Effect of preterm birth on early neonatal, late neonatal, and postneonatal mortality in India

Neonatal mortality and associated factors among newborns in Mogadishu, Somalia: a multicenter hospital-based cross-sectional study

INTRODUCTION

Neonatal mortality is a significant public health problem in Sub-Saharan Africa, particularly in Somalia, where limited data exists about this. Mogadishu, the densely populated capital, faces a high rate of neonatal mortality, but this has not been widely studied on a national level. Healthcare providers and policymakers are working to reduce newborn deaths, but a comprehensive understanding of the contributing factors is crucial for effective strategies. Therefore, this study aims to determine the magnitude of neonatal death and identify factors associated with it in Mogadishu, Somalia.

METHOD

A multicenter hospital-based cross-sectional study was conducted to collect data from participants at 5 purposively selected hospitals in Mogadishu, Somalia. A well-structured, reliable, self-developed, validated questionnaire containing socio-demographic, maternal, and neonatal characteristics was used as a research tool. Descriptive statistics were used for categorical and continuous variables presented. Chi-square and logistic regression were used to identify factors associated with neonatal mortality at a significant level of α = 0.05.

RESULTS

A total of 513 participants were recruited for the study. The prevalence of neonatal mortality was 26.5% [95%CI = 22.6-30.2]. In a multivariable model, 9 variables were found: female newborns (AOR = 1.98, 95%CI = 1.22-3.19), those their mothers who did not attend ANC visits (AOR = 2.59, 95%CI = 1.05-6.45), those their mothers who did not take tetanus toxoid vaccination (AOR = 1.82, 95%CI = 1.01-3.28), those their mothers who delivered in instrumental assistant mode (AOR = 3.01, 95%CI = 1.38-6.56), those who had neonatal sepsis (AOR = 2.24, (95%CI = 1.26-3.98), neonatal tetanus (AOR = 16.03, 95%CI = 3.69-69.49), and pneumonia (AOR = 4.06, 95%CI = 1.60-10.31) diseases during hospitalization, premature (AOR = 1.99, 95%CI = 1.00-3.94) and postmature (AOR = 4.82, 95%CI = 1.64-14.16) neonates, those with a birth weight of less than 2500 gr (AOR = 4.82, 95%CI = 2.34-9.95), those who needed resuscitation after delivery (AOR = 2.78, 95%CI = 1.51-5.13), and those who did not initiate early breastfeeding (AOR = 2.28, 95%CI = 1.12-4.66), were significantly associated with neonatal mortality compared to their counterparts.

CONCLUSION

In this study, neonatal mortality was high prevalence. Therefore, the intervention efforts should focus on strategies to reduce maternal and neonatal factors related to neonatal mortality. Healthcare workers and health institutions should provide appropriate antenatal, postnatal, and newborn care.

Bann C, Bozdar MH, Raza J, Dhaded SM, Goudar SS, Gowdar G, Yasmin H, McClure EM, Goldenberg RL. Predictors of Preterm Neonatal Mortality in India and Pakistan: A Secondary Analysis of Data from PURPOSe Study

Objective. To create a prediction model for preterm neonatal mortality. Methods. A secondary analysis was conducted using data from a prospective cohort study, the Project to Understand and Research Preterm Pregnancy Outcome South Asia. The Cox proportional hazard model was used and adjusted hazard ratios (AHR) with 95% confidence intervals (95% CI) were reported. Results. Overall, 3446 preterm neonates were included. The mean age of preterm neonates was 0.65 (1.25) hours and 52% were female. The preterm neonatal mortality rate was 23.3%. The maternal factors predicting preterm neonatal death was any antepartum hemorrhage, AHR 1.99 (1.60-2.47), while neonatal predictors were preterm who received positive pressure ventilation AHR 1.30 (1.08-1.57), temperature <35.5°C AHR 1.18 (1.00-1.39), and congenital malformations AHR 3.31 (2.64-4.16). Conclusion. This study identified key maternal and neonatal predictors of preterm neonatal mortality, emphasizing the need for targeted interventions and collaborative public health efforts to address disparities and regional variations.

Preterm birth and neonatal mortality in selected slums in and around Dhaka City of Bangladesh: A cohort study

BACKGROUND

Although under-five mortality has declined appreciably in Bangladesh over the last few decades, neonatal mortality still remains high. The objective of the study is to assess the level and determinants of preterm birth and the contribution of preterm birth to neonatal mortality.

METHODS

Data for this study came from selected slums in and around Dhaka city, where; since 2015, icddr,b has been maintaining the Health and Demographic Surveillance System (HDSS). The HDSS data were collected by female Field Workers by visiting each household every three months; however, during the visit, data on the Last Menstrual Period (LMP) were also collected by asking each eligible woman to ascertain the date of conception. Gestational age was estimated in complete weeks by subtracting LMP from the date of the pregnancy outcome. In this study, 6,989 livebirths were recorded by HDSS during 2016-2018, and these births were followed for neonatal survival; both bivariate and multivariate analyses were performed.

RESULTS

Out of total births, 21.7% were born preterm (before 37 weeks of gestation), and sub-categories were: 2.19% for very preterm (28 to 31 weeks), 3.81% for moderate preterm (32 to 33 weeks), and 15.71% for late preterm (34 to 36 weeks). The study revealed that preterm babies contributed to 39.6% of neonatal deaths; however, the probability of death was very high on the 1st day of birth (0.124 for very preterm, 0.048 for moderate preterm, 0.024 for late preterm, and 0.013 for term birth), and continued until the 3rd day. In the regression analysis, compared to the term neonates, the odds of neonatal mortality were 8.66 (CI: 5.63, 13.32, p<0.01), 4.13 (CI: 2.69, 6.34, p<0.01) and 1.48 (CI: 1.05, 2.08, p<0.05) respectively for very, moderate, and late preterm birth categories. The population attributable fraction for neonatal mortality was 23%, and sub-categories were 14% for very preterm, 10% for moderate preterm, and 6% for late preterm.

CONCLUSIONS

Although urban slums are in proximity to many health facilities, a substantial proportion of preterm births contribute to neonatal deaths. So, pregnant women should be targeted, to ensure timely care during pregnancy, delivery, and post-partum periods to improve the survival of new-borns in general and preterm birth in particular.

The Association of Abnormal Doppler and Abnormal Amniotic Fluid Volume in the Third Trimester of Pregnancy with Preterm Birth in Pregnant Women in Agra, India

Aim  This article determines the association and diagnostic effectiveness of abnormal Doppler and abnormal amniotic fluid volume (AFV) in the third trimester of pregnancy with preterm births. Methods  The third trimester screening protocol of the Samrakshan program of the Indian Radiological and Imaging Association utilizes trimester-specific fetal Doppler studies and ultrasound assessments, estimation of the risk for preterm preeclampsia (PE), assessment of the fetal environment, growth, and structure, and staging of fetal growth restriction. A multivariate logistic regression model was used to explore associations of abnormal Doppler and AFV with preterm birth. The diagnostic effectiveness of Doppler and amniotic fluid measurements for preterm births was assessed. Results  One hundred and sixty-one (25.6%) of the 630 women had a preterm birth before 37 gestational weeks. Eighty (21.1%) of the 379 women with normal AFV and normal fetal Doppler studies in the third trimester had a preterm birth. The proportion of preterm birth declined from 35.14% in 2019 to 19.53% in 2022 (chi-square test p  = 0.009). Preterm birth was associated with preterm PE (adjusted odds ratio: 3.66, 95% confidence interval: 1.42, 9.44) in a multivariate logistic regression model. Both abnormal fetal Doppler and AFV did not have a good discriminatory ability for preterm births. Conclusion  Integration of fetal Doppler studies helped reduce the preterm birth rate by providing an objective measure of fetal well-being, contrary to a common belief that the use of color Doppler in the third trimester may result in iatrogenic increased preterm birth. Preterm births are associated with preterm PE and early identification of high-risk women and early initiation of low-dose aspirin may have an added benefit on preterm birth rates.

The effect of the COVID-19 pandemic on routine childhood immunization coverage and timeliness in India: retrospective analysis of the National Family Health Survey of 2019-2021 data

Background

The COVID-19 pandemic has disrupted health systems globally. We estimated the effect of the pandemic on the coverage and timeliness of routine childhood immunization in India through April 2021.

Methods

We used data from India's National Family Health Survey 2019-2021 (NFHS-5), a cross-sectional survey which collected immunization information of under-five children from a nationally representative sample of households between June 2019 and April 2021. We used a mother fixed-effects regression model - accounting for secular trends and confounding factors - to compare COVID-affected children with their COVID-unaffected siblings (n = 59,144). Children who were eligible for a vaccine after January 30, 2020 (date of the first COVID case in India) were considered as the COVID-affected group and those eligible for a vaccine before this date were included in the COVID-unaffected group. Coverage of the following vaccine doses was considered-Bacillus Calmette-Guérin (BCG), hepatitis B birth dose (hepB0), DPT1 (diphtheria, pertussis, and tetanus, first dose), DPT2, DPT3, polio1, polio2, polio3, and measles first dose (MCV1). Indicators of vaccine coverage and vaccine timeliness (defined as receiving a dose within 45 days of minimum eligibility age) were separately examined.

Findings

Immunization coverage was lower in COVID-affected children as compared with unaffected children, ranging from 2% lower for BCG and hepB0 to 9% for DPT3 and 10% for polio3. There was no significant difference in MCV1 coverage. Coverage reduction was greater for vaccines doses given in later age groups. The rate of timely receipt of polio and DPT vaccine doses was 3%-5% lower among COVID-affected children relative to unaffected children. Among population subgroups, COVID-affected male children and those from rural areas experienced the highest reduction in vaccine coverage.

Interpretation

Children in India experienced lower routine immunization coverage and greater delays in immunization during the COVID-19 pandemic.

Funding

The Bill & Melinda Gates Foundation.