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

被引:1
作者
Mufumba, Ivan [1 ]
Kazinga, Caroline [1 ]
Namazzi, Ruth [1 ,2 ]
Opoka, Robert O. [1 ,2 ]
Batte, Anthony [1 ,3 ]
Bond, Caitlin [4 ]
John, Chandy C. [4 ,5 ,6 ]
Conroy, Andrea L. [4 ,5 ,6 ]
机构
[1] Global Hlth Uganda, CHILD Lab, Kampala, Uganda
[2] Makerere Univ, Coll Hlth Sci, Dept Pediat, Kampala, Uganda
[3] Makerere Univ, Coll Hlth Sci, Child Hlth & Dev Ctr, Kampala, Uganda
[4] Indiana Univ Sch Med, Ryan White Ctr Pediat Infect Dis & Global Hlth, Indianapolis, IN USA
[5] Indiana Univ, Ctr Global Hlth, Indianapolis, IN USA
[6] Indiana Univ Sch Med, Dept Pediat, 1044 W Walnut St, Indianapolis, IN 46202 USA
基金
美国国家卫生研究院;
关键词
severe malaria; mortality; risk stratification; sTREM-1; acute kidney injury; CHILDREN; PATHOPHYSIOLOGY;
D O I
10.1093/infdis/jiad561
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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. Biomarkers represent promising tools to guide risk stratification of children with acute febrile illnesses and guide the rational allocation of resources. In this study, sTREM-1 was able to predict mortality using validated risk thresholds in children with severe malaria.
引用
收藏
页码:936 / 946
页数:11
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