Acute undifferentiated febrile infection (AUFI) is a common presenting syndrome in low-resource settings and better diagnostics are urgently needed to improve patient management and guide disease prevention interventions. Assessment of the host gene expression response to infection in endemic populations has demonstrated significant promise as a new approach to identifying patients with enteric fever and for potential in differentiating between other causes of AUFI. Signatures identified through new data analytic techniques could be developed into a point-of-care test for use in endemic settings. In this multisite diagnostic evaluation study we will collect prospective clinical, laboratory and diagnostic data from two endemic settings to evaluate host gene expression signatures for detecting enteric fever and for determining the cause of AUFI in LMIC settings.
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Sensitivity and specificity (AUROC) of a diagnostic score derived from transcriptional responses by a 5-gene transcription signature (STAT1, SLAMF8, PSME2, WARS, ALDH1A1) in classifying patients with blood culture-confirmed enteric fever.
Timeframe: 2.5 years