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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.
- Source :
-
HPB : the official journal of the International Hepato Pancreato Biliary Association [HPB (Oxford)] 2024 Jul 25. Date of Electronic Publication: 2024 Jul 25. - Publication Year :
- 2024
- Publisher :
- Ahead of Print
-
Abstract
- Background: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.<br />Methods: Data on patients undergoing resection for HCC were obtained from an international, multi-institutional database between 2000 and 2020. Gradient boosted trees were utilized to construct predictive models.<br />Results: Among 962 patients who underwent HCC resection, the incidence of severe postoperative complications was 12.7% (n = 122); in-hospital mortality was 2.9% (n = 28). Models that exclusively used preoperative data achieved AUC values of 0.89 (95%CI 0.85 to 0.92) and 0.90 (95%CI 0.84 to 0.96) to predict severe complications and mortality, respectively. Models that combined preoperative and postoperative data achieved AUC values of 0.93 (95%CI 0.91 to 0.96) and 0.92 (95%CI 0.86 to 0.97) for severe morbidity and mortality, respectively. The SHAP algorithm demonstrated that the factor most strongly predictive of severe morbidity and mortality was postoperative day 1 and 3 albumin-bilirubin (ALBI) scores.<br />Conclusion: Incorporation of perioperative data including ALBI scores using ML techniques can help risk-stratify patients undergoing resection of HCC.<br />Competing Interests: Conflicts of interest None declared.<br /> (Copyright © 2024 International Hepato-Pancreato-Biliary Association Inc. Published by Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1477-2574
- Database :
- MEDLINE
- Journal :
- HPB : the official journal of the International Hepato Pancreato Biliary Association
- Publication Type :
- Academic Journal
- Accession number :
- 39098450
- Full Text :
- https://doi.org/10.1016/j.hpb.2024.07.415