Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort study
Abstract Background Preterm related complications are the single largest direct cause of neonatal deaths throughout the world, responsible for 35% of the world’s neonatal death (1.1 million deaths/year). In Ethiopia preterm related complications are still the leading cause of neonatal mortality. Ide...
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BMC
2022-03-01
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Series: | BMC Pediatrics |
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Online Access: | https://doi.org/10.1186/s12887-022-03176-7 |
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author | Dires Birhanu Bereket Gebremichael Tewodros Tesfaye Misrak Tadesse Fekadeselassie Belege Yohannes Godie Markos Wodaje Eyerusalem Tamiru |
author_facet | Dires Birhanu Bereket Gebremichael Tewodros Tesfaye Misrak Tadesse Fekadeselassie Belege Yohannes Godie Markos Wodaje Eyerusalem Tamiru |
author_sort | Dires Birhanu |
collection | DOAJ |
description | Abstract Background Preterm related complications are the single largest direct cause of neonatal deaths throughout the world, responsible for 35% of the world’s neonatal death (1.1 million deaths/year). In Ethiopia preterm related complications are still the leading cause of neonatal mortality. Identifying the hazard time to death and predictors of mortality play an important role to decrease preterm mortality. Therefore, this study aimed to determine the survival and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. Method An institutional based prospective follow up study was conducted among 358 preterm neonates admitted to selected public hospitals of Addis Ababa, Ethiopia from February 12 to May 12, 2021. Systematic random sampling was used to recruit each sample and data was collected prospectively using structured questioner. Epi-data version 4.6 and STATA version 16 was used to data entry and analysis respectively. Kaplan Meier failure curve, Log rank tests were computed. Schoenfeld residual test was used to check overall model fitness. Cox proportional hazards models were fitted to identify independent predictors of preterm mortality. Result At the end of this cohort, 125(34.9%) of the neonates died, with incidence rate of 36.4/1000 (CI: 0.031–0.044) person-day with the median time to death of 6 days. Born from antepartum hemorrhage mother (AHR: 3.1, CI; 1.4–6.6), lack of Kangaroo mother care (AHR: 5.8, CI; 2.37–14.33), unable to start feeding with in 24 h of admission (AHR: 6.4, CI: 3.33–12.28), apnea (AHR: 2.4, CI: 1.3–4.7) and dehydration (AHR: 2.33, CI: 1.3–4.3) were the identified predictors of time to death. Conclusion and recommendation The first 7 days of admission was the hazard time to death with median time of 6 days. Being born to antepartum hemorrhage mother, lack of Kangaroo mother care, unable to start feeding with 24-h, Apnea and dehydration were the predictors of time to death. Therefore, intervention that focuses on the identified predictors could have a paramount effect to prolong time to death and reduce preterm mortality. |
first_indexed | 2024-12-18T11:16:17Z |
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institution | Directory Open Access Journal |
issn | 1471-2431 |
language | English |
last_indexed | 2024-12-18T11:16:17Z |
publishDate | 2022-03-01 |
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spelling | doaj.art-45ad830e65aa4a539ba04e7f0089b3182022-12-21T21:09:55ZengBMCBMC Pediatrics1471-24312022-03-0122111210.1186/s12887-022-03176-7Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort studyDires Birhanu0Bereket Gebremichael1Tewodros Tesfaye2Misrak Tadesse3Fekadeselassie Belege4Yohannes Godie5Markos Wodaje6Eyerusalem Tamiru7Dilla University, College of Health ScienceAddis Ababa University, College of Health ScienceAddis Ababa University, College of Health ScienceJohns Hopkins University School of MedicineWollo University, College of Medicine and Health sciencesGahndi Memorial HospitalSt. Peter Specialized HospitalSt. Peter Specialized HospitalAbstract Background Preterm related complications are the single largest direct cause of neonatal deaths throughout the world, responsible for 35% of the world’s neonatal death (1.1 million deaths/year). In Ethiopia preterm related complications are still the leading cause of neonatal mortality. Identifying the hazard time to death and predictors of mortality play an important role to decrease preterm mortality. Therefore, this study aimed to determine the survival and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. Method An institutional based prospective follow up study was conducted among 358 preterm neonates admitted to selected public hospitals of Addis Ababa, Ethiopia from February 12 to May 12, 2021. Systematic random sampling was used to recruit each sample and data was collected prospectively using structured questioner. Epi-data version 4.6 and STATA version 16 was used to data entry and analysis respectively. Kaplan Meier failure curve, Log rank tests were computed. Schoenfeld residual test was used to check overall model fitness. Cox proportional hazards models were fitted to identify independent predictors of preterm mortality. Result At the end of this cohort, 125(34.9%) of the neonates died, with incidence rate of 36.4/1000 (CI: 0.031–0.044) person-day with the median time to death of 6 days. Born from antepartum hemorrhage mother (AHR: 3.1, CI; 1.4–6.6), lack of Kangaroo mother care (AHR: 5.8, CI; 2.37–14.33), unable to start feeding with in 24 h of admission (AHR: 6.4, CI: 3.33–12.28), apnea (AHR: 2.4, CI: 1.3–4.7) and dehydration (AHR: 2.33, CI: 1.3–4.3) were the identified predictors of time to death. Conclusion and recommendation The first 7 days of admission was the hazard time to death with median time of 6 days. Being born to antepartum hemorrhage mother, lack of Kangaroo mother care, unable to start feeding with 24-h, Apnea and dehydration were the predictors of time to death. Therefore, intervention that focuses on the identified predictors could have a paramount effect to prolong time to death and reduce preterm mortality.https://doi.org/10.1186/s12887-022-03176-7PretermSurvivalTime to deathPredictorsAddis Ababa |
spellingShingle | Dires Birhanu Bereket Gebremichael Tewodros Tesfaye Misrak Tadesse Fekadeselassie Belege Yohannes Godie Markos Wodaje Eyerusalem Tamiru Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort study BMC Pediatrics Preterm Survival Time to death Predictors Addis Ababa |
title | Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort study |
title_full | Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort study |
title_fullStr | Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort study |
title_full_unstemmed | Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort study |
title_short | Survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. A prospective cohort study |
title_sort | survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of addis ababa public hospitals ethiopia 2021 a prospective cohort study |
topic | Preterm Survival Time to death Predictors Addis Ababa |
url | https://doi.org/10.1186/s12887-022-03176-7 |
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