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Impact of preoperative sarcopenia on postoperative complications and prognosis in patients undergoing robotic gastric cancer surgery: A propensity score matching study.
Ding, Ping'an; Wu, Haotian; Li, Tongkun; Wu, Jiaxiang; Yang, Li; Yang, Jiaxuan; Guo, Honghai; Tian, Yuan; Yang, Peigang; Meng, Lingjiao; Zhao, Qun.
Afiliação
  • Ding P; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Wu H; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Li T; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Wu J; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Yang L; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, China; The Department of CT/MRI,
  • Yang J; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Guo H; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Tian Y; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Yang P; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
  • Meng L; Research Center and Tumor Research Institute of the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
  • Zhao Q; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China; Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastr
Nutrition ; 123: 112408, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38513525
ABSTRACT

BACKGROUND:

Sarcopenia, defined as decreased muscle mass and function, correlates with postoperative morbidity and mortality in cancer surgery. However, sarcopenia's impact specifically following robotic gastrectomy for gastric cancer has not been clearly defined. This study aimed to determine the influence of sarcopenia on short- and long-term clinical outcomes after robotic gastrectomy for gastric cancer.

METHODS:

This retrospective study analyzed 381 gastric cancer patients undergoing robotic gastrectomy. Sarcopenia was diagnosed by preoperative computed tomography (CT) body composition analysis. Propensity score matching created 147 pairs of sarcopenia and nonsarcopenia patients for comparison. Outcomes included postoperative complications, survival, inflammatory markers, length of stay, intensive care unit (ICU) transfer, and readmissions.

RESULTS:

Sarcopenia patients exhibited significantly higher rates of overall (53.7% versus 21.1%, P < 0.001), serious (12.9% versus 4.1%, P = 0.007), and grade III-IV complications compared to nonsarcopenia pairs after matching. Sarcopenia independently predicted reduced 3-years overall (HR = 2.53, 95% CI 1.19-5.40, P = 0.016) and disease-free survival (HR = 1.99, 95% CI 1.09-3.66, P = 0.026). Sarcopenia patients also showed heightened postoperative leukocyte, neutrophil, platelet, platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte to lymphocyte ratio (MLR) levels alongside suppressed lymphocytes, monocytes, and neutrophil to lymphocyte ratio (NLR).

CONCLUSION:

Preoperative sarcopenia is correlated with increased postoperative complications and poorer long-term survival in gastric cancer patients undergoing robotic gastrectomy. Sarcopenia assessment can optimize preoperative risk stratification and perioperative management in this population.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Neoplasias Gástricas / Sarcopenia / Pontuação de Propensão / Procedimentos Cirúrgicos Robóticos / Gastrectomia Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Neoplasias Gástricas / Sarcopenia / Pontuação de Propensão / Procedimentos Cirúrgicos Robóticos / Gastrectomia Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article