Associations between admission levels of multiple biomarkers and subsequent worse outcomes in acute ischemic stroke patients
Weili Jia, Yingyu Jiang, Yong Jiang, Xia Meng, Hao Li, Xingquan Zhao, Yilong Wang, Yongjun Wang, Hongqiu Gu, Zixiao Li
Abstract
The modified Rankin Scale change score (ΔmRS) is useful for evaluating acute poststroke functional improvement or deterioration. We investigated the relationship between multiple biomarkers and ΔmRS by analyzing data on 6931 patients with acute ischemic stroke (average age 62.3 ± 11.3 years, 2174 (31.4%) female) enrolled from the Third China National Stroke Registry (CNSR-III) and 15 available biomarkers. Worse outcomes at 3 months were defined as ΔmRS 3m-discharge ≥1 (ΔmRS 3m-discharge = mRS 3m -mRS discharge ). Adjusted odds ratios (aORs) and their 95% confidence intervals (CIs) were calculated from logistic regression models. At 3-months poststroke, 1026 (14.8%) patients experienced worse outcomes. The highest quartiles of white blood cells (WBCs) (aOR [95%CI],1.37 [1.12–1.66]), high-sensitivity C-reactive protein (hs-CRP) (1.37 [1.12–1.67]), interleukin-6 (IL-6) (1.43 [1.16–1.76]), interleukin-1 receptor antagonist (IL-1Ra) (1.46 [1.20–1.78]) and YKL-40 (1.31 [1.06–1.63]) were associated with an increased risk of worse outcomes at 3 months. Results remained stable except for YKL-40 when simultaneously adding multiple biomarkers to the basic traditional-risk-factor model. Similar results were observed at 6 and 12 months after stroke. This study indicated that WBCs, hs-CRP, IL-6, IL-1Ra, and YKL-40 were significantly associated with worse outcomes in acute ischemic stroke patients, and all inflammatory biomarkers except YKL-40 were independent predictors of worse outcomes at 3 months.