Evidence map›Paper›PMID 41333437›Full record

ArticleResearch square2025

Identification of acute kidney injury in African children with severe malaria: a multinational individual participant data meta-analysis.

Caitlin Bond, Anthony Batte, Folake Afolayan, Nicholas Anstey, Quique Bassat, Philip Bejon, James A Berkley, Rhys D R Evans, Stuart L Goldstein, Michael T Hawkes and 15 more

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Article in Research square, 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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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Caitlin BondIndiana University School of Medicine.
Anthony BatteMakerere University College of Health Sciences.
Folake AfolayanSUNY Upstate Medical University.
Nicholas AnsteyCharles Darwin University.
Quique BassatUniversitat de Barcelona.
Philip BejonUniversity of Oxford.
James A BerkleyUniversity of Oxford.
Rhys D R EvansUniversity College London.
Stuart L GoldsteinCincinnati Children's Hospital Medical Center.
Michael T HawkesUniversity of British Columbia.
Olayinka IbrahimUniversity of Global Health Equity.
Peace ImaniBaylor College of Medicine.
Chandy C JohnIndiana University School of Medicine.
Kevin C KainUniversity of Toronto.
Claire LiepmannIndiana University School of Medicine.
Kevin MarshUniversity of Oxford.
Ruth NamazziMakerere University College of Health Sciences.
Margaret NakuyaMakerere University College of Health Sciences.
Nicole O'BrienThe Ohio State University.
Lere P OluwadareUniversity College Hospital, Ibadan.
Robert O OpokaAga Khan University Medical College Africa.
Jonathan SserunkuumaMbarara University of Science and Technology.
Hunter WynkoopThe Ohio State University.
Andrea L ConroyIndiana University School of Medicine.
maKID Consortium

Funding

Malaria associated pathogenesis of chronic kidney disease (MAP-CKD)R01AI165946 · NIAID · INDIANA UNIVERSITY INDIANAPOLIS · PI Andrea L. Conroy · 2022 to 2026
$3.2M
Delineating the kidney brain axis in children with severe malaria (KID-BRAIN)K43TW012586 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI Anthony Batte · 2023 to 2026
$386k
FIC NIH HHS K43 TW012586NIAID NIH HHS R01 AI165946Wellcome Trust
6 · The paper itself

Abstract

Background: Historically, acute kidney injury (AKI) has been an underappreciated complication in children with severe malaria. We conducted an individual patient data meta-analysis to model the impact of AKI and its complications on inpatient mortality in African children hospitalized with malaria. Methods: Studies were identified using MEDLINE, EMBASE, Scopus, and PubMed with no language restrictions, as well as through outreach at scientific meetings. Investigators were contacted about participation in the study. Eligible studies included African children hospitalized with severe Results: We included 18 studies involving 8 countries and 13,528 children aged 3 months to 16 years over a 33-year period with 951 deaths (7%). The frequency of KDIGO-defined AKI was 47% (95% confidence interval: 46% to 48%), with 46% of children having KDIGO-defined Stage 1 AKI, 30% having Stage 2, and 23% having Stage 3 AKI. Overall, KDIGO-defined AKI was associated with a 2.87 increased odds of mortality (95% CI 2.28 to 3.61) with a monotonic increase in mortality across AKI stage. AKI was a robust risk factor for mortality across era, sex, region, and subgroups. The KDIGO AKI definition was operationalized using simplified age-based thresholds to support bedside recognition of AKI with comparable mortality performance. The WHO-defined AKI threshold (creatinine value > 3mg/dL) occurred in 3.4% (238) of children. All 238 cases identified by WHO criteria were classified as having AKI using KDIGO and age-based definitions, but WHO missed 93% (3059/3297) of additional AKI cases. Discussion: AKI was strongly associated with mortality in African children with severe malaria. Creatinine thresholds can be operationalized to facilitate early AKI recognition. These findings have clinical implications for the implementation of kidney-protective care and for enhanced monitoring of children with severe malaria. Other: Funded by National Institutes of Health (1R01AI165946), registered number PROSPERO (CRD42024560012).

Indexed as

acute kidney injuryAfricaKDIGOmeta-analysismortalitysevere malaria

Identifiers

PMID41333437
PMCPMC12668143

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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.