国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

《国家中心数据管理与共享系统操作说明书 —— 研究者部分》

The FAITHS2 Model Predicts Functional Disability in Patients With Acute Ischemic Stroke

第一作者：Meng Wang,Ying Han

通讯作者：Hong-Qiu Gu,Zi-Xiao Li

FAITHS2 model; blood biomarker; functional disability; nomogram; prediction model; stroke.

基本信息

2024-05-22

已发表文章

发表杂志：Angiology

发表类型: Original Contributions

影响因子(IF): 2.6

PMID: 38775330 Pubmed原文链接 全文下载

主要研究背景及目的

123

方法

The present study aimed to develop a model to predict functional disability at 3 months in patients with acute ischemic stroke (AIS) (n = 5,406). The primary outcome was functional disability (modified Rankin Scale [mRS] >2) at 3 months. A prediction model including blood biomarkers was developed based on a multivariable logistic regression model, which was internally validated by the 100-time bootstrap method. A nomogram and a web-based calculator were developed for usage in clinical practice.

结论

The FAITHS2model has excellent potential to be a dependable application for individualized clinical decision making.

主要结果

At 3 months, 11% (638/5,406) of the patients had functional disability. Seven independent predictors of functional disability at 3 months were incorporated into the FAITHS2model (fasting plasma glucose, age, interleukin-6, stroke history, National Institute of Health Stroke Scale [NIHSS] at admission, sex, and systolic blood pressure). The Area Under Curves (AUCs) were 0.814 (95% confidence interval [CI] 0.796-0.832) and 0.808 (95% CI 0.806-0.810), and the Brier scores were 0.088 ± 0.214 and 0.089 ± 0.003 for the derivation cohort and internal validation, respectively, showing optimal performance of the model.