Publication:
Quantifying low birth weight, preterm birth and small-for- Gestational-age effects of malaria in pregnancy: A population cohort study

dc.contributor.authorMarcus J. Rijkenen_US
dc.contributor.authorAlysha M. De Liveraen_US
dc.contributor.authorSue J. Leeen_US
dc.contributor.authorMachteld E. Boelen_US
dc.contributor.authorSuthatsana Rungwilailaekhirien_US
dc.contributor.authorJacher Wiladphaingernen_US
dc.contributor.authorMoo Kho Pawen_US
dc.contributor.authorMupawjay Pimanpanaraken_US
dc.contributor.authorSasithon Pukrittayakameeen_US
dc.contributor.authorJulie A. Simpsonen_US
dc.contributor.authorFrançois Nostenen_US
dc.contributor.authorRose McGreadyen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherUniversity of Melbourneen_US
dc.contributor.otherNuffield Department of Clinical Medicineen_US
dc.date.accessioned2018-11-09T01:44:29Z
dc.date.available2018-11-09T01:44:29Z
dc.date.issued2014-07-01en_US
dc.description.abstractBackground: The association between malaria during pregnancy and low birth weight (LBW) is well described. This manuscript aims to quantify the relative contribution of malaria to small-for-gestational-age (SGA) infants and preterm birth (PTB) in pregnancies accurately dated by ultrasound on the Thai-Myanmar border at the Shoklo Malaria Research Unit. Methods and Findings: From 2001 to 2010 in a population cohort of prospectively followed pregnancies, we analyzed all singleton newborns who were live born, normal, weighed in the first hour of life and with a gestational age (GA) between 28+0 and 41+6 weeks. Fractional polynomial regression was used to determine the mean birthweight and standard deviation as functions of GA. Risk differences and factors of LBW and SGA were studied across the range of GA for malaria and non-malaria pregnancies. From 10,264 newborns records, population centiles were created. Women were screened for malaria by microscopy a median of 22 [range 1-38] times and it was detected and treated in 12.6% (1,292) of pregnancies. Malaria was associated with LBW, PTB, and SGA compared to those without malaria. Nearly two-thirds of PTB were classified as LBW (68% (539/789)), most of which 83% (447/539) were not SGA. After GA 39 weeks, 5% (298/5,966) of non-LBW births were identified as SGA. Low body mass index, primigravida, hypertension, smoking and female sex of the newborn were also significantly and independently associated with LBW and SGA consistent with previous publications. Conclusions: Treated malaria in pregnancy was associated with an increased risk for LBW, PTB, and SGA, of which the latter are most important for infant survival. Using LBW as an endpoint without adjusting for GA incorrectly estimated the effects of malaria in pregnancy. Ultrasound should be used for dating pregnancies and birth weights should be expressed as a function (or adjusted for GA) of GA in future malaria in pregnancy studies. © 2014 Rijken et al.en_US
dc.identifier.citationPLoS ONE. Vol.9, No.7 (2014)en_US
dc.identifier.doi10.1371/journal.pone.0100247en_US
dc.identifier.issn19326203en_US
dc.identifier.other2-s2.0-84903749769en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/33008
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84903749769&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titleQuantifying low birth weight, preterm birth and small-for- Gestational-age effects of malaria in pregnancy: A population cohort studyen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84903749769&origin=inwarden_US

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