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Sarcopenic Obesity Is Associated with Severe Postoperative Complications in Gastric Cancer Patients Undergoing Gastrectomy: a Prospective Study
Authors:Wei-teng Zhang  Ji Lin  Wei-sheng Chen  Yun-shi Huang  Rui-sen Wu  Xiao-dong Chen  Neng Lou  Chu-huai Chi  Chang-yuan Hu  Xian Shen
Affiliation:1.Department of Gastrointestinal Surgery, The First Affiliated Hospital,Wenzhou Medical University,Wenzhou,China;2.Department of Gastrointestinal Surgery, The Second Affiliated Hospital,Wenzhou Medical University,Wenzhou,China
Abstract:

Objective

This study aimed to determine the risk of severe postoperative complications (SPCs) in patients with gastric cancer and to construct a nomogram based on independently related factors to identify high-risk patients.

Methods

We conducted a prospective study of 636 consecutive patients with gastric cancer who underwent radical gastrectomy. Degrees of sarcopenia and obesity were calculated before surgery. Factors contributing to SPCs were determined using univariate and multivariate analysis. A nomogram consisting of the independent risk factors was constructed to quantify the individual risk of SPCs.

Results

Logistic analysis revealed that sarcopenic obesity, age, open surgery, and combined resection were independent prognostic factors for SPCs. Sarcopenic obese patients have the highest risk in all patients (sarcopenic obesity vs normal, OR?=?6.575 p?=?0.001; sarcopenic obesity vs obesity, OR?=?5.833 p?=?0.001; sarcopenic obesity vs sarcopenia, OR?=?2.571 p?=?0.032), while obese patients share the similar rate of SPCs with normal people (obesity vs normal, OR?=?1.056 p?=?0.723). The nomogram we constructed was able to quantify the risk of SPCs reliably (c-index, 0.737).

Conclusions

Sarcopenic obesity, together with age, open surgery, and combined resection are independent predictors of SPCs. Obesity will significantly increase the risk of SPCs in sarcopenic patient with gastric cancer, but it will not bring higher risk to normal patients. Our nomogram is a simple and practical instrument to identify patients at high risk of surgical complications.
Keywords:
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