A nomogram based on liver stiffness predicts postoperative complications in patients with hepatocellular carcinoma.
Aged
Carcinoma, Hepatocellular
/ surgery
Clinical Decision-Making
Elasticity
Elasticity Imaging Techniques
/ methods
Female
Follow-Up Studies
Hepatectomy
/ adverse effects
Humans
Liver
/ diagnostic imaging
Liver Function Tests
Liver Neoplasms
/ surgery
Male
Middle Aged
Nomograms
Postoperative Complications
/ diagnosis
Prognosis
Retrospective Studies
Severity of Illness Index
Complications
Hepatectomy
Hepatocellular carcinoma
Liver stiffness
Outcome
Journal
Journal of hepatology
ISSN: 1600-0641
Titre abrégé: J Hepatol
Pays: Netherlands
ID NLM: 8503886
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
received:
20
08
2019
revised:
16
04
2020
accepted:
17
04
2020
pubmed:
4
5
2020
medline:
16
11
2021
entrez:
4
5
2020
Statut:
ppublish
Résumé
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. 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. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 32360997
pii: S0168-8278(20)30276-2
doi: 10.1016/j.jhep.2020.04.032
pii:
doi:
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
855-862Commentaires et corrections
Type : CommentIn
Type : CommentIn
Type : CommentIn
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Informations de copyright
Copyright © 2020 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest The authors declare no conflicts of interest that pertain to this work. Please refer to the accompanying ICMJE disclosure forms for further details.