Survival status and predictor of mortality among premature neonate admitted to neonatal intensive care unit from 2013-2017 in tikur anbesa specialized hospital, Addis Ababa, Ethiopia, 2018.
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Date
2018-06
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Addis Ababa University
Abstract
Backgrounds: Premature neonatal death is a global burden both in developed and developing
countries. Despite, different strategies and interventions were implemented to reduced premature
neonatal complications including death, the rate of neonatal mortality in Ethiopia are too far the targets.
Even though published research in developing countries are increasing, scarcity of data regarding to
the survival status and predictor of it is still seen. Therefore, estimating time to death and its predictors
will provide an input for planners and decision makers for neonatal care.
Objectives: To determine survival status and predictor of mortality among premature neonate admitted
to neonatal intensive care unit from 2013-2017 at Tikur Anbesa specialized hospital, Addis Ababa,
Ethiopia, 2018.
Methods: An institution based retrospective follow up study was conducted among 604 premature
neonates that were admitted from [2013 -2017] at TASH, Addis Ababa, Ethiopia. Data were collected
from patient charts using systematic sampling with pretested data extraction tool and entered using
Epi-data 3.1 and analyzed using STATA 14. A Kaplan Meier curve and long rank test were used to
estimate the survival time and compare survival curves between variables. Cox proportional hazard
model were fitted to identify predictors.
Results: In this study, out of 571 participants, 299(52.36%) were female. A total of 170(29.7%)
neonates were died during the follow up period with incidence rate of 39.1 (95%CI:33.59,45.38) per
1000-person day with overall median survival time of 21 days. rural (AHR:0.699(95%CI:0.49,0.98),
maternal diabetic mellitus (AHR:2.29(95%CI:1.43,3.65), neonatal
sepsis(AHR:1.62(95%CI:1.11,2.37), respiratory distress (AHR: 1.54(95%CI=1.03,2.31), extremely
prematurity(AHR:2.87(95%CI:1.61,5.11), low first and fifth minute APGAR score with
(AHR:3.11(95%CI:1.79,5.05) and (AHR:0.51 (95%CI:0.32,0.78) respectively and breast feed
initiating (AHR:2.87 (95%CI:0.29, 0.58) Predictors of .
Conclusion: The incidence of death was found to be high and being male, living in rural, maternal
diabetic mellitus, sepsis, respiratory distress, being extremely premature, low APGAR score and breast
feed initiating were found to be a predictor for time to death of neonates. Hence, it should be better to
give special attention for patients with identified predictors.
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Keywords
censored, incidence, predictors, Preterm neonate, Time to death, occurrence of death, survival status.