An algorithm based on the postoperative decrease of albumin (ΔAlb) to anticipate complications after liver surgery.

Détails

Ressource 1Télécharger: s13741-022-00285-w.pdf (1266.15 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_4DF14311052A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
An algorithm based on the postoperative decrease of albumin (ΔAlb) to anticipate complications after liver surgery.
Périodique
Perioperative medicine
Auteur⸱e⸱s
Labgaa Ismail, Cano L., Mangana O., Joliat G.R., Melloul E., Halkic N., Schäfer M., Vibert E., Demartines N., Golse N., Hübner M.
ISSN
2047-0525 (Print)
ISSN-L
2047-0525
Statut éditorial
Publié
Date de publication
09/11/2022
Peer-reviewed
Oui
Volume
11
Numéro
1
Pages
53
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
Perioperative decrease of albumin (ΔAlb) appeared as a promising predictor of complications after digestive surgery, but its role after liver surgery remains unclear. This study aimed to analyze whether and how ΔAlb can be used to predict complications after liver surgery.
A bicentric retrospective analysis of patients undergoing liver surgery (2010-2016) was performed, following TRIPOD guidelines. The preoperative and postoperative difference of albumin was calculated on POD 0 and defined as ΔAlb. Patients with any missing variable were excluded. The primary endpoint was overall complications according to the Clavien classification. A multiparametric algorithm based on ΔAlb was generated to optimize prediction performance.
A total of 110 patients were analyzed. At least one complication occurred in 66 (60%) patients. Patients with and without complication showed a ΔAlb of 15.8 vs. 9.5 g/L (p<0.001). Area under ROC curve (AUC) of ΔAlb was 0.75 (p<0.01.). The ΔAlb-based algorithm showed an AUC of 0.84 (p<0.01), significantly improving performance (p=0.03). Multivariable analysis identified ΔAlb as independent predictor of complications (HR, 1.12; 95% CI, 1.01-1.07; p = 0.002).
ΔAlb appeared as a promising predictor independently associated with the risk of complication after liver surgery. The study presents a novel decision-tree based on ΔAlb to anticipate complications.
Mots-clé
General Chemical Engineering, Biomarkers, Decision-making, Liver resection, Morbidity, Partial hepatectomy, Predictors
Pubmed
Web of science
Open Access
Oui
Création de la notice
05/12/2022 14:25
Dernière modification de la notice
10/02/2024 7:15
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