cardiovascular risk calculator; cardiovascular risk score
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Introduction
See references. Also see QRisk score.
Clinical significance
- 10 year cardiovascular risk score:
- Medicare payment for cardiovascular risk assessment in medium to high risk patients reduced risk of first myocardial infarction or stroke by 0.3% within 5 years without increasing Medicare costs[20]
Notes
- 7 studies have found flaws in the ACC/AHA calculator[8]
- ACC/AHA calculator[6] will lead to millions of patients inappropriately prescribed statins[8]
- among people with an ACC/AHA risk score of 7.5%-10%, the actual event rate was only 3% in men & 5.1% in women[9]
- numerous cardiovascular risk calculators compared[13]
- guidelines from the American Heart Association & the American College of Cardiology recommend calculating cardiovascular risk using 2013 Pooled Cohort Equations[15]
- a revised calculator adding new cohorts & removing one old cohort from the data pool finds overestimation of 10-year risk by ~20%, with even higher among blacks[15]
- nearly 12 million adults in US with previously calculated 10 year CV risk > 7.5% currently qualifying for statin therapy would no longer be eligible[15]
- AHA admits calculator overestimates risk in certain groups (upper socioecomic status, those engaged in healtcare), but underestimates risk in other groups[17]
- HIV1 infection associated with underestimation of risk[16]
- rheumatoid arthritis associated with underestimation of risk[16][17]
- AHA Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30-79 years of age without known CVD includes traditional risk factors: smoking status, systolic blood pressure, cholesterol, antihypertensive use, statin use, diabetes mellitus & eGFR[22]
- use of PREVENT equations may reduce the number of patients eligible for primary prevention of cardiovascular disease with statin therapy[23][24]
- PREVENT equations can accurately predict the risk of heart failure developing within 10 years[25]
- PREVENT equations calculator[26]
- also see the American Heart Association PREVENT Online Calculator
- pooled cohort equations overestimate 5-year risk in veterans[18]
- overestimation of CV risk in people screened for diabetes may result in unnecessary treatment of other cardiac risk factors[19]
More general terms
More specific terms
- Framingham Risk Score/Calculator
- Prevent Online Calculator
- QRISK score; QRISK2 score; QRISK3 score
- Reynolds risk score
Additional terms
References
- ↑ Coronary Heart Disease Risk Calculator Medical College of Wisconsin http://www.mcw.edu/calculators/CoronaryHeartDiseaseRisk.htm
- ↑ Smith DB (Excel file) Personal Stroke Risk (over the next 10 years) http://www.westernstroke.org/PersonalStrokeRisk1.xls
- ↑ Prescriber's Letter 17(11): 2010 Common Cardiovascular Risk Calculators Detail-Document#: http://prescribersletter.com/(5bhgn1a4ni4cyp2tvybwfh55)/pl/ArticleDD.aspx?li=1&st=1&cs=&s=PRL&pt=3&fpt=25&dd=261124&pb=PRL (subscription needed) http://www.prescribersletter.com
- ↑ National Cholesterol Education Program (NCEP) http://hp2010.nhlbihin.net/atpiii/calculator.asp?usertype=prof
- ↑ Framingham Risk Score Calculator http://www.framinghamheartstudy.org/risk-functions/cardiovascular-disease/10-year-risk.php
- ↑ Jump up to: 6.0 6.1 2013 Prevention Guideline Tools CV Risk Calculator American Heart Association American College of Cardiology http://cvdrisk.nhlbi.nih.gov/calculator.asp http://my.americanheart.org/professional/StatementsGuidelines/PreventionGuidelines/Prevention-Guidelines_UCM_457698_SubHomePage.jsp
- ↑ Kolata G New York Times, November 17, 201 Risk Calculator for Cholesterol Appears Flawed http://www.nytimes.com/2013/11/18/health/risk-calculator-for-cholesterol-appears-flawed.html?_r=0
- ↑ Jump up to: 8.0 8.1 8.2 Cook NR, Ridker PM Further Insight Into the Cardiovascular Risk Calculator. The Roles of Statins, Revascularizations, and Underascertainment in the Women' Health Study. JAMA Intern Med. Published online October 06, 2014 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/25285455 <Internet> http://archinte.jamanetwork.com/article.aspx?articleid=1910550
Nissen SE Prevention Guidelines. Bad Process, Bad Outcome. JAMA Intern Med. Published online October 06, 2014 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/25285604 <Internet> http://archinte.jamanetwork.com/article.aspx?articleid=1910542 - ↑ Jump up to: 9.0 9.1 DeFilippis AP et al An Analysis of Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort. Ann Intern Med. 2015;162(4):266-275 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/25686167 <Internet> http://annals.org/article.aspx?articleid=2118596
Ridker PM, Cook NR Comparing Cardiovascular Risk Prediction Scores. Ann Intern Med. 2015;162(4):313-314 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/25686171 <Internet> http://annals.org/article.aspx?articleid=2118606 - ↑ Deprecated reference
- ↑ Pandya A et al Cost-effectiveness of 10-Year Risk Thresholds for Initiation of Statin Therapy for Primary Prevention of Cardiovascular Disease. JAMA. 2015;314(2):142-150 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/26172894 <Internet> http://jama.jamanetwork.com/article.aspx?articleid=2396476
Pursnani A et al Guideline-Based Statin Eligibility, Coronary Artery Calcification, and Cardiovascular Events. JAMA. 2015;314(2):134-141 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/26172893 <Internet> http://jama.jamanetwork.com/article.aspx?articleid=2396478
Greenland P, Lauer MS Cholesterol Lowering in 2015: Still Answering Questions About How and in Whom JAMA. 2015;314(2):127-128 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/26172891 <Internet> http://jama.jamanetwork.com/article.aspx?articleid=2396463 - ↑ Mittleman MA et al Treatment of Blood Cholesterol to Reduce Risk for Atherosclerotic Cardiovascular Disease: Grand Rounds Discussion From the Beth Israel Deaconess Medical Center. Ann Intern Med. 2015;163(4):280-290. <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/26280414 <Internet> http://annals.org/article.aspx?articleid=2427595
- ↑ Jump up to: 13.0 13.1 Damen JA, Hooft L, Schuit E et al Prediction models for cardiovascular disease risk in the general population: Systematic review. BMJ 2016;353:i2416 PMID: https://www.ncbi.nlm.nih.gov/pubmed/27184143 Free PMC Article
Holt T. Predicting cardiovascular disease: An over-abundance of risk models offering few real benefits to patients. BMJ 2016;353:i2621 PMID: https://www.ncbi.nlm.nih.gov/pubmed/27185596 - ↑ Lloyd-Jones DM, Huffman MD, Karmali KN et al Estimating Longitudinal Risks and Benefits From Cardiovascular Preventive Therapies Among Medicare Patients: The Million Hearts Longitudinal ASCVD Risk Assessment Tool. A Special Report From the American Heart Association and American College of Cardiology. Circulation. November 4, 2016 <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/27815375 <Internet> http://circ.ahajournals.org/content/early/2016/11/03/CIR.0000000000000467
Article contains includes a user guide & an Excel spreadsheet for calculating a person's risk (download Excel file from article) User's Guide to Million Hearts Longitudinal ASCVD Risk Assessment Tool. http://circ.ahajournals.org/content/circulationaha/suppl/2016/10/28/CIR.0000000000000467.DC1/Appendix__Users_Guide.pdf
Lloyd-Jones DM, Huffman MD, Karmali KN Estimating Longitudinal Risks and Benefits From Cardiovascular Preventive Therapies Among Medicare Patients: The Million Hearts Longitudinal ASCVD Risk Assessment Tool. J Am Coll Cardiol. 2016 Oct 28. pii: S0735-1097(16)36692-X. PMID: https://www.ncbi.nlm.nih.gov/pubmed/27825770 - ↑ Jump up to: 15.0 15.1 15.2 15.3 Yadlowsky S, Hayward RA, Sussman JB et al Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk. Ann Intern Med. 2018. June 5. <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/29868850 <Internet> http://annals.org/aim/article-abstract/2683613/clinical-implications-revised-pooled-cohort-equations-estimating-atherosclerotic-cardiovascular-disease
DeFilippis AP, Trainor P. When Given a Lemon, Make Lemonade: Revising Cardiovascular Risk Prediction Scores. Ann Intern Med. 2018. June 5. <PubMed> PMID: https://www.ncbi.nlm.nih.gov/pubmed/29868856 <Internet> http://annals.org/aim/article-abstract/2683614/when-given-lemon-make-lemonade-revising-cardiovascular-risk-prediction-scores - ↑ Jump up to: 16.0 16.1 16.2 Medical Knowledge Self Assessment Program (MKSAP) 18, American College of Physicians, Philadelphia 2018
- ↑ Jump up to: 17.0 17.1 17.2 Phend C. AHA: Revised Lipid Guide Boosts PCSK9s, Coronary Calcium Scans. New recommendations aim to cut statins in low-risk primary prevention. Med Page Today. Nov 10, 2018 https://www.medpagetoday.com/meetingcoverage/aha/76250
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. J Am Coll Cardiol. 2018 Nov 8. pii: S0735-1097(18)39034-X. PMID: https://www.ncbi.nlm.nih.gov/pubmed/30423393
Lloyd-Jones DM, Braun LT, Ndumele CE et al Use of risk assessment tools to guide decision-making in the primary prevention of atherosclerotic cardiovascular disease: A special report from the American Heart Association and American College of Cardiology. J Am Coll Cardiol. 2018 Nov 3. pii: S0735-1097(18)39036-3. PMID: https://www.ncbi.nlm.nih.gov/pubmed/30423392 - ↑ Jump up to: 18.0 18.1 Vassy JL et al. Estimation of atherosclerotic cardiovascular disease risk among patients in the Veterans Affairs health care system. JAMA Netw Open 2020 Jul 1; 3:e208236 PMID: https://www.ncbi.nlm.nih.gov/pubmed/32662843 PMCID: PMC7361654 Free PMC article https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2768238
- ↑ Jump up to: 19.0 19.1 Pylypchuk R et al. Cardiovascular risk prediction in type 2 diabetes before and after widespread screening: A derivation and validation study. Lancet 2021 Jun 12; 397:2264. PMID: https://www.ncbi.nlm.nih.gov/pubmed/34089656 https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00572-9/fulltext
- ↑ Jump up to: 20.0 20.1 Blue L, Kranker K, Markovitz AR et al Effects of the Million Hearts Model on Myocardial Infarctions, Strokes, and Medicare Spending. A Randomized Clinical Trial. JAMA. 2023;330(15):1437-1447. PMID: https://www.ncbi.nlm.nih.gov/pubmed/37847273 https://jamanetwork.com/journals/jama/fullarticle/2810696
- ↑ Heart Risk Calculator. Ahead Research. 2013-2019, based on 2017 ACC/AHA guideline http://www.cvriskcalculator.com/
ASCVD Risk Estimator. American College of Cardiology http://tools.acc.org/ASCVD-Risk-Estimator-Plus/#!/calculate/estimate/ - ↑ Jump up to: 22.0 22.1 Khan SS, Matsushita K, Sang Y et al. Development and Validation of the American Heart Association's PREVENT Equations. Circulation. 2024 Feb 6;149(6):430-449. PMID: https://www.ncbi.nlm.nih.gov/pubmed/37947085 PMCID: PMC10910659 (available on 2025-02-06)
- ↑ Jump up to: 23.0 23.1 Anderson TS, Wilson LM, Sussman JB Atherosclerotic Cardiovascular Disease Risk Estimates Using the Predicting Risk of Cardiovascular Disease Events Equations. JAMA Intern Med. Published online June 10, 2024. PMID: https://www.ncbi.nlm.nih.gov/pubmed/38856978 https://jamanetwork.com/journals/jamainternalmedicine/article-abstract/2819821
- ↑ Jump up to: 24.0 24.1 Diao JA, Shi I, Murthy VL et al Projected Changes in Statin and Antihypertensive Therapy Eligibility With the AHA PREVENT Cardiovascular Risk Equations. JAMA. 2024 Jul 29. PMID: https://www.ncbi.nlm.nih.gov/pubmed/39073797 https://jamanetwork.com/journals/jama/article-abstract/2821624
Grant JK, Ndumele CE, Martin SS.. The evolving landscape of cardiovascular risk assessment. JAMA 2024 Jul 29; PMID: https://www.ncbi.nlm.nih.gov/pubmed/39073798 https://jamanetwork.com/journals/jama/fullarticle/2821628
Khan SS, Lloyd-Jones DM. Statins for primary prevention of cardiovascular disease - With PREVENT, what's a clinician to do? JAMA 2024 Jul 29; [e-pub] PMID: https://www.ncbi.nlm.nih.gov/pubmed/39073988 https://jamanetwork.com/journals/jama/fullarticle/2821542 - ↑ Jump up to: 25.0 25.1 Sussman JB, Wilson LM, Burke JF, Ziaeian B, Anderson TS. Clinical Characteristics and Current Management of U.S. Adults at Elevated Risk for Heart Failure Using the PREVENT Equations: A Cross-Sectional Analysis. Ann Intern Med. 2024 Dec 17. PMID: https://www.ncbi.nlm.nih.gov/pubmed/39680921 https://www.acpjournals.org/doi/10.7326/ANNALS-24-01321
- ↑ Jump up to: 26.0 26.1 American Heart Association Prevent Online Calculator https://professional.heart.org/en/guidelines-and-statements/prevent-calculator