865: Malaria exposure in pregnancy: birth outcomes with placental and non-placental malaria infection

Incidence and predictors of adverse birth outcomes among women who gave birth at Assosa general hospital, Northwest Ethiopia: a retrospective cohort study

BACKGROUND

Adverse birth outcomes are a significant public health problem worldwide, particularly in low- and middle-income countries. Adverse birth outcomes have significant immediate and long-term health consequences for infants and their families. Understanding the determinants of adverse birth outcomes is crucial to effective interventions. For this purpose, this study aimed to assess the incidence and predictors of adverse birth outcomes among women who gave birth at Assosa General Hospital.

METHODS

An institution-based retrospective cohort study design was used to select 715 mothers who gave birth at the hospital. The study participants were selected by using simple random sampling. Bivariate and multivariable logistic regression analyses were executed to identify predictor variables of adverse birth outcomes. Finally, a multivariable logistic regression model at P-value < 0.05 and adjusted relative risk (ARR) with 95% CI were used to declare predictor variables that were statistically significant with adverse birth outcomes.

RESULT

The majority, 465 (65.0%), of mothers were in the 20-34 year age group. The mean age of mothers was 26.9 (± 5.5 SD) years. This study revealed that the incidence of adverse perinatal outcomes was 29.7% (95% CI: 26.3-33.1). The common adverse birth outcomes identified in this study were low birth outcomes (159, 22.2%), preterm birth outcomes (14.8%), birth defects (5.7%), and stillbirth outcomes (3.9%). This study revealed that variables such as antenatal care, hemoglobin, mid-upper arm circumference, malaria status, and hypertension were statistically significant predictors of adverse birth outcomes. Statistically significant independent predictors of adverse birth outcomes were included fewer than 4 prenatal care visits (aRR = 3.53, 95% CI: 1.58, 5.37), malaria cases (aRR = 10.74, 95% CI: 6.56, 17.57), pregnancies with hypertensive disorders (aRR = 3.41, 95% CI: 2.17, 6.47), hemoglobin < 11 g/dl (aRR = 3.68, 95% CI: 2.42, 5.74), and a MUAC < 23 (aRR = 5.90, 95% CI: 3.98, 10.80).

CONCLUSION

There was a high incidence of adverse birth outcomes in the study area. This study revealed that inadequate antenatal care follow-up, malaria, hypertension, hemoglobin < 11 g/dl, and a mid-upper arm circumference < 23 cm were predictors of adverse birth outcomes. Governments and health authorities should prioritize policies and programs that are aimed at reducing adverse birth outcomes. Improving maternal health services, nutrition education, early diagnosis, and treatment can help to manage most of these predictors.

Prenatal malaria exposure and risk of adverse birth outcomes: a prospective cohort study of pregnant women in the Northern Region of Ghana

OBJECTIVE

Malaria remains endemic in most of sub-Saharan Africa and has a negative impact among pregnant women, resulting in morbidity and poor birth outcomes. The purpose of this study was to assess the relationship between malaria and adverse birth outcomes among prenatal women in the Northern Region of Ghana.

DESIGN

This is a prospective cohort study of singleton pregnancies at 28 weeks of gestational age and above recruited between July 2018 and May 2019 from four public hospitals in the Northern Region of Ghana.

OUTCOME MEASURES

Low birth weight (LBW), preterm birth and perinatal death.

RESULTS

A total of 1323 pregnant women completed the study out of the 1626 recruited, with an average age of 27.3±5.2 years. The incidence of malaria in this population was 9.5% (95% CI 7.9 to 11.1). After adjusting for newborn admissions to the neonatal intensive care unit, parity, maternal age and glucose-6-phosphate dehydrogenase, women who were exposed to malaria during the third trimester of pregnancy had 2.02 times (95% CI 1.36 to 2.99) higher odds of premature delivery. Furthermore, they had 2.06 times (95% CI 1.09 to 3.93) higher chance of giving birth to babies with LBW, irrespective of their socioeconomic status. With an OR of 1.02 (95% CI 0.26 to 4.01), there was no difference in perinatal mortality between pregnant women with malaria and those without malaria after adjusting for caesarean section.

CONCLUSION

This study confirms that prenatal malaria increases the odds of both preterm and LBW deliveries. A decisive policy to eradicate or minimise perinatal malaria is needed to contribute to the prevention of LBW and adverse pregnancy outcomes.