¹û¶³Ó°Ôº

XClose

Institute for Global Health

Home
Menu

Developing a prognostic algorithm for non-severe pneumonia treatment failure

c king - developing a prognostic

Project Summary

Pneumonia is the second leading cause of death amongst childrenÌýglobally, with the highest burden in Africa. Early identification of children at risk of treatment failure in the community, and promptÌýreferral could lower mortality. A number of clinical markers have Ìýbeen independently associated with oral antibiotic failure inÌýchildhood pneumonia. This study aimed to develop a prognosticÌýmodel for fast-breathing pneumonia treatment failure in sub-Saharan Africa.Ìý

We prospectively followed a cohort of children (2-59 months),Ìýdiagnosed by community health workers (CHWs) with fast-breathing pneumonia using World Health Organisation integratedÌýcommunity case management guidelines. Cases were followed atÌýdays 5 and 14 by study data collectors, who assessed a range of pre-determined clinical features for treatment outcome. We built theÌýprognostic model using eight pre-defined parameters, usingÌýmultivariable logistic regression, validated through bootstrapping.Ìý

We assessed 1,542 cases of which 769 were included (32%Ìýineligible; 19% defaulted). The treatment failure rate was 15% atÌýday 5 and relapse was 4% at day 14. Concurrent malaria diagnosisÌý(OR: 1.62; 95% CI: 1.06, 2.47) and moderate malnutrition (OR: 1.88;Ìý95% CI: 1.09, 3.26) were associated with treatment failure. TheÌýmodel demonstrated poor calibration and discrimination (c-statistic:Ìý0.56). Ìý

This study suggests that it may be difficult to reliably predictÌýtreatment failure using clinical markers alone among children withÌýWHO fast-breathing pneumonia prescribed co-trimoxazole,Ìýalthough malaria and moderate malnutrition were important riskÌýfactors. Further work is needed to identify more accurate andÌýreliable referral algorithms for use by CWHs.