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Updated: Jan 12, 2026

Author Spotlight: A Pharmacodissection Approach to Uncover Mechanisms in Cardiovascular Disease Risk Populations
Published on: July 21, 2023
Overlaps of risk factors between different cardiovascular phenotypes
Christian-Alexander Behrendt1,2,3, Alena Haack1,4,5, Benjamin Bay1,2,4,5
1Center for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Atherosclerotic cardiovascular disease (ASCVD) subgroups show varying risk factors and medication rates. Tailoring treatments to specific vascular beds may improve outcomes for patients with ASCVD.
Area of Science:
- Cardiology
- Vascular Medicine
- Public Health
Background:
- Atherosclerotic cardiovascular disease (ASCVD) includes coronary, peripheral artery disease (PAD), carotid, and polyvascular disease.
- Limited data exists on ASCVD subgroup prevalence, risk factors, and secondary prevention medication rates.
- The Hamburg City Health Study (HCHS) provides population-based data for this investigation.
Purpose of the Study:
- To investigate the prevalence, risk factors, and secondary preventive medication rates across different ASCVD subgroups.
- To compare baseline characteristics, risk factor profiles, and cardiovascular risk scores among ASCVD patient groups.
- To identify potential targets for improving cardiovascular event rates in ASCVD patients.
Main Methods:
- Cross-sectional analysis of 10,000 randomly recruited HCHS participants (aged 45-74).
- Stratification of participants based on affected arterial vascular beds (carotid, PAD, coronary, polyvascular).
- Comparison of baseline characteristics, risk factors, prescribed medications, and cardiovascular risk scores (ESC SCORE 2, Stroke score).
Main Results:
- 6,324 individuals with complete data were analyzed.
- Prevalence: isolated carotid artery disease (35.7%), PAD (11.6%), coronary artery disease (2.8%), polyvascular disease (11.7%).
- Polyvascular disease patients were oldest, most likely unemployed, diabetic, and smokers. Coronary and polyvascular disease groups had highest risk scores and medication rates.
Conclusions:
- ASCVD subgroups exhibit distinct risk factor profiles, cardiovascular risk scores, and secondary preventive medication patterns.
- Findings highlight variations in optimal medical treatment strategies across different ASCVD manifestations.
- Targeted interventions based on vascular bed affected could enhance cardiovascular event reduction in ASCVD patients.
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