ArticleBMJ open2023
Incidence and predictors of respiratory distress syndrome among low birth weight neonates in the first seven days in Northwest Ethiopia Comprehensive Specialized Hospitals, 2023: A retrospective follow-up study.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Pooled it
- Causal Effects of Common Pregnancy Complications on Neonatal Birth Weight: A Mendelian Randomization Study.International journal of women's health · 2026Article
- Association between placental histological chorioamnionitis and respiratory distress syndrome in preterm infants: a retrospective cohort study.Frontiers in pediatrics · 2026Article
- Prevalence of respiratory distress syndrome among late preterm infants admitted to a neonatal intensive care unit in Saudi Arabia: A retrospective study.Saudi medical journal · 2025Article
- Systemic immune-inflammation index predicts acute histologic chorioamnionitis pathologic staging and neonatal respiratory distress syndrome in women with preterm premature rupture of membranes: a retrospective cohort study.BMC pregnancy and childbirth · 2025Article
- Incidence and predictors of respiratory distress among neonates admitted to neonatal intensive care unit, Northwest Ethiopia.Scientific reports · 2025Article
- Optimising neonatal bubble continuous positive airway pressure: A Somaliland quality initiative.African journal of primary health care & family medicine · 2025Article
- Immunoinflammatory markers SIRI and NAR as predictors of respiratory distress syndrome and secondary infections in premature infants.Frontiers in cellular and infection microbiology · 2024Article
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11 authors at 6 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionRespiratory distress syndrome is a catastrophic respiratory problem among low birth weight neonates. It increases the suffering of neonates and the economic expenditure of the countries. Notably, it is a major public health issue in low-income and middle-income countries such as Ethiopia. Despite this, studies regarding respiratory distress syndrome among low birth weight neonates were limited in Ethiopia.
objectiveTo assess the incidence and predictors of respiratory distress syndrome among low birth weight neonates in the first 7 days in Northwest Ethiopia Comprehensive Specialized Hospitals.
methodMulticentred institution-based retrospective follow-up study was conducted from 19 September 2021 to 1 January 2023, among 423 low birthweight neonates. A simple random sampling technique was used. The data were collected using a data extraction checklist from the medical registry of neonates. The collected data were entered into EPI-DATA V.4.6.0.6. and analysed using STATA V.14. The Kaplan-Meier failure curve and log-rank test were employed. Bivariable and multivariable Weibull regression was carried out to identify predictors of respiratory distress syndrome. Statistical significance was declared at a p≤0.05.
resultThe incidence rate of respiratory distress syndrome was found to be 10.78 (95% CI 9.35 to 12.42) per 100 neonate days. Fifth minute Appearance, Pulse, Grimace, Activity, Respiration (APGAR score) <7 (AHR 1.86; 95% CI 1.18 to 2.92), multiple pregnancy (AHR 1.43; 95% CI 1.04 to 1.96), caesarean section delivery (AHR 0.62; 95% CI 0.41 to 0.93), prematurity (AHR 1.56; 95% CI 1.06 to 2.30) and birth weight <1000 g (AHR 3.14; 95% CI 1.81 to 5.40) and 1000-1499 g (AHR 2.06; 95% CI 1.42 to 2.83) were significant predictors.
conclusionThe incidence of respiratory distress syndrome was higher than other studies conducted on other groups of neonates. Multiple pregnancy, fifth minute APGAR score, caesarean section, prematurity, extremely low birth weight and very low birth weight were predictors of respiratory distress syndrome. However, it needs further prospective study. Therefore, the concerned stakeholders should give due attention and appropriate intervention for these predictors.
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