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. 2024 Dec 12:12:1426901.
doi: 10.3389/fped.2024.1426901. eCollection 2024.

Smaller babies at risk: birth weight impacts neonatal survival status in Silte zone, Central Ethiopia. A survival analysis of prospective cohort study

Musa Jemal  1 , Abdurezak Kemal  2 , Bekri Mohammed  3 , Delwana Bedru  1 , Shemsu Kedir  1
Affiliations

Smaller babies at risk: birth weight impacts neonatal survival status in Silte zone, Central Ethiopia. A survival analysis of prospective cohort study

Musa Jemal et al. Front Pediatr. .

Abstract

Introduction: Globally, 2.4 million neonates died in their first month of life in 2019 with approximately 6,700 neonatal deaths every day. Ethiopia is 4th among the top 10 countries with the highest number of neonatal deaths. Yet, there are few prospective studies on neonatal mortality in the central region of Ethiopia. Hence, to develop evidence-based, locally tailored intervention strategies, it is necessary to evaluate neonatal survival status and mortality predictors, including birth weight. Therefore, the current study aims to assess survival status and factors predicting the survival of neonates in the Silt'e zone, Ethiopia.

Methods: An institution-based prospective cohort study design was employed from 1 May to 30 July 2022. Data were collected from term neonates who were enrolled according to their order of health facility visit and then followed by data collectors in their homes. Data were analyzed using STATA version 14.1. Neonatal survival was presented using the Kaplan-Meier survival curve. The crude and adjusted associations were evaluated using the Cox proportional-hazards model, presented with a 95% confidence interval (CI), and a P-value <0.05 was used to declare statistical significance.

Result: In total, 1,080 term neonates were followed for a total of 27,643.6 neonatal days. The study showed a 95% cumulative probability of surviving the neonatal period. The incidence rate of neonatal death was 2.02 per 1,000 neonatal days. Maternal history of neonatal death [adjusted hazard ratio (AHR) = 4.03; 95% CI: 2.28-9.52], complication during pregnancy (AHR = 3.08; 95% CI: 1.12-8.25), female sex (AHR = 0.45; 95% CI: 0.25-0.84), birth weight (AHR = 0.27; 95% CI: 0.11-0.63), and a low or intermediate APGAR score at 1 min (AHR = 3.11; 95% CI: 1.23-7.82 and AHR = 5.34; 95% CI: 1.63-17.51, respectively) were independent predictors of neonatal death.

Conclusion: It has been noted that neonatal mortality in this area is higher than results from national studies and other study areas and thus requires strict attention and interventions targeting both the pre and postnatal periods. Babies with low birth weight were found to struggle to survive the neonatal period. Promoting maternal nutrition for normal birth weight of the newborn would thereby improve neonatal survival, and should be followed as a strategy.

Keywords: Central Ethiopia; Silt’e zone; birth weight; neonatal mortality; survival status.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Data collection result for survival status and predictors of mortality among neonates in Silt’e zone, Central Ethiopia, in 2022.
Figure 2
Figure 2
Survival probability with 95% confidence interval of neonates in Silt’e zone, Central Ethiopia, in 2022.
Figure 3
Figure 3
Survivor function of neonates born with different weights in Silt’e zone, Central Ethiopia, in 2022.
Figure 4
Figure 4
Cox–Snell residual plot of neonatal survival data.
See this image and copyright information in PMC

References

    1. UNICEF. Levels and Trends in Child Mortality. Estimates Developed by the UN Inter-Agency Group for Child Mortality Estimation. (2014).
    1. World Health Organization. The Global Health Observatory. Available online at: https://www.who.int/data/gho/indicator-metadata-registry/imr-details/67 (accessed March 11, 2022).
    1. Tujare Tunta Orsido TTO, Netsanet Abera Asseffa NAA, Tezera Moshago Berheto TMB. Predictors of neonatal mortality in neonatal intensive care unit at referral hospital in Southern Ethiopia: a retrospective cohort study. BMC Pregnancy Child Birth. (2019) 19:1–9. 10.1186/s12884-018-2145-y - DOI - PMC - PubMed
    1. Profit J, Gould JB, Draper D, Zupancic JA, Kowalkowski MA, Woodard L, et al. Variations in definitions of mortality have little influence on neonatal intensive care unit performance ratings. J Pediatr. (2013) 162(1):50–5. 10.1016/j.jpeds.2012.06.002 - DOI - PMC - PubMed
    1. Mengesha HG, Wuneh AD, Lerebo WT, Tekle TH. Survival of neonates and predictors of their mortality in Tigray region, Northern Ethiopia: prospective cohort study. BMC Pregnancy Childbirth. (2016) 16(1):202. 10.1186/s12884-016-0994-9 - DOI - PMC - PubMed

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