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Cosmos Study

New 2026 Hyperlipidemia Guideline Expand Treatment Eligibility from 41% to 55% of Adults

August 5, 2026
Dual-Team Study
Team A:Kersten Bartelt, RNEmily Higgs
Team B:Ryan Stolcpart, PharmDEric Barkley

Key Findings

  • Under the 2026 cholesterol treatment guideline, 54.6% of adults aged 20–79 without established cardiovascular disease were eligible for lipid-lowering therapy, compared with 41.3% under the 2018 guideline, a 13.3 percentage-point increase in the treatment-eligible share.
  • Overall, 13.9% of patients gained eligibility for treatment under the 2026 guideline, while 0.6% lost eligibility.
  • Among patients who gained eligibility under the 2026 guideline, women and older adults were over-represented. Women made up 66.4% of the population that gained eligibility but account for only 57.9% of the overall study population. Likewise, patients aged 70–79 made up 36.1% of the eligibility gainers but account for only 15.8% of the overall study population. Among the much smaller group who lost eligibility, men, Black patients, and adults aged 50–59 were over-represented (men: 79.6% vs. 42.1% overall; Black patients: 47.5% vs. 11.6%; aged 50–59: 50.1% vs. 21.3%).
  • Despite these compositional differences, treatment eligibility net increased within every demographic subgroup examined, including men (+10 percentage points), Black patients (+8 percentage points), and adults aged 50–59 (+10 percentage points).

High cholesterol (also known as hyperlipidemia) is a major cause of heart attacks and strokes. Lowering cholesterol with medications like statins is one of the most common ways adults are treated to prevent a first cardiovascular event. National guidelines help clinicians decide who benefits from starting these medications, and when those guidelines change, millions of people can move into or out of a treatment recommendation. The 2018 American Heart Association (AHA) and American College of Cardiology (ACC) guideline recommended statin therapy for adults aged 40–75 based on the Pooled Cohort Equations (PCE), a risk calculator that estimates a person’s 10-year chance of a cardiovascular event using age, sex, race, blood pressure, cholesterol, smoking status, and diabetes status.1 In March 2026, the AHA and ACC released an updated hyperlipidemia guideline that retired the PCE in favor of the newer PREVENT-ASCVD (Predicting Risk of Cardiovascular Disease EVENTs-Atherosclerotic Cardiovascular Disease) equations, which incorporate kidney function and statin use and do not use race as an input.2 The 2026 guideline also lowered the risk threshold for considering therapy (3% over 10 years, down from 7.5%), expanded eligibility for younger patients and those aged 76 to 79, and elevated chronic kidney disease (CKD) and HIV from risk modifiers to standalone qualifying conditions.3 The PREVENT equations produce different risk estimates than the PCE across demographic groups,4 but the practical effect of the new guideline on who is offered treatment, and whether some groups gain or lose eligibility, has not yet been characterized in a large real-world population.

We studied more than 21 million U.S. adults aged 20–79 with an outpatient visit between March 2025 and February 2026, established prior care, total cholesterol results, and HDL results, who did not have prior atherosclerotic cardiovascular disease (ASCVD). Each patient was evaluated under both the 2018 and 2026 treatment frameworks using lab results, diagnoses, medications, and demographic information from their chart. Patients qualified for treatment if they met any pathway under a given guideline (for example, an LDL cholesterol of 190 mg/dL or higher, a diagnosis of diabetes, or a calculated 10-year ASCVD risk above the relevant threshold). Patients were then placed into one of four mutually exclusive categories: eligible under both guidelines, newly eligible under the 2026 guideline only, no longer eligible under the 2026 guideline, or ineligible under both.

Treatment eligibility expanded substantially under the 2026 guideline. Across all studied patients, 54.6% met the 2026 criteria compared with 41.3% under the 2018 criteria, as shown in Figure 1. Of all studied patients, 40.7% were eligible under both guidelines, 13.9% were newly eligible (eligible under the 2026 guideline but not the 2018 guideline), and 0.6% were no longer eligible (eligible under the 2018 guideline but not the 2026 guideline); the remaining 44.8% were ineligible under either framework. The newly eligible group was roughly 23 times larger than the no longer eligible group, indicating that the 2026 guideline operates almost entirely as an expansion rather than a substitution of the prior treatment population.

Figure 1
Treatment Eligibility Under the 2018 and 2026 Hyperlipidemia Guidelines
Treatment Eligibility Under the 2018 and 2026 Hyperlipidemia Guidelines
Figure 1. The distribution of patients aged 20–79 without prior atherosclerotic cardiovascular disease who qualify for lipid-lowering therapy under the 2018 guideline, the 2026 guideline, both, or neither.

The patients who changed eligibility status under the 2026 guidelines were not demographically representative of the overall study population, as shown in Figure 2. Among those who gained eligibility, 66.4% were women (while women accounted for 57.9% of the overall study population) and 36.1% were aged 70–79 (while that age group made up 15.8% of the overall study population), reflecting the extension of the eligible age range from 75 to 79 and the addition of CKD as a standalone qualifying condition. The much smaller group who lost eligibility skewed in the opposite direction: 79.6% were men (vs. 42.1% overall), 47.5% were Black (vs. 11.6% overall), and 50.1% were aged 50–59 (vs. 21.3% overall). This composition is directionally consistent with prior work showing that the PREVENT equations estimate lower 10-year ASCVD risk than the PCE for some demographic groups, particularly Black adults, in part because PREVENT does not use race as an input.4

Figure 2
Demographic Distribution of Patients Who Gain and Lose Eligibility
Demographic Distribution of Patients Who Gain and Lose Eligibility
Figure 2. The distribution of patients aged 20–79 without prior atherosclerotic cardiovascular disease who gained eligibility and lost eligibility for hyperlipidemia treatment.

Although the group that lost eligibility was disproportionately male, Black, and middle-aged, these patients were far outnumbered by their counterparts who gained eligibility, so every subgroup gained treatment eligibility on net, as shown in Figure 3. Eligibility rose by 16 percentage points among women and 10 points among men. Gains increased with age, from less than a percentage point among adults aged 20–29 to a 32 percentage-point jump among those aged 70–79. One population that stands out from that pattern is patients aged 30–39 who had a 15 percentage point jump, surpassing the 3 percentage-point jump seen for those aged 40–49. This might be explained by the screening age being lowered from 40 to 30. Every race and ethnicity group also gained, ranging from an 8 percentage-point increase among Black patients to 15 points among White patients. In other words, the demographic skew among those who lost eligibility reflects which patients were most affected by the change to the PREVENT equations, not a net reduction in treatment eligibility for any group.

Figure 3
Rate of Eligibility Change Under Hyperlipidemia Guidelines by Patient Demographics
Rate of Eligibility Change Under Hyperlipidemia Guidelines by Patient Demographics
Figure 3. The rate of eligibility change under the 2018 and 2026 hyperlipidemia guidelines by sex, age, and race/ethnicity.

These data come from Cosmos, a dataset created in collaboration with a community of Epic health systems representing more than 307 million patient records from 2,000 hospitals and more than 49,000 clinics from all 50 U.S. states, Canada, Lebanon, and Saudi Arabia. This study was completed by two teams that worked independently, each composed of a clinician and research scientist. The two teams came to similar conclusions. Graphics by Brian Olson.

  1. Grundy SM, Stone NJ, Bailey AL, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;139(25):e1082-e1143. doi:10.1161/CIR.0000000000000625
  2. Khan SS, Matsushita K, Sang Y, et al. Development and validation of the American Heart Association’s PREVENT equations. Circulation. 2024;149(6):430-449. doi:10.1161/CIRCULATIONAHA.123.067626
  3. Blumenthal RS, Morris PB, Gaudino M, et al. 2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of dyslipidemia: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. Published online March 13, 2026. doi:10.1161/CIR.0000000000001423
  4. Anderson TS, Wilson LM, Sussman JB. Atherosclerotic cardiovascular disease risk estimates using the Predicting Risk of Cardiovascular Disease Events equations. JAMA Intern Med. 2024;184(8):963-970. doi:10.1001/jamainternmed.2024.1302

Data Definitions

Study period
Study population: inclusion
Outpatient face-to-face visit
Study population: exclusion
Index date
Exposures
2018 guideline: treatment pathways
2026 guideline: treatment pathways
Outcomes
ASCVD
Heart transplant
Acute coronary syndrome / angina
Myocardial infarction
Stroke
TIA
Peripheral arterial disease
Revascularization (diagnosis)
Revascularization (procedure)
Familial hypercholesterolemia
PCE 10-year ASCVD score
PREVENT 10-year ASCVD score
2018 risk enhancers
Diabetes
HIV
CKD
Anti-hypertensive medication
Statin
Current smoker
eGFR
Creatinine
HDL
Total cholesterol (TC)
LDL
Systolic blood pressure (SBP)
Lab value quality filters
Race and ethnicity
Stratifications
Model specifications
Limitations