Red cell index: A novel biomarker for 3‐month mortality in acute ischemic stroke patients treated with intravenous thrombolysis

Abstract Background The red cell index (RCI) was described as a biomarker for evaluating respiratory function in previous studies, but the relationship between RCI and stroke, remained a mystery. The present study aimed to probe the association between RCI at 24‐hr and 3‐month mortality and function...

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Main Authors: Meizi Qian, Xinbo Zhou, Beibei Gao, Honghao Huang, Chenguang Yang, Tian Zeng, Jiamin Shen, Jingyu Hu, Fangyue Sun, Shengqi Li, Xuerong Huang, Guangyong Chen
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:Brain and Behavior
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Online Access:https://doi.org/10.1002/brb3.2170
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Summary:Abstract Background The red cell index (RCI) was described as a biomarker for evaluating respiratory function in previous studies, but the relationship between RCI and stroke, remained a mystery. The present study aimed to probe the association between RCI at 24‐hr and 3‐month mortality and functional outcomes among acute ischemic stroke (AIS) patients treated with recombinant tissue plasminogen activator (r‐tPA). Methods A total of 217 AIS patients between January 2016 and January 2019 were recruited in this retrospective study. AIS patients were grouped in terms of RCI tertiles. Predictive factors were confirmed via multivariate logistic regression analysis. The receiver operating characteristic (ROC) was used to assess the ability of RCI in predicting mortality. In addition, the risk of 3‐month all‐cause mortality was evaluated by Cox proportional hazard model. Results We grouped AIS patients into tertiles with the purpose of comparing clinical factors and RCI levels. Multivariate logistic regression analysis presented that RCI (odds ratio [OR] = 1.443, 95% confidence interval [CI] [1.167–1.786], p = 0.001) was an independent biomarker for 3‐month all‐cause mortality. The best cutoff value of RCI was 2.41 (area under the curve [AUC] = 0.639, 95% CI [0.501–0.778], p = .032), with a sensitivity of 40.9% and a specificity of 89.7%. Cox survival analysis demonstrated a positive significant correlation between RCI (hazard ratio [HR] = 1.332, 95% CI [1.148–1.545], p < .001) and mortality risk. Conclusion RCI, a potential predictor, was significantly associated with 3‐month mortality in AIS patients with r‐tPA.
ISSN:2162-3279