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

Author:

Mufumba Ivan1ORCID,Kazinga Caroline1,Namazzi Ruth12ORCID,Opoka Robert O12ORCID,Batte Anthony13ORCID,Bond Caitlin4ORCID,John Chandy C45ORCID,Conroy Andrea L45ORCID

Affiliation:

1. CHILD Laboratory, Global Health Uganda, Kampala, Uganda

2. Department of Pediatrics, Makerere University College of Health Sciences, Kampala, Uganda

3. Child Health and Development Center, Makerere University College of Health Sciences , Kampala , Uganda

4. Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine

5. Center for Global Health, Indiana University , Indianapolis

Abstract

Abstract Background Malaria 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. Methods We 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). Results Mortality 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). Conclusions sTREM-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.

Funder

National Institute of Neurological Disorders and Stroke

National Institute of Neurological Disorders and Stroke of the National Institutes of Health

Fogarty International Center

National Institute of Allergy and Infectious Diseases of the National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

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