Evidence map›Paper›PMID 42365244›Full record

ArticleBMC pregnancy and childbirth2026

Aetiology, survival time and mortality predictors among early neonates at two tertiary hospitals of Lusaka, Zambia.

Makasa Musonda, Kaonga Patrick, Jacobs Choolwe, Vwalika Bellington

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Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Makasa MusondaDepartment of Epidemiology and Biostatistics, University of Zambia School of Public Health, Lusaka, Zambia. mcmakasa@gmail.com.
Kaonga PatrickDepartment of Epidemiology and Biostatistics, University of Zambia School of Public Health, Lusaka, Zambia.
Jacobs ChoolweDepartment of Epidemiology and Biostatistics, University of Zambia School of Public Health, Lusaka, Zambia.
Vwalika BellingtonWomen and Newborn Hospital, School of Medicine, Department of Obstetrics and Gynaecology, University Teaching Hospital, Lusaka, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver 2.3 million neonatal deaths occurred globally in 2022, representing 1 in 58 newborns, with neonatal deaths of about 6,300 every day. Of these, 73% died in the early neonatal period and one third within 24 h. Despite the 47% globally neonatal deaths decline from 2000 to 2015, Zambia's perinatal and neonatal mortality rates have remained high at 33 and 27 per 1000 total births, respectively. This study aimed to determine the aetiology of early neonatal deaths and to analyse survival time and mortality predictors among normal and low birthweight early neonates in the neonatal intensive care units at two tertiary hospitals of Lusaka, Zambia.

methodsA prospective cohort study was conducted involving neonatal deaths that occurred in the neonatal intensive care units at the Women Newborn Hospital (WNH) and Levy Mwanawasa Teaching Hospital (LMUTH) tertiary hospitals of Lusaka, Zambia from September 1, 2023 to January 30, 2024. Data were analysed using SPSS Version 30. Associations with death were studied using Chi square and Fischer's exact tests. Descriptive statistics were used to summarise frequency distributions, and cox proportional hazard regression to analyze predictors of early neonatal deaths and survival time.

resultsAmong the 404 participants, prematurity, sepsis, birth asphyxia and congenital anomalies were notable causes of death. A total of 62 neonates (42.5%) died within the first 30 min of admission, while 224 (58.8%) died within 1.5 h of arrival. Predictors of shorter neonatal survivor included maternal age > 35 AHR 5.70 (95% CI: 1.41-23.10, p < 0.015), foetal seizures AHR 1.81 (95% CI: 1.33-2.46, p < 0.0001), ANC booking had strong association with birthweight (p = 0.001) but was not in the adjusted model. and Rhesus negative 10 (2.5%) AHR 4.48 (95% CI: 1.58-12.70, p < 0.005). Low birthweight babies had AHR 1.95 (1.33-2.86, p < 0.001), walking and use of public transport to hospital had AHR 4.99 (95% CI: 1.07-23.28, p < 0.041) and 4.24 (95% CI: 1.10-16.36, p < 0.036), respectively and foetal anomalies AHR 2.48 (95% CI: 1.25-4.94, p < 0.010).

conclusionAlmost 60% of early neonatal deaths occurred within 1.5 h of admission, with the majority (42%) having been within 30 min. Major causes of death included prematurity, sepsis, birth asphyxia, and congenital anomalies. Predictors to shorter survival time highlight critical areas that need attention. There is need to strengthen health promotion on the importance of early antenatal booking. This will enhance early detection of disease, targeted interventions to manage of high-risk pregnancies and access to comprehensive emergency obstetrics and neonatal care sites.

Indexed as

Infant MortalityAsphyxia NeonatorumCause of DeathCongenital AbnormalitiesFemaleHumansInfantInfant, Low Birth WeightInfant, NewbornIntensive Care Units, NeonatalMalePregnancyProspective StudiesRisk FactorsTertiary Care CentersZambiaCausesEarly neonatal deathLow birthweightPredictorsSurvival time

Identifiers

PMID42365244
PMCPMC13579716

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