Details

Autor(en) / Beteiligte

• Wang, Meng
• Han, Ying
• Zhou, Qi
• Wang, Chun-Juan
• Meng, Xia
• Jiang, Yong
• Yang, Xin
• Zhang, Jing
• Xiong, Yun-Yun
• Zhao, Xing-Quan
• Liu, Li-Ping
• Wang, Yi-Long
• Wang, Yong-Jun
• Gu, Hong-Qiu
• Li, Zi-Xiao

Titel

The FAITHS 2 Model Predicts Functional Disability in Patients With Acute Ischemic Stroke

Ist Teil von

• Angiology, 2024-05, p.33197241253313

Ort / Verlag

United States

Erscheinungsjahr

2024

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The present study aimed to develop a model to predict functional disability at 3 months in patients with acute ischemic stroke (AIS) ( = 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. 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 FAITHS model (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. The FAITHS model has excellent potential to be a dependable application for individualized clinical decision making.