was read the article
array:24 [ "pii" => "S1807593222031556" "issn" => "18075932" "doi" => "10.1590/S1807-59322007000100009" "estado" => "S300" "fechaPublicacion" => "2007-01-01" "aid" => "3155" "copyright" => "CLINICS" "copyrightAnyo" => "2007" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2007;62:55-62" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:19 [ "pii" => "S1807593222031568" "issn" => "18075932" "doi" => "10.1590/S1807-59322007000100010" "estado" => "S300" "fechaPublicacion" => "2007-01-01" "aid" => "3156" "copyright" => "CLINICS" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2007;62:63-8" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">CLINICAL SCIENCES</span>" "titulo" => "CHANGES IN JOINT KINEMATICS IN CHILDREN WITH CEREBRAL PALSY WHILE WALKING WITH AND WITHOUT A FLOOR REACTION ANKLE–FOOT ORTHOSIS" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "pt" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "63" "paginaFinal" => "68" ] ] "contieneResumen" => array:2 [ "en" => true "pt" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1219 "Ancho" => 552 "Tamanyo" => 40959 ] ] "descripcion" => array:1 [ "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Crouch Gait: increase knee flexion during stance phase and the external flexion moment</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Paulo Roberto Garcia Lucareli, Mário de Oliveira Lima, Juliane Gomes de Almeida Lucarelli, Fernanda Púpio Silva Lima" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Paulo Roberto Garcia" "apellidos" => "Lucareli" ] 1 => array:2 [ "nombre" => "Mário de Oliveira" "apellidos" => "Lima" ] 2 => array:2 [ "nombre" => "Juliane Gomes de Almeida" "apellidos" => "Lucarelli" ] 3 => array:2 [ "nombre" => "Fernanda Púpio Silva" "apellidos" => "Lima" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222031568?idApp=UINPBA00004N" "url" => "/18075932/0000006200000001/v1_202212060743/S1807593222031568/v1_202212060743/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S1807593222031544" "issn" => "18075932" "doi" => "10.1590/S1807-59322007000100008" "estado" => "S300" "fechaPublicacion" => "2007-01-01" "aid" => "3154" "copyright" => "CLINICS" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2007;62:47-56" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">CLINICAL SCIENCES</span>" "titulo" => "DIGESTIVE TRACT MICROBIOTA IN HEALTHY VOLUNTEERS" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "pt" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "47" "paginaFinal" => "56" ] ] "contieneResumen" => array:2 [ "en" => true "pt" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 288 "Ancho" => 843 "Tamanyo" => 26956 ] ] "descripcion" => array:1 [ "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Saliva; back of the tongue; sub-gingival biofilm</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Bruno Zilberstein, Alina G Quintanilha, Manoel A A Santos, Denis Pajecki, Eduardo G Moura, Paulo Roberto Arruda Alves, Fauze Maluf Filho, João Ary Ubriaco de Souza, Joaquim Gama-Rodrigues" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Bruno" "apellidos" => "Zilberstein" ] 1 => array:2 [ "nombre" => "Alina G" "apellidos" => "Quintanilha" ] 2 => array:2 [ "nombre" => "Manoel A A" "apellidos" => "Santos" ] 3 => array:2 [ "nombre" => "Denis" "apellidos" => "Pajecki" ] 4 => array:2 [ "nombre" => "Eduardo G" "apellidos" => "Moura" ] 5 => array:2 [ "nombre" => "Paulo Roberto Arruda" "apellidos" => "Alves" ] 6 => array:2 [ "nombre" => "Fauze Maluf" "apellidos" => "Filho" ] 7 => array:2 [ "nombre" => "João Ary Ubriaco de" "apellidos" => "Souza" ] 8 => array:2 [ "nombre" => "Joaquim" "apellidos" => "Gama-Rodrigues" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222031544?idApp=UINPBA00004N" "url" => "/18075932/0000006200000001/v1_202212060743/S1807593222031544/v1_202212060743/en/main.assets" ] "en" => array:18 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">CLINICAL SCIENCES</span>" "titulo" => "UNMEASURED ANIONS ACCOUNT FOR MOST OF THE METABOLIC ACIDOSIS IN PATIENTS WITH HYPERLACTATEMIA" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "55" "paginaFinal" => "62" ] ] "autores" => array:1 [ 0 => array:3 [ "autoresLista" => "Alexandre Toledo Maciel, Marcelo Park" "autores" => array:2 [ 0 => array:3 [ "nombre" => "Alexandre Toledo" "apellidos" => "Maciel" "email" => array:1 [ 0 => "toledomaciel2003@yahoo.com.br" ] ] 1 => array:2 [ "nombre" => "Marcelo" "apellidos" => "Park" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Department of Medical Emergencies, São Paulo University Medical School - São Paulo/SP, Brazil." "identificador" => "aff1" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 843 "Ancho" => 993 "Tamanyo" => 56558 ] ] "descripcion" => array:1 [ "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Percentage of metabolic acidosis due to lactate and the strong ion gap (SIG). Metabolic acidosis was mainly due to the SIG in all groups; the percentage due to lactate was significantly lower than that due to the SIG in all groups (<span class="elsevierStyleItalic">P</span> < 0.001). Regarding ICU survivors and nonsurvivors, no difference was found in the percentage of metabolic acidosis due to lactate (<span class="elsevierStyleItalic">P</span> = 0.753) or due to the SIG (<span class="elsevierStyleItalic">P</span> = 0.871).</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="cesec10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle120">INTRODUCTION</span><p id="para10" class="elsevierStylePara elsevierViewall">Since the first definition of hyperlactatemia and lactic acidosis proposed by Huckabee in 1961,<a class="elsevierStyleCrossRef" href="#bib1"><span class="elsevierStyleSup">1</span></a> many controversies have occurred and different definitions have been proposed in order to determine and separate distinct situations that lead to an altered lactate metabolism. Initially, the terms “hyperlactatemia” or “stress hyperlactatemia” were used for situations in which no concomitant metabolic acidosis (at that time defined as low levels of serum bicarbonate) was present. Increases in serum lactate attributed to an enhanced aerobic glycolytic pathway with a normal pyruvate/lactate ratio were thought to account for the cases of hyperlactatemia without acidosis.</p><p id="para20" class="elsevierStylePara elsevierViewall">When acidemia and low levels of serum bicarbonate were also present, the term “lactic acidosis” was then used. This condition could occur in the absence or in the presence of tissue hypoperfusion, and physical exam would determine whether there were or were not signs of hemodynamic compromise and circulatory shock.</p><p id="para30" class="elsevierStylePara elsevierViewall">In 1976, Cohen and Woods<a class="elsevierStyleCrossRef" href="#bib2"><span class="elsevierStyleSup">2</span></a> abolished the term “hyperlactatemia without acidosis” and classified altered lactate metabolism into lactic acidosis types A and B, using the same previous criteria of presence or absence of tissue dysoxia.</p><p id="para40" class="elsevierStylePara elsevierViewall">More recently, the physicochemical approach to acid-base disturbances<a class="elsevierStyleCrossRef" href="#bib3"><span class="elsevierStyleSup">3</span></a> has supported the idea that there is no reason to separate “hyperlactatemia” and “lactic acidosis” since lactate, as a strong anion, is an acid itself. This modern approach has the great advantage of characterizing the different components of the complex and usually multifactorial metabolic acidosis of critically ill patients.</p><p id="para50" class="elsevierStylePara elsevierViewall">Standard base deficit (SBD) is frequently used to quantify the degree of metabolic acidosis, and it seems to be a better parameter than bicarbonate, which is highly influenced by the level of pCO<span class="elsevierStyleInf">2</span> and, therefore, by respiratory disturbances. Some authors have defined lactic acidosis as an SBD greater than 2 mEq/L with a lactate component that comprises at least 50% of the SBD.<a class="elsevierStyleCrossRef" href="#bib4"><span class="elsevierStyleSup">4</span></a></p><p id="para60" class="elsevierStylePara elsevierViewall">The aim of this study was to evaluate the SBD and its components in the presence of hyperlactatemia on admission to the intensive care unit (ICU) using the physicochemical approach and to determine to what degree hyperlactatemia was responsible for changes in the SBD. We hypothesized that in a significant number of patients with hyperlactatemia, lactate would not be the major anion responsible for metabolic acidosis and, additionally, that some patients with hyperlactatemia would not actually have metabolic acidosis (defined as an SBD ≥ 2 mEq/L). We also determined whether the percentage of the SBD due to hyperlactatemia was relevant in terms of outcome. Because lactic acidosis seems to be the metabolic acidosis with the poorest prognosis,<a class="elsevierStyleCrossRef" href="#bib4"><span class="elsevierStyleSup">4</span></a> it is possible that both the absolute levels of lactate and the degree to which lactate contributes to the final SBD are important.</p></span><span id="cesec20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle130">MATERIALS AND METHODS</span><p id="para70" class="elsevierStylePara elsevierViewall">This study was approved by the local institutional ethics committee. Since all data used here was collected in the process of routine exams performed for all patients that are admitted to our ICU, the requirement for informed written consent was waived.</p><p id="para80" class="elsevierStylePara elsevierViewall">It is the routine in our 7-bed medical ICU to collect a list of laboratory tests from all patients on admission. This list includes an arterial blood gas determination with simultaneous arterial lactate measurement, Na<span class="elsevierStyleSup">+</span>, K<span class="elsevierStyleSup">+</span>, Ca<span class="elsevierStyleSup">2+</span>, Mg<span class="elsevierStyleSup">2+</span>, Cl<span class="elsevierStyleSup">-</span>, phosphate, urea, creatinine, and albumin. From July 2005 until January 2006, all consecutive patients admitted to the ICU and their admission blood gas samples were checked prospectively for hyperlactatemia, defined as an arterial lactate ≥ 2 mEq/L. Patients transferred from or to a different ICU were excluded. In patients with hyperlactatemia, we evaluated the simultaneous arterial pH, standard base deficit (SBD), partial pressure of carbon dioxide (pCO<span class="elsevierStyleInf">2</span>), bicarbonate (HCO<span class="elsevierStyleInf">3</span><span class="elsevierStyleSup">-</span>), lactate, Na<span class="elsevierStyleSup">+</span>, K<span class="elsevierStyleSup">+</span>, Ca<span class="elsevierStyleSup">2+</span>,</p><p id="para90" class="elsevierStylePara elsevierViewall">Mg<span class="elsevierStyleSup">2+</span>, Cl<span class="elsevierStyleSup">-</span>, phosphate, albumin, and creatinine, and we calculated the 4 distinct components of SBD, the apparent strong ion difference (SIDa), the effective strong ion difference (SIDe), and the strong ion gap (SIG) (see below). Age, gender, APACHE II score, ICU mortality, and in-hospital mortality were also recorded for all patients with hyperlactatemia.</p><span id="cesec30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle140">Laboratory techniques and measurements</span><p id="para100" class="elsevierStylePara elsevierViewall">All biochemical variables were simultaneously collected at the time of admission to the ICU. All samples were analyzed in the central laboratory of the Institution. Na<span class="elsevierStyleSup">+</span>, K<span class="elsevierStyleSup">+</span>, Ca<span class="elsevierStyleSup">2+</span>, and Cl<span class="elsevierStyleSup">-</span> were measured with the use of a direct ion-selective electrode technique, Mg<span class="elsevierStyleSup">2+</span> by a colorimetric technique, and phosphate with the use of an ultraviolet technique. Albumin was measured with a bromocresol dye colorimetric technique. Arterial blood gas was analyzed and lactate was measured on the OMNI analyzer (Roche Diagnostics System, F. Hoffmann-La Roche Ltd, Basel, Switzerland).</p></span><span id="cesec40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle150">Quantitative physicochemical analysis</span><p id="para110" class="elsevierStylePara elsevierViewall">According to the contemporary approach to acid-base disturbances proposed by Stewart<a class="elsevierStyleCrossRef" href="#bib3"><span class="elsevierStyleSup">3</span></a> and then modified by Figge et al,<a class="elsevierStyleCrossRef" href="#bib5"><span class="elsevierStyleSup">5</span></a> only 3 independent variables can change the blood pH: the strong ion difference (SID), weak acids (mainly phosphate and albumin), and pCO<span class="elsevierStyleInf">2</span>. Based on the principles of electroneutrality and conservation of mass, the strong ion difference represents the net balance between positive strong ions (cations) and negative strong ions (anions) according to the following formula (all concentrations in mEq/L):</p><p id="para120" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula10"></elsevierMultimedia></p><p id="para130" class="elsevierStylePara elsevierViewall">Therefore, decreases in the strong ion difference (such as those occurring in hyperchloremia and hyperlactatemia) lead to increases in dissociation of water (to maintain electroneutrality) and a fall in the pH. The opposite happens if the strong ion difference increases. This equation, however, does not take into account the weak acids present in blood; therefore, we call this the apparent strong ion difference (SIDa). The effective strong ion difference (SIDe) is represented by the sum of the charges of the weak acids according to the following equation:</p><p id="para140" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula20"></elsevierMultimedia></p><p id="para150" class="elsevierStylePara elsevierViewall">In healthy people, no significant amounts of unmeasured anions or lactate are present in the blood. The values of apparent and effective strong ion difference are therefore very close. However, in critically ill patients, both lactate and unmeasured ions are likely to increase. Unmeasured anions, measured by the strong ion gap (SIG), represent the “gap” between apparent and effective strong ion difference as shown in the following formula:</p><p id="para160" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula30"></elsevierMultimedia></p><p id="para170" class="elsevierStylePara elsevierViewall">In summary, metabolic acidosis, according to the physicochemical theory, can only be the result of decreases in apparent strong ion difference (mainly hyperchloremia and hyperlactatemia), increases in the strong ion gap (unmeasured anions), or increases in weak acids (hyperalbuminemia, which is exceedingly rare, and hyperphosphatemia).</p><p id="para180" class="elsevierStylePara elsevierViewall">The final result of alkalinizing and acidifying disturbances present in the blood is represented by the SBD, which is the titrable acid in blood,<a class="elsevierStyleCrossRef" href="#bib6"><span class="elsevierStyleSup">6</span></a> being positive when acidifying disturbances predominate and negative when alkalinizing disturbances are more prevalent. Using a physicochemical analysis, we can separate 4 distinct components of the SBD<a class="elsevierStyleCrossRef" href="#bib7"><span class="elsevierStyleSup">7</span></a> as follows:<ul class="elsevierStyleList" id="celist10"><li class="elsevierStyleListItem" id="celistitem10"><span class="elsevierStyleLabel">•</span><p id="para190" class="elsevierStylePara elsevierViewall">standard base deficit due to free water (SBDfw), which depends on the concentration of Na<span class="elsevierStyleSup">+</span>:</p><p id="para200" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula40"></elsevierMultimedia></p></li><li class="elsevierStyleListItem" id="celistitem20"><span class="elsevierStyleLabel">•</span><p id="para210" class="elsevierStylePara elsevierViewall">standard base deficit due to chloride (SBDcl), which depends on the concentration of both Na+ and Cl<span class="elsevierStyleSup">-</span>:</p><p id="para220" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula50"></elsevierMultimedia></p></li><li class="elsevierStyleListItem" id="celistitem30"><span class="elsevierStyleLabel">•</span><p id="para230" class="elsevierStylePara elsevierViewall">standard base deficit due to albumin (SBDalb), which depends on the arterial pH and the concentration of serum albumin:</p><p id="para240" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula60"></elsevierMultimedia></p></li><li class="elsevierStyleListItem" id="celistitem40"><span class="elsevierStyleLabel">•</span><p id="para250" class="elsevierStylePara elsevierViewall">standard base deficit due to lactate and unmeasured anions (SBDua), which corresponds to the rest of the SBD: SBDua = SBD – (SBDfw + SBDcl + SBDalb)</p></li></ul></p><p id="para260" class="elsevierStylePara elsevierViewall">Although there is no consensus about a precise value of the SBD that represents significant metabolic acidosis, we decided to use an arbitrary value of 2 mEq/L, since hypoalbuminemia is an almost universal finding in critically ill patients, contributing a mean value of -5 mEq/L in the final SBD in a recent study.<a class="elsevierStyleCrossRef" href="#bib8"><span class="elsevierStyleSup">8</span></a> Therefore, even a small positive SBD value, such as 2 mEq/L, could be the consequence of a significant acidifying disturbance.</p><p id="para270" class="elsevierStylePara elsevierViewall">To calculate the percentage of metabolic acidosis due to hyperlactatemia, we considered the total acidifying elements (SBD acid) as the following (all concentrations in mEq/L):</p><p id="para280" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula70"></elsevierMultimedia></p><p id="para290" class="elsevierStylePara elsevierViewall">We did not use the SBDua in the formula, since it does not discriminate between lactate and unmeasured anions; we preferred to use the strong ion gap,<a class="elsevierStyleCrossRef" href="#bib9"><span class="elsevierStyleSup">9</span></a> as the equivalent of the unmeasured anions, and lactate, separately. Since hypoalbuminemia is almost invariably present in critically ill patients, SBDalb was not included in the formula (it almost always has an alkalinizing effect). SBDfw and SBDcl were only included in the formula when their sum was positive, ie, when they had an acidifying effect.</p><p id="para300" class="elsevierStylePara elsevierViewall">The percentage of metabolic acidosis due to lactate (% lactate) and due to the SIG (%SIG) were then determined by the following relationships:</p><p id="para310" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula80"></elsevierMultimedia></p><p id="para320" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="formula90"></elsevierMultimedia></p><p id="para330" class="elsevierStylePara elsevierViewall">The rest of the metabolic acidosis (not due to lactate or the SIG) was attributed mainly to hyperchloremia.</p></span><span id="cesec50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle160">Statistical analysis</span><p id="para340" class="elsevierStylePara elsevierViewall">All values were expressed as mean and standard deviation except for 2 variables (Ca<span class="elsevierStyleSup">2+</span> and creatinine), which required a logarithmic transformation in order to acquire a normal distribution. Their values were expressed as geometric means. The Student t test was used for comparison of continuous parameters, and Pearson’s test was used for the correlation analysis. The software SigmaStat for Windows (version 2.0, Copyrightã Jandel Corporation) and SPSS for Windows (version 10.0.1, Copyrightã SPSS Incorporation) were used for all measurements. A P value less than 0.05 was considered significant.</p></span></span><span id="cesec60" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle170">RESULTS</span><p id="para350" class="elsevierStylePara elsevierViewall">During the study period, 159 patients were admitted into our ICU, and 152 patients were included in the study; 7 patients were excluded because they came from another ICU or were transferred to another ICU before discharge. Of the 152 patients, we found lactate ≥ 2 mEq/L in 58 patients (38.2%) at admission. The general characteristics of this group of patients are shown in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>. Using the physicochemical approach to analyze the different components of the acid-base disturbances present in these patients (<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>), we verified that they usually exhibited a mild acidemia (pH 7.31 ± 0.12) and a significant metabolic acidosis (SBD 7.6 ± 6.7 mEq/L). This metabolic acidosis was due to both hyperlactatemia (lactate 4.3 ± 2.3 mEq/L) and hyperchloremia (chloride 107 ± 10 mEq/L), both of which contributed to a decreased apparent strong ion difference (36.3 ± 6.5 mEq/L), and to an increased strong ion gap (8.6 ± 5.0 mEq/L). Serum levels of Na<span class="elsevierStyleSup">+</span>, K<span class="elsevierStyleSup">+</span>, Ca<span class="elsevierStyleSup">2+</span>, Mg<span class="elsevierStyleSup">2+</span>, and phosphate were normal, and low levels of serum albumin (26 ± 8 g/L) attenuated the level of metabolic acidemia. Creatinine was already increased at admission (1.4 ± 2.4 mg/dL). Lactate was 23.3% ± 11.2% of the SBD acid, and the SIG was 45.1% ± 23.9% (<span class="elsevierStyleItalic">P</span> < 0.001) (<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>). A significant correlation was found between SBD and lactate (<span class="elsevierStyleItalic">r</span> = 0.322, <span class="elsevierStyleItalic">P</span> = 0.01).</p><elsevierMultimedia ident="tbl1"></elsevierMultimedia><elsevierMultimedia ident="tbl2"></elsevierMultimedia><elsevierMultimedia ident="fig1"></elsevierMultimedia><p id="para360" class="elsevierStylePara elsevierViewall">We divided the patients grouping into ICU survivors and nonsurvivors, and we then evaluated the same variables described above (<a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>). Both groups were usually acidemic on admission, but nonsurvivors had a tendency to be more acidemic (pH 7.33 ± 0.10 vs 7.26 ± 0.15, <span class="elsevierStyleItalic">P</span> = 0.05). Metabolic acidosis was more severe in nonsurvivors (SBD 11.7 ± 7.3 mEq/L vs 6.1 ± 5.8 mEq/L in survivors, <span class="elsevierStyleItalic">P</span>< 0.01). The same acidifying variables—hyperlactatemia, hyperchloremia, and increased strong ion gap—contributed to metabolic acidosis in both groups. Of these, only lactate was significantly higher in nonsurvivors (3.8 ± 1.8 vs 5.8 ± 2.9 mEq/L, <span class="elsevierStyleItalic">P</span> < 0.01). However, as occurred in the analysis of all patients with hyperlactatemia (<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>), both survivors and nonsurvivors had a minority of their metabolic acidosis due to lactate. Lactate comprised 23.0% ± 11.8% of the SBD acid in survivors and 24.2% ± 9.7% in nonsurvivors (<span class="elsevierStyleItalic">P</span> = 0.753). The SIG comprised 44.7% ± 26.0% of the SBD acid in survivors and 46.0% ± 17.5% in nonsurvivors (<span class="elsevierStyleItalic">P</span> = 0.871). The percentage of SBD acid due to the strong ion gap was significantly greater than the percentage due to lactate in both survivors and nonsurvivors (<span class="elsevierStyleItalic">P</span> < 0.001 for both groups) (<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>). All electrolytes were similar in both groups, as was creatinine. Hypoalbuminemia was present in both groups but was greater in nonsurvivors (2.1 ± 0.5 g/dL) than in survivors (2.8 ± 0.8 g/dL) (<span class="elsevierStyleItalic">P</span> < 0.01). Correlation between SBD and lactate was absent in survivors (<span class="elsevierStyleItalic">r</span> = -0.125, <span class="elsevierStyleItalic">P</span> = 0.430) and present in nonsurvivors (<span class="elsevierStyleItalic">r</span> = 0.662, <span class="elsevierStyleItalic">P</span> < 0.01).</p><elsevierMultimedia ident="tbl3"></elsevierMultimedia><p id="para370" class="elsevierStylePara elsevierViewall">Eight of the 58 patients with hyperlactatemia (13.8%) did not have metabolic acidosis (ie, an SBD > 2 mEq/L). Only 1 died in the ICU. Of the 58 patients with hyperlactatemia, 7 (12.1%) had lactate levels greater than the strong ion gap on admission. All survived until discharge from ICU.</p></span><span id="cesec70" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle180">DISCUSSION</span><p id="para380" class="elsevierStylePara elsevierViewall">Hyperlactatemia is a well established marker of poor outcome in critically ill patients.<a class="elsevierStyleCrossRefs" href="#bib10"><span class="elsevierStyleSup">10–13</span></a> However, interpretation of high levels of lactate is a challenge to intensivists, since its etiology and pathophysiology is not always clear. Until recently, it was common to use the terms “hyperlactatemia” and “lactic acidosis” interchangeably and as synonyms of “tissue hypoperfusion;” however, this is not always the case.<a class="elsevierStyleCrossRef" href="#bib14"><span class="elsevierStyleSup">14</span></a> Although we have shown in our study that patients with hyperlactatemia usually presented with metabolic acidemia, and that at admission, both lactate and the SBD were significantly different between ICU survivors and nonsurvivors, lactate was not primarily responsible for the acidemia; it was rather, the unmeasured anions that were primarily responsible. The etiology and pathophysiology of increased levels of unmeasured anions is even more obscure than that of hyperlactatemia. They are thought to increase in many distinct situations such as renal and hepatic impairment,<a class="elsevierStyleCrossRef" href="#bib15"><span class="elsevierStyleSup">15</span></a> tissue hypoperfusion,<a class="elsevierStyleCrossRef" href="#bib16"><span class="elsevierStyleSup">16</span></a> and endotoxemia.<a class="elsevierStyleCrossRef" href="#bib17"><span class="elsevierStyleSup">17</span></a></p><p id="para390" class="elsevierStylePara elsevierViewall">Controversy exists regarding the relevance that unmeasured anions have in the outcome of critically ill patients.<a class="elsevierStyleCrossRefs" href="#bib18"><span class="elsevierStyleSup">18–20</span></a> In our study, the strong ion gap was not different between survivors and nonsurvivors at admission, but this could have been due to the small sample size. In a larger study, Cusack et al<a class="elsevierStyleCrossRef" href="#bib18"><span class="elsevierStyleSup">18</span></a> also failed to find a significant difference in the strong ion gap between survivors and nonsurvivors. Similarly to our study, they found a relevant difference in the SBDua between survivors and nonsurvivors. Although both the strong ion gap and SBDua are variables used to quantify unmeasured anions, SBDua includes lactate and the strong ion gap does not. This could explain the fact that in both studies, SBDua was different in survivors vs nonsurvivors, while the strong ion gap was not. Kellum suggested that the use of gelatins as resuscitation fluids may interfere in the prognostic relevance of unmeasured anions.<a class="elsevierStyleCrossRef" href="#bib21"><span class="elsevierStyleSup">21</span></a> Neither do our ICU, or our Emergency Department use this type of colloid; rather, we use crystalloids in the resuscitation of our patients and only rarely colloids.</p><p id="para400" class="elsevierStylePara elsevierViewall">We found unmeasured anions to be the most important acidifying variable in patients with hyperlactatemia, even greater than lactate itself. If we use the definition of lactic acidosis proposed by Gunnerson et al<a class="elsevierStyleCrossRef" href="#bib4"><span class="elsevierStyleSup">4</span></a> (lactate accounting for more than 50% of the metabolic acidosis), most of patients with hyperlactatemia actually did not have lactic acidosis. Although these authors found lactate to be primarily responsible for metabolic acidosis in more patients than were unmeasured anions, they selected only patients with suspected lactic acidosis with an SBD higher than 2 mEq/L. We found 13.8% of the patients with hyperlactatemia to have an SBD lower than 2 mEq/L. Additionally, in their study, not all values were collected at the same time on the day of admission, and they studied a distinct population. This could explain at least in part the differences between their findings and ours.</p><p id="para410" class="elsevierStylePara elsevierViewall">Most studies in critically ill patients have found a poor correlation between the SBD and lactate.<a class="elsevierStyleCrossRefs" href="#bib22"><span class="elsevierStyleSup">22–24</span></a> This could be explained by the fact that lactate only represents a small percentage of the SBD in most patients, in agreement with the finding of our study. On the other hand, we found that although the percentage of metabolic acidosis due to lactate was similar between survivors and nonsurvivors with hyperlactatemia, a significant correlation between lactate and the SBD was only present in nonsurvivors. The most feasible explanation would be that nonsurvivors had higher levels of lactate, which could have resulted in a correlation between the two variables. However, we had previously found a correlation between lactate and the SBD only in ICU nonsurvivors even when comparing groups with similar levels of lactate.<a class="elsevierStyleCrossRef" href="#bib25"><span class="elsevierStyleSup">25</span></a> According to the theory of unreversed ATP hydrolysis proposed by Zilva,<a class="elsevierStyleCrossRef" href="#bib26"><span class="elsevierStyleSup">26</span></a> hyperlactatemia in anaerobic conditions is followed by metabolic acidosis due to the accumulation of protons that were produced in the glycolytic pathway but not used in the oxidative metabolism. At that time, lactate was not considered an acid. However, if the Zilva theory is true, depending on the origin of hyperlactatemia (aerobic or anaerobic), the same level of lactate could lead to distinctly different degrees of metabolic acidosis. It is probable that in the group of ICU nonsurvivors, more patients had hyperlactatemia due to tissue hypoperfusion and anaerobiosis. This could lead to the presence of a significant correlation between lactate and the SBD in only this group of patients.</p><p id="para420" class="elsevierStylePara elsevierViewall">Our study had some limitations. Since we used only a specific group of critically ill patients (those presenting hyperlactatemia at admission to the ICU) during a short observation period, our sample size was small; some absence of difference between groups could be due to this fact. We also had a heterogenous population of critically ill patients, so it is not easy to arrive at conclusions regarding any specific group of patients, such as for instance septic patients.</p><p id="para430" class="elsevierStylePara elsevierViewall">Although largely used to define metabolic acidosis, the SBD is the sum of both acidifying and alkalinizing variables. Therefore, normal values for the SBD may result when significant acidifying disturbances including hyperlactatemia occur concomitantly with significant alkalinizing disturbances such as hypoalbuminemia. We found a small proportion of patients with hyperlactatemia having normal or even low values for the SBD, and we used the term “hyperlactatemia without acidosis” for these patients, but this may not be appropriate or may even be paradoxical.</p><p id="para440" class="elsevierStylePara elsevierViewall">The fact is that current literature does not have very precise and accurate definitions for “metabolic acidosis” and “lactic acidosis.” A large variability between definitions makes the comparison between studies very difficult. Gunnerson et al<a class="elsevierStyleCrossRef" href="#bib4"><span class="elsevierStyleSup">4</span></a> defined “lactic acidosis” as lactate accounting for more than 50% of the SBD. However, they did not clearly define how they calculated this percentage. Since, as we have already noted, the SBD includes alkalinizing variables, it would be more appropriate to calculate this percentage by selecting only the acidifying variables (the SBD acid in our study). The use of the total SBD may overestimate the percentage of acidosis due to lactate.</p><p id="para450" class="elsevierStylePara elsevierViewall">Finally, all the data in this study were limited to the day of admission. Evolutive changes in lactate and the SBD are certainly very important in the outcome of these patients. However, the aim of this study was to check for the prevalence of anions other than lactate on admission of patients with hyperlactatemia and not to evaluate the evolution of these anions during ICU stay. Our findings show that although very relevant in terms of prognosis, lactate is only the tip of a much larger iceberg predominantly comprised of unmeasured anions.</p></span><span id="cesec80" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle190">COMPETING INTERESTS</span><p id="para460" class="elsevierStylePara elsevierViewall">The authors declare that they have no competing interests.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:9 [ 0 => array:2 [ "identificador" => "xpalclavsec1584845" "titulo" => "KEYWORDS" ] 1 => array:3 [ "identificador" => "xres1815194" "titulo" => "RESUMO" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs50" "titulo" => "OBJETIVO:" ] 1 => array:2 [ "identificador" => "ceabs60" "titulo" => "MÉTODOS:" ] 2 => array:2 [ "identificador" => "ceabs70" "titulo" => "RESULTADOS:" ] 3 => array:2 [ "identificador" => "ceabs80" "titulo" => "DISCUSSÃO:" ] ] ] 2 => array:2 [ "identificador" => "xpalclavsec1584846" "titulo" => "UNITERMOS:" ] 3 => array:2 [ "identificador" => "cesec10" "titulo" => "INTRODUCTION" ] 4 => array:3 [ "identificador" => "cesec20" "titulo" => "MATERIALS AND METHODS" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "cesec30" "titulo" => "Laboratory techniques and measurements" ] 1 => array:2 [ "identificador" => "cesec40" "titulo" => "Quantitative physicochemical analysis" ] 2 => array:2 [ "identificador" => "cesec50" "titulo" => "Statistical analysis" ] ] ] 5 => array:2 [ "identificador" => "cesec60" "titulo" => "RESULTS" ] 6 => array:2 [ "identificador" => "cesec70" "titulo" => "DISCUSSION" ] 7 => array:2 [ "identificador" => "cesec80" "titulo" => "COMPETING INTERESTS" ] 8 => array:1 [ "titulo" => "REFERENCES" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2006-07-24" "fechaAceptado" => "2006-10-09" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "KEYWORDS" "identificador" => "xpalclavsec1584845" "palabras" => array:5 [ 0 => "Hyperlactatemia" 1 => "Lactic acidosis" 2 => "Unmeasured anions" 3 => "Outcome" 4 => "Critically ill patients" ] ] ] "pt" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "UNITERMOS:" "identificador" => "xpalclavsec1584846" "palabras" => array:5 [ 0 => "Hiperlactatemia" 1 => "Acidose láctica" 2 => "Ânions não mensuráveis" 3 => "Prognóstico" 4 => "Pacientes críticos" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "resumen" => "<span id="ceabs10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle10">PURPOSE:</span><p id="spara50" class="elsevierStyleSimplePara elsevierViewall">To characterize the different components of metabolic acidosis in patients with hyperlactatemia in order to determine the degree to which lactate is responsible for the acidosis and the relevance that this might have in the outcome of these patients.</p></span> <span id="ceabs20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle20">METHODS:</span><p id="spara60" class="elsevierStyleSimplePara elsevierViewall">Arterial blood gas, arterial lactate, Na<span class="elsevierStyleSup">+</span>, K<span class="elsevierStyleSup">+</span>, Ca<span class="elsevierStyleSup">2+</span>, Mg<span class="elsevierStyleSup">2+</span>, Cl<span class="elsevierStyleSup">-</span>, phosphate, albumin, and creatinine were measured on admission to make a diagnosis of the acid-base disturbances present. Intensive Care Unit and in-hospital mortality were also recorded.</p></span> <span id="ceabs30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle30">RESULTS:</span><p id="spara70" class="elsevierStyleSimplePara elsevierViewall">A total of 58 patients with hyperlactatemia were included. They usually had a mild acidemia (pH 7.31 ± 0.12) and a significantly high Standard Base Deficit (7.6 ± 6.7 mEq/L). In addition to lactate (4.3 ± 2.3 mEq/L), chloride (106.9 ± 9.5 mEq/L) and unmeasured anions (8.6 ± 5.0 mEq/L) accounted for the metabolic acidosis. Unmeasured anions were primarily responsible for the acidosis in both Intensive Care Unit survivors and nonsurvivors (44.7% ± 26.0% and 46.0% ± 17.5%, respectively, <span class="elsevierStyleItalic">P</span> = 0.871). Lactate contributed in similar percentages to the acidosis in both groups (23.0% ± 11.8% and 24.2% ± 9.7% in Intensive Care Unit survivors and nonsurvivors, respectively; <span class="elsevierStyleItalic">P</span> = 0.753). Correlation between Standard Base Deficit and lactate was found only in Intensive Care Unit nonsurvivors (<span class="elsevierStyleItalic">r</span> = 0.662, <span class="elsevierStyleItalic">P</span> < 0.01).</p></span> <span id="ceabs40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle40">DISCUSSION:</span><p id="spara80" class="elsevierStyleSimplePara elsevierViewall">Hyperlactatemia is usually accompanied by metabolic acidemia, but lactate is responsible for a minor percentage of the acidosis; unmeasured anions account for most of the acidosis in patients with hyperlactatemia. The percentage of the acidosis due to hyperlactatemia was not relevant in terms of outcome.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs10" "titulo" => "PURPOSE:" ] 1 => array:2 [ "identificador" => "ceabs20" "titulo" => "METHODS:" ] 2 => array:2 [ "identificador" => "ceabs30" "titulo" => "RESULTS:" ] 3 => array:2 [ "identificador" => "ceabs40" "titulo" => "DISCUSSION:" ] ] ] "pt" => array:3 [ "titulo" => "RESUMO" "resumen" => "<span id="ceabs50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle60">OBJETIVO:</span><p id="spara90" class="elsevierStyleSimplePara elsevierViewall">Caracterizar os diferentes componentes da acidose metabólica de pacientes com hiperlactatemia de modo a verificar o quanto o lactato é responsável pela acidose e a relevância que isso possa ter no prognóstico desses pacientes.</p></span> <span id="ceabs60" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle70">MÉTODOS:</span><p id="spara100" class="elsevierStyleSimplePara elsevierViewall">Gasometria arterial com dosagem de lactato, Na<span class="elsevierStyleSup">+</span>, K<span class="elsevierStyleSup">+</span>, Ca<span class="elsevierStyleSup">2+</span>, Mg<span class="elsevierStyleSup">2+</span>, Cl<span class="elsevierStyleSup">-</span>, fosfato, albumina e creatinina séricas foram coletados no momento da admissão para fazer o diagnóstico dos possíveis distúrbios ácido-básicos presentes. Mortalidade na UTI e mortalidade hospitalar foram avaliadas.</p></span> <span id="ceabs70" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle80">RESULTADOS:</span><p id="spara110" class="elsevierStyleSimplePara elsevierViewall">Um total de 58 pacientes com hiperlactatemia foram incluídos. Eles tinham na média uma acidemia leve (pH 7.31 ± 0.12) e o déficit de base significativamente elevado (7.6 ± 6.7 mEq/L). Além do lactato (4.3 ± 2.3 mEq/L), o cloro (106.9 ± 9.5 mEq/L) e os ânions não mensuráveis (8.6 ± 5.0 mEq/L) contribuíram para a acidose metabólica. Os ânions não mensuráveis foram responsáveis pela maior parcela da acidose tanto nos pacientes que tiveram alta da UTI como nos que faleceram (44.7 ± 26.0 % e 46.0 ± 17.5 %, respectivamente, p= 0.871). O lactato contribuiu em percentagens semelhantes para a acidose em ambos os grupos (23.0 ± 11.8 % nos sobreviventes e 24.2 ± 9.7 % nos óbitos, p= 0.753). Correlação entre o déficit de base e o lactato somente foi encontrada nos óbitos (r = 0.662, p < 0.01).</p></span> <span id="ceabs80" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle90">DISCUSSÃO:</span><p id="spara120" class="elsevierStyleSimplePara elsevierViewall">Hiperlactatemia é comumente acompanhada de acidemia metabólica, porém o lactato corresponde a uma parcela minoritária da acidose; ânions não mensuráveis contribuem com a maior parte da carga ácida em pacientes hiperlactatêmicos. O percentual da acidose devido à hiperlactatemia não foi relevante em termos de prognóstico.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs50" "titulo" => "OBJETIVO:" ] 1 => array:2 [ "identificador" => "ceabs60" "titulo" => "MÉTODOS:" ] 2 => array:2 [ "identificador" => "ceabs70" "titulo" => "RESULTADOS:" ] 3 => array:2 [ "identificador" => "ceabs80" "titulo" => "DISCUSSÃO:" ] ] ] ] "multimedia" => array:13 [ 0 => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 843 "Ancho" => 993 "Tamanyo" => 56558 ] ] "descripcion" => array:1 [ "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Percentage of metabolic acidosis due to lactate and the strong ion gap (SIG). Metabolic acidosis was mainly due to the SIG in all groups; the percentage due to lactate was significantly lower than that due to the SIG in all groups (<span class="elsevierStyleItalic">P</span> < 0.001). Regarding ICU survivors and nonsurvivors, no difference was found in the percentage of metabolic acidosis due to lactate (<span class="elsevierStyleItalic">P</span> = 0.753) or due to the SIG (<span class="elsevierStyleItalic">P</span> = 0.871).</p>" ] ] 1 => array:7 [ "identificador" => "tbl1" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "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">Characteristic \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Value (n = 58) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age – years (mean ± SD) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54 ± 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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender - male/female – no. (%)<a class="elsevierStyleCrossRef" href="#tbl1fn1">*</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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 (52) / 28 (48) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">APACHE II score<a class="elsevierStyleCrossRef" href="#tbl1fn2"><span class="elsevierStyleSup">a</span></a> (mean ± SD) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 ± 8 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ICU<a class="elsevierStyleCrossRef" href="#tbl1fn3"><span class="elsevierStyleSup">b</span></a> mortality – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (28) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hospital mortality – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (43) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diagnosis \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="" 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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Severe sepsis / septic shock – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (33) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Post-operative – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (21) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Respiratory failure – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Trauma – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (9) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Neurologic syndromes<a class="elsevierStyleCrossRef" href="#tbl1fn4"><span class="elsevierStyleSup">c</span></a> – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (7) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Pancreatitis – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (3) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cardiogenic shock – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (2) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Other – no. (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (7) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:4 [ 0 => array:3 [ "identificador" => "tbl1fn1" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="cenpara10">no. = the number of patients with the characteristic.</p>" ] 1 => array:3 [ "identificador" => "tbl1fn2" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="cenpara20">APACHE II = the acute physiologic and chronic health evaluation score, which ranges from 0 to 72.</p>" ] 2 => array:3 [ "identificador" => "tbl1fn3" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="cenpara30">ICU = intensive care unit.</p>" ] 3 => array:3 [ "identificador" => "tbl1fn4" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="cenpara40">neurologic syndromes including stroke and meningoencephalitis</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">General characteristics of the 58 patients with hyperlactatemia (lactate ≥ 2 mEq/L)</p>" ] ] 2 => array:7 [ "identificador" => "tbl2" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "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">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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Value (n = 58) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">pH \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.31 ± 0.12 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">pCO<span class="elsevierStyleInf">2</span> - mm Hg \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.6 ± 14.3 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HCO<span class="elsevierStyleInf">3</span><span class="elsevierStyleSup">-</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.7 ± 6.2 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<a class="elsevierStyleCrossRef" href="#tbl2fn1">*</a> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.6 ± 6.7 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Lactate - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.3 ± 2.3 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Na<span class="elsevierStyleSup">+</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">140 ± 7 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">K<span class="elsevierStyleSup">+</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.3 ± 0.9 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Ca<span class="elsevierStyleSup">2+</span><a class="elsevierStyleCrossRef" href="#tbl2fn2"><span class="elsevierStyleSup">a</span></a> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.3 ± 1.2 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mg<span class="elsevierStyleSup">2+</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.0 ± 0.3 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cl<span class="elsevierStyleSup">-</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">107 ± 10 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Phosphate - mmol/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.4 ± 0.5 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Albumin - 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26 ± 8 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SID<span class="elsevierStyleInf">a</span><a class="elsevierStyleCrossRef" href="#tbl2fn3"><span class="elsevierStyleSup">b</span></a> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.3 ± 6.5 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SID<span class="elsevierStyleInf">e</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.2 ± 6.4 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIG<a class="elsevierStyleCrossRef" href="#tbl2fn4"><span class="elsevierStyleSup">c</span></a> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8.6 ± 5.0 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Creatinine<a class="elsevierStyleCrossRef" href="#tbl2fn2"><span class="elsevierStyleSup">a</span></a> - mg/dL \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.4 ± 2.4 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">fw</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0 ± 2.0 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">Cl</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.8 ± 6.7 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">alb</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-5.0 ± 2.2 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">ua</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.4 ± 5.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:4 [ 0 => array:3 [ "identificador" => "tbl2fn1" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="cenpara50">SBD = standard base deficit, the respective following abbreviations; denote: FW - free water portion of SBD, Cl - chloride portion of SBD, alb - albumin portion of SBD and ua - unmeasured anions portion of SBD;</p>" ] 1 => array:3 [ "identificador" => "tbl2fn2" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="cenpara60">geometric mean and standard deviation;</p>" ] 2 => array:3 [ "identificador" => "tbl2fn3" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="cenpara70">SID = strong ion difference, and the abbreviations denote: a - apparent SID and e - effective SID;</p>" ] 3 => array:3 [ "identificador" => "tbl2fn4" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="cenpara80">SIG denotes strong ion gap</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara30" class="elsevierStyleSimplePara elsevierViewall">Biochemical variables of the 58 patients with hyperlactatemia (lactate ≥ 2 mEq/L) (mean ± SD)</p>" ] ] 3 => array:7 [ "identificador" => "tbl3" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "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">Characteristic \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Survivors(n = 42) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Nonsurvivors(n = 16) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"><span class="elsevierStyleItalic">P</span> 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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age - years \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55 ± 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 " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54 ± 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 " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.90 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">APACHE II \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.01 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">pH \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.33 ± 0.10 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.26 ± 0.15 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.05 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">pCO<span class="elsevierStyleInf">2</span> - mm Hg \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.4 ± 14.8 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31.0 ± 12.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.13 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HCO<span class="elsevierStyleInf">3</span><span class="elsevierStyleSup">-</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.1 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14.1 ± 6.1 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.01 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.1 ± 5.8 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.7 ± 7.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.01 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Lactate - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.8 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.8 ± 2.9 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.01 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Na<span class="elsevierStyleSup">+</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">140 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">141 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.43 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">K<span class="elsevierStyleSup">+</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.2 ± 0.9 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.3 ± 1.0 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.79 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Ca<span class="elsevierStyleSup">2+</span><a class="elsevierStyleCrossRef" href="#tbl3fn2"><span class="elsevierStyleSup">a</span></a> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.3 ± 1.1 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.4 ± 1.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.48 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mg<span class="elsevierStyleSup">2+</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.0 ± 0.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.0 ± 0.2 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.64 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cl<span class="elsevierStyleSup">-</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">106 ± 9 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">108 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.39 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">phosphate - mmol/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.3 ± 0.5 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.5 ± 0.7 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.28 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Albumin - 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 ± 9 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.01 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SID<span class="elsevierStyleInf">a</span><a class="elsevierStyleCrossRef" href="#tbl3fn3"><span class="elsevierStyleSup">b</span></a>- mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.3 ± 6.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33.9 ± 6.6 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.09 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIDe - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29.0 ± 5.9 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22.2 ± 4.9 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.001 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIG<a class="elsevierStyleCrossRef" href="#tbl3fn4"><span class="elsevierStyleSup">c</span></a> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.9 ± 5.1 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.5 ± 4.0 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.11 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Creatinine<a class="elsevierStyleCrossRef" href="#tbl3fn2"><span class="elsevierStyleSup">a</span></a> - mg/dL \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.4 ± 2.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.7 ± 2.5 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.45 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">FW</span><a class="elsevierStyleCrossRef" href="#tbl3fn1">*</a> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1 ± 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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.3 ± 2.4 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.43 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">Cl</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.2 ± 6.7 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.2 ± 6.7 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.32 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">alb</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-4.6 ± 2.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-6.2 ± 1.4 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBD<span class="elsevierStyleInf">ua</span> - mEq/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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.3 ± 5.3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.7 ± 6.5 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:4 [ 0 => array:3 [ "identificador" => "tbl3fn1" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="cenpara90">SBD = standard base deficit, the respective following abbreviations denote: FW - free water portion of SBD, Cl - chloride portion of SBD, alb - albumin portion of SBD and ua - unmeasured anions portion of SBD;</p>" ] 1 => array:3 [ "identificador" => "tbl3fn2" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="cenpara100">geometric mean and standard deviation</p>" ] 2 => array:3 [ "identificador" => "tbl3fn3" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="cenpara110">SID = strong ion difference, and the abbreviations denote: a - apparent SID and e - effective SID;</p>" ] 3 => array:3 [ "identificador" => "tbl3fn4" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="cenpara120">SIG = strong ion gap</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara40" class="elsevierStyleSimplePara elsevierViewall">Comparison between survivors and nonsurvivors (mean ± SD)</p>" ] ] 4 => array:5 [ "identificador" => "formula10" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "SID = (Na<span class="elsevierStyleSup">+</span> + K<span class="elsevierStyleSup">+</span> + Ca<span class="elsevierStyleSup">2+</span> + Mg<span class="elsevierStyleSup">2+</span>) – (Cl<span class="elsevierStyleSup">-</span> + lactate<span class="elsevierStyleSup">-</span>)" ] ] 5 => array:5 [ "identificador" => "formula20" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "SIDe = [(2.46 x 10<span class="elsevierStyleSup">-8</span>)*(pCO<span class="elsevierStyleInf">2</span> (mm Hg)/(10<span class="elsevierStyleSup">-pH</span>))] + [(albumin (g/L) * (0.123 x pH – 0.631)] + [(phosphate (mmol/L)) * (0.309 x pH – 0.469)]" ] ] 6 => array:5 [ "identificador" => "formula30" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "SIG = SIDa – SIDe" ] ] 7 => array:5 [ "identificador" => "formula40" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "SBDfw = 0.3 x (140 – Na<span class="elsevierStyleSup">+</span> (mEq/L))" ] ] 8 => array:5 [ "identificador" => "formula50" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "SBDcl = (Cl<span class="elsevierStyleSup">+</span> (mEq/L) x (140/Na<span class="elsevierStyleSup">+</span> (mEq/L)) – 102" ] ] 9 => array:5 [ "identificador" => "formula60" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "SBDalb = ((0.148 x pH) – 0.818) x (albumin (g/L) – 45)" ] ] 10 => array:5 [ "identificador" => "formula70" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "SBD acid = [lactate] + SBDfw + SBDcl + SIG" ] ] 11 => array:5 [ "identificador" => "formula80" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "%lactate = lactate / SBD acid" ] ] 12 => array:5 [ "identificador" => "formula90" "tipo" => "MULTIMEDIAFORMULA" "mostrarFloat" => false "mostrarDisplay" => true "Formula" => array:1 [ "Quimica" => "%SIG = SIG / SBD acid" ] ] ] "bibliografia" => array:2 [ "titulo" => "REFERENCES" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec10" "bibliografiaReferencia" => array:26 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Abnormal resting blood lactate: I. The significance of hyperlactatemia in hospitalized patients" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ WE Huckabee \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Am J Med." "fecha" => "1961" "volumen" => "30" "paginaInicial" => "833" "paginaFinal" => "839" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib2" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:1 [ "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => """ RD Cohen \n \t\t\t\t\t\t\t\t """ 1 => """ HF Woods \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:4 [ "titulo" => "Clinical and biochemical aspects of lactic acidosis" "fecha" => "1976" "editorial" => "Blackwell Scientific Publications" "editorialLocalizacion" => "Boston" ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib3" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Modern quantitative acid-base chemistry" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ P Stewart \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1139/y83-207" "Revista" => array:6 [ "tituloSerie" => "Can J Physiol Pharmacol." "fecha" => "1983" "volumen" => "61" "paginaInicial" => "1444" "paginaFinal" => "1461" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/6423247" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib4" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Lactate versus non-lactate metabolic acidosis: a retrospective outcome evaluation of critically ill patients" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ KJ Gunnerson \n \t\t\t\t\t\t\t\t """ 1 => """ M Saul \n \t\t\t\t\t\t\t\t """ 2 => """ S He \n \t\t\t\t\t\t\t\t """ 3 => """ JA Kellum \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/cc3987" "Revista" => array:5 [ "tituloSerie" => "Critical Care." "fecha" => "2006" "volumen" => "10" "paginaInicial" => "R22" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/16507145" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib5" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The role of serum proteins in acid-base equilibria" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => """ J Figge \n \t\t\t\t\t\t\t\t """ 1 => """ TH Rossing \n \t\t\t\t\t\t\t\t """ 2 => """ V Fencl \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "J Lab Clin Med." "fecha" => "1991" "volumen" => "117" "paginaInicial" => "453" "paginaFinal" => "467" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/2045713" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib6" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:1 [ "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ O Siggaard-Andersen \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:5 [ "edicion" => "4<span class="elsevierStyleSup">th</span> ed" "titulo" => "The acid-base status of the blood" "fecha" => "1974" "editorial" => "Munksgaard" "editorialLocalizacion" => "Copenhagen" ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib7" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A physical chemical approach to the analysis of acid-base balance in the clinical setting" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => """ BM Gilfix \n \t\t\t\t\t\t\t\t """ 1 => """ M Bique \n \t\t\t\t\t\t\t\t """ 2 => """ S Magder \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/0883-9441(93)90001-2" "Revista" => array:6 [ "tituloSerie" => "Journal of Critical Care." "fecha" => "1993" "volumen" => "8" "paginaInicial" => "187" "paginaFinal" => "197" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/8305955" "web" => "Medline" ] ] ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib8" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Changes of serum chloride and metabolic acid-base state in critical illness" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => """ GC Funk \n \t\t\t\t\t\t\t\t """ 1 => """ D Doberer \n \t\t\t\t\t\t\t\t """ 2 => """ G Heinze \n \t\t\t\t\t\t\t\t """ 3 => """ C Madl \n \t\t\t\t\t\t\t\t """ 4 => """ U Holzinger \n \t\t\t\t\t\t\t\t """ 5 => """ B Schneeweiss \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1111/j.1365-2044.2004.03901.x" "Revista" => array:6 [ "tituloSerie" => "Anaesthesia." "fecha" => "2004" "volumen" => "59" "paginaInicial" => "1111" "paginaFinal" => "1115" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15479321" "web" => "Medline" ] ] ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib9" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Determinants of blood pH in health and disease" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ JA Kellum \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/cc644" "Revista" => array:6 [ "tituloSerie" => "Critical Care." "fecha" => "2000" "volumen" => "4" "paginaInicial" => "6" "paginaFinal" => "14" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11094491" "web" => "Medline" ] ] ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib10" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Base excess and lactate as prognostic indicators for patients admitted to intensive care" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => """ I Smith \n \t\t\t\t\t\t\t\t """ 1 => """ P Kumar \n \t\t\t\t\t\t\t\t """ 2 => """ S Molloy \n \t\t\t\t\t\t\t\t """ 3 => """ A Rhodes \n \t\t\t\t\t\t\t\t """ 4 => """ PJ Newman \n \t\t\t\t\t\t\t\t """ 5 => """ RM Grounds \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s001340051352" "Revista" => array:6 [ "tituloSerie" => "Intensive Care Med." "fecha" => "2001" "volumen" => "27" "paginaInicial" => "74" "paginaFinal" => "83" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11280677" "web" => "Medline" ] ] ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib11" "etiqueta" => "11" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Blood lactate levels are better prognostic indicators than TNF and IL-6 levels in patients with septic shock" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => """ G Marecaux \n \t\t\t\t\t\t\t\t """ 1 => """ MR Pinsky \n \t\t\t\t\t\t\t\t """ 2 => """ E Dupont \n \t\t\t\t\t\t\t\t """ 3 => """ RJ Kahn \n \t\t\t\t\t\t\t\t """ 4 => """ JL Vincent \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/BF01712155" "Revista" => array:6 [ "tituloSerie" => "Intensive Care Med." "fecha" => "1996" "volumen" => "22" "paginaInicial" => "404" "paginaFinal" => "408" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/8796390" "web" => "Medline" ] ] ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib12" "etiqueta" => "12" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Blood lactate levels are superior to oxygen-derived variables in predicting outcome in human septic shock" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => """ J Bakker \n \t\t\t\t\t\t\t\t """ 1 => """ M Coffernils \n \t\t\t\t\t\t\t\t """ 2 => """ M Leon \n \t\t\t\t\t\t\t\t """ 3 => """ P Gris \n \t\t\t\t\t\t\t\t """ 4 => """ JL Vincent \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1378/chest.99.4.956" "Revista" => array:6 [ "tituloSerie" => "Chest." "fecha" => "1991" "volumen" => "99" "paginaInicial" => "956" "paginaFinal" => "962" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/2009802" "web" => "Medline" ] ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib13" "etiqueta" => "13" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Blood pressure and arterial lactate level are early indicators of short-term survival in human septic shock" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => """ G Bernardin \n \t\t\t\t\t\t\t\t """ 1 => """ C Pradier \n \t\t\t\t\t\t\t\t """ 2 => """ F Tiger \n \t\t\t\t\t\t\t\t """ 3 => """ P Deloffre \n \t\t\t\t\t\t\t\t """ 4 => """ M Mattei \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/BF01728326" "Revista" => array:6 [ "tituloSerie" => "Intensive Care Med." "fecha" => "1996" "volumen" => "22" "paginaInicial" => "17" "paginaFinal" => "25" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/8857433" "web" => "Medline" ] ] ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib14" "etiqueta" => "14" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:1 [ "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => """ JM Handy \n \t\t\t\t\t\t\t\t """ 1 => """ NC Soni \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "LibroEditado" => array:5 [ "editores" => "JLVincent" "titulo" => "Lactic acidosis: theory and practice uncoupled? In Yearbook of Intensive Care and Emergency Medicine" "paginaInicial" => "675" "paginaFinal" => "682" "serieFecha" => "2004" ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib15" "etiqueta" => "15" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Closing the gap on unmeasured anions" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ JA Kellum \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/cc2189" "Revista" => array:6 [ "tituloSerie" => "Critical Care." "fecha" => "2003" "volumen" => "7" "paginaInicial" => "219" "paginaFinal" => "220" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12793870" "web" => "Medline" ] ] ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib16" "etiqueta" => "16" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Initial pH, base deficit, lactate, anion gap, strong ion difference and strong ion gap predict outcome from major vascular injury" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => """ LJ Kaplan \n \t\t\t\t\t\t\t\t """ 1 => """ JA Kellum \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/01.ccm.0000125517.28517.74" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med." "fecha" => "2004" "volumen" => "32" "paginaInicial" => "1120" "paginaFinal" => "1124" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15190960" "web" => "Medline" ] ] ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib17" "etiqueta" => "17" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Hepatic anion flux during acute endotoxemia" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ JA Kellum \n \t\t\t\t\t\t\t\t """ 1 => """ R Bellomo \n \t\t\t\t\t\t\t\t """ 2 => """ DJ Kramer \n \t\t\t\t\t\t\t\t """ 3 => """ MR Pinsky \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1152/jappl.1995.78.6.2212" "Revista" => array:6 [ "tituloSerie" => "J Appl Physiol." "fecha" => "1995" "volumen" => "78" "paginaInicial" => "2212" "paginaFinal" => "2217" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/7665420" "web" => "Medline" ] ] ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib18" "etiqueta" => "18" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The strong ion gap does not have prognostic value in critically ill patients in a mixed medical/surgical adult ICU" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => """ RJ Cusack \n \t\t\t\t\t\t\t\t """ 1 => """ A Rhodes \n \t\t\t\t\t\t\t\t """ 2 => """ P Lochhead \n \t\t\t\t\t\t\t\t """ 3 => """ B Jordan \n \t\t\t\t\t\t\t\t """ 4 => """ S Perry \n \t\t\t\t\t\t\t\t """ 5 => """ JAS Ball \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s00134-002-1318-2" "Revista" => array:6 [ "tituloSerie" => "Intensive Care Med." "fecha" => "2002" "volumen" => "28" "paginaInicial" => "864" "paginaFinal" => "869" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12122523" "web" => "Medline" ] ] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib19" "etiqueta" => "19" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Unmeasured anions in critically ill patients: can they predict mortality?" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ J Rocktaeschel \n \t\t\t\t\t\t\t\t """ 1 => """ H Morimatsu \n \t\t\t\t\t\t\t\t """ 2 => """ S Uchino \n \t\t\t\t\t\t\t\t """ 3 => """ R Bellomo \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/01.CCM.0000079819.27515.8E" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med." "fecha" => "2003" "volumen" => "31" "paginaInicial" => "2131" "paginaFinal" => "2136" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12973170" "web" => "Medline" ] ] ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib20" "etiqueta" => "20" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Unmeasured anions identified by the Fencl-Stewart method predict mortality better than base excess, anion gap, and lactate in patients in the pediatric intensive care unit" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => """ N Balasubramanyan \n \t\t\t\t\t\t\t\t """ 1 => """ PL Havens \n \t\t\t\t\t\t\t\t """ 2 => """ GM Hoffman \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/00003246-199908000-00030" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med." "fecha" => "1999" "volumen" => "27" "paginaInicial" => "1577" "paginaFinal" => "1581" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/10470767" "web" => "Medline" ] ] ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib21" "etiqueta" => "21" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical review: Reunification of acid-base physiology" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ JA Kellum \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/cc3789" "Revista" => array:6 [ "tituloSerie" => "Critical Care." "fecha" => "2005" "volumen" => "9" "paginaInicial" => "500" "paginaFinal" => "507" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/16277739" "web" => "Medline" ] ] ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib22" "etiqueta" => "22" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Serum lactate is not predicted by anion gap or base excess after trauma resuscitation" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ A Mikulaschek \n \t\t\t\t\t\t\t\t """ 1 => """ SM Henry \n \t\t\t\t\t\t\t\t """ 2 => """ R Donovan \n \t\t\t\t\t\t\t\t """ 3 => """ TM Scalea \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/00005373-199602000-00008" "Revista" => array:6 [ "tituloSerie" => "J Trauma." "fecha" => "1996" "volumen" => "40" "paginaInicial" => "218" "paginaFinal" => "224" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/8637069" "web" => "Medline" ] ] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib23" "etiqueta" => "23" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Relationship between blood lactate concentrations and ionized calcium, glucose, and acid-base status in critically ill and noncritically ill patients" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => """ J Aduen \n \t\t\t\t\t\t\t\t """ 1 => """ WK Bernstein \n \t\t\t\t\t\t\t\t """ 2 => """ J Miller \n \t\t\t\t\t\t\t\t """ 3 => """ R Kerzner \n \t\t\t\t\t\t\t\t """ 4 => """ A Bhatiani \n \t\t\t\t\t\t\t\t """ 5 => """ L Davison \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/00003246-199502000-00008" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med." "fecha" => "1995" "volumen" => "23" "paginaInicial" => "246" "paginaFinal" => "252" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/7867349" "web" => "Medline" ] ] ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib24" "etiqueta" => "24" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Lactate and acid base changes in the critically ill" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => """ GR Nimmo \n \t\t\t\t\t\t\t\t """ 1 => """ IS Grant \n \t\t\t\t\t\t\t\t """ 2 => """ SJ Mackensie \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Postgrad Med J." "fecha" => "1991" "volumen" => "67" "paginaInicial" => "S56" "paginaFinal" => "S61" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/1924080" "web" => "Medline" ] ] ] ] ] ] ] ] 24 => array:3 [ "identificador" => "bib25" "etiqueta" => "25" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Relevance of base deficit in the outcome of critically ill patients admitted with hyperlactatemia" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ AT Maciel \n \t\t\t\t\t\t\t\t """ 1 => """ VRP Pizzo \n \t\t\t\t\t\t\t\t """ 2 => """ AS Machado \n \t\t\t\t\t\t\t\t """ 3 => """ M Park \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Revista Brasileira de Terapia Intensiva." "fecha" => "2005" "volumen" => "17" "paginaInicial" => "153" "paginaFinal" => "156" ] ] ] ] ] ] 25 => array:3 [ "identificador" => "bib26" "etiqueta" => "26" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The origin of the acidosis in hyperlactataemia" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ JF Zilva \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/000456327801500111" "Revista" => array:6 [ "tituloSerie" => "Ann Clin Biochem." "fecha" => "1978" "volumen" => "15" "paginaInicial" => "40" "paginaFinal" => "43" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24406" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/18075932/0000006200000001/v1_202212060743/S1807593222031556/v1_202212060743/en/main.assets" "Apartado" => null "PDF" => "https://static.elsevier.es/multimedia/18075932/0000006200000001/v1_202212060743/S1807593222031556/v1_202212060743/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222031556?idApp=UINPBA00004N" ]
Year/Month | Html | Total | |
---|---|---|---|
2024 November | 3 | 0 | 3 |
2024 October | 64 | 29 | 93 |
2024 September | 75 | 32 | 107 |
2024 August | 68 | 30 | 98 |
2024 July | 49 | 26 | 75 |
2024 June | 28 | 31 | 59 |
2024 May | 19 | 17 | 36 |
2024 April | 29 | 16 | 45 |
2024 March | 24 | 15 | 39 |
2024 February | 31 | 11 | 42 |
2024 January | 17 | 21 | 38 |
2023 December | 28 | 25 | 53 |
2023 November | 35 | 21 | 56 |
2023 October | 24 | 28 | 52 |
2023 September | 38 | 24 | 62 |
2023 August | 29 | 10 | 39 |
2023 July | 25 | 20 | 45 |
2023 June | 27 | 27 | 54 |
2023 May | 42 | 5 | 47 |
2023 April | 38 | 4 | 42 |
2023 March | 26 | 1 | 27 |
2023 February | 16 | 2 | 18 |
2023 January | 3 | 2 | 5 |
2022 December | 13 | 2 | 15 |