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A Simple Disease-Guided Approach to Personalize ACC/AHA-Recommended Statin Allocation in Elderly People: The BioImage
Martin Bødtker Mortensen1, Valentin Fuster2, Pieter Muntendam3
1Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Insights
Personalizing statin therapy using imaging for subclinical atherosclerosis improves risk prediction. Noninvasive assessment of coronary artery calcium (CAC) or carotid plaque burden (cPB) helps identify individuals who may not benefit from statins, avoiding unnecessary medication.
Area of Science:
- Cardiology
- Preventive Medicine
- Medical Imaging
Background:
- Current guidelines recommend statin therapy for primary prevention of atherosclerotic cardiovascular disease (ASCVD) based on 10-year risk.
- Age alone causes many individuals to meet eligibility criteria for risk-based statin therapy.
Purpose of the Study:
- To personalize ASCVD risk stratification for statin eligibility.
- To evaluate the utility of noninvasive subclinical atherosclerosis assessment in refining statin recommendations.
Main Methods:
- The BioImage study analyzed 5,805 participants without known ASCVD.
- Participants with ≥7.5% 10-year ASCVD risk were reclassified based on coronary artery calcium (CAC) or carotid plaque burden (cPB) imaging.
- Intermediate-risk individuals were also reclassified based on CAC or cPB scores.
Main Results:
- High percentage (86%) of participants qualified for statins by ACC/AHA guidelines, with low specificity (15%).
- Absence of CAC or cPB was common and associated with low event rates.
- CAC-guided reclassification significantly improved specificity for coronary heart disease events (22%) with minimal sensitivity loss, yielding a positive net reclassification index (NRI).
- cPB-guided reclassification also improved specificity with a minor impact on sensitivity, showing a positive NRI.
Conclusions:
- Withholding statins in individuals with no detectable CAC or carotid plaque could prevent unnecessary medication in many elderly patients.
- An individualized, disease-guided approach using imaging is simple and feasible for clinical practice.
Background:
The 2013 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines recommend primary prevention with statins for individuals with ≥7.5% 10-year risk for atherosclerotic cardiovascular disease (ASCVD). Everyone living long enough will become eligible for risk-based statin therapy due to age alone.
Objectives:
This study sought to personalize ACC/AHA risk-based statin eligibility using noninvasive assessment of subclinical atherosclerosis.
Methods:
In 5,805 BioImage participants without known ASCVD at baseline, those with ≥7.5% 10-year ASCVD risk were down-classified from statin eligible to ineligible if imaging revealed no coronary artery calcium (CAC) or carotid plaque burden (cPB). Intermediate-risk individuals were up-classified from optional to clear statin eligibility if CAC was ≥100 (or equivalent cPB).
Results:
At a median follow-up of 2.7 years, 91 patients had coronary heart disease and 138 had experienced a cardiovascular disease event. Mean age of the participants was 69 years, and 86% qualified for ACC/AHA risk-based statin therapy, with high sensitivity (96%) but low specificity (15%). CAC or cPB scores of 0 were common (32% and 23%, respectively) and were associated with low event rates. With CAC-guided reclassification, specificity for coronary heart disease events improved 22% (p < 0.0001) without any significant loss in sensitivity, yielding a binary net reclassification index (NRI) of 0.20 (p < 0.0001). With cPB-guided reclassification, specificity improved 16% (p < 0.0001) with a minor loss in sensitivity (7%), yielding an NRI of 0.09 (p = 0.001). For cardiovascular disease events, the NRI was 0.14 (CAC-guided) and 0.06 (cPB-guided). The positive NRIs were driven primarily by down-classifying the large subpopulation with CAC = 0 or cPB = 0.
Conclusions:
Withholding statins in individuals without CAC or carotid plaque could spare a significant proportion of elderly people from taking a pill that would benefit only a few. This individualized disease-guided approach is simple and easy to implement in routine clinical practice.
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