span></a> which was similar to the observed immune injury of SARS in 2003&#46; The results observed with SARS infections primarily showed decreases in T lymphocytes&#44; CD4&#43;&#44; and CD8&#43;T lymphocytes&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">8</span></a> The results of our study also showed that the lymphocyte ratios from both the non-survival group and the survival group were lower than the normal value&#46; However&#44; there was no significant difference in the lymphocyte ratio between the two groups&#46; There were differences in platelets between the survival group and the non-survival group&#44; and the possible reasons were as follows&#46; First&#44; the novel coronavirus directly affected the hematopoietic system&#44; resulting in hematopoietic inhibition&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">9</span></a> Second&#44; it is possible that infection led to the activation of blood coagulation and increased platelet consumption in the non-survival group&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">10</span></a> Thrombocytopenia is often associated with the prognosis of patients with pneumonia&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">The causes of organ function damage due to CoV infection are as follows&#46; &#40;1&#41; The novel coronavirus entered the body by binding to angiotensin-converting enzyme 2 &#40;ACE-2&#41; on the surface of alveolar epithelial cells&#44; thus causing damage to the lungs of patients with CoV infection&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">11</span></a> When acute lung injury occurred&#44; organ ischemia and hypoxia resulted in organ damage and organ dysfunction&#46; &#40;2&#41; In previous studies of coronavirus&#44; it has been reported that the critical threat of coronavirus infection to the human body was that the virus had considerable vasotropism and vascular endothelial injury was an important basis for the pathological changes in organs&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">12</span></a> &#40;3&#41; The immune cell state seen in COVID-19 infections was highly activated&#44; which was mainly characterized by increased Th17 cells and the high cytotoxicity of CD8 cells&#44; indicating that the patients had severe immune injuries&#44; which affected organ function&#46;<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">13&#44;14</span></a> &#40;4&#41; In previous studies&#44; CoV caused direct damage to the lungs and intestines&#44;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">14</span></a> but the current pathological results from liver biopsies showed mild steatosis and slight abnormalities in the lobules and portal vein&#44; which might be related to either viral damage or drug damage&#46; A small amount of monocyte inflammatory infiltration has been seen in the heart tissue&#44; and no other substantial damage has been reported&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">15</span></a> Therefore&#44; COVID-19 infection might cause direct damage to various organs&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">In our study&#44; CK-MB&#44; LDH&#44; CK&#44; AST&#44; BUN&#44; and CR were higher in the non-survival group compared to the survival group&#46; However&#44; due to the large number of middle-aged and elderly patients infected with COVID-19&#44; the results concerning cardiac function may be affected by other underlying diseases&#46; Inflammation&#44; infection&#44; and other factors lead to excessive activation of blood coagulation&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">16</span></a> In this study&#44; the D-Dimer&#44; PT&#44; FIB&#44; and F VIII&#58;C in the non-survival group were higher than in the survival group&#44; and the differences were statistically significant&#46; The blood of the patients with COVID19 appeared to be in a hypercoagulable state&#44; which resulted in the consumption of coagulation factors&#44; and likely promoted the development of disseminated intravascular coagulation &#40;DIC&#41;&#44; resulting in the COVID19 endpoint events&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">17</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">In this study we think of patient&#39;s hospitalization as the survival time because of the time when COVID-19 patients infected is not clear&#46; As described in the results&#44; the 7-day and 28-day mortality rates of severe COVID-19 patients are respectively 6&#46;86&#37; and 24&#46;51&#37;&#46; Therefore&#44; the mortality rate of severe COVID-19 patients is relatively high&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">The ROC curve area for PLT in this study was 0&#46;721&#44; which also suggested that thrombocytopenia indicates a poor prognosis in patients infected with COVID-19&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">The prognostic values of AST&#44; BUN&#44; CR&#44; D-Dimer&#44; PT&#44; FIB&#44; F VIII&#58;C&#44; CK-MB&#44; CK&#44; and LDH were analyzed by ROC curve analysis&#44; and the areas under the curve were 0&#46;854&#44; 0&#46;867&#44; 0&#46;757&#44; 0&#46;699&#44; 0&#46;679&#44; 0&#46;715&#44; 0&#46;811&#44; 0&#46;935&#44; and 0&#46;802&#44; respectively&#46; The results indicated that these blood indices had prognostic value in COVID-19 infected patients&#46; The indicators were significantly increased in covid-19 patients&#44; Which indicated a higher risk of death&#46; So we should actively prevent and treat complications and give organ function support&#46;</p></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Conclusion</span><p id="par0130" class="elsevierStylePara elsevierViewall">The new virus outbreak is having a severe impact on the global economy&#44; medical treatment&#44; and public health&#46; Therefore&#44; attention should be paid to potential multiple organ damage during the treatment of patients who are critically ill with COVID-19&#46; Early analysis of blood indicators and the protection of organ function can improve the survival rate of critically ill patients&#46;</p></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Financial support</span><p id="par0135" class="elsevierStylePara elsevierViewall">This study was supported by the <span class="elsevierStyleGrantSponsor" id="gs1">National Natural Science Foundation of Jiangsu Province</span> &#40;No&#46; <span class="elsevierStyleGrantNumber" refid="gs1">BK20170147</span>&#41;&#44; and the <span class="elsevierStyleGrantSponsor" id="gs2">Nanjing Medical Science and Technique Development Foundation</span> &#40;No&#46; <span class="elsevierStyleGrantNumber" refid="gs2">YKK16181</span>&#41;&#46;</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Conflict of interest</span><p id="par0140" class="elsevierStylePara elsevierViewall">The authors declare that there is no conflict of interests&#46;</p></span></span>"
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              "titulo" => "ROC curve analysis of blood indices to evaluate the prognosis of COVID-19"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The purpose of our study was to assess organ function in 102 patients with severe COVID-19 infections&#44; using retrospective clinical analysis&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A retrospective analysis was conducted on 102 patients with severe COVID-19 infections&#46; The patients were divided into a survival group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>73&#41; and a non-survival group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>29&#41; according to their prognosis&#46; The age&#44; sex&#44; underlying diseases&#44; clinical laboratory data within 48<span class="elsevierStyleHsp" style=""></span>h &#40;routine blood tests&#44; ALT&#44; AST&#44; TBIL&#44; ALB&#44; BUN&#44; CR&#44; D-Dimer&#44; PT&#44; APTT&#44; FIB&#44; F VIII&#58;C&#44; CK-MB&#44; CK&#44; and LDH&#41;&#44; and ventilation status were collected&#46; The organ functions of these severe COVID-19 patients were assessed by comparing the differences between the two groups&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">AST&#44; BUN&#44; CR&#44; CK-MB&#44; LDH&#44; and CK in the non-survival group were higher than those in the survival group&#44; and the differences were statistically significant &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; D-Dimer&#44; PT&#44; FIB&#44; and F VIII&#58;C in the non-survival group were higher than the values observed in the survival group&#44; and the differences were statistically significant &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; PLT&#44; AST&#44; BUN&#44; CR&#44; D-Dimer&#44; PT&#44; FIB&#44; F VIII&#58;C&#44; CK-MB&#44; CK&#44; and LDH predicted the area under the ROC curve &#40;AUC&#41; of the COVID19 endpoint events and were 0&#46;721&#44; 0&#46;854&#44; 0&#46;867&#44; 0&#46;757&#44; 0&#46;699&#44; 0&#46;679&#44; 0&#46;715&#44; 0&#46;811&#44; 0&#46;935&#44; and 0&#46;802&#44; respectively&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The results showed that there were different degrees of damage to the liver&#44; kidneys&#44; blood coagulation&#44; and heart function in the non-survival group&#46; In addition&#44; PLT&#44; AST&#44; BUN&#44; CR&#44; D-Dimer&#44; PT&#44; FIB&#44; F VIII&#58;C&#44; CK-MB&#44; CK&#44; and LDH had value in evaluating disease prognosis&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Nuestro estudio tiene como objetivo evaluar la funci&#243;n del &#243;rgano en 102 pacientes con infecci&#243;n grave COVID-19 mediante an&#225;lisis cl&#237;nicos retrospectivos&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Materiales y m&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">An&#225;lisis retrospectivo de 102 pacientes con infecci&#243;n grave COVID-19&#46; Los pacientes se dividieron en grupo de supervivencia &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>73&#41; y grupo de no supervivencia &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>29&#41; seg&#250;n la pre-fase&#46; Edad&#44; g&#233;nero&#44; enfermedades subyacentes&#44; datos de laboratorio cl&#237;nico dentro de las 48<span class="elsevierStyleHsp" style=""></span>h &#40;prueba de sangre de rutina&#44; ALT&#44; AST&#44; TBIL&#44; ALB&#44; BUN&#44; CR&#44; d&#237;mero D&#44; PT&#44; APTT&#44; FIB&#44; F VIII&#58; C&#44; CK-MB&#44; CK y LDH&#41;&#44; y el estado de ventilaci&#243;n&#46; Al comparar las diferencias entre los 2 grupos&#44; se evalu&#243; la funci&#243;n org&#225;nica de estos pacientes graves con COVID-19&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">AST&#44; BUN&#44; CR&#44; CK-MB&#44; LDH y CK fueron todos m&#225;s altos que el grupo de supervivencia en el grupo no sobreviviente&#44; con una diferencia estad&#237;sticamente significativa &#40;p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#41;&#46; D&#237;mero D&#44; PT&#44; FIB y F VIII&#58; C fueron mayores que el grupo de supervivencia en el grupo de no supervivencia&#44; y la diferencia fue estad&#237;sticamente significativa &#40;p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#41;&#46; PLT&#44; AST&#44; BUN&#44; CR&#44; d&#237;mero D&#44; PT&#44; FIB&#44; F VIII&#58; C&#44; CK-MB&#44; CK y LDH predijeron el &#225;rea de curva inferior ROC &#40;AUC&#41; del evento final COVID-19&#44; a 0&#44;721&#44; 0&#44;854&#44; 0&#44;867&#44; 0&#44;757&#44; 0&#44;699&#44; 0&#44;679&#44; 0&#44;715&#44; 0&#44;811&#44; 0&#44;935 y 0&#44;802&#44; respectivamente&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusi&#243;n</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Los resultados mostraron que el grupo de no supervivencia ten&#237;a diferentes grados de da&#241;o al h&#237;gado&#44; ri&#241;&#243;n&#44; coagulaci&#243;n y funci&#243;n card&#237;aca&#46; Adem&#225;s&#44; PLT&#44; AST&#44; BUN&#44; CR&#44; d&#237;mero D&#44; PT&#44; FIB&#44; F VIII&#58;C&#44; CK-MB&#44; CK y LDH tienen valor en la evaluaci&#243;n del pron&#243;stico de la enfermedad&#46;</p></span>"
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">Renal function</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">BUN &#40;&#956;mol&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">4&#46;2 &#91;2&#46;0&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">7&#46;0 &#91;4&#46;4&#93;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">CR &#40;&#956;mol&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">58&#46;4 &#91;31&#46;8&#93;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">86&#46;4 &#91;25&#46;5&#93;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;004&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " rowspan="5" align="left" valign="\n
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                  \t\t\t\t">D-Dmer &#40;&#956;g&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;24 &#91;0&#46;29&#93;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;57 &#91;3&#46;25&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;025&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">PT &#40;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">11&#46;6 &#91;1&#46;2&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">12&#46;4 &#91;2&#46;6&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;044&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">APTT &#40;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">40&#46;2 &#91;7&#46;1&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">40&#46;7 &#91;8&#46;5&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;511&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">FIB &#40;g&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">5&#46;13 &#91;1&#46;63&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">4&#46;22 &#91;2&#46;59&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;065&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">FVIII&#58;C &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">2&#46;50 &#91;0&#46;00&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">3&#46;17 &#91;29&#46;8&#93;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;003&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " rowspan="3" align="left" valign="\n
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                  \t\t\t\t">Cardiac function</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CK-MB &#40;U&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">1&#46;8 &#91;1&#46;8&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">7&#46;2 &#91;11&#46;7&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CK &#40;U&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">68 &#91;74&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">327 &#91;773&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LDH &#40;U&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">352&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>140&#46;91&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">785&#46;47<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>274&#46;40&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;047&nbsp;\t\t\t\t\t\t\n
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                  """
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        "descripcion" => array:1 [
          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Blood index of 102 patients with severe COVID-19&#46;</p>"
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                    0 => array:2 [
                      "titulo" => "Epidemiology&#44; genetic recombination&#44; and pathogenesis of coronaviruses"
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                          "etal" => true
                          "autores" => array:6 [
                            0 => "S&#46; Su"
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                            2 => "W&#46; Shi"
                            3 => "J&#46; Liu"
                            4 => "C&#46;K&#46; Lai Alexander"
                            5 => "J&#46; Zhou"
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                          0 => array:2 [
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                      "doi" => "10.1007/s12098-020-03263-6"
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Article information

ISSN: 23870206
Original language: English

DOI:10.1016/j.medcle.2020.05.015

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