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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/794
Title: Rapid clinical assessment to facilitate the triage of adults with falciparum malaria, a retrospective analysis.
Authors: Hanson, Josh
Lee, Sue J.
Mohanty, Sanjib
Faiz, M. Abul
Anstey, Nicholas M.
Price, Ric N.
Prakaykaew Charunwatthana
ประกายแก้ว จรูญวรรธนะ
Yunus, Emran Bin
Mishra, Saroj K.
Tjitra, Emiliana
Ridwanur Rahman
Francois Nosten
Htut, Ye
Maude, Richard J.
Chau, Tran Thi Hong
Phu, Nguyen Hoan
Hien, Tran Tinh
White, Nicholas J.
Day, Nicholas P. J.
Dondorp, Arjen M.
Mahidol University. Faculty of Tropical Medicine. Mahidol Oxford Tropical Medicine Research Unit.
Hanson, Josh
Keywords: Algorithms;Malaria, falciparum;Patient selection;Open Access article
Issue Date: 29-Jan-2014
Citation: Hanson J, Lee SJ, Mohanty S, Faiz MA, Anstey NM, Price RN, et al. Rapid clinical assessment to facilitate the triage of adults with falciparum malaria, a retrospective analysis. PLoS One. 2014 Jan 29;9(1):e87020.
Abstract: BACKGROUND: Most adults dying from falciparum malaria will die within 48 hours of their hospitalisation. An essential component of early supportive care is the rapid identification of patients at greatest risk. In resource-poor settings, where most patients with falciparum malaria are managed, decisions regarding patient care must frequently be made using clinical evaluation alone. METHODS: We retrospectively analysed 4 studies of 1801 adults with severe falciparum malaria to determine whether the presence of simple clinical findings might assist patient triage. RESULTS: If present on admission, shock, oligo-anuria, hypo- or hyperglycaemia, an increased respiratory rate, a decreased Glasgow Coma Score and an absence of fever were independently predictive of death. The variables were used to construct a simple clinical algorithm. When applied to the 1801 patients, this algorithm's positive predictive value for survival to 48 hours was 99.4 (95% confidence interval (CI) 97.8-99.9) and for survival to discharge 96.9% (95% CI 94.3-98.5). In the 712 patients receiving artesunate, the algorithm's positive predictive value for survival to 48 hours was 100% (95% CI 97.3-100) and to discharge was 98.5% (95% CI 94.8-99.8). CONCLUSIONS: Simple clinical findings are closely linked to the pathophysiology of severe falciparum malaria in adults. A basic algorithm employing these indices can facilitate the triage of patients in settings where intensive care services are limited. Patients classified as low-risk by this algorithm can be safely managed initially on a general ward whilst awaiting senior clinical review and laboratory data.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/794
metadata.dc.identifier.url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3906099/pdf/pone.0087020.pdf
ISSN: 1932-6203 (electronic)
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