CT-Assessed Sarcopenia and Obesity in Abdominal Aortic Aneurysm Patients, 2022-2024
by Jiashu Yao·Updated 11d ago
280.8 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
A cross-sectional study of 244 patients with abdominal aortic aneurysm (AAA) from January 2022 to December 2024, with a mean age of 71.09 years and 80.74% men. The dataset, authored by Jiashu Yao and shared on figshare, investigates associations between CT-measured sarcopenia, BMI-defined overweight/obesity, and ruptured AAA. It includes baseline clinical characteristics, CT parameters, and laboratory results for non-ruptured (n=191) and ruptured (n=53) patient groups.
Use Cases
Train logistic regression models to predict aneurysm rupture risk based on the interaction between sarcopenia and obesity.
Analyze the association between CT-derived skeletal muscle index (SMI) and clinical outcomes in vascular patients.
Study body composition phenotypes (sarcopenic overweight/obesity) as a composite risk factor for surgical emergencies.
Strengths
Dataset includes 244 patient records with specific demographic details (mean age 71.09, mean BMI 23.39).
Clinical variables are well-defined, including CT-measured skeletal muscle index and WHO Asia-Pacific BMI criteria.
Results include specific statistical associations, such as an odds ratio of 4.91 for the interaction between sarcopenia and obesity.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Data may reflect temporal and selection bias inherent to the single-center, retrospective study design.