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Generation of a malaria negative Ugandan birth weight standard for the diagnosis of small for gestational age.

ABSTRACT: Objective:Placental malaria is a known risk factor for small for gestational age (SGA) neonates. However, currently utilized international and African birthweight standards have not controlled for placental malaria and/or lack obstetrical ultrasound dating. We developed a neonatal birthweight standard based on obstetrically dated pregnancies that excluded individuals with clinical malaria, asymptomatic parasitemia, and placental malaria infection. We hypothesized that current curves underestimate true ideal birthweight and the prevalence of SGA.

Study design:Participants were pooled from two double-blind randomized control trials of intermittent preventive therapy during pregnancy in Uganda. HIV-negative women without comorbidities were enrolled from 12-20 weeks gestation. Gestational age was confirmed by ultrasound dating. Women were followed through pregnancy and delivery for clinical malaria, asymptomatic parasitemia, and placental malaria. Women without malaria, asymptomatic parasitemia, or placental malaria formed the malaria negative cohort and generated the Ugandan birthweight standard. The Ugandan standard was then used to estimate the prevalence of SGA neonates in the malaria positive cohort. These findings were compared to international (Williams, World Health Organization (WHO), and INTERGROWTH-21st) and regional standards (Tanzanian and Malawi).

Results:926 women had complete delivery data; 393 (42.4%) met criteria for the malaria negative cohort and 533 (57.6%) were malaria positive. The Ugandan standard diagnosed SGA in 17.1% of malaria positive neonates; similar to the INTERGROWTH-21st and Schmiegelow curves. The WHO curve diagnosed SGA in significantly more neonates (32.1%, p = <0.001), and the Malawi curve diagnosed SGA in significantly fewer neonates (8.3%, p <0.001).

Conclusion:Exclusion of women with subclinical placental malaria in malaria-endemic areas created birth weight norms at higher values and increased the detection of SGA. Birth weight standards that fail to account for endemic illness may underestimate the true growth potential of healthy neonates.

SUBMITTER: Zakama AK

PROVIDER: S-EPMC7531849 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Generation of a malaria negative Ugandan birth weight standard for the diagnosis of small for gestational age.

Zakama Arthurine K AK Weekes Terik T Kajubi Richard R Kakuru Abel A Ategeka John J Kamya Moses M Muhindo Mary K MK Havlir Diane D Jagannathan Prasanna P Dorsey Grant G Gaw Stephanie L SL

PloS one 20201002 10

<h4>Objective</h4>Placental malaria is a known risk factor for small for gestational age (SGA) neonates. However, currently utilized international and African birthweight standards have not controlled for placental malaria and/or lack obstetrical ultrasound dating. We developed a neonatal birthweight standard based on obstetrically dated pregnancies that excluded individuals with clinical malaria, asymptomatic parasitemia, and placental malaria infection. We hypothesized that current curves unde ...[more]

PMID: 33007041

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Project description:BACKGROUND:Among highly exposed populations, arsenic exposure in utero may be associated with decreased birth weight, however less is known about potential effects of arsenic exposure in urban communities without contaminated sources such as drinking water. OBJECTIVE:Investigate the association of blood arsenic levels with birth weight-for-gestational age categories within a prospective birth cohort study. DESIGN/METHODS:We analyzed 730 mother-infant dyads within the Programming Research in Obesity, GRowth, Environment and Social Stressors (PROGRESS) cohort in Mexico City. Total arsenic was measured in maternal blood samples from the 2nd and 3rd trimesters, at delivery, as well as from infant umbilical cord blood samples. Multivariable, multinomial logistic regression models adjusting for maternal age at enrollment, pre-pregnancy body mass index, parity, infant sex, socioeconomic position, and prenatal environmental tobacco smoke exposure were used to calculate odds ratios of small-for-gestational age (<10th percentile, SGA) and large-for-gestational age (>90th percentile, LGA) compared to appropriate-for-gestational age (AGA) per unit increase of log-transformed arsenic. RESULTS:Median (IQR) blood arsenic levels for maternal second trimester were 0.72 (0.33) ?g/L, maternal third trimester 0.75 (0.41) ?g/L, maternal at delivery 0.85 (0.70) ?g/L, and infant cord 0.78 (0.65) ?g/L. Maternal delivery and infant cord blood samples were most strongly correlated (spearman r?=?0.65, p?<?0.0001). Maternal arsenic levels at delivery were associated with significantly higher odds of both SGA (adj. OR?=?1.44, 95% CI: 1.08-1.93) and LGA (adj. OR?=?2.03, 95% CI: 1.12-3.67) compared to AGA. Results were similar for cord blood. There were 130 SGA infants and 22 LGA infants. Earlier in pregnancy, there were no significant associations of arsenic and birth weight-for-gestational age. However, we observed non-significantly higher odds of LGA among women with higher arsenic levels in the 3rd trimester (adj. OR?=?1.46, 95% CI: 0.67-3.12). CONCLUSION:We found that in a Mexico City birth cohort, higher maternal blood arsenic levels at delivery were associated with higher odds of both SGA and LGA. However, sources and species of arsenic were not known and the number of LGA infants was small, limiting the interpretation of this finding and highlighting the importance of future large studies to incorporate arsenic speciation. If our findings were confirmed in studies that addressed these limitations, determining modifiable factors that could be mitigated, such as sources of arsenic exposure, may be important for optimizing fetal growth to improve long-term health of children.

Dataset Information

Generation of a malaria negative Ugandan birth weight standard for the diagnosis of small for gestational age.

Publications

Generation of a malaria negative Ugandan birth weight standard for the diagnosis of small for gestational age.

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