Survival and predictors among preterm neonates admitted at University of Gondar comprehensive specialized hospital neonatal intensive care unit, Northwest Ethiopia

Abstract Background Prematurity accounts about 1 million neonatal deaths worldwide and the second causes of both neonatal and under five-child mortality. Neonatal mortality accounts for 43% of under-five child mortality in Ethiopia. From this preterm is the second leading cause of death and is stead...

Full description

Saved in:
Bibliographic Details
Main Authors: Ayenew Engida Yismaw (Author), Abebaw Addis Gelagay (Author), Malede Mequanent Sisay (Author)
Format: Book
Published: BMC, 2019-01-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_ba56ac77bdfb4606a2d95e4c8247e3cf
042 |a dc 
100 1 0 |a Ayenew Engida Yismaw  |e author 
700 1 0 |a Abebaw Addis Gelagay  |e author 
700 1 0 |a Malede Mequanent Sisay  |e author 
245 0 0 |a Survival and predictors among preterm neonates admitted at University of Gondar comprehensive specialized hospital neonatal intensive care unit, Northwest Ethiopia 
260 |b BMC,   |c 2019-01-01T00:00:00Z. 
500 |a 10.1186/s13052-018-0597-3 
500 |a 1824-7288 
520 |a Abstract Background Prematurity accounts about 1 million neonatal deaths worldwide and the second causes of both neonatal and under five-child mortality. Neonatal mortality accounts for 43% of under-five child mortality in Ethiopia. From this preterm is the second leading cause of death and is steadily increased in low-income countries. Therefore, the aim of this study was to assess time to death and predictors among preterm neonates admitted in University of Gondar comprehensive specialized hospital neonatal intensive care unit North West Ethiopia 2018. Methods Institution-based retrospective follow-up study was conducted among 516 preterm neonates from January 2016 to March 2018. Data were extracted retrospectively from patients' records using a pretested structured checklist. Descriptive summary statistics like median survival time, Kaplan Meier failure estimation curve and Log-rank test were computed. Bivariate and multivariable Gompertz parametric hazards models were fitted to identify the predictors of mortality. Hazard ratio with a 95% confidence interval was calculated and p-values < 0.05 were considered statistically significant. Results The proportion of preterm neonatal death in this study was 28.8% (95%CI (25.1, 32.9)). Home delivery (AHR = 2.25, 95% CI (1.03, 4.88)), hyaline membrane disease (AHR =3.21, 95% CI (1.96, 5.25)), gestational age, (AHR = 0.82, 95% CI (0.74, 0.91)), cry immediately at birth (AHR = 1.74, 95% CI (1.19, 2.53)), kangaroo mother care (AHR = 0.24, 95%CI (0.11, 0.52)), presence of jaundice (AHR = 1.62, 95%CI (1.12, 2.54)) and hypoglycemia at admission (AHR = 1.75, 95%CI (1.21, 2.54)) were found to be significant predictors of time to death for preterm neonates. Conclusion Proportion of preterm neonatal death in this study was high. Home delivery, Jaundice, hypoglycemia, gestational age, cry immediately at birth, kangaroo mother care and hyaline membrane disease were significant predictors of time to death. 
546 |a EN 
690 |a Ethiopia 
690 |a Preterm neonate 
690 |a Time to death 
690 |a Neonatal intensive care unit 
690 |a Pediatrics 
690 |a RJ1-570 
655 7 |a article  |2 local 
786 0 |n Italian Journal of Pediatrics, Vol 45, Iss 1, Pp 1-11 (2019) 
787 0 |n http://link.springer.com/article/10.1186/s13052-018-0597-3 
787 0 |n https://doaj.org/toc/1824-7288 
856 4 1 |u https://doaj.org/article/ba56ac77bdfb4606a2d95e4c8247e3cf  |z Connect to this object online.