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Different impact of biomarkers as mortality predictors among diabetic and nondiabetic patients undergoing hemodialysis

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JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
卷 14, 期 9, 页码 2329-2337

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/01.ASN.0000081662.64171.9B

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Diabetic patients undergoing hemodialysis demonstrate much worse survival rates than do nondiabetic patients undergoing hemodialysis. To search for risk predictors, a prospective cohort study was performed with 245 hemodialysis patients, including 84 with diabetes mellitus, for 2 yr. C-reactive protein, troponin T (TnT), total, HDL, LDL, and lipoprotein(a) cholesterol, apoA2, apoB, triglyceride, fibrinogen, D-dimer, albumin, and creatinine levels and clinical characteristics at the time of entry were recorded. Survival rates were compared with Kaplan-Meier and Cox regression analyses. Forty-three diabetic patients and 30 nondiabetic patients died. Among diabetic patients, oliguria (<200 ml/d) (relative risk, 3.24; 95% confidence interval, 1.63 to 6.41; P = 0.001), elevated C-reactive protein levels (relative risk, 2.57; 95% confidence interval, 1.06 to 6.18; P = 0.035), and elevated D-dimer levels (relative risk, 2.36; 95% confidence interval, 1.11 to 5.01; P = 0.025) predicted all-cause mortality rates. Oliguria was by far the most important predictor, particularly for infectious disease-related death (relative risk, 23.35; 95% confidence interval, 2.60 to 209.97; P = 0.005). Among nondiabetic patients, elevated TnT levels (relative risk, 4.00; 95% confidence interval, 1.58 to 10.10; P = 0.003), elevated D-dimer levels (relative risk, 3.45; 95% confidence interval, 1.27 to 9.33; P = 0.015), and low cholesterol levels (relative risk, 3.61; 95% confidence interval, 1.34 to 9.71; P = 0.011) predicted all-cause mortality rates. Subdivision of the causes of death among nondiabetic patients revealed that TnT levels predicted cardiovascular mortality rates (relative risk, 5.38; 95% confidence interval, 1.11 to 26.10; P = 0.037) and infectious disease-related mortality rates (relative risk, 12.02; 95% confidence interval, 1.42 to 191.96; P = 0.023). In conclusion, mortality predictors among patients undergoing hemodialysis differed substantially between diabetic and nondiabetic patients. Strategies to reduce mortality rates should consider these differences.

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