Survival of Preterm Singleton Deliveries: A Population-Based Retrospective Study

Ibrahimou, Boubakari; Kodali, Sireesha; Salihu, Hamisu M.

doi:10.1155/2015/858274

Cited by 5 publications

(5 citation statements)

References 20 publications

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“…Neonates who had RDS were one times more likely to die as compared to those who did not have RD. Consistent results have been recorded in our countries and other studies [32,34,38,45].…”

Section: Discussionsupporting

confidence: 94%

The magnitude of neonatal mortality and its predictors in Ethiopia: a systematic review and meta-analysis

Asmare

Shibabaw

Akalu

et al. 2019

Preprint

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AbstractsBackground: Although neonatal death is a global burden, it is the highest in Sub Saharan Africa countries such as Ethiopia. This study was aimed to provide pooled national prevalence and predictors of neonatal mortality in Ethiopia. Objective:To assess the pooled prevalence and predictors of neonatal mortality in Ethiopia.Search Strategy: global databases were systematically explored. Systematically searched using the following databases: Boolean operator, Cochrane library, PubMed, EMBASE, HINARI, and Google Scholar. Selection, screening, reviewing and data extraction was done by two reviewers independently using Microsoft excel spread sheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence Selection criteria: All studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included Data Collection and Analysis: Data were extracted using a Microsoft Excel spreadsheet software and imported into STATA Version 14 s for further analysis. The pooled effect size with 95% confidence interval of neonatal mortality rate was determined using a weighted inverse variance random-effects model. Publication bias was checked using funnel plots, Egger's and bagger's regression test. Heterogeneity also checked by Higgins's method. A random effects meta-analysis model was computed to estimate the pooled effect size (i.e. prevalence and odds ratio). Moreover, subgroup analysis based on region, sample size and study design were done. Results:After reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. The pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 11.9, 20.7, I 2 =88.6%). The subgroup analysis indicated that the highest prevalence was observed in Amhara region with a prevalence of 20.3% (95% CI: 9.6, 31.1, I 2 =98.8) followed by Oromia, 18.8% (95%CI: 11.9,49.4, I 2 =99.5). Gestational age AOR,1.14 (95% CI: 0.94 ,1.3), neonatal sepsis (OR:1.2(95% CI: 0.8, 1.5), respiratory distros (OR: 1.2(95% CI: 0.8, 1.5) and place of residency (OR:1.93 (95% CI:1.1,2.7) were the most important predictor.Conclusions: neonatal mortality in Ethiopia was significantly decreased than the national report.There was evidence that neonatal sepsis, gestational age, respiratory distress were the significant predictors. We strongly recommended that health care workers should give a priority for the identified predictors.

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“…Neonates who had RDS were one times more likely to die as compared to those who did not have RD. Consistent results have been recorded in our countries and other studies [32,34,38,45].…”

Section: Discussionsupporting

confidence: 94%

The magnitude of neonatal mortality and its predictors in Ethiopia: a systematic review and meta-analysis

Asmare

Shibabaw

Akalu

et al. 2019

Preprint

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“…This is in line with study findings in Cameroon, South Africa, South Sudan, and Mauritanian [ 42 , 43 ]. However, our finding was lower than the UNICEF national 2016 report [ 3 , 5 ] and other national reports in Africa [ 44 , 45 ], Europe, USA, and Central and West Asia [ 46 – 48 ]. This marked difference might be attributed to difference in methodology, sample size, study period, and geographic area.…”

Section: Discussioncontrasting

confidence: 87%

“…International Journal of Pediatrics than the UNICEF national 2016 report [3,5] and other national reports in Africa [44,45], Europe, USA, and Central and West Asia [46][47][48]. This marked difference might be attributed to difference in methodology, sample size, study period, and geographic area.…”

Section: Discussionmentioning

confidence: 99%

The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis

Aynalem

Shiferaw

Akalu

et al. 2021

International Journal of Pediatrics

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Background. Although neonatal death is a global burden, it is the highest in sub-Saharan African countries such as Ethiopia. Moreover, there is disparity in the prevalence and associated factors of studies. Therefore, this study was aimed at providing pooled national prevalence and predictors of neonatal mortality in Ethiopia. Methods. The following databases were systematically explored to search for articles: Boolean operator, Cochrane Library, PubMed, EMBASE, Hinari, and Google Scholar. Selection, screening, reviewing, and data extraction were done by two reviewers independently using Microsoft Excel spreadsheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence. All studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included. Data were extracted using Microsoft Excel spreadsheet software and imported into Stata version 14s for further analysis. Publication bias was checked using funnel plots and Egger’s and Begg’s tests. Heterogeneity was also checked by Higgins’s method. A random effects meta-analysis model with 95% confidence interval was computed to estimate the pooled effect size (i.e., prevalence and odds ratio). Moreover, subgroup analysis based on region, sample size, and study design was done. Results. After reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. Pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 12.1, 20.6, I 2 = 98.8 % ). The subgroup analysis indicated that the highest prevalence was observed in the Amhara region, 20.3% (95% CI: 9.6, 31.1), followed by Oromia, 18.8% (95% CI: 11.9, 49.4). Gestational age [AOR: 1.32 (95% CI: 1.07, 1.58)], neonatal sepsis [AOR: 1.23 (95% CI: 1.05, 1.4)], respiratory distress syndromes (RDS) [AOR: 1.18 (95% CI: 0.87, 1.49)], and place of residency [AOR: 1.93 (95% CI: 1.13, 2.73)] were the most important predictors. Conclusions. Neonatal mortality in Ethiopia was significantly decreased. There was evidence that neonatal sepsis, gestational age, and place of residency were the significant predictors. RDS were also a main predictor of mortality even if not statistically significant. We strongly recommended that health care workers should give a priority for preterm neonates with diagnosis with sepsis and RDS.

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“…In this study, an increment in gestational age at birth by one week decreases the hazard of preterm neonatal deaths by 19%. This nding is in line with studies reported from the United States (12), China (21), Gonder (18), and Addis Ababa, Ethiopia (32). A possible reason for this might be as the gestational age of the neonates at birth increases, the maturity of the fetus will be enhanced, and the risk of developing life-threatening complications related to prematurity decreases and which might contribute to a reduced risk of preterm neonatal death.…”

Section: Discussionsupporting

confidence: 93%

Survival Status and Predictors of Mortality Among Preterm Neonates in Southwest Ethiopia: A Retrospective Cohort Study

Toma

Merga

Dube

2021

Preprint

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Background: Prematurity is a global public health priority linked with high neonatal morbidity and mortality. There is limited evidence regarding preterm neonatal mortality and its predictors to inform programs and policies in Ethiopia. The aim of this study was therefore to assess survival status and predictors of mortality among preterm neonates admitted to the neonatal intensive care unit of Jimma University Medical Center. Methods: Facility-based retrospective cohort study was conducted from March 11 to April 20, 2020, among 505 randomly selected preterm neonates admitted to the Neonatal Intensive Care Unit (NICU) of Jimma University Medical Center (JUMC). Data were collected from medical records and registers using a structured data collection checklist. Data were entered into Epi-Data 3.1, exported to, and analyzed with STATA version 15. Kaplan Meir method and log-rank test were used to estimate survival time, and compare survival experience. Cox-regression analysis was fitted to identify predictors of time to death. The assumption of the proportional hazard model was checked using Schoenfeld residual test. Adjusted hazard ratio (AHR) with its 95% confidence interval (CI) and corresponding p-value <0.05 was set to declare statistical significance. Result: In this study, 127 (25.1%) neonates died with neonatal morality rate of 28.9 deaths per 1,000 neonate-days [95%CI: 24.33, 34.46]. About 103 (81.1%) deaths occurred during early neonatal period. Antenatal steroid use [AHR=0.55, 95%CI: 0.34, 0.90], obstetric complications [AHR=1.84, 95%CI: 1.20, 2.82], gestational age increment by week [AHR= 0.81, 95%CI: 0.75, 0.87], respiratory distress syndrome [AHR=1.52, 95%CI: 1.01, 2.29], neonatal sepsis [AHR=1.71, 95%CI: 1.18, 2.49], perinatal asphyxia [AHR=2.44, 95%CI: 1.33, 4.49], and receiving kangaroo-mother care [AHR=0.48, 95%CI: 0.30, 0.77] were predictors of preterm neonatal mortality.Conclusion: Preterm neonatal mortality rate was high. Most neonatal deaths occurred in the early neonatal period. Predictors of preterm neonatal mortality were antenatal steroid use, obstetric complications, gestational age increment by week, respiratory distress syndrome, neonatal sepsis, perinatal asphyxia, and receiving kangaroo-mother care. Hence, early detection and management of obstetric and neonatal complications, use of antenatal steroids, kangaroo-mother care, and ensuring a continuum of care should be strengthened to increase preterm neonatal survival.

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Survival of Preterm Singleton Deliveries: A Population-Based Retrospective Study

Cited by 5 publications

References 20 publications

The magnitude of neonatal mortality and its predictors in Ethiopia: a systematic review and meta-analysis

The magnitude of neonatal mortality and its predictors in Ethiopia: a systematic review and meta-analysis

The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis

Survival Status and Predictors of Mortality Among Preterm Neonates in Southwest Ethiopia: A Retrospective Cohort Study

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