Evidence map›Paper›PMID 39754151›Full record

ArticleBMC public health2025

Joint analysis of blood pressure changes over time and survival of hypertensive patients under treatment at Sawula hospital in Southern Ethiopia.

Markos Abiso Erango, Tademe Fiseha, Galgalo Jaba Nura

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Markos Abiso ErangoDepartment of Statistics, Arba Minch University, Arba Minch, Ethiopia.
Tademe FisehaDepartment of Statistics, Arba Minch University, Arba Minch, Ethiopia.
Galgalo Jaba NuraDepartment of Statistics, Borana University, Borena, Oromia Region, Ethiopia. galgalojaba20@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertension is among the most significant non-communicable public health issues worldwide. High blood pressure, or hypertension, has been associated with severe health consequences, including death, aneurysms, stroke, chronic renal disease, eye damage, heart attack, heart failure, peripheral artery disease, and vascular dementia. Consequently, this study aimed to investigate the predictors linked to survival time and the progression of blood pressure measurements in hypertensive patients.

methodsThis study on retrospective cohort analysis was conducted among hypertensive patients receiving follow-up treatment. A total of 200 hypertensive patients were screened during their follow-up at Sawula General Hospital. Multivariate joint models typically combine a multivariate linear mixed-effects model for repeated measurements with a Cox model for time-to-event outcomes.

resultThe baseline characteristics of patients indicated that, out of 200 hypertensive patients, the majority were male, totaling 116 (58%). Regarding alcohol consumption, 72 (36%) of the hypertensive patients reported using alcohol, while 128 (64%) did not. The multivariate joint model emerged as the most effective model in this study. The analysis revealed that observation time, economic status, sex, place of residence, baseline FBS, and age significantly influenced log FBS, while visiting time, age, sex, pulse rate, place of residence, and baseline DBP were identified as significant factors for log diastolic blood pressure.

conclusionThe multivariate joint model exhibited superior performance. Hypertension continues to be a non-communicable disease and a public health issue in Sawula and Ethiopia, deserving greater attention.

Indexed as

HypertensionAdultAgedBlood PressureEthiopiaFemaleHumansMaleMiddle AgedRetrospective StudiesCox PHHypertensiveJoint ModelLongitudinal measurement

Identifiers

PMID39754151
PMCPMC11697462

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