Evidence map›Paper›PMID 40659919›Full record

ArticleCanadian journal of anaesthesia = Journal canadien d'anesthesie2025

Prediction of acute kidney injury in the immediate postoperative period following liver resection: a retrospective cohort study.

Jihad Abou Jamous, Steve Ferreira Guerra, Ziad Haida, Éva Amzallag, Martin Girard, Simon Turcotte, François Martin Carrier

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Article in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Jihad Abou JamousDepartment of Anesthesiology and Pain Medicine, Université de Montréal, Montreal, QC, Canada.
Steve Ferreira GuerraHealth Innovation and Evaluation Hub, Centre de recherche du Centre hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada.
Ziad HaidaDepartment of Medicine, Centre hospitalier universitaire (CHU) de Québec-Université Laval, Quebec, QC, Canada.
Éva AmzallagHealth Innovation and Evaluation Hub, Centre de recherche du Centre hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada.
Martin GirardDepartment of Anesthesiology and Pain Medicine, Université de Montréal, Montreal, QC, Canada.
Simon TurcotteGeneral Surgery Division, Department of Surgery, Université de Montréal, Montreal, QC, Canada.
François Martin CarrierDepartment of Anesthesiology and Pain Medicine, Université de Montréal, Montreal, QC, Canada. francois.martin.carrier@umontreal.ca.ORCID 0000-0003-0310-0616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFollowing liver resection, acute kidney injury (AKI) is a frequent and potentially reversible complication. No predictive model of postoperative AKI following liver resection has assessed the role of oliguria in the postanesthesia care unit (PACU). Our objectives were 1) to estimate the association between PACU oliguria and AKI and to develop and internally validate a predictive model of postoperative AKI using variables available in the PACU and 2) to assess the additive predictive value of PACU urine output.

methodsWe conducted a retrospective cohort study of patients who underwent elective liver resection. Our primary outcome was the occurence of AKI within seven days after surgery. We used two sets of candidate predictors (17 and 11 variables, respectively) to develop a predictive model for postoperative AKI, including PACU urine output. We first calculated risk ratios (RR) with 95% confidence intervals (CIs) for different definitions of PACU oliguria. We then fitted multivariable logistic regression predictive models with a least absolute shrinkage and selection operator and reported optimism-corrected model performance properties.

resultsWe included 1,520 patients. Both the incidence of AKI within seven days after surgery and the prevalence of PACU oliguria, defined as a urine output < 0.5 mL·kg

conclusionOliguria in the PACU was associated with AKI within seven days after surgery. We developed predictive models for 7-day AKI following liver resection that had good performance properties.

Indexed as

Acute Kidney InjuryHepatectomyOliguriaPostoperative ComplicationsAdultAgedAnesthesia Recovery PeriodCohort StudiesFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedPostoperative PeriodPredictive Value of Testsacute kidney injuryliver resectionprediction modellingurine output

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.