Comparison of Application of the ACC/AHA Guidelines, Adult Treatment Panel III Guidelines, and European Society of Cardiology Guidelines for Cardiovascular Disease Prevention in a European Cohort
Why the study?
How do the ACC/AHA, ATP-III, and ESC guidelines compare regarding statin eligibility and risk prediction in a European population aged 55 years or older?
Population
European population aged 55 years or older
Comparison
Application of the ACC/AHA Guidelines for… vs Adult Treatment Panel III Guidelines and…
Design
Cohort
Authors
Discussion
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Implication
May expand statin eligibility in older Europeans; leaves open whether population-specific recalibration improves upon poor model calibration.
Key Points
- This research aims to compare the eligibility for statin therapy among different cardiovascular disease prevention guidelines in older adults.
- Analyzed a European cohort aged 55 years or older.
- Compared recommendations for statin use among ACC/AHA, ATP-III, and ESC guidelines.
- Assessed risk model calibration and discrimination.
- ACC/AHA guidelines recommended statins for nearly all men and two-thirds of women, higher than ATP-III or ESC guidelines.
- All three risk models showed poor calibration and moderate to good discrimination.
- Need for improved risk predictions and appropriate treatment thresholds identified.
Structured PICO
How do the ACC/AHA, ATP-III, and ESC guidelines compare regarding statin eligibility and risk prediction in a European population aged 55 years or older?
P
Population
European population aged 55 years or older
I
Intervention
Application of the ACC/AHA Guidelines for Cardiovascular Disease Prevention
C
Comparator
Adult Treatment Panel III (ATP-III) Guidelines and European Society of Cardiology (ESC) Guidelines
O
Outcome
Proportions of individuals eligible for statins, risk model calibration, and discrimination
Application of ACC/AHA guidelines in a European cohort aged ≥55 years substantially increases statin eligibility compared to ATP-III and ESC guidelines, though all three risk models show poor calibration.
Cite This Study
Kavousi et al. (2014) studied this question.