{"title":"应用 Weibull-Inverse Gaussian 共享虚弱模型确定高血压康复时间。","authors":"Yeshambel Kindu Yihuna, Nigist Mulu Takele, Essey Kebede Muluneh","doi":"10.11604/pamj.2024.48.107.43082","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>hypertension is a major public health problem that is responsible for mortality. In Ethiopia, hypertension is becoming a double burden due to urbanization. The study aims to identify factors that affect the time to recovery from hypertension.</p><p><strong>Methods: </strong>in this study, a retrospective study design was used, and the data was collected in the patient´s chart from September 2016 to January 2018. Weibull-Inverse Gaussian shared frailty model was employed to identify factors associated with the recovery time of hypertension.</p><p><strong>Results: </strong>eighty-one percent of the sampled patients were recovered to a normal condition, and nineteen percent of the patients were censored. The median survival time for hypertensive patients to attain a normal condition was 13 months. Weibull-Inverse Gaussian shared frailty model was used for predicting the recovery time of hypertension patients. Unobserved heterogeneity in residences, as estimated by the Weibull-Inverse Gaussian shared frailty model, was θ = 0.385 and p-value = 0.00.</p><p><strong>Conclusion: </strong>age, systolic blood pressure, related disease, creatine, blood urea nitrogen, the interaction between blood urea nitrogen and age. Therefore, health-care providers give great attention, prioritize those identified factors and provide frequent counseling about reducing hypertension disease.</p>","PeriodicalId":48190,"journal":{"name":"Pan African Medical Journal","volume":"48 ","pages":"107"},"PeriodicalIF":0.9000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11543998/pdf/","citationCount":"0","resultStr":"{\"title\":\"Determinants of time-to-recovery from hypertension by application of Weibull-Inverse Gaussian shared frailty model.\",\"authors\":\"Yeshambel Kindu Yihuna, Nigist Mulu Takele, Essey Kebede Muluneh\",\"doi\":\"10.11604/pamj.2024.48.107.43082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>hypertension is a major public health problem that is responsible for mortality. In Ethiopia, hypertension is becoming a double burden due to urbanization. The study aims to identify factors that affect the time to recovery from hypertension.</p><p><strong>Methods: </strong>in this study, a retrospective study design was used, and the data was collected in the patient´s chart from September 2016 to January 2018. Weibull-Inverse Gaussian shared frailty model was employed to identify factors associated with the recovery time of hypertension.</p><p><strong>Results: </strong>eighty-one percent of the sampled patients were recovered to a normal condition, and nineteen percent of the patients were censored. The median survival time for hypertensive patients to attain a normal condition was 13 months. Weibull-Inverse Gaussian shared frailty model was used for predicting the recovery time of hypertension patients. Unobserved heterogeneity in residences, as estimated by the Weibull-Inverse Gaussian shared frailty model, was θ = 0.385 and p-value = 0.00.</p><p><strong>Conclusion: </strong>age, systolic blood pressure, related disease, creatine, blood urea nitrogen, the interaction between blood urea nitrogen and age. Therefore, health-care providers give great attention, prioritize those identified factors and provide frequent counseling about reducing hypertension disease.</p>\",\"PeriodicalId\":48190,\"journal\":{\"name\":\"Pan African Medical Journal\",\"volume\":\"48 \",\"pages\":\"107\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11543998/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pan African Medical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11604/pamj.2024.48.107.43082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pan African Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11604/pamj.2024.48.107.43082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Determinants of time-to-recovery from hypertension by application of Weibull-Inverse Gaussian shared frailty model.
Introduction: hypertension is a major public health problem that is responsible for mortality. In Ethiopia, hypertension is becoming a double burden due to urbanization. The study aims to identify factors that affect the time to recovery from hypertension.
Methods: in this study, a retrospective study design was used, and the data was collected in the patient´s chart from September 2016 to January 2018. Weibull-Inverse Gaussian shared frailty model was employed to identify factors associated with the recovery time of hypertension.
Results: eighty-one percent of the sampled patients were recovered to a normal condition, and nineteen percent of the patients were censored. The median survival time for hypertensive patients to attain a normal condition was 13 months. Weibull-Inverse Gaussian shared frailty model was used for predicting the recovery time of hypertension patients. Unobserved heterogeneity in residences, as estimated by the Weibull-Inverse Gaussian shared frailty model, was θ = 0.385 and p-value = 0.00.
Conclusion: age, systolic blood pressure, related disease, creatine, blood urea nitrogen, the interaction between blood urea nitrogen and age. Therefore, health-care providers give great attention, prioritize those identified factors and provide frequent counseling about reducing hypertension disease.