Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Development and validation of a model to predict cognitive impairment in traumatic brain injury patients: a prospective observational study

作者:Xiaofang Yuan, Qingrong Xu, Fengxia Du, Xiaoxia Gao, Jing Guo, Jianan Zhang, Yehuan Wu, Zhongkai Zhou, Youjia Yu, Yi Zhang · 发表于:EClinicalMedicine · 年份:2025 · DOI:10.1016/j.eclinm.2024.103023 · 被引用次数:31 · 研究领域:Traumatic Brain Injury Research、Traumatic Brain Injury and Neurovascular Disturbances、Intensive Care Unit Cognitive Disorders

Background: Traumatic brain injury (TBI) is a significant public health issue worldwide that affects millions of people every year. Cognitive impairment is one of the most common long-term consequences of TBI, seriously affect the quality of life. We aimed to develop and validate a predictive model for cognitive impairment in TBI patients, with the goal of early identification and support for those at risk of developing cognitive impairment at the time of hospital admission. Methods: The training cohort included 234 TBI patients, all of whom were admitted to the Department of Neurosurgery at the Third Affiliated Hospital of Soochow University from May 2017 to April 2020. These patients were selected from our previously published studies. Baseline characteristics, medical history, clinical TBI characteristics, treatment details, and vital signs during hospitalization were screened via least absolute shrinkage and selection operator (LASSO) and logistic regression to construct a predictive net risk score. The derived score represents an estimate of the risk of developing cognitive impairment in patients with TBI. A nomogram was constructed, and its accuracy and predictive performance were evaluated with the area under the receiver operating characteristic curve (AUC), calibration curves, and clinical decision curves. For the validation cohort, data were prospectively collected from TBI patients admitted to the Department of Neurosurgery at the Third Affiliated Hospital of Sooch...