Predictors of complications after liver surgery: a systematic review of the literature.


Journal

HPB : the official journal of the International Hepato Pancreato Biliary Association
ISSN: 1477-2574
Titre abrégé: HPB (Oxford)
Pays: England
ID NLM: 100900921

Informations de publication

Date de publication:
05 2021
Historique:
received: 18 09 2020
revised: 21 11 2020
accepted: 11 12 2020
pubmed: 25 1 2021
medline: 27 1 2022
entrez: 24 1 2021
Statut: ppublish

Résumé

Numerous potential predictors of adverse outcomes have been reported but their performance and utilization in practice seem heterogenous. This study aimed to systematically review the literature on the role and value of predictors of complications after hepatectomy. A systematic review following the PRISMA guidelines was performed. Studies on liver transplant were excluded. Only studies assessing overall or major complications were included. A total of 10'965 abstracts were screened. After application of exclusion criteria, 72 articles including 68'480 patients were included. A total of 72 markers with 48 pre-, 9 intra- and 15 postoperative factors were identified as predictors of complications. Preoperative and intraoperative predictive markers retrieved several times with the highest odds ratios (OR) were ASA score (OR range: 1.3-7.5, significant in 8 studies) and intraoperative need for red blood cell transfusion (OR range: 1.2-17.1, significant in 24 studies), respectively. Numerous markers have been described to predict the complication risk after hepatectomy. Because of their intrinsic characteristics, most markers such as ASA score and need for red blood cell transfusion are of limited clinical interest. There is a clear need to identify new biomarkers and to develop scores that could easily be implemented in clinical practice.

Sections du résumé

BACKGROUND
Numerous potential predictors of adverse outcomes have been reported but their performance and utilization in practice seem heterogenous. This study aimed to systematically review the literature on the role and value of predictors of complications after hepatectomy.
METHODS
A systematic review following the PRISMA guidelines was performed. Studies on liver transplant were excluded. Only studies assessing overall or major complications were included.
RESULTS
A total of 10'965 abstracts were screened. After application of exclusion criteria, 72 articles including 68'480 patients were included. A total of 72 markers with 48 pre-, 9 intra- and 15 postoperative factors were identified as predictors of complications. Preoperative and intraoperative predictive markers retrieved several times with the highest odds ratios (OR) were ASA score (OR range: 1.3-7.5, significant in 8 studies) and intraoperative need for red blood cell transfusion (OR range: 1.2-17.1, significant in 24 studies), respectively.
CONCLUSION
Numerous markers have been described to predict the complication risk after hepatectomy. Because of their intrinsic characteristics, most markers such as ASA score and need for red blood cell transfusion are of limited clinical interest. There is a clear need to identify new biomarkers and to develop scores that could easily be implemented in clinical practice.

Identifiants

pubmed: 33485797
pii: S1365-182X(20)32405-9
doi: 10.1016/j.hpb.2020.12.009
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

645-655

Informations de copyright

Copyright © 2020 International Hepato-Pancreato-Biliary Association Inc. Published by Elsevier Ltd. All rights reserved.

Auteurs

Gregoire Longchamp (G)

Division of Digestive Surgery, University Hospital of Geneva, Geneva, Switzerland.

Ismail Labgaa (I)

Department of Visceral Surgery, Lausanne University Hospital CHUV, Lausanne, Switzerland.

Nicolas Demartines (N)

Department of Visceral Surgery, Lausanne University Hospital CHUV, Lausanne, Switzerland. Electronic address: demartines@chuv.ch.

Gaëtan-Romain Joliat (GR)

Department of Visceral Surgery, Lausanne University Hospital CHUV, Lausanne, Switzerland.

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Classifications MeSH