Evidence map›Paper›PMID 41068032›Full record

ArticleBritish journal of anaesthesia2026

Risk factors, outcomes, and early prediction of cardiac surgery-associated acute kidney injury: a post hoc subgroup analysis of the Epidemiology of Surgery Associated Acute Kidney Injury study.

Christian Strauß, Felix Albert, Eike Bormann, Daniel T Engelman, Rinaldo Bellomo, Alexander Zarbock, EPIS-AKI investigators

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Article in British journal of anaesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Christian StraußDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Muenster, Germany.
Felix AlbertInstitute of Biostatistics and Clinical Research, University of Münster, Muenster, Germany.
Eike BormannInstitute of Biostatistics and Clinical Research, University of Münster, Muenster, Germany.
Daniel T EngelmanHeart & Vascular Program, Baystate Health, University of Massachusetts Chan Medical School-Baystate, Springfield, MA, USA.
Rinaldo BellomoDepartment of Intensive Care, Austin Hospital, Melbourne, Australia; Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC, Australia.
Alexander ZarbockDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Muenster, Germany. Electronic address: zarbock@uni-muenster.de.
EPIS-AKI investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac surgery-associated acute kidney injury (CSA-AKI) is a common and important complication. The risk factors for CSA-AKI remain poorly described. We aimed to identify risk factors for CSA-AKI and develop a risk score for persistent CSA-AKI.

methodsWe performed a post hoc subgroup analysis restricted to patients who underwent cardiac surgery within the Epidemiology of Surgery Associated Acute Kidney Injury (EPIS-AKI) study. CSA-AKI was defined as AKI (according to the Kidney Disease: Improving Global Outcomes criteria) within 72 h after surgery. Persistent CSA-AKI was defined as CSA-AKI lasting >48 h. We performed multivariable logistic regression analyses to identify risk factors for CSA-AKI and related outcomes.

resultsThe original EPIS-AKI study included 3101 cardiac surgery patients. Of these, 802 (25.9%) developed CSA-AKI. On follow-up, 279 of the 802 patients (34.8%) developed persistent CSA-AKI. We identified independent risk factors for CSA-AKI, moderate/severe CSA-AKI, and persistent CSA-AKI. Patients with persistent CSA-AKI had a higher ICU and hospital mortality compared with patients with transient CSA-AKI. We developed a risk score for predicting persistent CSA-AKI with an area under the receiver operating characteristic curve of 0.79 (95% confidence interval, 0.7355-0.8457).

conclusionsOverall, 25% of cardiac surgery patients developed cardiac surgery-associated acute kidney injury, and 33% of these patients experienced persistent cardiac surgery-associated acute kidney injury, which was associated with poor outcomes. We developed a risk score for predicting persistent cardiac surgery-associated acute kidney injury, the 'EPIS CSA-AKI risk score'. Pending further external validation, the score might be used to identify patients who have a high risk for developing persistent cardiac surgery-associated acute kidney injury.

Indexed as

Acute Kidney InjuryCardiac Surgical ProceduresPostoperative ComplicationsAgedFemaleHospital MortalityHumansMaleMiddle AgedRisk AssessmentRisk FactorsTreatment Outcomeacute kidney injurycardiac surgerycardiac surgery-associated acute kidney injurypersistent acute kidney injuryrenal failure

Identifiers

PMID41068032
PMCPMC12851876

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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.