Determinants of Preterm Birth among Mothers Who Gave Birth in Dilla University Referral Hospital, Southern Ethiopia: A Case-Control Study

Maternal risk factors associated with the birth of preterm infants in the West of Iran: a matched case-control study

BACKGROUND

Preterm birth is one of the global most common causes of mortality among infants, especially in developing countries. Therefore, the present study was conducted to determine the maternal risk factors related to the birth of preterm infants.

METHODS

The present case-control study was conducted on 220 premature infants as the case group and 440 term infants as the control group in the hospitals of Khorram Abad, Iran, in 2023. Two groups were matched in terms of gender and date of birth. Data were gathered by the researcher using a researcher-made questionnaire, interviewing the mothers and physicians, and reviewing mothers' medical files in maternity and postpartum wards. Data were analyzed using Stata 17 software and descriptive statistics and conditional logistic regression test at the significance level of less than 0.05.

RESULTS

In multivariable analysis adjusted odds ratio (AOR) was estimated, mother's employment (AOR: 2.85; 95%CI:1.05-7.77), history of abortion (AOR: 2.04; 95%CI: 1.10-3.78), sexual activity from 32nd to 36.6th week of pregnancy (AOR: 0.33; 95%CI: 0.20-0.54), pre-eclampsia (AOR: 11.09; 95%CI: 4.5-27.39), premature rupture of membrane (AOR: 6.76; 95%CI; 3.7-12.34) and placental abruption (AOR: 16.07; 95%CI: 5.45-47.39) were significantly associated with preterm birth of infants. No significant relation was observed between mother's age, assisted reproductive treatment, cervical insufficiency, and the number of received prenatal cares at the health centers and the birth of premature infants.

CONCLUSION

According to the results of the study, factors such as a mother's employment, history of abortion, pre-eclampsia, premature rupture of membranes, and placental abruption can affect the birth of premature infants. Therefore, the control of maternal factors influential in the birth of premature infants, as well as care during pregnancy, can reduce the occurrence of premature births, followed by the reduction of healthcare costs and infant mortality and the improvement of the youth level of the population.

Determinants of preterm delivery among mothers who gave birth in hospitals of Wolaita zone, southern Ethiopia, 2023: unmatched case-control study

BACKGROUND

Preterm delivery refers to childbirth that occurs before 37 full weeks' gestation. Globally, around 13.4 million babies are born preterm annually, a million died due to its complications. Identifying its determinants is mandatory to decrease preterm birth and thereby neonatal deaths. Therefore, this study aimed to identify the determinants of preterm delivery among mothers who gave birth in hospitals in the Wolaita zone, southern Ethiopia.

METHODS

A hospital-based unmatched case-control study design was conducted from March 29 to May 20, 2023, in the Wolaita zone, southern Ethiopia. Cases were women who gave birth after 28 weeks and before 37 completed weeks, and controls were women who gave birth at and after 37 and before 42 weeks of gestation from the first day of the last normal menstrual period. A consecutive sampling method was used. Data were collected by a structured interviewer-administered questionnaire. Data were coded and entered into Epi data 3.1 and analyzed by using SPSS version 25. Variables that had a P-value < 0.25 in the bivariate logistic regression analysis were entered into a multivariable logistic regression model. Finally, p-value < 0.05 was used to claim statistical significance.

RESULT

From a total of 405 eligible participants, 399 respondents (133 cases and 266 controls) participated in this study with a response rate of 98.52%. The result of the multivariable analysis shows that mothers who resided in rural areas [AOR = 2.78:95% CI (1.51-5.12)], not receiving support from their partner [AOR = 2.37:95% CI (1.24-4.51)], less than four antenatal care visits [AOR = 4.52:95%CI (2.38-8.57)], developed pregnancy-induced hypertension [AOR = 5.25:95%CI (2.27-12.14)] and exposed for intimate partner violence [AOR = 2.95:95%CI (1.105-7.85)], had statistically significant association with experiencing preterm delivery.

CONCLUSION AND RECOMMENDATION

Most of the determinants for preterm delivery have been proven modifiable. Thus, designing new strategies, providing comprehensive mobile clinic services to address hard-to-reach areas and Health care providers should give due attention to mothers with pregnancy-induced hypertension and exposure to intimate partner violence and increase the awareness of antenatal care follow-up and benefit of support during pregnancy to reduce preterm delivery.

Urinary tract infections and risk of preterm birth: a systematic review and meta-analysis

This systematic review and meta-analysis assessed the association between urinary tract infections (UTIs) during pregnancy and the risk of preterm birth (PTB). We searched multiple databases for relevant observational studies, categorizing them as UTI-based (comparing PTB incidence in women with and without UTIs) or PTB-based (comparing UTI prevalence in women with and without PTB). Using a random-effects model in Stata software version 17.0, we estimated pooled and adjusted odds ratios (ORs) with 95% confidence intervals (CIs), and performed subgroup, sensitivity, and cumulative analyses to explore heterogeneity. In total, 30 studies comprising 32 datasets were included, involving a total of 249,810 cases and 2,626,985 healthy controls. The meta-analysis revealed a significant positive association between UTIs during pregnancy and PTB occurrence (OR, 1.92; 95% CI, 1.62-2.27). A sub-group analysis based on studies, the participants showed significant association in both PTB-based (OR, 2.01; 95% CI, 1.58-2.56) and UTI-based studies (OR, 1.79; 95% CI, 1.42-2.26). However, Egger's test indicated the presence of publication bias (p=0.020), and substantial heterogeneity was observed across the included studies (I2=96.6; p< 0.001). These findings emphasize the critical importance of early detection and effective management of UTIs in pregnant women to reduce the risk of PTB and its associated adverse outcomes. While the results highlight a robust link between UTIs during pregnancy and PTB risk, the potential influence of publication bias and substantial heterogeneity should be considered to interpret these findings. Further research is needed to better understand the underlying mechanisms and to develop targeted interventions for high-risk pregnant women.

Development of risk prediction models for preterm delivery in a rural setting in Ethiopia

Background

Preterm birth complications are the leading causes of death among children under five years. However, the inability to accurately identify pregnancies at high risk of preterm delivery is a key practical challenge, especially in resource-constrained settings with limited availability of biomarkers assessment.

Methods

We evaluated whether risk of preterm delivery can be predicted using available data from a pregnancy and birth cohort in Amhara region, Ethiopia. All participants were enrolled in the cohort between December 2018 and March 2020. The study outcome was preterm delivery, defined as any delivery occurring before week 37 of gestation regardless of vital status of the foetus or neonate. A range of sociodemographic, clinical, environmental, and pregnancy-related factors were considered as potential inputs. We used Cox and accelerated failure time models, alongside decision tree ensembles to predict risk of preterm delivery. We estimated model discrimination using the area-under-the-curve (AUC) and simulated the conditional distributions of cervical length (CL) and foetal fibronectin (FFN) to ascertain whether they could improve model performance.

Results

We included 2493 pregnancies; among them, 138 women were censored due to loss-to-follow-up before delivery. Overall, predictive performance of models was poor. The AUC was highest for the tree ensemble classifier (0.60, 95% confidence interval = 0.57-0.63). When models were calibrated so that 90% of women who experienced a preterm delivery were classified as high risk, at least 75% of those classified as high risk did not experience the outcome. The simulation of CL and FFN distributions did not significantly improve models' performance.

Conclusions

Prediction of preterm delivery remains a major challenge. In resource-limited settings, predicting high-risk deliveries would not only save lives, but also inform resource allocation. It may not be possible to accurately predict risk of preterm delivery without investing in novel technologies to identify genetic factors, immunological biomarkers, or the expression of specific proteins.

Prevalence of preterm birth and associated factors among mothers who gave birth in public hospitals of east Gojjam zone, Ethiopia

BACKGROUNDS

Preterm birth is defined as babies born alive before 37 weeks of pregnancy or fewer than 259 days since the first day of a woman's last menstrual period. Globally, 14.84 million babies were preterm births. Preterm infants are at risk for specific diseases related to the immaturity of various organ systems. This study aimed to assess the prevalence of preterm birth and associated factors among mothers who gave birth in public hospitals of east Gojjam zone, Ethiopia.

METHODS

An institutional-based cross-sectional study was conducted from April 1 up to June 30, 2021, in public hospitals in the east Gojjam zone. Systematic random sampling was used. Data were collected through structured questionnaires, patient interviews and patient card reviews. We used binary logistic regression analysis with 95% CI and P-value < 0.05 to identify the significant factors with preterm birth.

RESULTS

Out of 615 mothers, 13.2% gave a preterm birth. Antenatal care (AOR = 2.87; 95% CI = (1.67, 5.09)), educational status of mother (AOR = 2.79; 95% CI = (1.27, 6.67)), husband educational status(AOR = 2.11; 95% CI = (1.10, 4.18)), Average monthly family income(AOR = 1.95; 95% CI = (1.05, 3.75)),family size(AOR = 0.15; 95% CI = (0.03, 0.67)), multifetal gestation (AOR = 3.30; 95% CI = (1.29, 8.69), having Premature Rupture Of Membrane (AOR = 6.46; 95% CI= (2.52, 18.24)), history of chronic illness (AOR = 3.94; 95% CI = (1.67, 9.45)), being HIV positive(AOR = 6.99; 95% CI= (1.13, 44.65)), Ante-Partum Hemorrhage (AOR = 3.62; 95% CI= (1.12, 12.59)), pregnancy Induced Hypertension (AOR = 3.61; 95% CI= (1.19, 11.84)), mode of delivery (AOR = 7.16; 95% CI = (2.09, 29.29)), and onset of labor (AOR = 0.10; 95% CI = (0.03, 0.29)) were found to be significantly associated with preterm birth.

CONCLUSIONS

antenatal care, educational status of the mother, husband's educational status, family income, family size, multifetal gestation, Premature Rupture of the membrane, history of chronic illness, being HIV positive, Ante-Partum Hemorrhage, pregnancy Induced Hypertension, mode of delivery, and the onset of labor were found to be significantly associated with preterm birth. To minimize the proportion of preterm birth focusing on this important variables, timely identification of obstetric complications, strengthening early screening of HIV and high-risk pregnancies like multiple gestations, PIH and APH were important.

A Scoping Review of Preterm Births in Sub-Saharan Africa: Burden, Risk Factors and Outcomes

Preterm births (PTB) are the leading cause of neonatal deaths, the majority of which occur in low- and middle-income countries, particularly those in Sub-Saharan Africa (SSA). Understanding the epidemiology of prematurity is an essential step towards tackling the challenge of PTB in the sub-continent. We performed a scoping review of the burden, predictors and outcomes of PTB in SSA. We searched PubMed, Embase, and three other databases for articles published from the database inception to 10 July 2021. Studies reporting the prevalence of PTB, the associated risk factors, and/or its outcomes were eligible for inclusion in this review. Our literature search identified 4441 publications, but only 181 met the inclusion criteria. Last menstrual period (LMP) was the most commonly used method of estimating gestational age. The prevalence of PTB in SSA ranged from 3.4% to 49.4%. Several risk factors of PTB were identified in this review. The most frequently reported risk factors (i.e., reported in ≥10 studies) were previous history of PTB, underutilization of antenatal care (<4 visits), premature rupture of membrane, maternal age (≤20 or ≥35 years), inter-pregnancy interval, malaria, HIV and hypertension in pregnancy. Premature babies had high rates of hospital admissions, were at risk of poor growth and development, and were also at a high risk of morbidity and mortality. There is a high burden of PTB in SSA. The true burden of PTB is underestimated due to the widespread use of LMP, an unreliable and often inaccurate method for estimating gestational age. The associated risk factors for PTB are mostly modifiable and require an all-inclusive intervention to reduce the burden and improve outcomes in SSA.