Ken Min Chin1, Ye Xin Koh2,3, Nicholas Syn1, Jin Yao Teo1,4, Brian K P Goh1,4, Peng Chung Cheow1,4, Yaw Fui Alexander Chung1,4, London Lucien Ooi1,4, Chung Yip Chan1,4, Ser Yee Lee1,4. 1. Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore. 2. Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore. koh.ye.xin@singhealth.com.sg. 3. Duke-National University of Singapore (NUS) Medical School Singapore, 8 College Road, Singapore, 169857, Singapore. koh.ye.xin@singhealth.com.sg. 4. Duke-National University of Singapore (NUS) Medical School Singapore, 8 College Road, Singapore, 169857, Singapore.
Abstract
BACKGROUND: Liver resection (LR) is the main modality of treatment for hepatocellular carcinoma (HCC) and colorectal liver metastasis (CRLM). Post-hepatectomy liver failure (PHLF) remains the most dreaded complication. We aim to create a prognostic score for early risk stratification of patients undergoing LR. METHODOLOGY: Clinical and operative data of 472 patients between 2000 and 2016 with HCC or CRLM undergoing major hepatectomy were extracted and analysed from a prospectively maintained database. PHLF was defined using the 50-50 criteria. RESULTS: Liver cirrhosis and fatty liver were histologically confirmed in 35.6% and 53% of patients. 4.7% (n = 22) of patients had PHLF. A 90-day mortality was 5.1% (n = 24). Pre-operative albumin-bilirubin score (p = 0.0385), prothrombin time (p < 0.0001) and the natural logarithm of the ratio of post-operative day 1 to pre-operative serum bilirubin (SB) (ln(POD1Bil/pre-opBil); p < 0.0001) were significantly independent predictors of PHLF. The PHLF prognostic nomogram was developed using these factors with receiver operating curve showing area under curve of 0.88. Excellent sensitivity (94.7%) and specificity (95.7%) for the prediction of PHLF (50-50 criteria) were achieved at cut-offs of 9 and 11 points on this model. This score was also predictive of PHLF according to PeakBil > 7 and International Study Group for Liver Surgery criteria, intensive care unit admissions, length of stay, all complications, major complications, re-admissions and mortality (p < 0.05). CONCLUSIONS: The PHLF nomogram ( https://tinyurl.com/SGH-PHLF-Risk-Calculator ) can serve as a useful tool for early identification of patients at high risk of PHLF before the 'point of no return'. This allows enforcement of closer monitoring, timely intervention and mitigation of adverse outcomes.
BACKGROUND: Liver resection (LR) is the main modality of treatment for hepatocellular carcinoma (HCC) and colorectal liver metastasis (CRLM). Post-hepatectomy liver failure (PHLF) remains the most dreaded complication. We aim to create a prognostic score for early risk stratification of patients undergoing LR. METHODOLOGY: Clinical and operative data of 472 patients between 2000 and 2016 with HCC or CRLM undergoing major hepatectomy were extracted and analysed from a prospectively maintained database. PHLF was defined using the 50-50 criteria. RESULTS:Liver cirrhosis and fatty liver were histologically confirmed in 35.6% and 53% of patients. 4.7% (n = 22) of patients had PHLF. A 90-day mortality was 5.1% (n = 24). Pre-operative albumin-bilirubin score (p = 0.0385), prothrombin time (p < 0.0001) and the natural logarithm of the ratio of post-operative day 1 to pre-operative serum bilirubin (SB) (ln(POD1Bil/pre-opBil); p < 0.0001) were significantly independent predictors of PHLF. The PHLF prognostic nomogram was developed using these factors with receiver operating curve showing area under curve of 0.88. Excellent sensitivity (94.7%) and specificity (95.7%) for the prediction of PHLF (50-50 criteria) were achieved at cut-offs of 9 and 11 points on this model. This score was also predictive of PHLF according to PeakBil > 7 and International Study Group for Liver Surgery criteria, intensive care unit admissions, length of stay, all complications, major complications, re-admissions and mortality (p < 0.05). CONCLUSIONS: The PHLF nomogram ( https://tinyurl.com/SGH-PHLF-Risk-Calculator ) can serve as a useful tool for early identification of patients at high risk of PHLF before the 'point of no return'. This allows enforcement of closer monitoring, timely intervention and mitigation of adverse outcomes.
Authors: Giovanni Marasco; Luigina Vanessa Alemanni; Antonio Colecchia; Davide Festi; Franco Bazzoli; Giuseppe Mazzella; Marco Montagnani; Francesco Azzaroli Journal: J Clin Med Date: 2021-05-08 Impact factor: 4.241