Evidence map›Paper›PMID 39966171›Full record

ArticleIntensive care medicine2025

Persistent severe acute kidney injury is a major modifiable determinant of outcome during critical illness.

Hernando Gómez, Xinlei Chen, John S Minturn, Ivan E Saraiva, Natsumi Hamahata, Arsalan Zaidi, Ankit Sakhuja, Chung-Chou H Chang, Gilles Clermont, Alexander Zarbock and 1 more

Abstract read
In one paragraph

Article in Intensive care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hernando GómezProgram for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA. gomezh@upmc.edu.ORCID 0000-0001-5605-3513
Xinlei ChenDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, USA.
John S MinturnDepartment of Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, USA.
Ivan E SaraivaProgram for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Natsumi HamahataStraub Clinic and Hospital, Honolulu, USA.
Arsalan ZaidiProgram for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Ankit SakhujaDivision of Data Driven and Digital Medicine, Institute for Critical Care Medicine and The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, USA.
Chung-Chou H ChangDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Gilles ClermontProgram for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Alexander ZarbockDepartment of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital of Münster, Münster, Germany.
John A KellumProgram for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.

Funding

Multidisciplinary Training in Critical Care Outcomes ResearchT32HL007820 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Timothy D Girard, Jeremy M Kahn · 1996 to 2026
$6.4M
Using Novel Machine Learning Methods to Personalize Strategies for Prevention of Persistent AKI after Cardiac SurgeryK08DK131286 · NIDDK · WEST VIRGINIA UNIVERSITY · PI Ankit Sakhuja · 2022 to 2026
$774k
NHLBI NIH HHS T32 HL007820NHLBI NIH HHS T32HL007820NIDDK NIH HHS 7K08DK131286NIDDK NIH HHS K08 DK131286
6 · The paper itself

Abstract

rationaleMost cases of acute kidney injury (AKI) resolve within 72 h. However, a small number of patients with persistent severe AKI have significantly worse outcomes. We sought to describe the occurrence, impact on outcome and risk factors associated with persistent severe AKI in critically ill patients using a standardized definition.

methodsRetrospective cohort study, investigating critically ill patients admitted to one of 16 hospitals from October 2010 to June 2018. We defined persistent severe AKI as Kidney Disease: Improving Global Outcomes stage 2-3 AKI that progressed to and persisted at stage 3 for ≥ 72 h. Risk factors for persistent severe AKI and its association with outcomes were assessed using the super learner algorithm, integrating LASSO logistic regression and XGBoost, and multivariate logistic regression or Cox proportional hazards models, using no persistent severe AKI as the comparator. MEASUREMENTS AND MAIN

resultsOf 65,119/190,550 (34.2%) patients with stage 2-3 AKI, 8,059 (12.4%) had persistent severe AKI. Severe, early community-acquired AKI, high fluid balance, multiple organ dysfunction, sepsis and shock were important risk factors. Persistent severe AKI was associated with an increased risk of 90-day mortality (HR 1.5, 95% CI 1.4-1.6), hospital readmission (OR 2.0, 95% CI 1.8-2.3), and with a lower probability of renal recovery (OR 0.14, 95% CI 0.13, 0.15).

conclusionsPersistent severe AKI is an uncommon, but important complication in critically ill patients, associated with an increased risk of renal non-recovery, hospital readmission and death, and an important target for therapeutic development.

Indexed as

Acute Kidney InjuryCritical IllnessAgedCohort StudiesFemaleHospital MortalityHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsSeverity of Illness IndexAKI trajectoryCritical illnessRenal recoveryRenal replacement therapyRisk factors

Identifiers

PMID39966171
PMCPMC12812024

What OpenQuestion holds

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Registered trials

None linked

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.