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Original Research

Correlation Between Basal Metabolic Rate and Clinical Outcomes in Gastric Cancer Patients: A Retrospective Study

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Article: 2350358 | Received 27 Dec 2023, Accepted 27 Apr 2024, Published online: 09 May 2024
 

Abstract

Objectives

Hypermetabolism is associated with clinical prognosis of cancer patients. The aim of this study was to explore the association between basal metabolic rate (BMR) and postoperative clinical outcomes in gastric cancer patients.

Methods

We collected data of 958 gastric cancer patients admitted at our center from June 2014 to December 2018. The optimal cutoff value of BMR (BMR ≤1149 kcal/day) was obtained using the X-tile plot. Logistic and Cox regression analyses were then performed to evaluate the relevant influencing factors of clinical outcomes. Finally, R software was utilized to construct the nomogram.

Results

A total of 213 patients were defined as having a lower basal metabolic rate (LBMR). Univariate and multivariate analyses showed that gastric cancer patients with LBMR were more prone to postoperative complications and had poor long-term overall survival (OS). The established nomogram had good predictive power to assess the risk of OS in gastric cancer patients after radical gastrectomy (c-index was 0.764).

Conclusions

Overall, LBMR on admission is associated with the occurrence of postoperative complications in gastric cancer patients, and this population has a poorer long-term survival. Therefore, there should be more focus on the perioperative management of patients with this risk factor before surgery.

Acknowledgements

Thanks to all the authors who contributed to this article. No funding source was involved in the study.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Author Contributions

Yun-Shi Huang: project development, data acquisition, telephone interview, statistical analysis, manuscript writing/editing; Wei-Sheng Chen: data acquisition, telephone interview, statistical analysis, manuscript writing; Xiu-Ya Zeng and Wen-Tao Cai: project development, data acquisition, statistical analysis, manuscript writing/editing. All authors made final approval of the version to be published and agree that for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Disclosure Statement

No potential conflict of interest was reported by the author(s).