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Peri-operative metabolomic alterations predict post-operative complications and hospital stay in colorectal cancer patients.

International journal of surgery (London, England) 2025

Liu XY, Shu XP, Shen Y, Hai ZX, Wang L, Xiang CY, Zhao JN, Li SQ, Kang B, Peng D

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[PURPOSE] This study aimed to explore whether the peri-operative metabolomics correlates with post-operative complications and hospital stay in colorectal cancer (CRC) patients.

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APA Liu XY, Shu XP, et al. (2025). Peri-operative metabolomic alterations predict post-operative complications and hospital stay in colorectal cancer patients.. International journal of surgery (London, England). https://doi.org/10.1097/JS9.0000000000004500
MLA Liu XY, et al.. "Peri-operative metabolomic alterations predict post-operative complications and hospital stay in colorectal cancer patients.." International journal of surgery (London, England), 2025.
PMID 41376476

Abstract

[PURPOSE] This study aimed to explore whether the peri-operative metabolomics correlates with post-operative complications and hospital stay in colorectal cancer (CRC) patients.

[MATERIALS AND METHODS] In this observational study, we collected information of the CRC patients enrolled from Jan 2024 to Dec 2024. We evaluated the pre-operative and ratios of post-operative to pre-operative metabolomic profiles to investigate their associations with post-operative complications and length of hospital stay. Logistic regression and linear regression were used to find independent indicators for post-operative complications and length of hospital stay.

[RESULTS] A total of 243 CRC patients was included in this study. Prolonged surgical time, comorbidity of hypertension, increased tumor size, pre-operative 2-Aminobutyric acid, pre-operative glucose, higher levels of creatine ratio and H2TG ratio were independently associated with a higher risk of post-operative complications. As for post-operative hospital stay, surgical time, V3PL ratio, L4TG ratio, and 2-Hydroxybutyric acid ratio were independent predictors. Moreover, integrating both clinical and metabolic profiles demonstrated the best predictive performance for post-operative complications, and length of hospital stay.

[CONCLUSION] Peri-operative metabolomics were significantly associated with post-operative complications and hospital stay in CRC patients. Integrating metabolic biomarkers with clinical parameters demonstrated the best predictive performance.

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