Multiple biomarkers covering several pathways improve predictive ability for cognitive impairment among ischemic stroke patients with elevated blood pressure. (August 2019)

• Record Type: Journal Article
• Authors: Zhu, Zhengbao; Zhong, Chongke; Guo, Daoxia; Bu, Xiaoqing; Xu, Tan; Guo, Libing; Liu, Jiale; Zhang, Jintao; Li, Dong; Zhang, Jianhui; Ju, Zhong; Chen, Chung-Shiuan; Chen, Jing; He, Jiang; Zhang, Yonghong
• Is Part Of: Atherosclerosis. Volume 287(2019)
• Page Start: 30
• Page End: 37
• Publication Date: 2019-08
• Subjects: Cognitive impairment -- Ischemic stroke -- Biomarkers -- Risk prediction -- Prevention; Arteriosclerosis -- Periodicals; Electronic journals; 616.136
• DOI: 10.1016/j.atherosclerosis.2019.05.028
• Languages: English
• ISSNs: 0021-9150

Abstract

Abstract: Background and aims: We aimed to evaluate the ability of multiple novel biomarkers representing several pathophysiological pathways to improve risk prediction of post-stroke cognitive impairment. Methods: We conducted a prospective multicenter study in 638 ischemic stroke patients with elevated blood pressure based on a random subsample from China Antihypertensive Trial in Acute Ischemic Stroke and measured 12 circulating biomarkers in these participants. Cognitive impairment was assessed at 3 months after stroke with definitions of Mini-Mental State Examination (MMSE) score <27 or Montreal Cognitive Assessment (MoCA) score <25. Results: According to MMSE score, 1 SD increase of rheumatoid factor (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.02–1.46), matrix metalloproteinase-9 (OR 1.47, 95% CI 1.22–1.77) and total homocysteine (OR 1.22, 95% CI 1.01–1.49) after log transformation was significantly associated with the risk of post-stroke cognitive impairment. The ORs associated with their simultaneously high levels were 4.89 (95% CI, 2.31–10.35; p trend <0.001) and 3.09 (95% CI, 1.60–5.98; p trend <0.001) for cognitive impairment and the severity of cognitive impairment, respectively. Adding these 3 biomarkers to conventional model significantly improved the risk prediction of cognitive impairment (C statistic 0.729 vs. 0.688, p = 0.004; net reclassification improvement = 33.67%, p < 0.001; integrated discrimination index = 4.61%; p < 0.001). Similar significant findings were observed when cognitive impairment was defined by MoCA score. Conclusions: Combination of rheumatoid factor, matrix metalloproteinase-9 and total homocysteine can improve the risk prediction of cognitive impairment among ischemic stroke patients with elevated blood pressure. Further studies are warranted to validate our findings and explore their roles as potential therapeutic targets. Graphical abstract: Image 1 Highlights: The first study using multiple biomarkers to examine improvement in risk prediction for post-stroke cognitive impairment. This prospective study is by far the largest biomarker study of post-stroke cognitive impairment. Combination of RF, MMP-9 and tHcy might improve the risk prediction of post-stroke cognitive impairment. RF, MMP-9 and tHcy should be measured simultaneously among ischemic stroke patients in future clinical practice. Further studies are warranted to explore their roles as potential therapeutic targets.