Assessing Cardiovascular Risk to Optimally Stratify Low- and Moderate- Risk Patients. Copyright. Not for Sale or Commercial Distribution

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CLINICAL Viewpoint Assessing Cardiovascular Risk to Optimally Stratify Low- and Moderate- Risk Patients Copyright Not for Sale or Commercial Distribution By Ruth McPherson, MD, PhD, FRCPC Unauthorised use prohibited. Authorised users can download, display, view and print a single copy for personal use Case Study Ms. AB is a 64-year-old mother of two who presents for her annual physical examination. Medications are limited to ramipril-hydrochlorothiazide (HCT) 10/12.5 mg o.d. Prior to her visit she had undergone routine blood work. On physical examination, Ms. AB is 165 cm (5 5 ) tall, weighs 77 kg, and her BMI is 28.3. Her average treated blood pressure (BP), measured in the office, is 138/84 mmhg. Her laboratory values include: total cholesterol (TC) 5.10 mmol/l, triglycerides 2.61 mmol/l, lowdensity lipoprotein cholesterol (LDL-C) 2.82 mmol/l, and high-density lipoprotein cholesterol (HDL-C) 1.10 mmol/l, with a TC:HDL-C ratio of 4.6 and high-sensitivity C-reactive protein (hs-crp) of 6.2 mg/l. Ms. AB is overweight and sedentary but is a nonsmoker. Family history is positive, with her father having had a myocardial infarction (MI) at the age of 52. Assessment of Risk Using the Framingham Risk Score (FRS) for Nonfatal MI or Cardiac Death Using the FRS model for hard coronary endpoints, the relevant variables (age, sex, TC, HDL-C, treated systolic BP and smoking status) would give her 16 risk-factor points, estimating a 4% risk of nonfatal MI or cardiac death over the next 10 years. Accurate assessment of cardiovascular (CV) risk is an essential component of patient care. Standardized CV risk-stratification tools (e.g., the Framingham Risk Score [FRS] 1 ) allow for rapid assessment based on a minimal number of readily obtainable variables. The 2006 Canadian Cardiovascular Society (CCS) s position statement, Recommendations for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease, recommended the use of the FRS for assessment of coronary risk. 2 The 2006 recommendations mentioned several other non-frs risk factors that should also be considered (e.g., family history, additional laboratory investigations). In contrast, the recently published CCS 2009 guidelines 3 for the treatment of dyslipidemia and prevention of cardiovascular disease (CVD) recommend the use of the revised Framingham tables 4 for total CVD risk rather than the original tables, which estimate risk for nonfatal myocardial infarction (MI) and coronary heart disease (CHD) death. This paper will briefly review the updated FRS for total CV risk and other existing coronary riskprediction formulas, discuss some of the additional risk factors that can help make coronary risk prediction more precise, and briefly review 2009 recommended treatment strategies based on assessed level of risk. Traditional CV Risk Evaluation Framingham The most commonly used coronary risk score tool has been the FRS, originally developed as a means

of predicting the development of coronary disease in individuals free of disease. 5 Over time, there have been several revisions and modifications to the risk score. In the format endorsed by both the CCS and the United States National Cholesterol Education Program Adult Treatment Panel-III (NCEP ATP-III), the FRS uses six variables to assess risk: age, sex, total cholesterol (TC), smoking status, high-density lipoprotein cholesterol (HDL-C), and systolic blood pressure. Depending on individual values for each variable, a point score is assigned. The total numerical score is associated with a sex-specific percentage risk of nonfatal MI or cardiac death in the next 10 years (10-year CHD risk). For the purposes of the 2006 guideline update, the CCS defined low risk as a person with < 10%, moderate risk as 10-19%, and high risk as 20% 10-year risk of a non fatal MI or CHD death. Framingham Risk Score for Total Cardiovascular Disease In the 2009 guidelines, the CCS recommends the FRS for total CVD published by the Framingham group in 2008. 4 The original FRS for nonfatal MI and CHD death has been shown to underestimate risk in specific categories of patients, in particular the young, women, and possibly those with the metabolic syndrome. Furthermore, the original FRS did not consider the risk of other important CV endpoints such as stroke. Based on the revised tables, a total CV FRS 20% at 10 years identifies subjects at high risk for a composite of CVD events, including CHD, stroke, peripheral arterial disease (PAD) and heart failure, whereas a 10-year risk of 10-19% denotes moderate or intermediate risk. Improving CV Risk Prediction Although a number of novel biomarkers have been proposed to further improve risk assessment, the 2009 guidelines clearly state, Novel biomarkers must show improved risk prediction over the previously accepted markers, improved CVD risk stratification, and demonstrate that clinical decisions and outcomes are influenced by their measurement. These include apolipoprotein B (apob) and measurement of high-sensitivity C-reactive protein (hscrp) for some, but not all, individuals. hs-crp is a stable and reliable marker for systemic inflammation, an important component of the atherosclerotic process. There is evidence of an association between increasing levels of hs-crp and increasing risk of future CV events. Figure 1 illustrates the consistency of these findings across 14 separate prospective cohort studies. 6 In the 2009 guidelines, the measurement of hs-crp is recommended for men over 50 and women over 60 who are at intermediate risk (10-19%) according to their total CV FRS score and who do not otherwise qualify for lipid-lowering therapy (particularly those with an LDL-C < 3.5 mmol/l, which is the threshold for introducing statin therapy in a patient in the intermediate-risk category). The inclusion of hscrp measurements is validated by level 1 evidence for the benefit of statin therapy in individuals meeting these criteria who have a hscrp > 2.0 mg/l. Data from the JUPITER (Justification for the Use of Statins in Primary Prevention: An Intervention Trial Evaluating Rosuvastatin) trial demonstrated that treatment of 25 individuals in this category for five years would prevent one major adverse CVD event. 7 This is considered a highly favourable number needed to treat (NNT). It should be noted that hs-crp can be elevated during acute illness or injury; hence measurement of hscrp is recommended in an otherwise well individual on two occasions at least two weeks apart, and the lower value should be used for risk assessment. ApoB. There is one ApoB molecule present in each of the atherogenic lipid particles [i.e., LDL-C, VLDL-C, lipoprotein(a)], which makes ApoB a sensitive indicator of risk beyond LDL-C when triglycerides are elevated. Overall, the risk of CV events is highest in individuals who have both an elevated ApoB (> 1.2 g/l) and elevated triglycerides (> 1.7 mmol/l). As such, it may be a particularly useful tool among patients with the metabolic syndrome. 8 Measurement of apob is not required but if a physician elects to do so, apob and LDL-C

Assessing Cardiovascular Risk Figure 1 Impact of hscrp on Cardiovascular Risk: Results from 14 Prospective Cohort Studies 6 3.0 2.0 Fully Adjusted Relative Risk 1.0 0.0 3.0 2.0 1.0 PHS 1997 WHS 2000 UK 2000 MONICA 2004 ARIC 2004 Iceland 2004 NHS 2004 0.0 HPFUS 2004 EPIC 2005 Strong 2005 Kuopio 2005 CHS 2005 PIMA 2005 FHS 2006 hscrp < 1 mg/l hscrp 1 to 3 mg/l hscrp > 3 mg/l ARIC = Atherosclerosis Risk in Communities study; CHS = Cardiovascular Health Study; EPIC = Evaluation for Prevention of Ischemic Complications- Norfolk study; FHS = Framingham Heart Study; HPFUS = Health Professionals Follow-Up Study; Iceland = Reykjavik Heart Study data; Kuopio = Kuopio Heart Study; MONICA = Monitoring Trends and Development in Cardiovascular Disease study; NHS = Nurses Health Study; PHS = Physicians Health Study; PIMA = Pima Indian study; Strong = Strong Heart Study; UK = British general practice cohort; WHS = Women s Health Study. can be considered as alternative primary targets for patients in the moderate- or high-risk categories (see Table 1). Family history. Many patients with coronary artery disease (CAD) (an estimated 10-15%) do not have any traditional coronary risk factors (e.g., dyslipidemia, hypertension, cigarette smoking). 9,10 These patients would not have been identified as being candidates for preventive therapy based on their total CV FRS. CHD has a major heritable component, which is not entirely explained by established risk factors. Overall, the history of early CHD in a parent is associated with a 1.7-fold to 2.0-fold increase in risk for their offspring after correction for conventional risk factors. 11 Furthermore, the predictive value of parental history may be even more pronounced among patients in the low-risk category, as assessed by the traditional total CV FRS variables. 11 Lipids. The 2009 guidelines stress the continued importance of achieving target LDL-C levels as a primary goal of therapy to reduce coronary risk; apob is the recommended primary alternate target. 3 For both high-risk and moderate-risk patients who are eligible for statin treatment, the goal is an LDL-C < 2 mmol/l or, alternatively, a > 50% reduction from baseline LDL-C, which can be attained by most patients with statin monotherapy. 3 For every 1.0 mmol/l reduction in LDL-C, there is a 20-25% relative risk reduction in CVD mortality and nonfatal MI. 3 Surrogate markers. Other useful tools to assess preclinical atherosclerosis include ankle brachial index (ABI), exercise stress testing, and carotid B mode ultrasonography. An ABI < 0.90 is indicative of > 50% stenosis in a peripheral artery, while a positive exercise stress test is highly predictive of CAD and future CV events. 3 Carotid ultrasonography can reveal evidence of early carotid atherosclerosis (visible arterial wall plaques or IMT >1.5 mm), and may be particularly useful in identifying undiagnosed, subclinical atherosclerosis in intermediate-risk patients. 3 It should be noted that the presence of atherosclerosis elevates a patient into the high-risk category.

Table 1 2009 Intervention and Target Levels 3 Risk Level Targets Initiate treatment if: Primary: Primary LDL-C Alternate High Consider treatment < 2 mmol/l apob < 0.80 CAD, PVD, atherosclerosis in all patients or 50% LDL-C Most patients with diabetes FRS > 20% RRS > 20% Class I, Level A Class I, Level A Moderate LDL-C > 3.5 mmol/l < 2 mmol/l apob < 0.80 FRS 10-19% TC/HDL-C > 5.0 or 50% LDL-C hscrp > 2 men > 50 years women > 60 years Family history and hscrp modulates risk Class IIA, Level A Low LDL-C > 5.0 mmol/l 50% LDL-C FRS < 10% Class IIA, Level A Class IIA, Level A Clinicians should exercise judgment when implementing lipid-lowering therapy; lifestyle modifications will have an important long-term impact of health and the long-term effects of pharmacotherapy must be weighed against potential side-effects. Meta-analysis of statin trials show that for each 1.0 mmol/l decrease in LDL-C, there is a corresponding relative risk reduction of 20-25%. Intensive LDL-C lowering therapy is associated with decreased CV risk. Those whose 10-year risk for CVD is estimated to be between 5 and 10% have been shown in randomized controlled trials to achieve the same relative risk reduction from statin therapy as those at higher 10-year risk (25-50% reduction in events) but the absolute benefit of therapy is estimated to be smaller (in the order of 1-5% reduction in CVD), the numbers needed to treat in order to prevent one cardiac event are higher and the cost/benefit of therapy less favourable than for those at higher risk for CVD. For individuals in this category the physician is advised to discuss these issues with the patient and, taking into account the patient s desire to initiate long-term preventive cholesterol-lowering therapy, to individualize the treatment decision. Ethnicity. Coronary risk can vary according to ethnicity, with the highest rates of CAD occurring in individuals of South Asian or Native ancestry, and the lowest rates being in individuals of Chinese descent. 3 However, the guidelines risk-stratification focus on excess weight and other metabolic features should equally benefit patients at higher risk based on ethnicity. 3 Reynolds Risk Score The Reynolds Risk Score (RRS) scoring system was developed by Ridker and colleagues and has been validated for use in women 12 and men 13 in the United States. The RRS incorporates the six variables of the original FRS and adds hs-crp, family history (parental history of MI before age 60) and HbA 1c (for patients with diabetes) (www.reynoldsriskscore.org). In validation studies, 43% of women who were classified by the FRS as having a 5-10% risk were reclassified by the RRS into higher- or lower-risk categories. 12 Among men, 17.8% of all evaluated individuals were reclassified into higher- or lower-risk categories compared to evaluation with the FRS. 13 Furthermore, the proportion of men reclassified among the subgroup at intermediate risk (5-20%

Assessing Cardiovascular Risk Case Study Commentary In the case presented above, Ms. AB has a 4% risk of nonfatal MI or cardiac death over the next 10 years, as calculated using the original FRS for hard cardiac endpoints. However, based on the new Framingham tables for total CVD risk, she is in the moderate-risk category with a 10-year risk estimate of 11.7% (see Tables 2 & 3). Her lipid values are below the intervention points for lipidlowering therapy in moderate-risk subjects (LDL-C > 3.5 mmol/l). Of note, Ms. AB has two additional risk factors that are not accounted for by the total CV FRS: positive family history (father had an MI) and elevated hs-crp (6.2 mg/l). Her family history would increase her risk by about 1.7-fold to approximately 19% over the next 10 years, still placing her in the moderate-risk category. However, the revised 2009 guidelines stipulate that patients in the moderate-risk category who have an hscrp > 2.0 g/l are candidates for statin therapy, irrespective of their plasma LDL-C level. For patients in the intermediate-risk category who are eligible for treatment, the goal is to achieve an LDL-C < 2.0 mmol/l (or an apob < 0.80 mmol/l) or alternatively to lower LDL-C by at least 50%. Thus, this patient is clearly a candidate for additional lifestyle modification and statin therapy. Table 2 CVD Points for Women 3 HDL-C Total SBP SBP Points Age mmol/l Cholesterol Not Treated Treated Smoker Diabetic 3 < 120 2 > 1.6 1 1.3-1.6 < 120 0 30-34 1.2-1.3 < 4.1 120-129 NO NO 1 0.9-1.2 4.1-5.2 130-139 2 35-39 < 0.9 140-149 120-129 3 5.2-6.2 130-139 YES 4 40-44 6.2-7.2 150-159 YES 5 45-49 > 7.2 > 160 140-149 6 150-159 7 50-54 160+ 8 55-59 9 60-64 10 65-69 11 70-74 12 75+ Points Allotted Total Points

Table 3 CVD Risk for Women 3 Points Risk Points Risk Points Risk 2 or less < 1% 6 3.3% 14 11.7% 1 1.0% 7 3.9% 15 13.7% 0 1.2% 8 4.5% 16 15.9% 1 1.5% 9 5.3% 17 18.51% 2 1.7% 10 6.3% 18 21.5% 3 2.0% 11 7.3% 19 24.8% 4 2.4% 12 8.6% 20 27.5% 5 2.8% 13 10.0% 21+ > 30% 10-year risk by FRS) was even higher, at 20.2%. 13 Conclusions The CCS 2009 recommendations for the diagnosis and treatment of dyslipidemia and prevention of CVD have recently been published. Major changes include the use of the revised Framingham tables for calculation of total CV risk; measurement of hs-crp in a subset of moderate-risk individuals in the > 50-year (male) or > 60-year (female) age categories who would not otherwise be candidates for statin therapy; and simplified intervention points and lipid targets for patients eligible for statin therapy. The author acknowledges the contribution of reviewer Alan Bell, MD. References: 1. Anderson KM, Odell PM, Wilson PW, et al. Cardiovascular disease risk profiles. Am Heart J 1991; 21(1 Pt 2):293-8. 2. McPherson R, Frohlich J, Fodor G, et al. Canadian Cardiovascular Society position statement--recommendations for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease. Can J Cardiol 2006; 22(11):913-27. 3. Genest J, McPherson R, Frohlich J, et al. 2009 Canadian Cardiovascular Society/Canadian guidelines for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease in the adult - 2009 recommendations. Can J Cardiol 2009; 25(10):567-79. 4. D Agostino RB Sr, Vasan RS, Pencina MJ, et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 2008; 117(6):743-53. 5. Kannel WB, McGee D, Gordon T. A general cardiovascular risk profile: the Framingham Study. Am J Cardiol 1976; 38:46-51. 6. Ridker PM. C-reactive protein and the prediction of cardiovascular events among those at intermediate risk: moving an inflammatory hypothesis toward consensus. J Am Coll Cardiol 2007; 49(21):2129-38. 7. Ridker PM, Danielson E, Fonseca FA, et al. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. N Engl J Med 2008; 359(21):2195-207. 8. Barter PJ, Ballantyne CM, Carmena R, et al. Apo B versus cholesterol in estimating cardiovascular risk and in guiding therapy: report of the thirtyperson/ten-country panel. J Intern Med 2006; 259(3):247-58.9. Greenland P, Knoll MD, Stamler J, et al. Major risk factors as antecedents of fatal and nonfatal coronary heart disease events. JAMA 2003; 290(7):891-7. 10. Khot UN, Khot MB, Bajzer CT, et al. Prevalence of conventional risk factors in patients with coronary heart disease. JAMA 2003; 290(7):898-904. 11. Lloyd-Jones DM, Nam BH, D Agostino RB Sr, et al. Parental cardiovascular disease as a risk factor for cardiovascular disease in middle-aged adults: a prospective study of parents and offspring. JAMA 2004; 291(18):2204-11. 12. Ridker PM, Buring JE, Rifai N, et al. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA 2007; 297(6):611-9. 13. Ridker PM, Paynter NP, Rifai N, et al. C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men. Circulation 2008; 118(22):2243-51. Copyright 2009 STA HealthCare Communications Inc. All rights reserved. This program is published by STA HealthCare Communications Inc. as a professional service to physicians through an unrestricted educational grant by AstraZeneca Canada Inc. The information and opinions contained herein reflect the views and experience of the authors and not necessarily those of AstraZeneca Canada Inc. or STA HealthCare Communications Inc. Any products mentioned herein should be used in accordance with the prescribing information contained in their respective product monograph.