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Sarcopenia assessed by computed tomography is associated with colectomy in patients with acute severe ulcerative
Xiaolong Ge1, Jingya Xia2, Yan Wu3
1Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310016, China.
Background:
Altered body composition is an important characteristic of malnutrition that may better reflect the clinical course. This study aimed to evaluate the prognostic role of sarcopenia by computed tomography (CT) on colectomy in acute severe ulcerative colitis (ASUC) during index hospitalization and follow-up.
Methods:
254 ASUC patients undergoing CT scans at admission were retrospectively included. Sarcopenia was assessed by the skeletal muscle index (SMI) with CT scans at L3, and patients with an SMI below the lowest sex-specific quartile were diagnosed with sarcopenia. Body mass index (BMI) < 18.5 kg/m2 was defined as clinical malnutrition. Univariate and multivariate analyses were performed to determine the association between sarcopenia and colectomy.
Results:
The prevalence of sarcopenia in ASUC was 50.0%, and malnutrition was 25.2%. Among sarcopenic patients, 36.2% was malnutrition, 51.2% had normal BMI, 11.8% was overweight, and 0.8% was obese. During index hospitalization, 66.9% patients needed rescue therapy with 52.4% received medical rescue therapy and 14.6% received colectomy. During follow-up, 33.2% patients needed colectomy. Significantly more sarcopenic patients required colectomy (22.0% vs 7.1%, p = 0.001) and rescue therapy (81.9% vs 52.0%, p < 0.001) during index hospitalization and colectomy during follow-up (44.4% vs 23.7%, p = 0.001) than non-sarcopenic patients. However, BMI < 18.5 kg/m2 was not related to the clinical course. In multivariate analyses, sarcopenia remained an independent risk factor for rescue therapy and colectomy during index hospitalization and colectomy during follow-up.
Conclusion:
Sarcopenia rather than BMI was associated with clinical outcomes in ASUC and played an important role in predicting the need for colectomy.
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