Abstract

HomeCirculationVol. 119, No. 3“Risky Business” Free AccessEditorialPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessEditorialPDF/EPUB“Risky Business”Ten Years Is Not a Lifetime Vijay Nambi and Christie M. Ballantyne Vijay NambiVijay Nambi From the Section of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine and Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Tex. Search for more papers by this author and Christie M. BallantyneChristie M. Ballantyne From the Section of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine and Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Tex. Search for more papers by this author Originally published27 Jan 2009https://doi.org/10.1161/CIRCULATIONAHA.108.830281Circulation. 2009;119:362–364Nobody can go back and start a new beginning, but anyone can start today and make a new ending.— —Maria RobinsonAlthough the Framingham Risk Score forms the bedrock of coronary heart disease (CHD) risk prediction, it has several limitations that have been well documented.1 The clinician is left to manage a significant proportion of patients who have “low to intermediate” estimated risk but accrue the majority of CHD events because they form the majority (≈65%) of the population.Article p 382To address these deficiencies in the prediction of risk, several investigators have included other markers of risk such as biomarkers related to inflammation, genotypes, or imaging tests with traditional risk factors to improve CHD risk prediction. These analyses have resulted in the creation of novel risk-prediction schemes such as the Reynolds risk score, which added family history and high-sensitivity C-reactive protein (hs-CRP) to blood pressure, smoking, total and high-density lipoprotein cholesterol, and hemoglobin A1C to predict risk.2 However, whether algorithms have used biomarkers such as hs-CRP, imaging tests such as coronary calcium score or carotid intima-media thickness, or novel genotypes such as the single-nucleotide polymorphism on chromosome 9p21, the improvements in risk prediction have been modest. Other investigators have suggested that anybody who is not at very low risk should get an imaging test to further stratify risk.3 On the other hand, there have been efforts to identify the “lifetime risk” of CHD for individuals in various age groups.The concept of lifetime risk was highlighted in the National Cholesterol Education Program Adult Treatment Panel (ATP) III guidelines4 and is an important one, especially for individuals who are young to middle-aged. Traditional risk factors become manifest more often in the 4th and 5th decades of life when the estimated lifespan based on national averages is at least another 4 to 5 decades. Hence, estimating a 10-year risk may give individuals a false sense of security that they have a low risk for CHD, when in reality, this may not be true when their entire lifetime is considered.In the current issue of Circulation, Berry et al5 further demonstrate the importance of the concept of lifetime risk by observing that among individuals <50 years of age who have low risk by the Framingham Risk Score, equal numbers of individuals have a low lifetime risk and a high lifetime risk. Furthermore, they show that those with a low short-term (10-year) and a high lifetime risk have a greater burden and progression of subclinical atherosclerosis measured by imaging tests (carotid intima-media thickness and coronary calcium score) than those with low short-term and lifetime risks. To test their hypothesis, they used 2 population-based studies, the Coronary Artery Risk Development in Young Adults (CARDIA) study and the Multi-Ethnic Study of Atherosclerosis (MESA). Although this analysis provides important proof that not everybody with low risk is similar, certain limitations must be mentioned. The authors have already pointed out that they used the Framingham Risk Score in ethnicities in which it has not been well validated. Furthermore, it is unclear what therapy, if any, these individuals had over the course of the follow-up. Finally, it is unclear whether the individuals with low short-term and low lifetime risk remained the same throughout the course of the study or how many of them progressed to a higher lifetime risk on subsequent examinations.There clearly are limitations with the concept of lifetime risk as well. If one has a single elevated risk factor, one could have a high lifetime risk. For example, a 40-year-old man with a blood pressure of 118/78 mm Hg who is a nonsmoker and has a total cholesterol of 178 mg/dL has a lifetime CHD risk of 5%, whereas the same man with a total cholesterol of 201 mg/dL has a lifetime CHD risk of 46%. Clearly, as clinicians, we see such fluctuations in measurements of total cholesterol. Furthermore, given that the presence of any 1 elevated risk factor can confer a high lifetime risk, do we treat everybody with a high lifetime risk more aggressively? Primary prevention statin trials, such as the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT),6 have already shown that treatment with statins in an individual with hypertension, a traditional risk factor, decreases the risk of CHD events, which supports the concept that perhaps treating individuals with a high lifetime risk would be of value. Added to this are the results from another recent primary prevention trial, Justification for the Use of statins in Primary prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER),7 which showed the efficacy of statins in individuals with low-density lipoprotein cholesterol (LDL-C) <130 mg/dL but with hs-CRP levels >2 mg/L. The economic burden of the expanding use of statins must also be considered if individuals with a single traditional risk factor and high lifetime risk are treated with drugs to lower LDL-C level. The ATP IV report will need to take into account several key aspects: (1) the stronger evidence that has accumulated for primary prevention; (2) the differences in the short-term and lifetime risks in the population; (3) the additive value of other biomarkers, imaging tests, and genetic information; and (4) the current costs and safety of statin therapy.The use of biomarkers such as hs-CRP, imaging, or genotyping should be considered in a small segment of the population in which the short- to intermediate-term risk is indeterminate. This strategy may be more cost-effective given that most of these tests have a 1-time cost of approximately $50 to $200.Suggested New Risk-Stratification SchemaThe management of individuals in the highest-risk group (estimated 10-year CHD risk >20%) is fairly straightforward: They require aggressive risk factor modification. Traditionally, we have considered the management of low risk (estimated 10-year CHD risk of 0% to 10%) to be straightforward as well. However, emerging data such as those presented by Berry et al5 suggest that not everyone with “low” 10-year risk has low long-term risk. In our own analysis of the Atherosclerosis Risk In Communities study, we found that when the low-risk group was divided into 0% to 5% and 5% to 10% categories, a significant difference in observed risk was seen over a follow-up of ≈14 years.8 Hence, for more effective risk assessment and prevention of CHD, the definition of low risk and targets for therapy in these patients may need to be reconsidered.Currently, ATP III guidelines recommend counting the number of risk factors and estimating the Framingham Risk Score in individuals with 2 or more risk factors; however, on the basis of data that have suggested a potential for a high lifetime risk in the presence of even 1 traditional risk factor,9 this strategy needs to be reconsidered. One alternative approach (Figure) is to estimate the Framingham Risk Score in any individual who has any risk factor other than age. Once the Framingham Risk Score is estimated, for those who have an estimated short-term (10-year) risk of 0% to 10%, the lifetime risk should be estimated. If the estimated lifetime risk is low as well, therapeutic lifestyle changes should be recommended, and periodic follow-up to assess for risk factors should be continued, as is the standard of care. Because a high cholesterol level will result in a significant lifetime risk, those with high LDL-C will not be classified into the low-lifetime-risk group. Therapy to lower LDL-C should be considered in those individuals with LDL-C >160 mg/dL. In individuals with an estimated short-term risk of 0% to 10% and an increased lifetime risk, an additional risk marker such as hs-CRP or an imaging test such as coronary artery calcium score or carotid intima-media thickness may be considered. For individuals reclassified to a higher-risk group, the goal for LDL-C should be <130 mg/dL, with an optional goal of <100 mg/dL. For those individuals with no evidence of subclinical atherosclerosis or inflammation and low short-term (10-year) risk, the goal for LDL-C would remain <160 mg/dL, with an optional goal of <130 mg/dL. Finally, in the intermediate-risk group (10% to 20% estimated 10-year risk), the goal for LDL-C would be <130 mg/dL, with an optional goal of <100 mg/dL. In these individuals, additional imaging and biomarkers as suggested above could be used as an adjunct to guide intensity of therapy, ie, to identify individuals in whom the optional goal of LDL-C <100 mg/dL should be targeted. Prospective clinical trials should be designed to test new strategies for risk assessment using imaging tests, just as they have recently been conducted using hs-CRP. Download figureDownload PowerPointFigure. Alternative approach to risk assessment. For any individual with risk factors other than age, Framingham Risk Score should be estimated to determine short-term (10-year) risk, and lifetime risk should be evaluated to refine risk stratification. In individuals with low short-term risk but high lifetime risk, and in individuals at intermediate risk, additional imaging or biomarker assessments may help to further refine risk. TLC indicates therapeutic lifestyle changes; CIMT, carotid intima-media thickness.Evidence is mounting that the LDL-C levels present in most humans at birth (ie, ≈50 to 60 mg/dL) may be optimal. Overall, the benefit of incremental LDL-C reduction with statins appears to extend until these LDL-C levels are achieved. With the current availability of $4 generic statins, and given that more efficacious statins such as atorvastatin will become generic in the near future, the cost-effectiveness of statins will improve, which would allow more aggressive LDL-C targets in primary CHD prevention settings. Even before ATP IV guidelines are issued, the clinician will do well to understand that 10 years is definitely not a lifetime in CHD risk prevention.The opinions expressed in this article are not necessarily those of the editors or of the American Heart Association.DisclosureDr Ballantyne receives grant/research support from Abbott, AstraZeneca, GlaxoSmithKline, Merck, Pfizer, Sanofi-Synthelabo, Schering-Plough, and Takeda; serves as a consultant to Abbott, AstraZeneca, Atherogenics, GlaxoSmithKline, Merck, Merck/Schering-Plough, Novartis, Pfizer, Sanofi-Synthelabo, Schering-Plough, and Takeda; is on the speakers bureaus of AstraZeneca, GlaxoSmithKline, Merck, Merck/Schering-Plough, Pfizer, Reliant, and Schering-Plough; and receives honoraria from Abbott, AstraZeneca, Atherogenics, GlaxoSmithKline, Merck, Merck/Schering-Plough, Novartis, Pfizer, Sanofi-Synthelabo, Schering-Plough, and Takeda. Dr Nambi reports no conflicts.FootnotesCorrespondence to Christie M. Ballantyne, MD, Baylor College of Medicine, 6565 Fannin, M.S. A-601, Houston, TX 77030. E-mail [email protected] References 1 Hemann BA, Bimson WF, Taylor AJ. The Framingham Risk Score: an appraisal of its benefits and limitations. Am Heart Hosp J. 2007; 5: 91–96.CrossrefMedlineGoogle Scholar2 Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 2007; 297: 611–619.CrossrefMedlineGoogle Scholar3 Naghavi M, Falk E, Hecht HS, Jamieson MJ, Kaul S, Berman D, Fayad Z, Budoff MJ, Rumberger J, Naqvi TZ, Shaw LJ, Faergeman O, Cohn J, Bahr R, Koenig W, Demirovic J, Arking D, Herrera VL, Badimon J, Goldstein JA, Rudy Y, Airaksinen J, Schwartz RS, Riley WA, Mendes RA, Douglas P, Shah PK. From vulnerable plaque to vulnerable patient, part III: executive summary of the Screening for Heart Attack Prevention and Education (SHAPE) Task Force report. Am J Cardiol. 2006; 98: 2H–15H.CrossrefMedlineGoogle Scholar4 National Cholesterol Education Program. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002; 106: 3143–3421.LinkGoogle Scholar5 Berry JD, Liu K, Folsom AR, Lewis CE, Carr JJ, Polak JF, Shea S, Sidney S, O'Leary DH, Chan C, Lloyd-Jones DM. Prevalence and progression of subclinical atherosclerosis in younger adults with low short-term but high lifetime estimated risk for cardiovascular disease: the Coronary Artery Risk Development in Young Adults Study and Multi-Ethnic Study of Atherosclerosis. Circulation. 2009; 119: 382–389.LinkGoogle Scholar6 Sever PS, Dahlof B, Poulter NR, Wedel H, Beevers G, Caulfield M, Collins R, Kjeldsen SE, Kristinsson A, McInnes GT, Mehlsen J, Nieminen M, O'Brien E, Ostergren J; for the ASCOT Investigators. Prevention of coronary and stroke events with atorvastatin in hypertensive patients who have average or lower-than-average cholesterol concentrations, in the Anglo-Scandinavian Cardiac Outcomes Trial-Lipid Lowering Arm (ASCOT-LLA): a multicentre randomised controlled trial. Lancet. 2003; 361: 1149–1158.CrossrefMedlineGoogle Scholar7 Ridker PM, Danielson E, Fonseca FA, Genest J, Gotto AM Jr, Kastelein JJ, Koenig W, Libby P, Lorenzatti AJ, Macfadyen JG, Nordestgaard BG, Shepherd J, Willerson JT, Glynn RJ. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. N Engl J Med. 2008; 359: 2195–2207.CrossrefMedlineGoogle Scholar8 Nambi V, Chambless L, Folsom AR, Hu Y, Mosley T, Volcik K, Boerwinkle E, Ballantyne CM. Are all patients considered “low risk” for coronary heart disease really low risk? An analysis from the Atherosclerosis Risk in Communities (ARIC) Study. Circulation. 2008; 118 (suppl 2): S1125. Abstract.Google Scholar9 Lloyd-Jones DM, Leip EP, Larson MG, D'Agostino RB, Beiser A, Wilson PW, Wolf PA, Levy D. Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age. Circulation. 2006; 113: 791–798.LinkGoogle Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Centurión O (2016) Carotid Intima-Media Thickness as a Cardiovascular Risk Factor and Imaging Pathway of Atherosclerosis, Critical Pathways in Cardiology: A Journal of Evidence-Based Medicine, 10.1097/HPC.0000000000000087, 15:4, (152-160), Online publication date: 1-Dec-2016. Bleakley C, Pumb R, Harbinson M and McVeigh G (2015) A Reappraisal of the Safety and Cost-Effectiveness of Statin Therapy in Primary Prevention, Canadian Journal of Cardiology, 10.1016/j.cjca.2015.03.033, 31:12, (1411-1414), Online publication date: 1-Dec-2015. Bleakley C, Millar A, Harbinson M and McVeigh G (2013) Lifetime Risk of Cardiovascular Disease: The Next Generation in Risk Prediction, Canadian Journal of Cardiology, 10.1016/j.cjca.2012.03.025, 29:2, (147-150), Online publication date: 1-Feb-2013. Kerut E (2011) Coronary Risk Assessment and Arterial Age Calculation Using Coronary Artery Calcium Scoring and the Framingham Risk Score, Echocardiography, 10.1111/j.1540-8175.2011.01407.x, 28:6, (686-693), Online publication date: 1-Jul-2011. Nambi V, Brautbar A and Ballantyne C (2011) Novel Biomarkers and the Assessment of Cardiovascular Risk Preventive Cardiology: Companion to Braunwald's Heart Disease, 10.1016/B978-1-4377-1366-4.00005-6, (54-63), . Gooding H and de Ferranti S (2010) Cardiovascular risk assessment and cholesterol management in adolescents: getting to the heart of the matter, Current Opinion in Pediatrics, 10.1097/MOP.0b013e32833a6e22, 22:4, (398-404), Online publication date: 1-Aug-2010. Haddad R and Ballantyne C (2015) METEOR Trial Reports on the Effect of Rosuvastatin on Progression of Carotid Intima-Media Thickness in Low-Risk Individuals with Subclinical Atherosclerosis, The Physician and Sportsmedicine, 10.3810/psm.2010.06.1797, 38:2, (180-182), Online publication date: 1-Jun-2010. Jolobe O (2010) The wider issue of potential early-onset target organ damage, The American Journal of Emergency Medicine, 10.1016/j.ajem.2010.03.002, 28:4, (529-530), Online publication date: 1-May-2010. Nambi V, Chambless L, Folsom A, He M, Hu Y, Mosley T, Volcik K, Boerwinkle E and Ballantyne C (2010) Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk, Journal of the American College of Cardiology, 10.1016/j.jacc.2009.11.075, 55:15, (1600-1607), Online publication date: 1-Apr-2010. January 27, 2009Vol 119, Issue 3 Advertisement Article InformationMetrics https://doi.org/10.1161/CIRCULATIONAHA.108.830281PMID: 19171864 Originally publishedJanuary 27, 2009 KeywordsEditorialspreventionrisk factorscardiovascular diseasescoronary diseasePDF download Advertisement SubjectsEpidemiologyPrimary Prevention

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