ArticlePloS one2022
Incidence, time to recovery and predictors among neonates admitted with respiratory distress to the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021.
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.
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8 citing papers in PubMed, 17 citations in OpenAlex.
- Shared Frailty Survival Analysis of Neonatal Hypothermia and Its Predictors Among Neonates Admitted to the Neonatal Intensive Care Unit at Pawe General Hospital.Health science reports · 2026Article
- Incidence and predictors of respiratory distress among neonates admitted to neonatal intensive care unit, Northwest Ethiopia.Scientific reports · 2025Article
- Hematological parameter changes and associated factors in neonates with hyperbilirubinemia treated with phototherapy.BMC pediatrics · 2025Article
- Time to recovery and its predictors among neonates undergone phototherapy at Comprehensive Specialized hospitals of the Northwest Ethiopia.Scientific reports · 2024Article
- Hematological abnormality and associated factors in newborns with hyperbilirubinemia before and after phototherapy at University of Gondar Comprehensive Specialized Hospital.Scientific reports · 2024Article
- Global, Regional and National Trends in the Burden of Neonatal Respiratory Failure and essentials of its diagnosis and management from 1992 to 2022: a scoping review.European journal of pediatrics · 2024Article
- Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting.Antimicrobial resistance and infection control · 2023Article
- Trends and predictors of in-hospital survival among asphyxiated neonates admitted at Kilimanjaro Christian Medical Center, Northern Tanzania: Retrospective Cohort Study.Sage open pediatricsArticle
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3 authors at 1 institution in 1 country.
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Abstract
backgroundOne of the major factors contributing to newborn morbidity and mortality across the globe is respiratory distress. In resource-constrained developing nations like Ethiopia, it is a significant issue. Depending on the quality of the care provided, the incidence and time to recovery may differ amongst medical facilities. However, Ethiopia still lacks appropriate data on the incidence and time to recovery from respiratory distress.
objectiveThe aim of the study was to assess the incidence, time to recovery, and predictors among neonates admitted with respiratory distress in the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital.
methodsAn institution-based retrospective follow-up study design was conducted among 452 neonates with respiratory distress. Data were collected using a data extraction checklist from the medical registry. The extracted data were entered into EPI INFO version 7.2.1.0 and then exported to STATA version 14 for analysis. The median time to recovery, the Kaplan Meier curve, and the log-rank test was computed. Both bi-variable and multivariable Cox regression models were applied to analyze the data. p-value ≤ 0.05 was considered statistically significant.
resultsOf all respiratory distressed neonate,311 were recovered. The overall incidence rate of neonates admitted with from respiratory distress was 11.5 per 100-neonate day (95% CI: 10.30-12. 87) with 2,703-person day observation and the median time to recovery from respiratory distress was 7 days with (IQR = 3-13 days). Predictors of time to recovery from respiratory distress were very low birth weight (AHR = 0.17, 95% CI: 0.08-0.41), low birth weight (AHR = 0.50, 95% CI: 0.31-0.81), very preterm (AHR = 0.42,95% CI:0.20-0.89), sepsis (AHR = 0.50 95% CI: 0.38-0.65), hypothermia (AHR = 0.61, 95% CI: 0.39-0.81), and Apgar scores less than seven at first (AHR = 0.35, 95% CI: 0.15-0.79) and fifth minute (AHR = 0.45, 95% CI: 0.20-0.97).
conclusionThe incidence and time to recovery in this study were discreetly acceptable as compared to previous study. The aforementioned predictors could be used to identify neonates with respiratory distress who are at risk of developing a long-term illness and guide prompt referral to hospitals. This will also provide clinicians with prognostic information, as longer recovery times have economic and social implications in resource limited countries like Ethiopia.
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