医学
肌酐
蛋白尿
内科学
糖尿病肾病
危险系数
2型糖尿病
糖尿病
肾功能
肾病
肾脏疾病
风险因素
胃肠病学
泌尿科
内分泌学
置信区间
肾
作者
William F. Keane,Zhongxin Zhang,Paulette A. Lyle,Mark E. Cooper,Dick de Zeeuw,Jean-Pierre Grunfeld,James P. Lash,Janet B. McGill,William E. Mitch,Giuseppe Remuzzi,Shahnaz Shahinfar,Steven Snapinn,Robert D. Toto,Barry M. Brenner
出处
期刊:Clinical Journal of The American Society of Nephrology
[American Society of Nephrology]
日期:2006-05-18
卷期号:1 (4): 761-767
被引量:191
摘要
Diabetic nephropathy is the most important cause of ESRD. The aim of this study was to develop a risk score from risk predictors for ESRD, with and without death, in the Reduction of Endpoints in NIDDM with the Angiotensin II Antagonist Losartan (RENAAL) study and to compare ability of the ESRD risk score and its components to predict ESRD. The risk score was developed from coefficients of independent risk factors from multivariate analysis of baseline variables and equals (1.96 × log [urinary albumin:creatinine ratio]) − (0.78 serum albumin [g/dl]) + (1.28 × serum creatinine [mg/dl]) − (0.11 × hemoglobin [g/dl]). It was robust with respect to severity of nephropathy, gender, race, and treatment group. The risk score for ESRD or death was comparable. The four risk predictors for progression of kidney disease were independent of therapy. For combined treatment groups, the hazard ratio between the fourth and first quartiles of the ESRD risk score was 49.0, as compared with the corresponding hazard ratios for each component: 14.7 for urinary albumin:creatinine ratio, 9.2 for serum creatinine, 5.5 for hemoglobin, and 10.2 for serum albumin. The RENAAL risk scores for ESRD with or without death emphasize the importance of identification of level of albuminuria, serum albumin, serum creatinine, and hemoglobin to predict development of ESRD in patients with type 2 diabetes and nephropathy. Although albuminuria is a strong risk factor for ESRD, the contribution of serum albumin, serum creatinine, and hemoglobin level further enhances prediction of ESRD. Future trials with a similar patient population and outcomes measures should consider adjusting analyses for baseline risk factors.
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