2026 AHA/ACC Cholesterol Guidelines

PREVENT ASCVD Risk Calculator

10-year and 30-year PREVENT ASCVD risk estimates

Demographics

Age
Sex
BMI

Blood Pressure & Lipids

SBP
BP treatment
Total cholesterol
HDL
On statin

Clinical Factors

Diabetes
Current smoking
eGFR

Optional Risk Refinement

ZIP code
Used for social deprivation index when available
HbA1c
UACR

LDL Goal Based on PREVENT 10-Year ASCVD Risk

Suggested LDL-C treatment targets according to estimated cardiovascular risk category

Risk Category 10-Year ASCVD Risk LDL-C Goal
Low <3% No specific LDL goal
Borderline 3–<5% <100 mg/dL
Intermediate 5–<10% <100 mg/dL
High ≥10% <70 mg/dL
Extremely High Secondary prevention <55 mg/dL
Low
<3%
LDL-C Goal No specific LDL goal
Borderline
3–<5%
LDL-C Goal <100 mg/dL
Intermediate
5–<10%
LDL-C Goal <100 mg/dL
High
≥10%
LDL-C Goal <70 mg/dL
Extremely High
Secondary prevention
LDL-C Goal <55 mg/dL

New PREVENT-ASCVD calculator replaces the Pooled Cohort Equation.

  • Age 30–79
  • LDL 70–189 mg/dL
  • No ASCVD or subclinical atherosclerosis

CAC scoring is now recommended for those in whom statin indication is uncertain.

  • Men ≥40
  • Women ≥45
  • Borderline or intermediate risk
    • Any scoring on the CAC necessitates an LDL goal < 100

  • Measure once in adulthood for ALL patients
  • Genetically determined, stable overtime

  • Helps assess residual risk when LDL appears controlled
  • Reflects number of atherogenic particles
  • Most useful in: diabetes, hypertriglyceridemia, CKD, established ASCVD

  • Statins remain first-line therapy
  • If additional LDL lowering is needed
    • Ezetimibe
    • Bempedoic acid
    • PCSK9 inhibitors
    • Inclisiran in clinical trials

Consider lipid-lowering therapy starting around age 40 in:

  • CKD ≥3
  • HIV
  • T1DM
  • T2DM

  • Continue statins in most patients receiving cancer therapy
  • Defer most lipid-lowering medications during pregnancy, conception, and lactation
  • Universal cholesterol screening between ages 9–11

References

  1. Blumenthal, R. S., et al. (2026). 2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline for the management of dyslipidemia. Circulation. https://doi.org/10.1161/CIR.0000000000001423
  2. Khan, S. S., Matsushita, K., Sang, Y., Ballew, S. H., Grams, M. E., Surapaneni, A., Blaha, M. J., Carson, A. P., Chang, A. R., Coresh, J., Daya, N., Lee, C. J., Lloyd-Jones, D. M., Lutsey, P. L., Michos, E. D., Ndumele, C. E., Nambi, V., Selvin, E., Vasan, R. S., ... Karmali, K. N. (2023). Development and validation of the American Heart Association's PREVENT equations. Circulation, 148(24), 1982–2004. https://doi.org/10.1161/CIRCULATIONAHA.123.067626
  3. Cho, S. M. J., et al. (2025). AHA PREVENT equations and cardiovascular disease risk prediction across U.S. health care systems. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2025.04.066
  4. Grundy, S. M., Stone, N. J., Bailey, A. L., Beam, C., Birtcher, K. K., Blumenthal, R. S., Braun, L. T., de Ferranti, S., Faiella-Tommasino, J., Forman, D. E., Goldberg, R., Heidenreich, P. A., Hlatky, M. A., Jones, D. W., Lloyd-Jones, D., Lopez-Pajares, N., Ndumele, C. E., Orringer, C. E., Peralta, C. A., ... Yeboah, J. (2019). 2018 AHA/ACC guideline on the management of blood cholesterol. Circulation, 139(25), e1082–e1143. https://doi.org/10.1161/CIR.0000000000000625
  5. O'Donoghue, M. L., Rosenson, R. S., Gencer, B., López, J. A. G., Lepor, N. E., Baum, S. J., Stout, E., Gaudet, D., Knusel, B., Kuder, J. F., Murphy, S. A., Wiviott, S. D., & Sabatine, M. S. (2022). Small interfering RNA to reduce lipoprotein(a) in cardiovascular disease. The New England Journal of Medicine, 387(20), 1855–1864. https://doi.org/10.1056/NEJMoa2211023
  6. Nissen, S. E., Lincoff, A. M., Brennan, D., Ray, K. K., Mason, D., Kastelein, J. J. P., Thompson, P. D., Libby, P., Cho, L., Plutzky, J., Bays, H. E., Moriarty, P. M., Menon, V., Grobbee, D. E., Louie, M. J., Chen, C. F., Li, N., Bloedon, L., Robinson, P., & Nicholls, S. J. (2023). Bempedoic acid and cardiovascular outcomes in statin-intolerant patients. The New England Journal of Medicine, 388(15), 1353–1364. https://doi.org/10.1056/NEJMoa2215024
  7. Sabatine, M. S., Giugliano, R. P., Keech, A. C., Honarpour, N., Wiviott, S. D., Murphy, S. A., Kuder, J. F., Wang, H., Liu, T., Wasserman, S. M., Sever, P. S., Pedersen, T. R., & FOURIER Steering Committee and Investigators. (2017). Evolocumab and clinical outcomes in patients with cardiovascular disease. The New England Journal of Medicine, 376(18), 1713–1722. https://doi.org/10.1056/NEJMoa1615664