<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Valim C</submitter><funding>National Institute of Allergy and Infectious Diseases</funding><funding>Joint Global Health Trials</funding><funding>NIAID NIH HHS</funding><funding>National Institute for Health Research (NIHR)</funding><funding>Bill and Melinda Gates Foundation</funding><pagination>e046590</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8487183</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(9)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Clinically diagnosed pneumonia in children is a leading cause of paediatric hospitalisation and mortality. The aetiology is usually bacterial or viral, but malaria can cause a syndrome indistinguishable from clinical pneumonia. There is no method with high sensitivity to detect a bacterial infection in these patients and, as result, antibiotics are frequently overprescribed. Conversely, unrecognised concomitant bacterial infection in patients with malarial infections occur with omission of antibiotic therapy from patients with bacterial infections. Previously, we identified two combinations of blood proteins with 96% sensitivity and 86% specificity for detecting bacterial disease. The current project aimed to validate and improve these combinations by evaluating additi</pubmed_abstract><journal>BMJ open</journal><pubmed_title>Seeking diagnostic and prognostic biomarkers for childhood bacterial pneumonia in sub-Saharan Africa: study protocol for an observational study.</pubmed_title><pmcid>PMC8487183</pmcid><funding_grant_id>MC_EX_MR_R006121_1</funding_grant_id><funding_grant_id>BMGF OPP1138798</funding_grant_id><funding_grant_id>MR_R006121</funding_grant_id><funding_grant_id>R21AI140258</funding_grant_id><funding_grant_id>R21 AI140258</funding_grant_id><pubmed_authors>Golam S</pubmed_authors><pubmed_authors>Diaz AA</pubmed_authors><pubmed_authors>Ramirez J</pubmed_authors><pubmed_authors>Mackenzie GA</pubmed_authors><pubmed_authors>Valim C</pubmed_authors><pubmed_authors>Salaudeen R</pubmed_authors><pubmed_authors>Bassat Q</pubmed_authors><pubmed_authors>D'Alessandro U</pubmed_authors><pubmed_authors>Wiegand RC</pubmed_authors><pubmed_authors>Isa YS</pubmed_authors><pubmed_authors>de Jager W</pubmed_authors><pubmed_authors>Knol EF</pubmed_authors><pubmed_authors>Jammeh A</pubmed_authors><pubmed_authors>Olatunji YA</pubmed_authors><pubmed_authors>Moses MA</pubmed_authors><pubmed_authors>Kanyi S</pubmed_authors><pubmed_authors>Hibberd PL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Seeking diagnostic and prognostic biomarkers for childhood bacterial pneumonia in sub-Saharan Africa: study protocol for an observational study.</name><description>&lt;h4>Introduction&lt;/h4>Clinically diagnosed pneumonia in children is a leading cause of paediatric hospitalisation and mortality. The aetiology is usually bacterial or viral, but malaria can cause a syndrome indistinguishable from clinical pneumonia. There is no method with high sensitivity to detect a bacterial infection in these patients and, as result, antibiotics are frequently overprescribed. Conversely, unrecognised concomitant bacterial infection in patients with malarial infections occur with omission of antibiotic therapy from patients with bacterial infections. Previously, we identified two combinations of blood proteins with 96% sensitivity and 86% specificity for detecting bacterial disease. The current project aimed to validate and improve these combinations by evaluating additi</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Sep</publication><modification>2025-04-18T17:09:33.183Z</modification><creation>2022-02-11T12:06:08.397Z</creation></dates><accession>S-EPMC8487183</accession><cross_references><pubmed>34593486</pubmed><doi>10.1136/bmjopen-2020-046590</doi></cross_references></HashMap>