Diabetes Epidemiology and Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA.
Clin J Am Soc Nephrol. 2011 Oct;6(10):2444-51. doi: 10.2215/CJN.00580111. Epub 2011 Aug 18.
We investigated predictive value of albuminuria and estimated GFR (eGFR) for ESRD in Pima Indians with type 2 diabetes.
DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS: Beginning in 1982, 2420 diabetic Pima Indians ≥18 years old were followed until they developed ESRD or died or until December 31, 2005. Individuals were classified at baseline by urinary albumin-to-creatinine ratio (ACR) and by eGFR, calculated by the Chronic Kidney Disease Epidemiology Collaboration equation. Predictors of ESRD and mortality were examined by proportional hazards regression.
During a mean follow-up of 10.2 years, 287 individuals developed ESRD. Incidence of ESRD among individuals with macroalbuminuria (ACR ≥ 300 mg/g) was 9.3 times that of those with normoalbuminuria (ACR < 30 mg/g), controlled for age, gender, and duration of diabetes. Incidence among individuals with eGFR 15 to 29 ml/min per 1.73 m(2) was 81.9 times that of those with eGFR 90 to 119 ml/min per 1.73 m(2). Models that combined albuminuria and eGFR added significant predictive information about risk of ESRD or death compared with models containing eGFR or albuminuria alone. The hazard ratio for ESRD associated with a 10-ml/min per 1.73 m(2) lower eGFR was 1.36, whereas that associated with an increase in albuminuria category was 2.69; corresponding hazard ratios for death were 1.15 and 1.37.
These results suggest that incorporation of quantitative information about albuminuria into staging systems based on eGFR adds significant prognostic information about risk for diabetic ESRD and death.
我们研究了白蛋白尿和估算肾小球滤过率(eGFR)对 2 型糖尿病皮马印第安人的终末期肾病(ESRD)的预测价值。
设计、地点、参与者和测量:从 1982 年开始,2420 名年龄在 18 岁以上的糖尿病皮马印第安人接受随访,直到他们发生 ESRD 或死亡,或直至 2005 年 12 月 31 日。个体在基线时根据尿白蛋白与肌酐比值(ACR)和慢性肾脏病流行病学合作组方程计算的 eGFR 进行分类。通过比例风险回归检查 ESRD 和死亡率的预测因素。
在平均 10.2 年的随访期间,287 人发生 ESRD。ACR≥300mg/g 的大量白蛋白尿个体的 ESRD 发生率是 ACR<30mg/g 的个体的 9.3 倍,控制了年龄、性别和糖尿病病程。eGFR 为 15 至 29ml/min/1.73m²的个体的发生率是 eGFR 为 90 至 119ml/min/1.73m²的个体的 81.9 倍。与仅包含 eGFR 或白蛋白尿的模型相比,结合白蛋白尿和 eGFR 的模型对 ESRD 或死亡风险的预测信息有显著增加。与 eGFR 降低 10ml/min/1.73m²相关的 ESRD 风险比为 1.36,而与白蛋白尿类别增加相关的风险比为 2.69;相应的死亡风险比为 1.15 和 1.37。
这些结果表明,将白蛋白尿的定量信息纳入基于 eGFR 的分期系统中,可显著增加糖尿病 ESRD 和死亡风险的预后信息。