Matteo Serenari1, Kwang-Hyub Han2, Federico Ravaioli3, Seung-Up Kim2, Alessandro Cucchetti1, Dai-Hoon Han4, Federica Odaldi1, Matteo Ravaioli1, Davide Festi3, Antonio Daniele Pinna1, Matteo Cescon5. 1. Department of Medical and Surgical Sciences, General Surgery and Transplantation Unit, University of Bologna, Italy. 2. Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea; Yonsei Liver Centre, Severance Hospital, Seoul, Korea. 3. Department of Medical and Surgical Sciences, Gastroenterology Unit, University of Bologna, Italy. 4. Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea. 5. Department of Medical and Surgical Sciences, General Surgery and Transplantation Unit, University of Bologna, Italy. Electronic address: matteo.cescon@unibo.it.
Abstract
BACKGROUND & AIMS: Liver stiffness measurement (LSM), assessed by transient elastography (Fibroscan), has been demonstrated to predict post-hepatectomy liver failure in patients who undergo hepatic resection for hepatocellular carcinoma (HCC). However, other complications are also likely to be related to the underlying grade of liver fibrosis. Herein, we aimed to identify predictors of postoperative complications and to build and develop a novel nomogram able to identify patients at risk of developing severe complications. METHODS: Data from patients who underwent hepatectomy for HCC between 2006 and 2016 at 2 referral centres were retrospectively reviewed. All surgical complications were recorded and scored using the comprehensive complication index (CCI), ranging from 0 (uneventful course) to 100 (death). A CCI ≥26.2 was used as a threshold to define severe complications. RESULTS: During the study period, 471 patients underwent hepatic resection for HCC. Among them, 50 patients (10.6%) had a CCI ≥26.2. Age, model for end-stage liver disease (MELD) score and LSM values, together with serum albumin, were independent predictors of high CCI. The nomogram built on these variables was internally validated and showed good performance (optimism-corrected c-statistic = 0.751). A regression equation to predict the CCI was also established by multiple linear regression analysis: [LSM (kPa) × 0.254] + [age (years) × 0.118] + [MELD score (pt.) × 1.050] - [albumin (g/dl) × 2.395] - 3.639. CONCLUSION: A novel nomogram, combining LSM values, age and liver function tests provided an excellent preoperative prediction of high CCI in patients with resectable HCC. This predictive model could be used as a reference for clinicians and surgeons to help them in clinical decision-making. LAY SUMMARY: Liver stiffness measurement is increasingly being used to assess the degree of liver fibrosis in patients with cirrhosis and/or chronic hepatitis. Using Fibroscan, we developed a novel nomogram to predict severe complications following liver resection for hepatocellular carcinoma, according to the new comprehensive complication index. This tool could be used as a reference for clinicians and surgeons to help them in clinical decision-making.
BACKGROUND & AIMS:Liver stiffness measurement (LSM), assessed by transient elastography (Fibroscan), has been demonstrated to predict post-hepatectomy liver failure in patients who undergo hepatic resection for hepatocellular carcinoma (HCC). However, other complications are also likely to be related to the underlying grade of liver fibrosis. Herein, we aimed to identify predictors of postoperative complications and to build and develop a novel nomogram able to identify patients at risk of developing severe complications. METHODS: Data from patients who underwent hepatectomy for HCC between 2006 and 2016 at 2 referral centres were retrospectively reviewed. All surgical complications were recorded and scored using the comprehensive complication index (CCI), ranging from 0 (uneventful course) to 100 (death). A CCI ≥26.2 was used as a threshold to define severe complications. RESULTS: During the study period, 471 patients underwent hepatic resection for HCC. Among them, 50 patients (10.6%) had a CCI ≥26.2. Age, model for end-stage liver disease (MELD) score and LSM values, together with serum albumin, were independent predictors of high CCI. The nomogram built on these variables was internally validated and showed good performance (optimism-corrected c-statistic = 0.751). A regression equation to predict the CCI was also established by multiple linear regression analysis: [LSM (kPa) × 0.254] + [age (years) × 0.118] + [MELD score (pt.) × 1.050] - [albumin (g/dl) × 2.395] - 3.639. CONCLUSION: A novel nomogram, combining LSM values, age and liver function tests provided an excellent preoperative prediction of high CCI in patients with resectable HCC. This predictive model could be used as a reference for clinicians and surgeons to help them in clinical decision-making. LAY SUMMARY:Liver stiffness measurement is increasingly being used to assess the degree of liver fibrosis in patients with cirrhosis and/or chronic hepatitis. Using Fibroscan, we developed a novel nomogram to predict severe complications following liver resection for hepatocellular carcinoma, according to the new comprehensive complication index. This tool could be used as a reference for clinicians and surgeons to help them in clinical decision-making.