Wang Anxin, Liu Xiaoxue, Su Zhaoping, Chen Shuohua, Zhang Nan, Wu Shouling, Wang Yongjun, Wang Yilong
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
J Am Heart Assoc. 2017 Jun 30;6(7):e006271. doi: 10.1161/JAHA.117.006271.
Whether changes in proteinuria are associated with incident stroke in the general population is unclear. This study aimed to investigate the association between changes in proteinuria and incident stroke and its subtypes.
The current study included 60 940 Chinese participants (mean age, 50.69 years) who were free of stroke at the time of surveys (2006-2007 and 2008-2009). Participants were divided into 4 categories according to 2-year changes in proteinuria: no proteinuria, remittent proteinuria, incident proteinuria, and persistent proteinuria. Cox proportional hazards models were used to calculate hazard ratios and their 95% CIs for stroke. After a median follow-up period of 6.92 years, 1769 individuals developed stroke. After adjustment for confounding factors, incident proteinuria and persistent proteinuria were associated with increased risk of stroke (hazard ratio, 1.46 [95% CI, 1.26-1.68] and hazard ratio, 1.71 [95% CI, 1.42-2.06], respectively) compared with no proteinuria, which were higher than proteinuria detected at one single point (hazard ratio, 1.25; 95% CI, 1.09-1.43). The effect size for risk of stroke subtypes including ischemic stroke and hemorrhagic stroke was similar.
Changes in proteinuria exposure, particularly persistent proteinuria, are more likely to reflect the risk of stroke, compared with proteinuria collected at a single time point in the general population.
蛋白尿的变化与普通人群中卒中的发生是否相关尚不清楚。本研究旨在调查蛋白尿变化与卒中及其亚型发生之间的关联。
本研究纳入了60940名中国参与者(平均年龄50.69岁),这些参与者在调查时(2006 - 2007年和2008 - 2009年)无卒中。参与者根据蛋白尿的两年变化分为4类:无蛋白尿、间歇性蛋白尿、新发蛋白尿和持续性蛋白尿。使用Cox比例风险模型计算卒中的风险比及其95%置信区间。在中位随访期6.92年后,1769人发生了卒中。在调整混杂因素后,与无蛋白尿相比,新发蛋白尿和持续性蛋白尿与卒中风险增加相关(风险比分别为1.46 [95%置信区间,1.26 - 1.68]和风险比1.71 [95%置信区间,1.42 - 2.06]),高于单次检测到的蛋白尿(风险比1.25;95%置信区间,1.09 - 1.43)。包括缺血性卒中和出血性卒中在内的卒中亚型风险的效应大小相似。
与普通人群单次收集的蛋白尿相比,蛋白尿暴露的变化,尤其是持续性蛋白尿,更有可能反映卒中风险。