Predictors of outcome in childhood Plasmodium falciparum malaria

Plasmodium falciparum malaria is classified as either uncomplicated or severe, determining clinical management and providing a framework for understanding pathogenesis. Severe malaria in children is defined by the presence of one or more features associated with adverse outcome, but there is wide va...

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Autores principales:	Harsita Patel, Claire Dunican, Aubrey J. Cunnington
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2020
Materias:	severe malaria cerebral malaria severe malarial anemia respiratory distress prognosis outcome prediction molecular biomarkers metabolic acidosis childhood malaria plasmodium falciparum Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/bc7a2999a96042eaa20712dfe42ba8ca
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spelling	oai:doaj.org-article:bc7a2999a96042eaa20712dfe42ba8ca2021-11-17T14:21:57ZPredictors of outcome in childhood Plasmodium falciparum malaria2150-55942150-560810.1080/21505594.2020.1726570https://doaj.org/article/bc7a2999a96042eaa20712dfe42ba8ca2020-12-01T00:00:00Zhttp://dx.doi.org/10.1080/21505594.2020.1726570https://doaj.org/toc/2150-5594https://doaj.org/toc/2150-5608Plasmodium falciparum malaria is classified as either uncomplicated or severe, determining clinical management and providing a framework for understanding pathogenesis. Severe malaria in children is defined by the presence of one or more features associated with adverse outcome, but there is wide variation in the predictive value of these features. Here we review the evidence for the usefulness of these features, alone and in combination, to predict death and other adverse outcomes, and we consider the role that molecular biomarkers may play in augmenting this prediction. We also examine whether a more personalized approach to predicting outcome for specific presenting syndromes of severe malaria, particularly cerebral malaria, has the potential to be more accurate. We note a general need for better external validation in studies of outcome predictors and for the demonstration that predictors can be used to guide clinical management in a way that improves survival and long-term health.Harsita PatelClaire DunicanAubrey J. CunningtonTaylor & Francis Grouparticlesevere malariacerebral malariasevere malarial anemiarespiratory distressprognosisoutcome predictionmolecular biomarkersmetabolic acidosischildhood malariaplasmodium falciparumInfectious and parasitic diseasesRC109-216ENVirulence, Vol 11, Iss 1, Pp 199-221 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	severe malaria cerebral malaria severe malarial anemia respiratory distress prognosis outcome prediction molecular biomarkers metabolic acidosis childhood malaria plasmodium falciparum Infectious and parasitic diseases RC109-216
spellingShingle	severe malaria cerebral malaria severe malarial anemia respiratory distress prognosis outcome prediction molecular biomarkers metabolic acidosis childhood malaria plasmodium falciparum Infectious and parasitic diseases RC109-216 Harsita Patel Claire Dunican Aubrey J. Cunnington Predictors of outcome in childhood Plasmodium falciparum malaria
description	Plasmodium falciparum malaria is classified as either uncomplicated or severe, determining clinical management and providing a framework for understanding pathogenesis. Severe malaria in children is defined by the presence of one or more features associated with adverse outcome, but there is wide variation in the predictive value of these features. Here we review the evidence for the usefulness of these features, alone and in combination, to predict death and other adverse outcomes, and we consider the role that molecular biomarkers may play in augmenting this prediction. We also examine whether a more personalized approach to predicting outcome for specific presenting syndromes of severe malaria, particularly cerebral malaria, has the potential to be more accurate. We note a general need for better external validation in studies of outcome predictors and for the demonstration that predictors can be used to guide clinical management in a way that improves survival and long-term health.
format	article
author	Harsita Patel Claire Dunican Aubrey J. Cunnington
author_facet	Harsita Patel Claire Dunican Aubrey J. Cunnington
author_sort	Harsita Patel
title	Predictors of outcome in childhood Plasmodium falciparum malaria
title_short	Predictors of outcome in childhood Plasmodium falciparum malaria
title_full	Predictors of outcome in childhood Plasmodium falciparum malaria
title_fullStr	Predictors of outcome in childhood Plasmodium falciparum malaria
title_full_unstemmed	Predictors of outcome in childhood Plasmodium falciparum malaria
title_sort	predictors of outcome in childhood plasmodium falciparum malaria
publisher	Taylor & Francis Group
publishDate	2020
url	https://doaj.org/article/bc7a2999a96042eaa20712dfe42ba8ca
work_keys_str_mv	AT harsitapatel predictorsofoutcomeinchildhoodplasmodiumfalciparummalaria AT clairedunican predictorsofoutcomeinchildhoodplasmodiumfalciparummalaria AT aubreyjcunnington predictorsofoutcomeinchildhoodplasmodiumfalciparummalaria
_version_	1718425506006695936

Predictors of outcome in childhood Plasmodium falciparum malaria

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