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Background: The neonatal period, the first 28 days of life, it is the most crucial time for Childs
survival in which changes are very rapid and many critical events can occur. It the most
vulnerable period; newborns face the highest risk of dying.
Objectives:The aim of this study was to assess the admission rate, to find out predictors to
neonatal intensive care unit admission and neonatal survival.
Subjects and Methods: Hospital -based prospective cohort study was conducted from August
30 to October 30 2020 at HUCSH and AGH, Hawassa, southern Ethiopia, The samples were
obtained by consiquetive sampling technique. The obtained datawere analyzed by using SPSS
version 23, bivariate and multivariate analyses weredone to identify associations between
dependent and independent variables. Kaplan Meier survival curve with log-rank test was fitted
to test the survival time of the neonates. Cox regression analysis was used to identify potential
predictors of neonatal survival.
Results - Response were obtained from 252 neonate‟s mothers who deliver in the study
hospitals. From the neonates under follow up 31 were admitted to neonatal intensive care units
of the hospitals, this give admission rate to neonatal intensive care unit, among inborn neonates
12.3%. The cumulative survival rate of neonates was, 92.5%. Maternal chronic illness, ANC
follow up, pregnancy related complications were identified as predictors for NICU admission
.5th minute APGAR, duration of labour and pregnancy related complications were among
predictors significantly associated with neonatal survival.
Conclusion: The admission rate to NICU was 12.3 %, cumulative survival rate was 92.5%.
Maternal chronic illness, ANC follow up, pregnancy related complications were identified as
predictors for NICU admission .5th minute APGAR, duration of labour and pregnancy related
complications were among predictors significantly associated with neonatal survival |
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