Background and aims Proteinuria is a marker of kidney disease and a strong risk factor for cardiovascular diseases including stroke. This study was aimed at investigating the prognostic value of proteinuria measured by urine dipstick in patients with acute ischemic stroke. Methods This post-hoc analysis of a prospective cohort study included 3404 consecutive patients who had been admitted for acute ischemic stroke between November 2005 and June 2013. Proteinuria was defined as a trace or more of protein on a urine dipstick test routinely performed at admission. Date and cause of death until December 31, 2013 were collected. We investigated the association of proteinuria with all-cause mortality, cardiovascular mortality (defined as ICD-10 codes I00–I99), and non-cardiovascular mortality. Results Proteinuria was present in 12.8% of the 3404 patients. During the mean follow-up period of 3.56 ± 2.22 years, there were 681 cases of all-cause mortality (460 cardiovascular deaths and 221 non-cardiovascular deaths). Multivariate Cox regression analysis showed that the presence of proteinuria was an independent risk factor for all-cause mortality (adjusted hazard ratio [HR] 1.69, 95% confidence interval [CI] 1.40–2.04), cardiovascular mortality (adjusted HR 1.65, 95% CI 1.31–2.08), and non-cardiovascular mortality (adjusted HR 1.59, 95% CI 1.13–2.23). Adding proteinuria to the multivariate Cox models moderately improved the model performance for all-cause mortality (integrated area under curve [95% CI]: from 0.800 [0.784–0.816] to 0.803 [0.788–0.818], p = 0.026). Conclusions Proteinuria, which was detected on a urine dipstick test, was a significant predictor of mortality after acute ischemic stroke.
|Number of pages||6|
|Publication status||Published - 2016 Oct 1|
Bibliographical noteFunding Information:
This work was supported by a grant from the Korea Healthcare Technology Research and Development Project, Ministry for Health, Welfare, and Family Affairs, Republic of Korea (HI08C2149). Funding did not influence the study design, collection of data, statistical analysis, interpretation, manuscript writing, or submission of this manuscript.
All Science Journal Classification (ASJC) codes
- Cardiology and Cardiovascular Medicine