Adverse birth outcomes and their clinical phenotypes in an urban Zambian cohort

Joan T Price1,2,3, Bellington Vwalika2, Katelyn J Rittenhouse1

  • 1Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA.

Gates Open Research
|March 17, 2020
PubMed

Insights

This study in Zambia found high rates of preterm birth, small-for-gestational-age, and stillbirth. Key risk factors included prior preterm birth, short cervix, twins, and antenatal hypertension, highlighting the need for better data in low-resource settings.

Area of Science:

  • Obstetrics and Gynecology
  • Maternal and Child Health
  • Public Health in Sub-Saharan Africa

Background:

  • Limited rigorous cohort studies in sub-Saharan Africa hinder understanding of adverse birth outcomes.
  • Inadequate gestational age dating and clinical phenotyping complicate risk factor identification.

Purpose of the Study:

  • To investigate adverse birth outcomes in urban Lusaka, Zambia.
  • To characterize incidence and risk factors for preterm birth, small-for-gestational-age, and stillbirth.

Main Methods:

  • Prospective observational cohort study (Zambian Preterm Birth Prevention Study - ZAPPS) from August 2015 to September 2017.
  • Follow-up through 42 days postpartum with standardized assessment of neonatal outcomes and delivery phenotypes.
  • Primary outcomes: preterm birth (<37 weeks), small-for-gestational-age (<10th percentile), and stillbirth.

Main Results:

  • 15% preterm birth, 18% small-for-gestational-age, and 4% stillbirth among 1216 deliveries.
  • Risk factors for preterm birth included prior preterm birth, short cervix, twins, and antenatal hypertension.
  • Small-for-gestational-age associated with twins and antenatal hypertension; stillbirth associated with short cervix.

Conclusions:

  • High rates of preterm birth, small-for-gestational-age, and stillbirth confirmed in Lusaka, Zambia.
  • Accurate gestational age dating and data ascertainment are crucial for understanding adverse birth outcomes in low-resource settings.
  • Identified risk factors provide targets for intervention and prevention strategies.