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An algorithm based on the postoperative decrease of albumin (Delta Alb) to anticipate complications after liver surgery
Ismail Labgaa, Luis Cano, Orsalia Mangana, Gaetan-Romain Joliat, Emmanuel Melloul, Nermin Halkic, Markus Schafer, Eric Vibert, Nicolas Demartines, Nicolas Golse, Martin Huebner

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

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

Background - 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. Methods - 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. Results - 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

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Document Information

Document Title An algorithm based on the postoperative decrease of albumin (Delta Alb) to anticipate complications after liver surgery
Author / Organization Ismail Labgaa, Luis Cano, Orsalia Mangana, Gaetan-Romain Joliat, Emmanuel Melloul, Nermin Halkic, Markus Schafer, Eric Vibert, Nicolas Demartines, Nicolas Golse, Martin Huebner
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-207351
Original Source Link Visit Source Page on hal.science »