ArticleSAGE open medicine2026
Placental pathology and maternal risk factors as predictors of adverse neonatal outcomes in small-for-gestational-age births: A prospective cohort study in Northern Uganda.
Article in SAGE open medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Births that are small-for-gestational-age (SGA) represent a major cause of neonatal morbidity and mortality, particularly in sub-Saharan Africa. The contribution of specific placental histopathological lesions and their association with maternal risk factors remain poorly characterized in this high-burden setting. This study aimed to determine the incidence of adverse neonatal outcomes in SGA births and to identify associated placental and maternal predictors in northern Uganda. Methods: A prospective cohort study was conducted at Lira Regional Referral and Kiryandongo General Hospitals in Uganda from 15 Results: The incidence of adverse neonatal outcomes was 48.3% (95% CI: 40.4-56.4). Placental abnormalities were identified in 47.7% of cases, with inflammatory lesions (8.6%), vascular lesions (7.9%), and villous infarctions (6.0%) being the most prevalent findings. After adjusting for confounders, the presence of any placental abnormality was the strongest independent predictor of adverse outcomes (adjusted Relative Risk = 2.23; 95% CI: 1.45-3.43; p < 0.001). Maternal obesity (Body Mass Index ≥30 kg/m Conclusion: Nearly half of SGA neonates in this northern Ugandan cohort experienced an adverse neonatal outcome. Placental abnormalities were common and were associated with adverse outcomes, and maternal obesity was identified as a potentially modifiable risk factor. These findings support the value of structured placental examination after SGA deliveries for etiologic classification and risk stratification and highlight the need for further research to determine whether targeted antenatal interventions addressing maternal nutrition and weight management can reduce adverse neonatal outcomes.
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