Significant impact of cachexia index on the outcomes after hepatic resection for colorectal liver metastases
- PMID: 36338593
- PMCID: PMC9628226
- DOI: 10.1002/ags3.12578
Significant impact of cachexia index on the outcomes after hepatic resection for colorectal liver metastases
Abstract
Introduction: The purpose of this study was to investigate the relation between preoperative cachexia index (CXI) and long-term outcomes in patients with colorectal liver metastases (CRLM) after hepatic resection.
Method: In all,118 patients who underwent hepatic resection for CRLM were analyzed retrospectively. The relationship between CXI and the long-term outcomes in patients after hepatic resection was investigated. CXI was calculated based on preoperative skeletal muscle index, serum albumin level, and neutrophil-lymphocyte ratio.
Results: The multivariate analysis showed that extrahepatic lesion (hazard ratio [HR] 2.86, 95% confidence interval [CI] 1.48-5.53, P < .01) and high CXI (HR 0.44, 95% CI 0.20-0.98, P = .04) were independent and significant predictors of disease-free survival. Moreover, extrahepatic lesion (HR 2.32, 95% CI 1.03-5.22, P = .04), high CXI (HR 0.17, 95% CI 0.05-0.57, P < .01), and curability R 1 or 2 (HR 3.29, 95% CI 1.23-8.78, P = .02) were independent and significant predictors of overall survival.
Conclusion: CXI is a useful prognostic factor for disease-free survival and overall survival after hepatic resection in CRLM patients.
Keywords: cachexia; colorectal liver metastases; liver resection.
© 2022 The Authors. Annals of Gastroenterological Surgery published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Gastroenterological Surgery.
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References
-
- Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. - PubMed
-
- Katanoda K, Kamo K, Saika K, Matsuda T, Shibata A, Matsuda A, et al. Short‐term projection of cancer incidence in Japan using an age‐period interaction model with spline smoothing. Jpn J Clin Oncol. 2014;44(1):36–41. - PubMed
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