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Recommended and Observed Statin Use among U.S. Adults – National Health and Nutrition Examination Survey, 2011–2018
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2023
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Source: J Clin Lipidol. 17(2):225-235
[PDF-558.33 KB]
Details:
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Alternative Title:J Clin Lipidol
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Personal Author:
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Description:Background:
The American College of Cardiology/American Heart Association Blood Cholesterol Guideline was published in 2013 (2013 Cholesterol Guideline) and the Multi-society Guideline on the Management of Blood Cholesterol in 2018 (2018 Cholesterol Guideline).
Objective:
To compare differences in population level estimates for statin recommendations and use between guidelines.
Methods:
Using four 2-year cycles from the National Health and Nutrition Examination Survey (2011–2018), we analyzed data from 8,642 non-pregnant adults aged ≥20 years with complete information for blood cholesterol measurements and other cardiovascular risk factors used to define treatment recommendations in the 2013 or 2018 Cholesterol Guidelines. We compared the prevalence of statin recommendations and use between the guidelines, overall and among patient management groups.
Results:
Under the 2013 Cholesterol Guideline, an estimated 77.8 million (33.6%) adults would be recommended statins, compared to 46.1 million (19.9%) recommended and 50.1 million (21.6%) considered for statins by the 2018 Cholesterol Guideline. Statin use among those recommended treatment was similar utilizing the 2018 Cholesterol Guideline (47.4%) compared to the 2013 Cholesterol Guideline (47.0%). Differences were observed across demographic and patient management groups.
Conclusion:
Compared to the 2013 Cholesterol Guideline, the prevalence of statin recommendations decreased utilizing the 2018 Cholesterol Guideline algorithm, though additional persons would be considered for treatment after risk factor assessment and patient-clinician discussion under the 2018 Cholesterol Guideline. Statin use was suboptimal (<50%) for those recommended treatment under either guideline. Optimizing patient-clinician risk discussions and shared decision making may be needed to improve treatment rates.
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Pubmed ID:36878764
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Pubmed Central ID:PMC10093150
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Volume:17
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Issue:2
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