Evidence map›Paper›PMID 38078677›Full record

ArticleThe Journal of infectious diseases2024

sTREM-1: A Biomarker of Mortality in Severe Malaria Impacted by Acute Kidney Injury.

Ivan Mufumba, Caroline Kazinga, Ruth Namazzi, Robert O Opoka, Anthony Batte, Caitlin Bond, Chandy C John, Andrea L Conroy

Open access · greenAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Ivan MufumbaCHILD Laboratory, Global Health Uganda, Kampala, Uganda.ORCID 0000-0003-2742-325X
Caroline KazingaCHILD Laboratory, Global Health Uganda, Kampala, Uganda.
Ruth NamazziCHILD Laboratory, Global Health Uganda, Kampala, Uganda.ORCID 0000-0003-2459-6526
Robert O OpokaCHILD Laboratory, Global Health Uganda, Kampala, Uganda.ORCID 0000-0003-3240-2058
Anthony BatteCHILD Laboratory, Global Health Uganda, Kampala, Uganda.ORCID 0000-0001-7463-5277
Caitlin BondRyan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine.ORCID 0000-0001-5678-7832
Chandy C JohnRyan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine.ORCID 0000-0002-1634-1411
Andrea L ConroyRyan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine.ORCID 0000-0002-5328-6511
World Health Organization - Uganda · UGCenter for Global Health · USIndiana University School of Medicine

Funding

Severe Malaria And Risk to The Brain (SMART Brain)R01NS055349 · NINDS · UNIVERSITY OF MINNESOTA · PI Chandy C. John, Ruth Namazzi · 2008 to 2026
$11.2M
Malaria associated pathogenesis of chronic kidney disease (MAP-CKD)R01AI165946 · NIAID · INDIANA UNIVERSITY INDIANAPOLIS · PI Andrea L. Conroy · 2022 to 2026
$3.2M
Research training in infection, nutrition and neurodevelopment in UgandaD43TW010928 · FIC · INDIANA UNIVERSITY INDIANAPOLIS · PI Chandy C. John · 2018 to 2026
$1.9M
FIC NIH HHS D43 TW010928NIAID NIH HHS R01 AI165946NIH HHS R01NS055349NINDS NIH HHS R01 NS055349
6 · The paper itself

Abstract

backgroundMalaria is an important cause of mortality in African children. Identification of biomarkers to identify children at risk of mortality has the potential to improve outcomes.

methodsWe evaluated 11 biomarkers of host response in 592 children with severe malaria. The primary outcome was biomarker performance for predicting mortality. Biomarkers were evaluated using receiver operating characteristic (ROC) curve analysis comparing the area under the ROC curve (AUROC).

resultsMortality was 7.3% among children in the study with 72% of deaths occurring within 24 hours of admission. Among the candidate biomarkers, soluble triggering receptor expressed on myeloid cells 1 (sTREM-1) had the highest AUROC (0.78 [95% confidence interval, .70-.86]), outperforming several other biomarkers including C-reactive protein and procalcitonin. sTREM-1 was the top-performing biomarker across prespecified subgroups (malaria definition, site, sex, nutritional status, age). Using established cutoffs, we evaluated mortality across sTREM-1 risk zones. Among children with acute kidney injury, 39.9% of children with a critical-risk sTREM-1 result had an indication for dialysis. When evaluated relative to a disease severity score, sTREM-1 improved mortality prediction (difference in AUROC, P = .016).

conclusionssTREM-1 is a promising biomarker to guide rational allocation of clinical resources and should be integrated into clinical decision support algorithms, particularly when acute kidney injury is suspected.

Indexed as

Acute Kidney InjuryMalariaBiomarkersChildC-Reactive ProteinHumansTriggering Receptor Expressed on Myeloid Cells-1BiomarkersC-Reactive ProteinTriggering Receptor Expressed on Myeloid Cells-1acute kidney injurymortalityrisk stratificationsevere malariasTREM-1

Identifiers

PMID38078677
PMCPMC11011168
OpenAlexW4389546867

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.