biostudies-literatureUnknown48(1)Harrison AThe authors received no specific funding for this work.<h4>Background</h4>Hypertension, a leading global risk factor for mortality and disability, disproportionately affects racial and ethnic minorities. Our study investigates the association between the type of prior antihypertensive medication use and the likelihood of cardiovascular events (CVE) and assesses whether the patient's race influences this relationship.<h4>Methods</h4>A retrospective study of 14 836 hypertension cases aged ≥ 40 years was conducted using data from HCA Healthcare between 2017 and 2023. Logistic regression was employed to predict the likelihood of CVE and mortality at admission, adjusting for baseline comorbidities, with Race added as an effect modifier. Interaction analysis was performed among races based on antihypertensive medication types.<h4>Results</h4>AfricanClinical cardiologye70075https://www.ebi.ac.uk/biostudies/studies/S-EPMC11747351biostudies-literatureComparative Effectiveness of Calcium-Channel Blockers, Angiotensin-Converting Enzyme/Angiotensin Receptor Blockers and Diuretics on Cardiovascular Events Likelihood in Hypertensive African-American and Non-Hispanic Caucasians: A Retrospective Study Across HCA Healthcare.PMC11747351Rayamajhi SShaker FThais SHarrison AMoreno MHosseini KfalseComparative Effectiveness of Calcium-Channel Blockers, Angiotensin-Converting Enzyme/Angiotensin Receptor Blockers and Diuretics on Cardiovascular Events Likelihood in Hypertensive African-American and Non-Hispanic Caucasians: A Retrospective Study Across HCA Healthcare.<h4>Background</h4>Hypertension, a leading global risk factor for mortality and disability, disproportionately affects racial and ethnic minorities. Our study investigates the association between the type of prior antihypertensive medication use and the likelihood of cardiovascular events (CVE) and assesses whether the patient's race influences this relationship.<h4>Methods</h4>A retrospective study of 14 836 hypertension cases aged ≥ 40 years was conducted using data from HCA Healthcare between 2017 and 2023. Logistic regression was employed to predict the likelihood of CVE and mortality at admission, adjusting for baseline comorbidities, with Race added as an effect modifier. Interaction analysis was performed among races based on antihypertensive medication types.<h4>Results</h4>African2025-01-01T00:00:00Z2025 Jan2025-04-04T14:05:34.387Z2025-04-04T14:05:34.387ZS-EPMC117473513983534910.1002/clc.70075