Red blood cell distribution width is associated with mortality in elderly patients with sepsis. 2018

An-Yi Wang, and Hon-Ping Ma, and Wei-Fong Kao, and Shin-Han Tsai, and Cheng-Kuei Chang
Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan; Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei City, Taiwan; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei City, Taiwan.

BACKGROUND RDW is a prognostic biomarker and associated with mortality in cardiovascular disease, stroke and metabolic syndrome. For elderly patients, malnutrition and multiple comorbidities exist, which could affect the discrimination ability of RDW in sepsis. The main purpose of our study was to evaluate the prognostic value of RDW in sepsis among elderly patients. METHODS This was a retrospective cohort study conducted in emergency department intensive care units (ED-ICU) between April 2015 and November 2015. Elderly patients (≥65years old) who were admitted to the ED-ICU with a diagnosis of severe sepsis and/or septic shock were included. The demographic data, biochemistry data, qSOFA, and APACHE II score were compared between survivors and nonsurvivors. RESULTS A total of 117 patients was included with mean age 81.5±8.3years old. The mean APACHE II score was 21.9±7.1. In the multivariate Cox proportional hazards model, RDW level was an independent variable for mortality (hazard ratio: 1.18 [1.03-1.35] for each 1% increase in RDW, p=0.019), after adjusting for CCI, any diagnosed malignancy, and eGFR. The AUC of RDW in predicting mortality was 0.63 (95% confidence interval [CI]: 0.52-0.74, p=0.025). In subgroup analysis, for qSOFA <2, nonsurvivors had higher RDW levels than survivors (17.0±3.3 vs. 15.3±1.4%, p=0.044). CONCLUSIONS In our study, RDW was an independent predictor of in-hospital mortality in elderly patients with sepsis. For qSOFA scores <2, higher RDW levels were associated with poor prognosis. RDW could be a potential parameter used alongside the clinical prediction rules.

UI MeSH Term Description Entries
D007362 Intensive Care Units Hospital units providing continuous surveillance and care to acutely ill patients. ICU Intensive Care Units,Intensive Care Unit,Unit, Intensive Care
D008297 Male Males
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D004906 Erythrocyte Count The number of RED BLOOD CELLS per unit volume in a sample of venous BLOOD. Blood Cell Count, Red,Erythrocyte Number,Red Blood Cell Count,Count, Erythrocyte,Counts, Erythrocyte,Erythrocyte Counts,Erythrocyte Numbers
D004909 Erythrocyte Indices ERYTHROCYTE size and HEMOGLOBIN content or concentration, usually derived from ERYTHROCYTE COUNT; BLOOD hemoglobin concentration; and HEMATOCRIT. The indices include the mean corpuscular volume (MCV), the mean corpuscular hemoglobin (MCH), and the mean corpuscular hemoglobin concentration (MCHC). Erythrocyte Hemoglobin, Mean Cell,Erythrocyte Size Determination,Erythrocyte Volume, Mean Cell,Hemoglobin, Erythrocyte, Mean Cell,Mean Corpuscular Volume,Red Cell Indices,Erythrocyte Diameter,Erythrocyte Index,Erythrocyte Indexes,Erythrocyte Thickness,Mean Cell Hemoglobin Concentration,Mean Cell Volume,Mean Corpuscular Hemoglobin,Mean Corpuscular Hemoglobulin Concentration,Red Cell Distribution Width,Red Cell Index,Red Cell Indexes,Cell Volumes, Mean,Corpuscular Volumes, Mean,Determination, Erythrocyte Size,Determinations, Erythrocyte Size,Diameter, Erythrocyte,Diameters, Erythrocyte,Erythrocyte Diameters,Erythrocyte Size Determinations,Hemoglobin, Mean Corpuscular,Hemoglobins, Mean Corpuscular,Index, Erythrocyte,Index, Red Cell,Indexes, Erythrocyte,Indexes, Red Cell,Indices, Erythrocyte,Indices, Red Cell,Mean Cell Volumes,Mean Corpuscular Hemoglobins,Mean Corpuscular Volumes,Size Determination, Erythrocyte,Size Determinations, Erythrocyte,Thickness, Erythrocyte,Volume, Mean Cell,Volume, Mean Corpuscular,Volumes, Mean Cell,Volumes, Mean Corpuscular
D005260 Female Females
D005500 Follow-Up Studies Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease. Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000369 Aged, 80 and over Persons 80 years of age and older. Oldest Old

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