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Time to death and predictors of mortality among asphyxiated neonates in southwest Ethiopia, 2022: prospective cohort study

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Objective This study aimed to determine the time to death and predictors of mortality among asphyxiated neonates admitted to public hospitals in the southwest region of Ethiopia. Design An institution-based prospective cohort study was conducted. Setting Public hospitals in southwest Ethiopia. Participants A total of 144 asphyxiated neonates, who were admitted to the neonatal intensive care unit, and their mothers participated from March 2022 to 30 September 2022. Data were entered into EpiData V.4.4.2.1 and exported to STATA V.16 for analysis. The Cox proportional hazards model using bivariate (p<0.25) and multivariate (p<0.05) analyses was used to identify the predictors of mortality. The median survival time was estimated using Kaplan-Meier survival estimates. Primary outcome Time to death from asphyxia and its predictors in neonates. Results The mortality incidence rate of asphyxiated neonates was 9.1 deaths per 1000 person-days of observation (95% CI: 7.11 to 11.52) with a median survival time of 8 days, and 45.83% (95% CI: 37.81% to 54.08%) of asphyxiated neonates died. Being male (adjusted HR (AHR) 0.32 (95% CI: 0.14 to 0.76)), neonatal sepsis (AHR 0.321 (95% CI: 0.13 to 0.77)), not receiving kangaroo mother care (AHR 0.16 (95% CI: 0. 07 to 0.39)) and vaginal delivery (AHR 0.39 (95% CI: 0.16 to 0.95)) were independent predictors of mortality of asphyxiated neonates. Conclusions In this study, asphyxiated neonates had a higher incidence of mortality with a median survival time of only 8 days. Being male, vaginal delivery, not receiving kangaroo mother care and comorbidities such as neonatal sepsis were independent predictors of mortality among asphyxiated neonates. Therefore, healthcare providers and other stakeholders should provide timely initiation of advanced diagnosis and appropriate therapeutic interventions for neonates with asphyxia to reduce neonatal mortality.
Title: Time to death and predictors of mortality among asphyxiated neonates in southwest Ethiopia, 2022: prospective cohort study
Description:
Objective This study aimed to determine the time to death and predictors of mortality among asphyxiated neonates admitted to public hospitals in the southwest region of Ethiopia.
Design An institution-based prospective cohort study was conducted.
Setting Public hospitals in southwest Ethiopia.
Participants A total of 144 asphyxiated neonates, who were admitted to the neonatal intensive care unit, and their mothers participated from March 2022 to 30 September 2022.
Data were entered into EpiData V.
4.
4.
2.
1 and exported to STATA V.
16 for analysis.
The Cox proportional hazards model using bivariate (p<0.
25) and multivariate (p<0.
05) analyses was used to identify the predictors of mortality.
The median survival time was estimated using Kaplan-Meier survival estimates.
Primary outcome Time to death from asphyxia and its predictors in neonates.
Results The mortality incidence rate of asphyxiated neonates was 9.
1 deaths per 1000 person-days of observation (95% CI: 7.
11 to 11.
52) with a median survival time of 8 days, and 45.
83% (95% CI: 37.
81% to 54.
08%) of asphyxiated neonates died.
Being male (adjusted HR (AHR) 0.
32 (95% CI: 0.
14 to 0.
76)), neonatal sepsis (AHR 0.
321 (95% CI: 0.
13 to 0.
77)), not receiving kangaroo mother care (AHR 0.
16 (95% CI: 0.
07 to 0.
39)) and vaginal delivery (AHR 0.
39 (95% CI: 0.
16 to 0.
95)) were independent predictors of mortality of asphyxiated neonates.
Conclusions In this study, asphyxiated neonates had a higher incidence of mortality with a median survival time of only 8 days.
Being male, vaginal delivery, not receiving kangaroo mother care and comorbidities such as neonatal sepsis were independent predictors of mortality among asphyxiated neonates.
Therefore, healthcare providers and other stakeholders should provide timely initiation of advanced diagnosis and appropriate therapeutic interventions for neonates with asphyxia to reduce neonatal mortality.

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