Joint modeling of blood pressure measurement and survival time of hypertension patients

Abstract Hypertension is a chronic disease that has a major health problem over the centuries due to its significant contribution to the global burden. The objective of this study was to examine the association of survival time and longitudinal Systolic Blood Pressure (SBP) measurement and finding p...

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Autores principales:	Hakime Ayele Kosa, Markos Abiso Erango
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a38ca410ca8042f4af503ef26d53189e
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spelling	oai:doaj.org-article:a38ca410ca8042f4af503ef26d53189e2021-12-02T18:49:28ZJoint modeling of blood pressure measurement and survival time of hypertension patients10.1038/s41598-021-94905-y2045-2322https://doaj.org/article/a38ca410ca8042f4af503ef26d53189e2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94905-yhttps://doaj.org/toc/2045-2322Abstract Hypertension is a chronic disease that has a major health problem over the centuries due to its significant contribution to the global burden. The objective of this study was to examine the association of survival time and longitudinal Systolic Blood Pressure (SBP) measurement and finding potential barrier that affects SBP measurement and the survival time of hypertension patients. The study considered a cohort of 318 hypertension patients who were aged 18 years or older and were under follow-up from January 1, 2012, to February 30, 2020, at Arba Minch General Hospital. To analyze the data we employed linear mixed effect model, Weibull model, and joint modeling approach for longitudinal and survival data. The results from joint model analysis indicate that systolic blood pressure measurement is significantly associated with survival time of hypertension patients. The results from the longitudinal sub-model reveals that alcohol use, Khat intake, smoking tobacco, stages of hypertension diseases, adherence to treatment, related diseases, and family history had statistical significant relationship with mean change in the $$\sqrt{SBP}$$ SBP measurement. Furthermore, from the survival sub-model, we found the survival probability of hypertension patients was determined by family history, stages of hypertension disease, related diseases, and smoking tobacco. The analysis suggests that there is a strong association between SBP measurement and survival time of hypertension patients. Thus we recommend aggressive work by all concerned bodies towards awareness creation about the effect of potential barriers.Hakime Ayele KosaMarkos Abiso ErangoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hakime Ayele Kosa Markos Abiso Erango Joint modeling of blood pressure measurement and survival time of hypertension patients
description	Abstract Hypertension is a chronic disease that has a major health problem over the centuries due to its significant contribution to the global burden. The objective of this study was to examine the association of survival time and longitudinal Systolic Blood Pressure (SBP) measurement and finding potential barrier that affects SBP measurement and the survival time of hypertension patients. The study considered a cohort of 318 hypertension patients who were aged 18 years or older and were under follow-up from January 1, 2012, to February 30, 2020, at Arba Minch General Hospital. To analyze the data we employed linear mixed effect model, Weibull model, and joint modeling approach for longitudinal and survival data. The results from joint model analysis indicate that systolic blood pressure measurement is significantly associated with survival time of hypertension patients. The results from the longitudinal sub-model reveals that alcohol use, Khat intake, smoking tobacco, stages of hypertension diseases, adherence to treatment, related diseases, and family history had statistical significant relationship with mean change in the $$\sqrt{SBP}$$ SBP measurement. Furthermore, from the survival sub-model, we found the survival probability of hypertension patients was determined by family history, stages of hypertension disease, related diseases, and smoking tobacco. The analysis suggests that there is a strong association between SBP measurement and survival time of hypertension patients. Thus we recommend aggressive work by all concerned bodies towards awareness creation about the effect of potential barriers.
format	article
author	Hakime Ayele Kosa Markos Abiso Erango
author_facet	Hakime Ayele Kosa Markos Abiso Erango
author_sort	Hakime Ayele Kosa
title	Joint modeling of blood pressure measurement and survival time of hypertension patients
title_short	Joint modeling of blood pressure measurement and survival time of hypertension patients
title_full	Joint modeling of blood pressure measurement and survival time of hypertension patients
title_fullStr	Joint modeling of blood pressure measurement and survival time of hypertension patients
title_full_unstemmed	Joint modeling of blood pressure measurement and survival time of hypertension patients
title_sort	joint modeling of blood pressure measurement and survival time of hypertension patients
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a38ca410ca8042f4af503ef26d53189e
work_keys_str_mv	AT hakimeayelekosa jointmodelingofbloodpressuremeasurementandsurvivaltimeofhypertensionpatients AT markosabisoerango jointmodelingofbloodpressuremeasurementandsurvivaltimeofhypertensionpatients
_version_	1718377579601199104

Joint modeling of blood pressure measurement and survival time of hypertension patients

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