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"<span class="elsevierStyleTextfn">Scientific letter</span>" "titulo" => "Clinical outcomes and biochemical characteristics of a Hispanic cohort of patients with diabetic ketoacidosis: 10-Year experience in an emergency department" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "216" "paginaFinal" => "218" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Raúl Alberto Jiménez-Castillo, Edgar Francisco Carrizales-Sepúlveda, Marco Antonio Román-Montalvo, Daniel Eduardo Benavides-Salgado, Raymundo Vera-Pineda, Jorge Rafael Violante-Cumpa, José Luis Herrera-Elizondo, Giselle Rivas-Wong, Dulce Georgina Corpus-Ruiz, Homero Náñez-Terreros" "autores" => array:10 [ 0 => array:4 [ "nombre" => "Raúl Alberto" "apellidos" => "Jiménez-Castillo" "email" => array:1 [ 0 => "raulalbertojc10@gmail.com" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:2 [ "nombre" => "Edgar Francisco" "apellidos" => "Carrizales-Sepúlveda" ] 2 => array:2 [ "nombre" => "Marco Antonio" "apellidos" => "Román-Montalvo" ] 3 => array:2 [ "nombre" => "Daniel Eduardo" "apellidos" => "Benavides-Salgado" ] 4 => array:2 [ "nombre" => "Raymundo" "apellidos" => "Vera-Pineda" ] 5 => array:2 [ "nombre" => "Jorge Rafael" "apellidos" => "Violante-Cumpa" ] 6 => array:2 [ "nombre" => "José Luis" "apellidos" => "Herrera-Elizondo" ] 7 => array:2 [ "nombre" => "Giselle" "apellidos" => "Rivas-Wong" ] 8 => array:2 [ "nombre" => "Dulce Georgina" "apellidos" => "Corpus-Ruiz" ] 9 => array:2 [ "nombre" => "Homero" "apellidos" => "Náñez-Terreros" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Internal Medicine Department, Hospital Universitario, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico" "identificador" => "aff0005" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Resultados clínicos y características bioquímicas en una cohorte hispana de pacientes con cetoacidosis diabética: experiencia de una década en el departamento de emergencias" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Diabetic ketoacidosis (DKA) is a potentially life-threatening complication of diabetes mellitus characterized by hyperglycemia, high-anion anion gap metabolic acidosis, and the presence of ketone bodies. The most common causes are non-adherence to treatment and infections.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">1</span></a> Hospital admissions have increased over the last decades with a mortality of 1% in developed countries<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">2</span></a> to 30% in low-income countries.<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">3,4</span></a> Complications include hypoglycemia and serum electrolyte disturbances, with potassium being the most commonly affected.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">5</span></a>We report our ten-year experience of patients with DKA at an academic center in northeast Mexico.</p><p id="par0010" class="elsevierStylePara elsevierViewall">This retrospective study includes 329 subjects diagnosed with DKA from January 2009 to March 2019 at the “Dr. José E. González” University Hospital of the School of Medicine of the Universidad Autónoma de Nuevo León in Monterrey, México. All subjects who presented to the emergency room and fulfilled the diagnostic criteria of DKA<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">6</span></a> were included. Treatment strategies and resolution criteria were selected by each treating physician according to The American Diabetes Association guidelines.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">6</span></a> Mild DKA was categorized by a ph level of 7.25–7.30 and serum bicarbonate between 15 and 18<span class="elsevierStyleHsp" style=""></span>mEq/l, moderate DKA was categorized by a pH level between 7.0 and 7.24 and serum bicarbonate between 10 and 14<span class="elsevierStyleHsp" style=""></span>mEq/l; and severe DKA as patients with pH lower than 7.0 and a serum bicarbonate lower than 10<span class="elsevierStyleHsp" style=""></span>mEq/l. For this analysis, the resolution criteria were guided by current recommendations.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">6</span></a> Hyperkalemia was defined as a potassium level<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>5<span class="elsevierStyleHsp" style=""></span>mmol/L and clinically relevant hyperkalemia as<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>6<span class="elsevierStyleHsp" style=""></span>mmol/L. Hypokalemia was defined as a potassium level<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>3.5<span class="elsevierStyleHsp" style=""></span>mmol/L and relevant hypokalemia as <3.3<span class="elsevierStyleHsp" style=""></span>mEq/L.</p><p id="par0015" class="elsevierStylePara elsevierViewall">The protocol was reviewed and approved by our local IRB, and the need for informed consent was waived. All relevant information was obtained from clinical records. Descriptive analyses were done using frequencies (%) and medians (q25–q75) or means<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD, accordingly. Comparisons of quantitative variables were done using ANOVA. All statistical analysis was done using SPSS version 22.0 (IBM SPSS Statistics for Windows, IBM Corp., Armonk, NY), considering a <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 significant.</p><p id="par0020" class="elsevierStylePara elsevierViewall">A total of 329 subjects with DKA were included in our analysis. Subjects had a median age of 32 years (range: 18–90) and 169 (51.4%) were women. Regarding initial biochemical characteristics, blood glucose was 475.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>202.4<span class="elsevierStyleHsp" style=""></span>mg/dL, pH was 7.08<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.15, serum bicarbonate was 7.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.4<span class="elsevierStyleHsp" style=""></span>mmol/L and the anion gap was 23.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.7<span class="elsevierStyleHsp" style=""></span>mmol/L. No significant difference was found between genders in clinical or biochemical features.</p><p id="par0025" class="elsevierStylePara elsevierViewall">Regarding DKA severity, 236 (71.7%) cases were classified as severe, 73 (22.2%), as moderate and 20 (6.1%) as mild. Of the entire group, 10 (3%) subjects presented hypokalemia, 36 (10.9%) significant hypokalemia, and 6 (1.9%) severe hypokalemia. Hyperkalemia was found in 67 (20.40%) patients, severe hyperkalemia in 28 (8.51%), and the rest had normal potassium levels. Mean serum glucose was 550.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>224.2<span class="elsevierStyleHsp" style=""></span>mg/dL in subjects with hyperkalemia, 454.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>177.9<span class="elsevierStyleHsp" style=""></span>mg/dL in those with normal potassium, and 410.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>205.3<span class="elsevierStyleHsp" style=""></span>mg/dL in subjects with hypokalemia (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001).</p><p id="par0030" class="elsevierStylePara elsevierViewall">Hypoglycemia occurred in 27 (8.2%) patients during treatment. There were no cases of brain edema in our group. Of the whole cohort, time to resolution of DKA was 26<span class="elsevierStyleHsp" style=""></span>h and 22<span class="elsevierStyleHsp" style=""></span>min with a standard deviation of ±18<span class="elsevierStyleHsp" style=""></span>h and 10<span class="elsevierStyleHsp" style=""></span>min. A total of 8 (2.4%) deaths were documented; all of these associated with septic shock.</p><p id="par0035" class="elsevierStylePara elsevierViewall">Clinical and laboratory features between mild, moderate and severe DKA were compared. As expected, statistically significant differences were found in pH, serum bicarbonate, and anion gap (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). Significant differences were also found in hemoglobin, white blood cells, platelets, PCO<span class="elsevierStyleInf">2</span>, heart rate, respiratory rate, and blood urea nitrogen. Complete data are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0040" class="elsevierStylePara elsevierViewall">A subgroup of 52 patients with significant hypokalemia during treatment was studied; after a median of 6 units per hour of continuous insulin infusion, and a potassium replacement of 10<span class="elsevierStyleHsp" style=""></span>mEq per hour, only 5 (9.6%) did not improve to >3.3<span class="elsevierStyleHsp" style=""></span>mEq/L of potassium in the next measurement of serum electrolytes.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Even though DKA is a well-known complication of diabetes mellitus, data on clinical and biochemical features are scarce. Similar to a previous study from Canadian institutions,<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">7</span></a> severe DKA was frequent, but a lower mean pH was found in our group. This could be due to the greater number of uninsured patients in our population, who commonly delay seeking medical attention.</p><p id="par0050" class="elsevierStylePara elsevierViewall">Hypoglycemia during treatment is a known and frequent concern. In a study from the UK more than 25% of patients<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">8,9</span></a> had a serum glucose level below 70<span class="elsevierStyleHsp" style=""></span>mg/dL. This event was only present in 8.2% of our patients. The mortality rate in our group was 2.4%, slightly higher than that reported in high-income countries<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">6</span></a> but significantly lower than others.<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">3,4</span></a></p><p id="par0055" class="elsevierStylePara elsevierViewall">Interestingly, almost half of the patients in our cohort presented at the emergency department with serum potassium abnormalities. In this respect, insulin plays a determinant role for cellular potassium regulation, promoting its influx from the extracellular compartment. Hypokalemia is also worsened by increased diuresis after aggressive IV hydration, vital in the management of DKA. Furthermore, in subjects with DKA, sodium is retained at the expense of augmented potassium excretion, and renal loss of potassium is also magnified by the accompanying acidosis.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">1</span></a> Hypokalemia on admission was traditionally documented as an uncommon event<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">10</span></a>; however, this affirmation was completely different in our population. Mortality attributable to this electrolyte disturbance is infrequent, and in this respect, none of the deaths in our cohort were associated with this complication. We documented this and other problems in our Mexican cohort where diabetes mellitus is a current health problem. Nevertheless, complications during treatment of DKA need to be further evaluated in a prospective manner. Some limitations in our study are its single center and retrospective design and the absence of follow-up after discharge. Some of the strengths are the considerable number of patients included and strict adherence to the American Diabetes Association guidelines.</p><p id="par0060" class="elsevierStylePara elsevierViewall">In conclusion, DKA is a serious but preventable complication of diabetes mellitus; similarities to other groups regarding mortality, clinical, and biochemical features were found. Nevertheless, a higher than expected prevalence of severe DKA was found. In addition, potassium disturbances tend to be more frequent but none of them were directly associated with mortality.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Conflict of interest</span><p id="par0065" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Conflict of interest" ] 1 => array:2 [ "identificador" => "xack464377" "titulo" => "Acknowledgements" ] 2 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "multimedia" => array:1 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Mild DKA \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Moderate DKA \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Severe DKA \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean (±SD) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean (±SD) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean (±SD) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><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-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Blood glucose, 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">396.20 (196.19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">448.07 (152.81) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">490.86 (214.28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.056 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.28 (0.04) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.21 (0.06) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.03 (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="char" 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-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Bicarbonate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.0 (1.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.79 (2.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.44 (2.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ANION GAP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14.95 (1.92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.56 (6.27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25.83 (6.20) \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="char" 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-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Serum osmolality \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">291.40 (5.32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">300.45 (10.69) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">297.96 (12.06) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.278 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Lactate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.97 (0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.59 (2.39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.59 (2.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.536 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">White blood cells<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span>/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.47 (6.21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14.75 (7.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.73 (14.61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.008 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hemoglobin, g/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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.95 (3.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16.03 (1.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.58 (3.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.047 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Platelet count<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span>/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">270.54 (89.84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">299.18 (125.81) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">326.18 (118.36) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.048 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PCO<span class="elsevierStyleInf">2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.09 (4.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">32.02 (7.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.94 (12.93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Systolic pressure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">120.00 (27.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">116.74 (23.39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">115.68 (23.06) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.712 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diastolic pressure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71.35 (12.55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75.07 (15.18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">74.60 (16.18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.638 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cardiac frequency \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">102.55 (22.81) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">105.42 (24.02) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">114.27 (23.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Respiratory frequency \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.25 (5.24) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.72 (11.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.51 (11.34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Creatinine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.46 (1.05) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.56 (1.17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.85 (1.32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.821 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Blood urea nitrogen \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24.35 (16.51) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.32 (22.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21.35 (16.38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.045 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sodium \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">132.76 (5.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">133.14 (6.20) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">132.63 (6.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.822 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Potassium \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.36 (0.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.44 (0.84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.55 (1.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.559 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Chloride \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100.73 (6.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100.55 (7.21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">101.85 (10.71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.578 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2302108.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Comparison of mean values of clinical and laboratory in mild, moderate and severe diabetic ketoacidosis (DKA) at diagnosis. 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Year/Month | Html | Total | |
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2024 November | 10 | 0 | 10 |
2024 October | 17 | 4 | 21 |
2024 September | 16 | 3 | 19 |
2024 August | 24 | 3 | 27 |
2024 July | 15 | 3 | 18 |
2024 June | 10 | 3 | 13 |
2024 May | 17 | 5 | 22 |
2024 April | 19 | 3 | 22 |
2024 March | 32 | 4 | 36 |
2024 February | 18 | 2 | 20 |
2024 January | 15 | 4 | 19 |
2023 December | 9 | 2 | 11 |
2023 November | 16 | 1 | 17 |
2023 October | 14 | 3 | 17 |
2023 September | 16 | 3 | 19 |
2023 August | 7 | 2 | 9 |
2023 July | 9 | 3 | 12 |
2023 June | 12 | 6 | 18 |
2023 May | 3 | 0 | 3 |
2023 April | 4 | 2 | 6 |
2023 March | 7 | 4 | 11 |
2023 February | 12 | 8 | 20 |
2023 January | 7 | 6 | 13 |
2022 December | 11 | 9 | 20 |
2022 November | 8 | 3 | 11 |
2022 October | 11 | 11 | 22 |
2022 September | 6 | 10 | 16 |
2022 August | 15 | 4 | 19 |
2022 July | 8 | 8 | 16 |
2022 June | 9 | 8 | 17 |
2022 May | 15 | 4 | 19 |
2022 April | 10 | 8 | 18 |
2022 March | 6 | 3 | 9 |
2022 February | 8 | 5 | 13 |
2022 January | 14 | 7 | 21 |
2021 December | 10 | 9 | 19 |
2021 November | 9 | 8 | 17 |
2021 October | 8 | 10 | 18 |
2021 September | 7 | 10 | 17 |
2021 August | 3 | 2 | 5 |
2021 July | 11 | 5 | 16 |
2021 June | 5 | 4 | 9 |
2021 May | 11 | 10 | 21 |
2021 April | 27 | 3 | 30 |
2021 March | 11 | 2 | 13 |
2021 February | 5 | 5 | 10 |
2021 January | 9 | 2 | 11 |
2020 December | 7 | 2 | 9 |
2020 November | 10 | 5 | 15 |
2020 October | 4 | 2 | 6 |
2020 September | 6 | 3 | 9 |