Evidence map›Paper›PMID 40618028›Full record

ArticleBMC cardiovascular disorders2025

Risk factors associated with myocardial infarction among patients at Uganda heart institute, Mulago National referral hospital in Uganda.

Bukomeko Javila, Leonard Atuhaire, Asiimwe John Bosco, Sula Tumusiime, Nsimbe Dick

Abstract read
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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bukomeko JavilaDepartment of Statistical Methods and Actuarial Science, School of Statistics and Planning, Makerere University, P.O. Box 7062, Kampala, Uganda. jbukmusoke@gmail.com.ORCID http://orcid.org/0009-0005-0364-8093
Leonard AtuhaireDepartment of Statistical Methods and Actuarial Science, School of Statistics and Planning, Makerere University, P.O. Box 7062, Kampala, Uganda.
Asiimwe John BoscoDepartment of Statistical Methods and Actuarial Science, School of Statistics and Planning, Makerere University, P.O. Box 7062, Kampala, Uganda.
Sula TumusiimeDepartment of Statistical Methods and Actuarial Science, School of Statistics and Planning, Makerere University, P.O. Box 7062, Kampala, Uganda.
Nsimbe DickDepartment of Statistical Methods and Actuarial Science, School of Statistics and Planning, Makerere University, P.O. Box 7062, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial infarction (MI) is a leading cause of death globally, with ischemic heart disease (IHD) accounting for 9.1 million deaths in 2019. In Uganda, cardiovascular diseases, including MI, are contributing to an increasing burden on the healthcare system. The prevalence of MI in the country is not well-documented, though reports suggest a growing incidence, particularly in urban areas. The objective of this study was to investigate the factors associated with myocardial infarction at Mulago Heart Institute, Uganda.

methodThe study utilized retrospective analysis of 615 patients from Uganda Heart Institute records between January 2015 and December 2019. A logistic regression model was employed to identify the factors associated with myocardial infarction.

resultsThe prevalence of myocardial infarction among patients at Uganda Heart Institute during the study period was 56.8%. Significant factors found to influence the occurrence of myocardial infarction included advanced patients age particularly among individuals aged 65–74 years (OR = 6.37; 95% CI = 2.27–17.08; p = 0.000) and 75–84 years (OR = 12.97; 95% CI = 4.54–37.09; p = 0.000), female gender (OR = 0.36; 95% CI = 0.13–0.79; p = 0.013) and rural residence (OR = 0.11; 95% CI = 0.05–0.24; p = 0.001). Furthermore, patients with obesity (OR = 1.67; 95% CI = 1.12–2.48; p = 0.031) being overweight (OR = 0.78; 95% CI = 0.43–0.95; p = 0.025), having high blood pressure (OR = 8.12; 95% CI = 4.05–16.29; p = 0.000), not having diabetes (OR = 0.08; 95% CI = 0.04–0.26; p = 0.000), inactive physical exercises (OR = 1.99; 95% CI = 1.72–2.29; p = 0.000), tobacco use (OR = 1.61; 95% CI = 1.30–1.99; p = 0.001) and heavy alcohol use (OR = 1.07; 95% CI = 0.81–1.61; p = 0.016) were also associated with occurrence of myocardial infarction.

conclusionsThese findings underscore the importance of addressing these risk factors through public health interventions, particularly focusing on blood pressure management, promoting physical activity, and reducing tobacco and alcohol consumption especially in urban areas, to mitigate the growing burden of myocardial infarction in Uganda.

Indexed as

Myocardial InfarctionReferral and ConsultationAdultAgedAged, 80 and overAge FactorsFemaleHumansHypertensionMaleMiddle AgedPrevalencePrognosisRetrospective StudiesRisk AssessmentRisk FactorsBlood pressureCardiovascular diseaseLogistic regressionMulago-HospitalMyocardial infarction (MI)Risk factorsUganda

Identifiers

PMID40618028
PMCPMC12229018

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.