Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, 824 Guardian Drive, Blockley Hall, Philadelphia, Pennsylvania, 19104-6021, USA.
Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
BMC Nephrol. 2018 Jun 26;19(1):150. doi: 10.1186/s12882-018-0951-0.
Hematuria is associated with chronic kidney disease (CKD), but has rarely been examined as a risk factor for CKD progression. We explored whether individuals with hematuria had worse outcomes compared to those without hematuria in the CRIC Study.
Participants were a racially and ethnically diverse group of adults (21 to 74 years), with moderate CKD. Presence of hematuria (positive dipstick) from a single urine sample was the primary predictor. Outcomes included a 50% or greater reduction in eGFR from baseline, ESRD, and death, over a median follow-up of 7.3 years, analyzed using Cox Proportional Hazards models. Net reclassification indices (NRI) and C statistics were calculated to evaluate their predictive performance.
Hematuria was observed in 1145 (29%) of a total of 3272 participants at baseline. Individuals with hematuria were more likely to be Hispanic (22% vs. 9.5%, respectively), have diabetes (56% vs. 48%), lower mean eGFR (40.2 vs. 45.3 ml/min/1.73 m2), and higher levels of urinary albumin > 1.0 g/day (36% vs. 10%). In multivariable-adjusted analysis, individuals with hematuria had a greater risk for all outcomes during the first 2 years of follow-up: Halving of eGFR or ESRD (HR Year 1: 1.68, Year 2: 1.36), ESRD (Year 1: 1.71, Year 2: 1.39) and death (Year 1:1.92, Year 2: 1.77), and these associations were attenuated, thereafter. Based on NRIs and C-statistics, no clear improvement in the ability to improve prediction of study outcomes was observed when hematuria was included in multivariable models.
In a large adult cohort with CKD, hematuria was associated with a significantly higher risk of CKD progression and death in the first 2 years of follow-up but did not improve risk prediction.
血尿与慢性肾脏病(CKD)有关,但很少被视为 CKD 进展的危险因素。我们在 CRIC 研究中探讨了血尿患者与无血尿患者相比,结局是否更差。
参与者是一组种族和民族多样化的成年人(21 至 74 岁),患有中度 CKD。主要预测因素是单次尿样的血尿(阳性尿试纸)。结局包括中位随访 7.3 年期间 eGFR 下降 50%或更多、ESRD 和死亡,采用 Cox 比例风险模型进行分析。计算净重新分类指数(NRI)和 C 统计量以评估其预测性能。
在总共 3272 名参与者中,有 1145 名(29%)在基线时出现血尿。血尿患者更可能是西班牙裔(分别为 22%和 9.5%),患有糖尿病(56%和 48%),平均 eGFR 较低(40.2 与 45.3 ml/min/1.73 m2),尿液白蛋白水平更高(36%与 10%)。在多变量调整分析中,血尿患者在前 2 年的随访中所有结局的风险更高:eGFR 减半或 ESRD(第 1 年:1.68,第 2 年:1.36),ESRD(第 1 年:1.71,第 2 年:1.39)和死亡(第 1 年:1.92,第 2 年:1.77),此后这些关联减弱。基于 NRI 和 C 统计量,当血尿纳入多变量模型时,并未观察到改善对研究结局预测能力的明显改善。
在患有 CKD 的大型成年队列中,血尿与随访前 2 年 CKD 进展和死亡的风险显著增加相关,但并未改善风险预测。