Preoperative sarcopenia and postoperative accelerated muscle loss negatively impact survival after resection of locally advanced gastric cancer

术前肌少症和术后加速肌肉丢失会对局部晚期胃癌切除术后的生存率产生负面影响。

阅读:4

Abstract

BACKGROUND: Gastric cancer remains a major health concern worldwide, with locally advanced gastric cancer (LAGC) posing significant challenges due to frequent lymph node metastasis and poor prognosis. While curative gastrectomy with D2 lymph node dissection is the standard treatment, sarcopenia and perioperative skeletal muscle loss (SML) have emerged as critical prognostic factors. METHODS: We retrospectively analyzed 198 LAGC patients who underwent curative gastrectomy. Preoperative and postoperative sarcopenia were assessed via computed tomography (CT)-derived skeletal muscle index (SMI) at the L3 level. SML was defined based on sex-specific thresholds of SMI changes (%/30 days). Prognostic significance for overall survival (OS) and disease-free survival (DFS) was evaluated using Kaplan-Meier and Cox regression analyses. RESULTS: The prevalence of sarcopenia increased from 23.7% preoperatively to 33.3% postoperatively. Patients with significant muscle loss (SML) showed worse OS and DFS compared to non-SML patients (P < 0.05). SML was also associated with a higher incidence of Clavien-Dindo grade ≥ 3a complications (P < 0.05). Multivariate analysis identified preoperative sarcopenia (HR = 2.332, P = 0.001), postoperative sarcopenia (HR = 3.189, P = 0.011), and SML (HR = 11.231, P = 0.002) as independent risk factors for OS. Adjuvant chemotherapy significantly improved both OS (HR = 0.532, P = 0.015) and DFS (HR = 0.587, P = 0.041). CONCLUSIONS: Both preoperative sarcopenia and perioperative SML may negatively impact postoperative prognosis in LAGC patients, suggesting that perioperative evaluation of skeletal muscle mass may help identify high-risk surgical candidates for targeted interventions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。