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Frontiers in nutrition · 2026

The association between CT-assessed sarcopenic overweight, obesity and rupture abdominal aortic aneurysm: a cross-sectional analysis.

СтатьяНазвание и аннотация: Перевод в очереди
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Yao Jiashu, Zhang Yepeng, Wang Jie, Chen Wenqing, Li Xiangrui, Wu Guangyan, Zhou Min, Li Zhonghua, Gao Bo, Chen Xiaotian

Аннотация

OBJECTIVE: To investigate the associations of sarcopenic overweight and obesity with ruptured abdominal aortic aneurysm (rAAA).

METHODS: This cross-sectional study retrospectively enrolled 244 patients with abdominal aortic aneurysm (AAA) between January 2022 and December 2024 (mean age: 71.09 ± 10.59 years, mean BMI: 23.39 ± 3.40 kg/m2, men: 80.74%). Baseline clinical characteristics, computed tomography (CT) parameters, and laboratory results were collected. Sarcopenia was diagnosed using CT measured skeletal muscle index (SMI) measured at the third lumbar vertebral level (L3). Overweight and obesity were defined according to the World Health Organization (WHO) Asia-Pacific criteria (overweight: BMI ≥ 23 kg/m2; obesity: BMI ≥ 25 kg/m2). Patients were stratified into two group: non-ruptured AAA group (n = 191) and ruptured AAA group (n = 53). The associations of sarcopenia, overweight, obesity, and their interaction with rAAA were examined using two-factor logistic regression models.

RESULTS: Neither sarcopenia nor overweight alone showed a significant independent association with rAAA. Obesity was significantly associated with rAAA (odds ratio [OR] 2.15, 95% confidence interval [CI] 1.13 ~ 4.08, p = 0.020). In the two-factor logistic regression model, the interaction between sarcopenia and overweight was significantly associated with rAAA (OR = 3.86; 95% CI: 1.30 ~ 11.45; p = 0.015). A similar interaction was observed for sarcopenia and obesity (OR = 4.91; 95% CI: 1.57 ~ 15.34; p = 0.006).

CONCLUSION: Sarcopenic overweight and obesity were independently associated with rAAA. The coexistence of low muscle mass and excess adiposity, rather than either condition alone, was associated with higher odds of rupture. Integrating CT-derived skeletal muscle assessment with BMI may help identify patients with higher odds of rupture.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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