Escalating the limit of median survival time and predictors of mortality among preterm neonates in Northwest Ethiopia, 2021: a 1-year prospective follow-up study

Chanie, Ermias Sisay; Engedaw, Destaw; Eyayu, Tahir; Admasu, Fitalew Tadele; Amera, Eninur Dejen; Azanaw, Kefyalew Amogne; Kassaw, Amare; Feleke, Dejen Getaneh; Ayehu, Gashaw Walle; Jimma, Melkamu Senbeta; GebreEyesus, Fisha Alebel; Moges, Natnael; Woelile, Tamiru Alene; Kerebeh, Gashaw; Birrie, Endalk

doi:10.1136/bmjopen-2022-061385

Cited by 2 publications

(4 citation statements)

References 31 publications

(58 reference statements)

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“…As described in Table 2, all the selected studies were published between 2015 and 2023. Eight studies were conducted in Amhara, 13,14,18,[23][24][25][26][27] three studies were in the Oromia, 16,17,20 and two studies were in Southern nations nationalities and peoples region, 21,28 In Addis Ababa, there were two studies, 15,19 and one study was in Tigray region 22 of Ethiopia. However, in terms of study design, two studies were prospective cohorts, while 14 studies 13,14,[16][17][18][19][20][21][22][23][24]26,27 were retrospective cohorts.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…However, in terms of study design, two studies were prospective cohorts, 19,23 while 14 studies. [13][14][15][16][17][18]20,21,[24][25][26][27][28] The selected studies had sample sizes ranging from 283 to 723 preterm neonates, with 8,395 preterm neonates participating in total.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…The total persontime under observation ranged from 3,061 to 7,501 person-days at risk. Ten of the selected studies were published in different journals, 15,16,19,[21][22][23][24][25][26][27] three studies were masters science thesis, 13,14,20 and three studies were preprint 17,18,28 (Table 2).…”

Section: Study Characteristicsmentioning

confidence: 99%

“…12 Generally, reports from studies done on preterm neonates treated at different health facilities in Ethiopia showed inconsistent preterm survival rates and its predictors. [13][14][15][22][23][24][25][26][27][28] Therefore, this study aimed to assess the pooled incidence of preterm mortality and its predictors among preterm neonates treated at different levels of health facilities in Ethiopia.…”

Section: Introductionmentioning

confidence: 99%

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Incidence and Predictors of Preterm Mortality in Ethiopia: A Systematic Review and Meta-analysis

Solbana,

Etana,

Nazi

et al. 2024

Journal of Neonatology

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Introduction: Preterm birth complication is the first leading cause of neonatal mortality in Ethiopia. In this study, the pooled prevalence and predictors of preterm mortality in Ethiopia were assessed. Methods: The research protocol was registered to PROSPERO under the CRD42023415334 registration number. PubMed, Google Scholar, Cochrane Library, and Hinari databases were searched for studies up to April 10, 2023. Cohort studies on the incidence of preterm mortality and its predictors in Ethiopia were included in this review. This review was reported using the preferred reporting items for systematic reviews and meta-analyses checklist. We extracted data from the selected papers and exported to R 4.2.3 and STATA version 15.0 for estimating pooled incidence proportion, density rate, and adjusted hazard ratio (AHR). By looking at the funnel plot and using Egger’s test, the publication bias was assessed. This study didn’t receive funds from any organization. Results: From 152 identified studies, 16 studies were selected for final analysis. The pooled incidence proportion and incidence density of preterm mortality were 30% (95% CI: 27%–32%) and 40 (95% CI: 30–40) per 1,000-person days, respectively. Being a male (AHR = 1.43, 95% CI: 1.09, 1.78), gestational age (0.83, 95% CI: 0.80, 0.87), born before 32 weeks (AHR = 2.15, 95% CI: 1.15, 3.84), antepartum hemorrhage (AHR = 2.46, 95% CI: 1.07, 3.84), the fifth minute Apgar rating less than seven (AHR = 1.84, 95% CI: 1.43, 2.25), birth asphyxia (AHR = 1.87, 95% CI; 1.59, 2.14), birth weight 1,000–1,499 g (AHR = 3.63, 95% CI: 1.69, 5.57), respiratory distress syndrome (AHR = 1.80, 95% CI: 1.59, 2.02), jaundice (AHR = 2.39, 95% CI: 1.16, 3.61), neonatal sepsis (AHR = 1.54, 95% CI: 1.25, 1.83), and not using kangaroo mother care (AHR =1.92, 95% CI: 1.11, 2.72) were predictors of time to death of preterm. Conclusions: Almost one third of preterm neonates treated at different health facilities in Ethiopia failed to survive to the first four weeks of life. Because every study that was included was an institution-based cohort study, the results may not generalized to preterm newborns who were not hospitalized at medical facilities.

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Section: Study Characteristicsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Incidence and Predictors of Preterm Mortality in Ethiopia: A Systematic Review and Meta-analysis

Solbana,

Etana,

Nazi

et al. 2024

Journal of Neonatology

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Incidence and Predictors of Mortality Among Preterm Neonates Admitted to Neonatal Intensive Care Units in Comprehensive Specialized Hospitals in Northeast Ethiopia: A Multi-Center Prospective Follow-Up Study

Birhanu,

Tarekegn,

Endeshaw

et al. 2024

Preprint

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Background Despite numerous efforts, preterm mortality remains a significant public health burden in Ethiopia. Therefore, this study aimed to assess the incidence and predictors of preterm mortality among preterm neonates admitted to Comprehensive Specialized Hospitals in Northeast Ethiopia in 2024. Methods A multi-center prospective follow-up study conducted at the institutional level involved 356 preterm neonates, selected through consecutive sampling. A Weibull proportional hazards model was fitted to identify predictors of preterm neonatal mortality. Result The preterm neonatal mortality rate was 72 per 1,000 person-days of observation. The median time to death was 10 days (IQR = 7–20 days). Predictors of preterm neonatal mortality included young maternal age (15–19 years) [AHR 2.73 (95% CI: 1.3–5.9)], extremely low birth weight [AHR 2.4 (95% CI: 1.24–4.6)], respiratory distress syndrome [AHR 2.3 (95% CI: 1.34–3.8)], early preterm birth [AHR 1.8 (95% CI: 1.1–3)], lack of kangaroo mother care [AHR 2.2 (95% CI: 1.54–3.21)], multiple pregnancy [AHR 2.1 (95% CI: 1.1–4.3)], necrotizing enterocolitis [AHR 1.53 (95% CI: 1.1–2.22)], suboptimal continuous positive airway pressure therapy [AHR 1.43 (95% CI: 1.02–2.02)], and congenital anomalies [AHR 2.3 (95% CI: 1.32–3.9)]. Conclusion The current study revealed that preterm neonatal mortality significantly exceeds the national average and is unacceptably high, necessitating immediate intervention. This underscores the urgency to improve optimal childbearing age, optimize continuous positive airway pressure therapy, improve kangaroo mother care practices, and enhance the management of necrotizing enterocolitis and respiratory distress syndrome.

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Escalating the limit of median survival time and predictors of mortality among preterm neonates in Northwest Ethiopia, 2021: a 1-year prospective follow-up study

Cited by 2 publications

References 31 publications

Incidence and Predictors of Preterm Mortality in Ethiopia: A Systematic Review and Meta-analysis

Incidence and Predictors of Preterm Mortality in Ethiopia: A Systematic Review and Meta-analysis

Incidence and Predictors of Mortality Among Preterm Neonates Admitted to Neonatal Intensive Care Units in Comprehensive Specialized Hospitals in Northeast Ethiopia: A Multi-Center Prospective Follow-Up Study

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