The Predictive Role of Red Cell Distribution Width in Mortality among Chronic Kidney Disease Patients

• DOI: 10.1371/journal.pone.0162025
• Publication Date: 2016-12-01T19:28:55Z
• Authors: Yao-Peng Hsieh; Chia-Chu Chang; Chew-Teng Kor; Yu Yang; Yao-Ko Wen; Ping-Fang Chiu
• Keywords: Erythrocyte Indices; Male; Erythrocytes; Science; Q; R; Kaplan-Meier Estimate; Middle Aged; Infections; Prognosis; 3. Good health; 03 medical and health sciences; 0302 clinical medicine; Cardiovascular Diseases; Risk Factors; Medicine; Humans; Female; Renal Insufficiency, Chronic; Research Article; Aged; Follow-Up Studies; Proportional Hazards Models

Recently, accumulating evidence has demonstrated that RDW independently predicts clinically important outcomes in many populations. However, the role of not been elucidated chronic kidney disease (CKD) patients. We conducted present study with aim to evaluate predictive value CKD patients.A retrospective observational cohort 1075 stage 3-5 patients was a medical center. The patients' baseline information included demographic data, laboratory values, medications, and comorbid conditions. upper limit normal (14.9%) used divide whole population. Multivariate Cox regression analysis determine independent predictors mortality.Of participants, 158 (14.7%) died over mean follow-up approximately 2.35 years. crude mortality rate significantly higher high group (high group, 22.4%; low 11%, p <0.001). From adjusted model, correlated hazard ratio 2.19 for overall as compared (95% CI = 1.53-3.09, p<0.001). In addition, also associated an increased risk cardiovascular (HR 2.28, 95% 1.14-4.25, 0.019) infection 1.9, 1.15-3.14, 0.012)) related comparison group.In patients, patient all-cause, infection. should be considered clinical predictor when providing healthcare