The effect of inter-pregnancy interval on stillbirth in urban South Ethiopia: a community-based prospective cohort study

The risk of perinatal mortality following short inter-pregnancy intervals-insights from 692 402 pregnancies in 113 Demographic and Health Surveys from 46 countries: a population-based analysis

BACKGROUND

Inter-pregnancy interval has been identified as a potentially modifiable risk factor to improve perinatal outcomes. We examined the WHO recommended interval of at least 24 months after a livebirth to next pregnancy, and its recommendation of waiting for at least 6 months after a pregnancy loss to improve subsequent pregnancy outcomes. We aimed to estimate the association between inter-pregnancy interval and perinatal mortality using the Demographic and Health Survey reproductive and contraceptive calendar.

METHODS

For this population-based analysis, we extracted data for pregnancies with gestational age and pregnancy outcomes from 113 publicly available Demographic and Health Surveys conducted between 2000 and 2022 in 46 countries that included a reproductive or contraceptive calendar module. The primary outcome was perinatal mortality (stillbirth and early neonatal death) while the inter-pregnancy interval was the exposure of interest, grouped into categories of less than 6 months, 6-11 months, 12-17 months, 18-23 months, and 24-59 months. The analysis was stratified by preceding pregnancy outcome (livebirths, stillbirths, or abortions). The Kaplan-Meier method and Cox proportional hazard model were used to calculate the cumulative probability of perinatal mortality and the hazard ratios (HRs).

FINDINGS

The analysis sample comprised of 692 402 pregnancies contributed by 570 145 women with a mean age of 28·4 years (SD 5·96). The overall HR of perinatal death was 2·72 (95% CI 2·52-2·93) times higher for an inter-pregnancy interval of less than 6 months compared with the WHO recommended optimal waiting time of 18-23 months following a livebirth. Overall HRs followed a context-related pattern, with the highest ratio of 2·95 (95% CI 2·67-3·25) in sub-Saharan Africa and the lowest of 1·98 (1·47-2·66) in north Africa, west Asia, and Europe. Inter-pregnancy intervals of less than 3 months, 6 months, and 12 months following stillbirth or abortion (spontaneous or induced) do not pose a higher risk for perinatal death in subsequent pregnancy.

INTERPRETATION

Our study reaffirms the WHO recommendation on optimal interval between the last livebirth and the next pregnancy of at least 24 months and avoiding pregnancy before 18 months. However, our analysis does not support the WHO recommendation of delaying the next pregnancy for at least 6 months after a pregnancy loss for improved perinatal survival.

FUNDING

None.

Determinants of postpartum uterine atony in urban South Ethiopia: a community-based unmatched nested case-control study

BACKGROUND

Uterine atony is the most common cause of postpartum hemorrhage, which is the leading preventable cause of maternal morbidity and mortality. Despite several interventions uterine atony-related postpartum hemorrhage remains a global challenge. Identifying risk factors of uterine atony helps to reduce the risk of postpartum hemorrhage and subsequent maternal death. However, evidence about risk factors of uterine atony is limited in the study areas to suggest interventions. This study aimed to assess determinants of postpartum uterine atony in urban South Ethiopia.

METHODS

A community-based unmatched nested case-control study was conducted from a cohort of 2548 pregnant women who were followed-up until delivery. All women with postpartum uterine atony (n = 93) were taken as cases. Women who were randomly selected from those without postpartum uterine atony (n = 372) were taken as controls. Using a case to control ratio of 1:4, the total sample size was 465. An unconditional logistic regression analysis was done using R version 4.2.2 software. In the binary unconditional logistic regression model variables that have shown association at p < 0.20 were recruited for multivariable model adjustment. In the multivariable unconditional logistic regression model, statistically significant association was declared using 95% CI and p < 0.05. Adjusted odds ratio (AOR) used to measure the strength of association. Attributable fraction (AF) and population attributable fraction (PAF) were used to interpret the public health impacts of the determinants of uterine atony.

RESULTS

In this study, short inter-pregnancy interval < 24 months (AOR = 2.13, 95% CI: 1.26, 3.61), prolonged labor (AOR = 2.35, 95% CI: 1.15, 4.83), and multiple birth (AOR = 3.46, 95% CI: 1.25, 9.56) were determinants of postpartum uterine atony. The findings suggest that 38%, 14%, and 6% of uterine atony in the study population was attributed to short inter-pregnancy interval, prolonged labor, and multiple birth, respectively, which could be prevented if those factors did not exist in the study population.

CONCLUSIONS

Postpartum uterine atony was related to mostly modifiable conditions that could be improved by increasing the utilization of maternal health services such as modern contraceptive methods, antenatal care and skilled birth attendance in the community.

Effects of HIV Infection on Pregnancy Outcomes Among Women Attending Antenatal Care in Referral Hospitals of the Amhara Regional State, Ethiopia: A Prospective Cohort Study

Background

Human immunodeficiency virus (HIV) has remained to be a significant public health problem worldwide mainly affecting women. Despite a 2 to 3 times higher risk of adverse pregnancy outcomes, around 2 million HIV positive women give birth each year globally. However, there is a dearth of evidences in Ethiopia about the effect of maternal HIV infection on pregnancy outcomes where adverse birth outcomes are still a significant health problem. This study is, therefore, aimed to examine the effect of HIV on the risk of adverse pregnancy outcomes in Amhara Regional State, Ethiopia.

Methods

A prospective cohort study was conducted among 704 pregnant women (352 women with HIV and 352 women without HIV infection). Systematic random sampling technique was employed to select the study participants. Data on socio-demographic, obstetric, clinical, as well as behavioral and psychosocial characteristics were collected using a validated tool. Data on the outcome variables were also collected following delivery. Modified Poisson regression was employed to estimate the relative risk (RR) of HIV on low birth weight (LBW), preterm birth, and still birth at 95% confidence level. Attributable fraction (AF) was used to report the impact of HIV infection on pregnancy outcomes.

Results

Of the total 704 pregnant women enrolled for the study, 96.3% (678) completed the study. The mean age of the study participants was 30.8 (SD ± 5.4) for HIV positive and 27 (SD ± 5.4) for HIV negative women. The cumulative incidence of low birth weight, preterm birth, and stillbirth were 21.4%, 9.4%, and 4.1%, respectively. The incidence of LBW was 24.7% among HIV positive and 17.8% among HIV negative women. The incidence of preterm birth was 10.7% among HIV positive and 7.9% among HIV negative women. And the incidence of stillbirth was 3.7% and 4.6% among HIV positive and those HIV negative women. New-borns from women with HIV infection had a higher risk of low birth weight and preterm birth than those HIV negative women (Adjusted Relative Risk (ARR) = 1.47; 95% CI: 1.06-2.03) and (ARR = 1.74; 95% CI: 1.08-2.79), respectively. The attributable risk of HIV on low birth weight was 32% (Attributable Fraction (AF) = 32%, 95% CI: 23-46%), and 43% (AF = 43%, 95% CI: 23-46%) for preterm birth.

Conclusion

Maternal HIV infection increased the risk of low birth weight and preterm birth. This implies due attention is required while providing maternal health services primarily antenatal care and delivery services. These services should be aimed at reducing adverse pregnancy outcomes with more attention given to women with HIV infection. Moreover, reinforcement of HIV prevention intervention strategies should be considered at all levels.