TB Research

A Prospective Evaluation of a Three-Gene Host Response Signature to Classify Tuberculosis Severity in Children

Sweetser B, Nkereuwem E, Nakafeero J, Gomez M, Wambi P, Nsereko M, Andama A, Ernst JD, et al. (12 authors)

Journal of the Pediatric Infectious Diseases Society · 2025-05

Abstract

Background Children with non-severe TB may benefit from short-course treatment, but point-of-care tools are needed to stratify disease severity. We prospectively evaluated the Cepheid Xpert MTB-Host Response (HR) prototype cartridge for distinguishing TB severity in children with pulmonary TB (PTB) in The Gambia and Uganda. Methods We included children Results Among 106 children, the median age was 4 years (IQR 1-7), 56.6% were female, and 13.2% were living with HIV. In all children with PTB, Xpert-HR achieved an AUC of 0.67 (95% CI 0.55-0.78), with 89.3% sensitivity (95% CI 71.8-97.7) and 29.5% specificity (95% CI 19.7-40.9, cutoff ≤ -0.60). By confirmation status, Xpert-HR approached the target accuracy in children with Confirmed TB, with 62.5% specificity (95% CI 24.5-91.5) at 91.7% sensitivity (95% CI 61.5-99.8, cut-off ≤ -1.349). Among children with Unconfirmed TB, specificity was lower (24.3%, 95% CI 14.8-36.0) at 93.8% sensitivity (95% CI 69.8-99.8, cutoff ≤ -0.450). Target accuracy was almost achieved in children 5-9 regardless of confirmation status (100% sensitivity [95% CI 71.5-100], 66.7% specificity [95% CI 43.0-85.4], cutoff ≤ -1.35), but specificity (28.2%, 95% CI 18.6-39.5) was lower for children Conclusions Xpert-HR approached the target accuracy to stratify PTB severity in older children and those with Confirmed TB but had lower specificity in children with Unconfirmed TB. Child-specific signatures may be needed to improve performance in younger children with paucibacillary disease.

MeSH terms

  • Humans
  • Mycobacterium tuberculosis
  • Tuberculosis, Pulmonary
  • Severity of Illness Index
  • Sensitivity and Specificity
  • Prospective Studies
  • ROC Curve
  • Child
  • Child, Preschool
  • Infant
  • Uganda
  • Gambia
  • Female
  • Male