ABSTRACT
Background: Tuberculosis (TB) is a potentially serious infectious disease that mainly affects the lungs. The bacteria, Mycobacterium tuberculosis (MTB), that cause tuberculosis are spread from one person to another person through tiny droplets released into the air via coughs and sneezes. The study aimed to investigate the prevalence of tuberculosis and determinants of lose to follow-up from TB treatment. Methods: A retrospective study design is used to analyze the prevalence of tuberculosis and the determinants of lose to follow-up from TB treatment who follow the treatment from 2006 to 2017. The collected data were analyzed using descriptive statistics and statistical model. Results: The study showed that among 375 TB patients, who started TB treatments, about 24.8% were lost to follow-up from TB treatment and 75.2% were censored at the end of the study. The median survival time of TB patients was 199 days. The results from the Log rank test showed that marital status, HIV co-infection, diabetes mellitus, cancer, and anemia cases had a significant difference between the survival experiences at a 5% level of significance. The result of the Cox-proportion hazard model showed that age (p-value=0.002; CI: (0.9831144, 0.9962526)), HIV co-infection (p-value=0.016; CI: (1.112293, 2.774715)), and anemia (p-value=0.021; CI: (1.089895, 2.938783)) had a significant effect on tuberculosis patients' lose to follow-up from TB treatment at a 5% level of significance. Conclusion: From 375 patients who started TB treatments, about 24.8% were lost to follow-up from TB treatment, and 75.2% were censored at the end of the study. The median survival time of TB patients was 199 days. The variables marital status, HIV co-infection, diabetes mellitus, cancer, and anemia cases had a significant difference between the survival experiences survival time of TB patients at a 5% level of significance. The result also showed that age, HIV co-infection, and anemia had a significant effect on tuberculosis patients.
ABSTRACT
INTRODUCTION: Every year worldwide, between five to six million deaths are associated with stroke; on average, one stroke-related death occurs every four minutes. In Ethiopia, stroke is a frequent cause of mortality and morbidity from noncommunicable diseases. Therefore, this study was aimed at determining factors associated to stroke mortality through survival models in Mettu Karl Referral Hospital. METHODS: This study was conducted from September 1, 2014, to April 1, 2017, and encompassed 202 stroke patients at Mettu Karl Referral Hospital. The Cox semiparametric regression was used for analyzing survival analysis of stroke patients using R software. RESULTS: A total of 202 stroke patients were included in the study, and among those patients, 72.8% and 27.2% were censored and died, respectively. According to the result of Cox semiparametric regression model, sex of patients, hypertension, baseline complication, and stroke type had significant effect on survival of the stroke patient at 5% significance level. CONCLUSION: The results from Cox semiparametric regression model indicated that sex of patients, hypertension, baseline complication, and stroke type were major factors related to the survival time of stroke patients. The researcher recommends that the people should be aware on the burden of those risk factors and well informed about the disease.