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Developing a novel risk prediction model for severe malarial anemia.

cam.issuedOnline2017-09-11
cam.orpheus.successThu Jan 30 12:59:41 GMT 2020 - The item has an open VoR version.
dc.contributor.authorBrickley, EB
dc.contributor.authorKabyemela, E
dc.contributor.authorKurtis, JD
dc.contributor.authorFried, M
dc.contributor.authorWood, AM
dc.contributor.authorDuffy, PE
dc.contributor.orcidBrickley, EB [0000-0003-0280-2288]
dc.date.accessioned2018-03-12T15:09:09Z
dc.date.available2018-03-12T15:09:09Z
dc.date.issued2017
dc.description.abstractAs a pilot study to investigate whether personalized medicine approaches could have value for the reduction of malaria-related mortality in young children, we evaluated questionnaire and biomarker data collected from the Mother Offspring Malaria Study Project birth cohort (Muheza, Tanzania, 2002-2006) at the time of delivery as potential prognostic markers for pediatric severe malarial anemia. Severe malarial anemia, defined here as a Plasmodium falciparum infection accompanied by hemoglobin levels below 50 g/L, is a key manifestation of life-threatening malaria in high transmission regions. For this study sample, a prediction model incorporating cord blood levels of interleukin-1β provided the strongest discrimination of severe malarial anemia risk with a C-index of 0.77 (95% CI 0.70-0.84), whereas a pragmatic model based on sex, gravidity, transmission season at delivery, and bed net possession yielded a more modest C-index of 0.63 (95% CI 0.54-0.71). Although additional studies, ideally incorporating larger sample sizes and higher event per predictor ratios, are needed to externally validate these prediction models, the findings provide proof of concept that risk score-based screening programs could be developed to avert severe malaria cases in early childhood.
dc.format.mediumElectronic-eCollection
dc.identifier.doi10.17863/CAM.20998
dc.identifier.eissn2054-4200
dc.identifier.issn2054-4200
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/273921
dc.languageeng
dc.language.isoeng
dc.publisherHindawi Limited
dc.publisher.urlhttp://dx.doi.org/10.1017/gheg.2017.8
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAnemia
dc.subjectbiomarkers
dc.subjectcytokines
dc.subjectmalaria
dc.subjectpersonalized medicine
dc.subjectrisk prediction
dc.titleDeveloping a novel risk prediction model for severe malarial anemia.
dc.typeArticle
dcterms.dateAccepted2017-05-15
prism.publicationDate2017
prism.publicationNameGlob Health Epidemiol Genom
prism.startingPagee14
prism.volume2
pubs.funder-project-idMedical Research Council (G0701619)
rioxxterms.licenseref.startdate2017-01
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1017/gheg.2017.8

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