ArticlePloS one2022
Survival status and predictors of mortality among low-birthweight neonates admitted to KMC units of five public hospitals in Ethiopia: Frailty survival regression model.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- Incidence of mortality and its predictors among low birth weight neonates in Ethiopia: Systematic review and meta-analysis.PloS one · 2026Pooled it
- Incidence and predictors of mortality among low birth weight neonates in Africa: a systematic review and meta-analysis.Frontiers in pediatrics · 2025Pooled it
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- Neonatal mortality and survival of low-birth-weight infants at hospitals in indonesia, a multi center study.Scientific reports · 2025Article
- Machine learning based prediction of low birth weight and its associated risk factors: Insights from the Bangladesh Demographic and Health Survey 2022.PLOS global public health · 2025Article
- Prevalence of low birth weight and associated factors in Ethiopia: An umbrella review of systematic review and meta-analyses.PLOS global public health · 2025Article
- Intrauterine growth restriction, prematurity, and low birth weight: risk phenotypes of neonatal death, Rio de Janeiro State, Brazil.Cadernos de saude publica · 2023Article
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5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow birth weight (LBW) and preterm birth are leading causes of under-five and neonatal mortality globally. Data about the timing of death and outcomes for LBW and preterm births are limited in Ethiopia and could be used to strengthen neonatal healthcare. This study describes the incidence of neonatal mortality rates (NMR) stratified by newborn size at birth for gestational age and identifies its predictors at five public hospitals in Ethiopia.
methodsA prospective follow-up study enrolled 808 LBW neonates from March 2017 to February 2019. Sex-specific birthweight for gestational age percentile was constructed using Intergrowth 21st charts. Mortality patterns by birthweight for-gestational-age-specific survival curves were compared using the log-rank test and Kaplan-Meier survival curves. A random-effects frailty survival model was employed to identify predictors of time to death.
resultsAmong the 808 newborns, the birthweight distribution was 3.2% <1000 g, 28.3% <1500 g, and 68.1% <2000 g, respectively. Birthweight for gestational age categories were 40.0% both preterm and small for gestational age (SGA), 20.4% term SGA, 35.4% appropriate weight for gestational age, and 4.2% large for gestational age (LGA). The sample included 242 deaths, of which 47.5% were both preterm and SGA. The incidence rate of mortality was 16.17/1000 (95% CI 14.26-18.34) neonatal-days of observation. Neonatal characteristics independently related to increased risk of time-to-death were male sex (adjusted hazards ratio [AHR] 3.21 95% CI 1.33-7.76), born preterm (AHR 8.56 95% CI 1.59-46.14), having been diagnosed with a complication (AHR 4.68 95% CI 1.49-14.76); some maternal characteristics and newborn care practices (like lack of effective KMC, AHR 3.54 95% CI 1.14-11.02) were also significantly associated with time-to-death.
conclusionsHigh mortality rates were measured for low birthweight neonates-especially those both preterm and SGA births-even in the context of tertiary care. These findings highlight the need for improved quality of neonatal care, especially for the smallest newborns.
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