MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1177/20503121261453201

Медицинская библиотека · SAGE open medicine · 2026

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.

Fahma Ahmed Ali, Ishimwe Marie Pascaline Sabine, Kasujja Musa, Okello Maxwell, Kajabwangu Rogers, Nteziyaremye Theodore, Isse Sawda Abdikarim Sheikh, Okurut Emmanuel, Mohamed Abdifatah Abdullahi, Ebaid Adam Abdrahiman, Ahmed Eltayeb Mohamed, Araba Rajab Babikir Abdallah, Hakizimana Theoneste

СтатьяПеревод в очереди

Аннотация

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 15th April 2025 to 15th August 2025. A total of 151 women delivering singleton SGA infants were enrolled. Maternal sociodemographic, clinical, and obstetric data were collected via a structured questionnaire, and placentas were examined using standardized histopathological protocols. The primary outcome was a composite of adverse neonatal events, including admission to the neonatal intensive care unit (NICU), Apgar score <7 at 5 minutes, preterm birth, or early neonatal death. Multivariable Poisson regression was used to identify independent predictors of the composite outcome.

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/m2; aRR = 1.61; 95% CI: 1.06-2.46; p = 0.027) and higher maternal income (>200,000 Ugandan Shillings; aRR = 1.66; 95% CI: 1.03-2.69; p = 0.037) were also significantly associated with an increased risk of adverse outcomes.

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.

Для цитирования: Fahma Ahmed Ali, Ishimwe Marie Pascaline Sabine, Kasujja Musa, Okello Maxwell, Kajabwangu Rogers, Nteziyaremye Theodore, Isse Sawda Abdikarim Sheikh, Okurut Emmanuel, Mohamed Abdifatah Abdullahi, Ebaid Adam Abdrahiman, Ahmed Eltayeb Mohamed, Araba Rajab Babikir Abdallah, Hakizimana Theoneste. 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.. SAGE open medicine. 2026. DOI: 10.1177/20503121261453201.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.