Objective: To identify factors associated with perinatal mortality in northeastern Tanzania.
Design: Prospective cohort study.
Setting: Northeastern Tanzania. Population. 872 mothers and their newborns.
Methods: Pregnant women were screened for factors possibly associated with perinatal mortality, including preeclampsia, small-for-gestational age, preterm delivery, anemia, and health-seeking behavior. Fetal growth was monitored using ultrasound. Finally, the specific causes of the perinatal deaths were evaluated.
Main Outcome Measure: Perinatal mortality.
Results: Forty-six deaths occurred. Key factors associated with perinatal mortality were preterm delivery (adjusted odds ratio (OR) 14.47, 95% confidence interval (CI) 3.23-64.86, p < 0.001), small-for-gestational age (adjusted OR 3.54, 95%CI 1.18-10.61, p = 0.02), and maternal anemia (adjusted OR 10.34, 95%CI 1.89-56.52, p = 0.007). Adherence to the antenatal care program (adjusted OR 0.027, 95%CI 0.003-0.26, p = 0.002) protected against perinatal mortality. The cause of death in 43% of cases was attributed to complications related to labor and specifically to intrapartum asphyxia (30%) and neonatal infection (13%). Among the remaining deaths, 27% (7/26) were attributed to preeclampsia and 23% (6/26) to small-for-gestational age. Of these, 54% (14/26) were preterm.
Conclusions: Preeclampsia, small-for-gestational age and preterm delivery were key risk factors and causes of perinatal mortality in this area of Tanzania. Maternal anemia was also strongly associated with perinatal mortality. Furthermore, asphyxia accounted for a large proportion of the perinatal deaths. Interventions should target the prevention and handling of these conditions in order to reduce perinatal mortality.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/j.1600-0412.2012.01478.x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Prediction of Preeclampsia Using Machine Learning: A Systematic Review.
Cureus
December 2024
Obstetrics and Gynecology, ESI Hospital and Postgraduate Institute of Medical Sciences and Research (PGIMER) Basaidarapur, New Delhi, IND.
Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality. Early prediction is the need of the hour so that interventions like aspirin prophylaxis can be started. Nowadays, machine learning (ML) is increasingly being used to predict the disease and its prognosis.
View Article and Find Full Text PDFMixed vulnerabilities: the biological risk of high parity is aggravated by emergency referral in Benin, Malawi, Tanzania and Uganda.
Int J Equity Health
January 2025
Health Systems and Policy Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Identification of interacting vulnerabilities is essential to reduce maternal and perinatal mortality in sub-Saharan Africa (SSA). High parity (≥ 5 previous births) is an underemphasized biological vulnerability linked to poverty and affecting a sizeable proportion of SSA births. Despite increased risk, high parity women rarely use hospitals for childbirth.
View Article and Find Full Text PDFCesarean section in Suriname using robson classification: a two-year nationwide cross-sectional study on rates, risk factors and perinatal outcomes of cesarean section.
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Centre Utrecht, Utrecht University, UMC Utrecht, 3508 AB, Utrecht, Postbus 85090, the Netherlands.
Background: Optimizing CS performance is a global health priority, given the maternal and perinatal morbidity and mortality associated with both underuse and overuse. This study aims to (1) determine the facility-based CS rate in Suriname and explore which women are most likely to undergo a CS and (2) classify all CS by the WHO Robson classification and analyze the perinatal outcomes.
Methods: An observational, cross-sectional study in Suriname, using nationwide birth registry data that included all hospital births in 2020 and 2021 (≥ 27 weeks of gestation).
A systematic review of Perinatal Antibiotic Stewardship - where we are, where to go?
J Perinatol
January 2025
Faculty of Health Science and Medicine, University of Lucerne, Lucerne, Switzerland.
The perinatal period is associated with high antibiotic exposure, which raises concerns about antimicrobial resistance (AMR) and future health impacts. The aim of this comprehensive systematic review, including publications from 2000 to 2022, is to describe the current evidence and state of antimicrobial stewardship (AMS) in the perinatal period and to identify gaps in knowledge for future research. The review included 36 studies from the Americas, Europe, Asia and Australia, involving a total of 64,798 pregnant women and 84,137 newborns.
View Article and Find Full Text PDFCesarean delivery on child health and development in Japanese nationwide birth cohort.
Sci Rep
January 2025
Department of Epidemiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita- ku, Okayama, Japan.
The long-term effects of cesarean delivery (CD) on child health and development remain controversial. This study aimed to investigate these effects using an outcome-wide approach in a Japanese context, where perinatal mortality rates are among the world's lowest. We analyzed data from 2,114 children in a nationwide Japanese birth cohort, linking the 21st Century Longitudinal Survey of Newborns with the Perinatal Research Network database.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!