Introduction: Every year worldwide between five to six million deaths are associated with stroke; on average, one stroke-related death occurs every four min. In Ethiopia, stroke is a frequent cause of mortality and morbidity from non-communicable diseases. Therefore, this study was aimed to determine factors associated to stroke mortality through survival models in Mettu Carl Referral Hospital.
Methods: This study was conducted from September 1, 2014 to April 1, 2017, and encompassed 202 stroke patients at Mettu Carl Referral Hospital. The Cox Semi-parametric regression and parametric PH Weibull, Exponential, Log-logistic and log-normal models were used for analyzing survival analysis of stroke patients using R software.
Results: A totals of 202 stroke patients were included in the study and among those patients 72.8% and 27.2% were censored and died respectively. According the result of Weibull proportional hazard model, gender of patients (HR=1.5052200, p-value<0.0000207), hypertension (HR= 0.7135953, p-value<0.000737), and baseline complication (HR=0.7246955, p-value<0.00229), had significant effect on survival of the stroke patient.
Conclusion: The estimated survival and hazard rate of stroke patients under gender of patients, baseline complication and hypertension had significant difference with p-values less than 0.05. Finally, the findings of this study implied that Hypertension, sex of the patients, and baseline complication were major factors related to survival time of stroke patients. The researcher recommends that the people should aware on the burden of those risk factors and well informed about the disease.

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No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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Posted 05 Apr, 2021
Posted 05 Apr, 2021
Introduction: Every year worldwide between five to six million deaths are associated with stroke; on average, one stroke-related death occurs every four min. In Ethiopia, stroke is a frequent cause of mortality and morbidity from non-communicable diseases. Therefore, this study was aimed to determine factors associated to stroke mortality through survival models in Mettu Carl Referral Hospital.
Methods: This study was conducted from September 1, 2014 to April 1, 2017, and encompassed 202 stroke patients at Mettu Carl Referral Hospital. The Cox Semi-parametric regression and parametric PH Weibull, Exponential, Log-logistic and log-normal models were used for analyzing survival analysis of stroke patients using R software.
Results: A totals of 202 stroke patients were included in the study and among those patients 72.8% and 27.2% were censored and died respectively. According the result of Weibull proportional hazard model, gender of patients (HR=1.5052200, p-value<0.0000207), hypertension (HR= 0.7135953, p-value<0.000737), and baseline complication (HR=0.7246955, p-value<0.00229), had significant effect on survival of the stroke patient.
Conclusion: The estimated survival and hazard rate of stroke patients under gender of patients, baseline complication and hypertension had significant difference with p-values less than 0.05. Finally, the findings of this study implied that Hypertension, sex of the patients, and baseline complication were major factors related to survival time of stroke patients. The researcher recommends that the people should aware on the burden of those risk factors and well informed about the disease.

Figure 1

Figure 2

Figure 3
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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