Prediction of acute cerebral infarction in patients with transient ischemic attack by different obesity indicators
10.3969/j.issn.1006-2483.2026.04.035
- VernacularTitle:不同肥胖指标对短暂性脑缺血发作患者发生急性脑梗死的预测
- Author:
Man ZHANG
1
;
Hu CHEN
2
;
Rui WANG
1
;
Yang LIU
3
;
Xiaohan SHI
1
;
Nini MA
1
;
Jing CHEN
2
Author Information
1. Military Personnel Healthcare Center, Tangdu Hospital, Air Force Medical University, Xi'an 710038, Shaanxi, China
2. Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an 710038, Shaanxi, China
3. Emergency Department, Tangdu Hospital, Air Force Medical University, 710038, Shaanxi Xi'an, China
- Publication Type:Journal Article
- Keywords:
Obesity;
Transient ischemic attack;
Acute cerebral infarction;
A body shape index;
Risk prediction
- From:
Journal of Public Health and Preventive Medicine
2026;37(4):169-172
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the predictive value of different obesity indicators on acute cerebral infarction in patients with transient ischemic attack (TIA). Methods A total of 310 patients with TIA admitted to Tangdu Hospital of Air Force Medical University from March 2022 to September 2025 were selected and classified into non-event group (276 cases) and cerebral infarction group (34 cases) based on acute cerebral infarction within 90 days. The basic data and obesity-related indicators [body mass index (BMI), waist-to-hip ratio, body adiposity index (BAI), conicity index (C-index) and a body shape index (ABSI were compared. Multivariate logistic regression analysis was utilized to screen the independent influencing factors. Receiver operating characteristic (ROC) curve was drawn to analyze the predictive efficiency. Results The age, proportions of concurrent hypertension and concurrent diabetes mellitus, ABCD2 score, waist-to-hip ratio, ABSI, C-index, BMI and BAI in the cerebral infarction group were older or higher than those in the non-event group, and the symptoms duration was longer (P<0.05). The above indicators were all related factors for acute cerebral infarction in patients with TIA within 90 days (P<0.05), and ABSI and ABCD2 score were independent influencing factors (P<0.05). The prediction model was manifested as Logit (P)=− 4.205 + 0.482 × ABCD2 score + 1.120 × ABSI × 100. ABSI and ABCD2 score had predictive value on the occurrence of acute cerebral infarction (P<0.05), and the predictive efficiency of combined model was higher than that of single indicator (P<0.05). Conclusion Among different obesity indicators, ABSI has the highest value on predicting recent acute cerebral infarction in TIA. The prediction model based on ABSI and ABCD2 score exhibits the best predictive efficiency.
