Abstract
To compare the burden of statin therapy according to the Third Adult Treatment Panel (ATP-III) and the American College of Cardiology/American Heart Association (ACC/AHA) guidelines the Survey of Risk Factors of Non-Communicable Disease (SuRFNCD)−2011of Iran was used. A survey analysis associated with sex and age categorization was run. Of total 3496 persons (1322 men) aged 40–70 years, based on the ACC/AHA guidelines, about 46.5% were eligible to receive moderate- to high-intensity statin therapy. Based on the ATP-III guidelines, 17.0% were considered as needing statin drugs. Among adults aged <60 years, the proportion of those who were eligible for statin therapy was higher (38.3%) according to the ACC/AHA guidelines compared to the ATP-III guidelines (15.2%), a difference more prominent in adults aged ≥60 years (85.2% versus 25.0%). Agreement between the two guidelines was low (kappa: 0.32). Compared to the ATP-III guidelines, the ACC/AHA guidelines increase the number of adults eligible for statin therapy in an Iraninan population from 2.5 million to 7.0 million people according to the 2011 census, specifically in those aged ≥ 60 years, a finding in agreement with those of studies from different countries.
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Introduction
From decades ago, hypercholesterolemia has been recognized as an important and modifiable risk factor for cardiovascular diseases (CVDs)1,2. Several qualified meta-analyses have documented that cholesterol reduction with statins decreases CV morbidity and mortality in people with different baseline CV risk3,4,5; therefore, most guidelines recommend lipid-lowering therapy to prevent CVD.
The Adult Treatment Panel III (ATP-III) guidelines from the National Cholesterol Education Program (NCEP) for management of hypercholesterolemia were issued in 2001 and modified in 2004. In this report, Framingham 10-year risk for hard coronary heart disease (CHD) events was used for categorizing persons into 3 categories of high risk (>20%), moderate risk (10–20%) and low risk (<10%). Regarding drug therapy, patients with prevalent CHD or CHD risk equivalents are eligible for low density lipoprotein (LDL-C)-lowering drugs if they have LDL-C ≥100 mg/dl. Other individuals should receive statin therapy based on their risk category and LDL-C levels6,7.
In 2013, the American College of Cardiology (ACC) and the American Heart Association (AHA) released new guidelines on the assessment of CV risk and management of hypercholesterolemia8,9, which have been criticized from differ ent perspectives10,11,12,13. Main comments on these guidelines were regarding new perspectives on LDL–C treatment goals, use of a new CV risk assessment tool and threshold of 5% for moderate-intensity statin therapy. The latter change can increase the number of eligible individuals for statin therapy, imposing a heavy burden on health budgets. Based on the ACC/AHA guidelines, over one billion healthy (without CVD, diabetes or high LDL-C) people worldwide are estimated to receive statin and the global cumulative sales of statins by 2020 will be about a trillion dollars10,14,15,16.
Considering these potential implications, differences between the two cholesterol guidelines encouraged us to compare the burden of statin therapy according to these guidelines in the national survey of risk factors of non-communicable diseases (SuRFNCD) in Iran.
Results
Of 11867 individuals, complete data of 3496 individuals, aged 40–70 years was available; of these, 2174 (50.2%) were female. Mean (SE) age of the study population was 51.42 (0.06) years. Based on the ACC/AHA guidelines, 1977 (46.5%) of the study population [1019 (39.3%) female] were eligible to receive moderate- to high-intensity statin therapy [Fig. 1(a)]. Based on the ATP III guidelines, of the total study population aged 40–75 years, 690 (17.0%) subjects comprising of 417 females and 273 males, were believed to need statin drugs [Fig. 1(b)]. Table 1 demonstrates characteristics of the total population and those eligible for statin therapy according to each set of the two guidelines, separately. Characteristics of individuals eligible for statin therapy considering the ATPIII guidelines were compared with those of individuals eligible considering the ACC/AHA guidelines but not based on the ATP III guidelines; as displayed in Table 1, the latter individuals were older persons with better cardiovascular risk profile.
As shown in Fig. 2, among adults aged <60 years, the proportion of those who were eligible for statin therapy was higher (38.3%) based on the ACC/AHA guidelines vs the ATP III guidelines (15.2%). This difference was more prominent in adults aged ≥60 years (85.2% according to the ACC/AHA guidelines versus 25.0% according to the ATP III guidelines).
All 690 participants who were eligible for receiving statin therapy based on the ATP-III guidelines were also eligible to be treated according to the ACC/AHA guidelines, whereas, 1287 (63.64%) participants, including 685 men (50%) and 602 women (50%), were candidates for statin therapy only with respect to the ACC/AHA guidelines. The results showed a low level of agreement between two guidelines (Kappa agreement, 0.32) (Table 2).
Discussion
In this national study, the eligibility for statin therapy with respect to the ACC/AHA guidelines on the management of blood cholesterol with the aim of primary prevention of CVD was compared with the ATP-III guidelines, based on the survey analysis. Compared to the ATP-III guidelines, the recent guidelines increase the number of eligible participants for statin therapy (46.5% vs 17.0%). Considering age group analyses, this difference was more significant in participants aged ≥60 years (25.0% vs. 85.2%).
With respect to the Tehran Lipid and Glucose Study (TLGS), in an urban population of Iran, the burden of statin therapy according to the ACC/AHA guidelines was estimated to be about 8 million adults based on the 2011 census17 i.e. about 57% of healthy population, aged 40–75 years. Several studies have reported that the ACC/AHA guidelines increase the proportion of eligible individuals for statin therapy. Pencina et al.18 showed that nearly 48% of participants, aged 60–75 years would be eligible for statin therapy based on the ATP-III guidelines, whereas this amount increases to 77% based on the ACC/AHA guidelines; albeit in individuals aged 40–59 years, percentages of eligible candidates were similar. Recently, Cho et al.19 reported a higher proportion of eligible candidates for statin therapy according to the ACC/AHA guidelines compared to the ATP-III guidelines in a Korean population (55.0% vs 20.5%); this increase was more evident in people aged >60 years (84.5% vs 26.1%). Overall, it should be taken into account that the risk assessment tools of the two guidelines differ from each other and the ACC/AHA uses a pooled cohort equation to estimate both CHD and stroke events which their prevalence increases in the older population.
In the present study, individuals eligible for statin therapy according to the ACC/AHA guidelines but not based on the ATP III guidelines were older persons with better cardiovascular risk profile. With regard to more significant difference between the two guidelines in the elderly, it should be kept in mind that according to more benefit of cholesterol lowering medications in the elderly, this age group population with high rate of CVD events and mortality, should not be deprived of statin therapy; however, many considerations including comorbidities, life expectancy, drug interactions due to polypharmacy should be taken into account20,21.
We also attempted to estimate the level of agreement between these two guidelines on eligible participants for statin therapy and found to be low (Kappa = 0.32, p-value < 0.001). In the Jung, et al. study in a Korean population with subclinical coronary atherosclerosis22, the level of agreement was 45% which was markedly higher than our study, which may be due to different study populations regarding their baseline risk.
Although statins decrease the risk of cardiovascular events, concerns about side effects, especially muscle-related, particularly in situations where the number of eligible candidates for statin therapy increases according to the ACC/AHA guidelines, may dissuade physicians from prescribing these beneficial medications23,24. However, with respect to new-onset diabetes (DM) following statin use, data from clinical trials25,26 also observational studies27 show only modestly increased risk of DM, especially in individuals with risk factors of DM28. Regarding other adverse effects, a systematic review of randomized statin trials showed that statin therapy slightly increases the risk of transaminase elevations, although not myalgia, creatine kinase elevations, rhabdomyolysis, or withdrawal of therapy compared with placebo29. Available data addressing the effects of lipid lowering with statins on the neurocognitive function is conflicting30. Taken together, considering the safety aspects of statins plus the significant reduction in the risk of CVD events, benefits of statin therapy may outweigh the high proportion of people31,32.
Our study has some limitations. First, we could not obtain participants’ information on lipid lowering therapies which can cause overestimations in our findings. In the Tehran Lipid and Glucose Study (TLGS), only 6% of the 40–75 year-old urban Iranians used lipid lowering drugs32. Second, we did not have detailed data on history of CHD, cerebrovascular events or peripheral vascular disease and used only prevalent CVD data that might result in the underestimation of CVD. Last but not least is the lack of information on family history of premature CVD which is one of risk factors included in the ATP-III risk assessment algorithm. However, the major strength of this study lies in its large sample size from a national Iranian population (SuRFNCD-2011).
In conclusion, compared to the ATP-III guidelines, use of the ACC/AHA guidelines increase the number of adults eligible for statin therapy in the Iranian population from 2.5 million to 7.0 million people according to the 2011 census, specifically in those aged ≥60 years. These findings are in agreement with those of other studies from different countries.
Materials and Methods
SuRFNCD-2011
We conducted a secondary analysis on data of SuRFNCD-2011. Briefly, SuRFNCD-2011 is a national survey for non-communicable disease risk factors using a random multistage cluster sampling method in non-hospitalized and non-institutionalized Iranian individuals, aged 6–70 years33. Between May 22nd and June 20th 2011, 11,867 individuals, including 4955 men were surveyed using a four stage sampling system. Each address was obtained and the individual was contacted and registered. Non-response was reported for an individual sampling level if he/she refused to participate after three attempts. A consent form with respect to the Declaration of Helsinki was read out by the interviewer at the beginning of each interview and acceptance or refusal to participate was officially documented. All participants provided verbal informed consent. The CDC Board of Ethics also approved the study protocol33. All methods of the current study were performed in accordance with the relevant guidelines and regulations.
Medical history, clinical examination and laboratory measurements
All experiments were performed in accordance with relevant guidelines and regulations. Systolic blood pressure (SBP) and diastolic BP (DBP) were measured three times, with intervals of 5 minutes, in a seating position from the right arm using a standard Omron M7 sphygmomanometer (HEM-780-E) and the mean value was considered as the subject’s SBP and DBP. All measurements of lipid concentrations were assessed in venous samples drawn after 12–14 h overnight fasting. According to the standard protocol, a 10 ml sample of venous blood, collected in 4 tubes, was drawn from each individual by trained laboratory staff and was sent to collaborating centers. Samples were immediately centrifuged (1500 rpm for 10 min) at each designated laboratory, and transferred under cold chain conditions to the Central Reference Laboratory of Ministry of Health of Iran (Tehran, Iran). Serum lipids including total cholesterol, triglycerides, LDL-C and high density lipoprotein (HDL-C) were determined by enzymatic methods (Parsazmun, Karaj, Iran). Enzymatic calorimetric methods with a glucose oxidize test was used for measuring fasting plasma glucose (FPG). Inter- and intra-assay coefficients of variation (CV) at baseline and follow-up phases were 2.1% and 2.6%, respectively33.
Definition of terms
Type 2 diabetes (DM) was defined if the participant responded positively to any of following questions: “Are you currently taking oral agent or insulin for DM, prescribed by a doctor or other health worker?” and “Have you ever been told by a doctor or other health worker that you have diabetes?” or if his/her FPG was ≥126 mg/dl. Hypertension was defined as SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or taking any anti-hypertensive medications.
A current smoker was defined as a person who was smoking daily any amount of any kind of tobacco at the time of the interview. Daily smokers of pipe and pipe/chopogh users were also defined as current smokers.
Prevalent CVD was defined as responding positive to the following question: “Have you ever been told by a doctor or other health worker that you have a heart problem?”
ATP-III risk assessment
The NCEP ATP-III guidelines, professional guidelines on detection, evaluation and treatment of hypercholesterolemia were published in 2001 and modified in 20046,7. In this report, for determination of LDL-C goals and cut points for therapy, four subgroups of individuals aged >20 years have been defined: (1) High risk: subjects with prevalent CHD or CHD risk equivalent which includes non-coronary forms of atherosclerotic disease, DM or having ≥2 risk factors with 10-year risk for hard CVD >20%, (2) Moderately high risk: subjects having ≥2 risk factors with 10-year risk for hard CVD 10% to 20%, (3) Moderate risk: having ≥2 risk factors with 10-year risk for hard CVD <10%, and (4) Low risk: 0–1 risk factor. Ten-year CV risk scoring was based on the Framingham risk scoring method; risk factors included in this algorithm are age, gender, cigarette smoking, family history of premature CHD, hypertension (SBP ≥140 mmHg or DBP ≥90 mmHg or antihypertensive treatment), low-HDL-C (<40 mg/dl) and total cholesterol.
According to the ATP-III categorization, recommended LDL-C levels for drug therapy are ≥ 100 mg/dl, ≥ 130 mg/dl and ≥160 mg/dl in the high-, moderately high- and the moderate risk groups, respectively. Lower risk persons will receive treatment if LDL-C level is ≥ 190 mg/dl.
ACC/AHA risk assessment
The 2013 ACC/AHA guidelines34 used the Pooled Risk Equations for non-Hispanic white and black men and women to assess CV risk. The 10-year risk of hard CVD events is calculated based on age, gender, race, SBP, DBP, treatment for hypertension, total cholesterol, HDL-C, DM and current smoking status. Individuals, aged 40–75 years are categorized as four high risk subgroups that benefit from moderate- to high-intensity statin therapy as follows: (1) High-intensity statin for individuals with clinical CVD, (2) High-intensity statin for subjects with LDL-C ≥ 190 mg/dl, (3) High-intensity statin for diabetic patients with LDL-C 70–189 mg/dl and a 10-year CVD risk of at least 7.5% and moderate-intensity statin for those with CVD risk <7.5%, and (4) Moderate- to high-intensity statin for non-diabetic individuals with LDL-C 70–189 mg/dl and 10-year hard CVD risk of at least 7.5% and moderate-intensity statin for those with CVD risk of 5–7.5%.
Statistical analysis
Mean (SE) values for continuous and frequencies (%) for categorical variables of baseline characteristics were described. A survey analysis was done using Stata 14 for Windows to generalize the results to the adult Iranian population; data were weighted directly to the 2011 population of Iran aged 40–49 years, 50–59 years and ≥60 years, based on the 2011 national Iranian census, to match the age (10-year strata) and gender.
Kappa statistics were measured to determine the chance level of agreement between the ATP-III and ACC/AHA guidelines35. As suggested by Landis and Koch, kappa values of <0.40, 0.41 to 0.60, 0.61 to 0.8 and 0.81 to 1.0 would indicate poor-to-fair agreement, moderate agreement, significant agreement and excellent agreement, respectively36.
References
Group, P. P. R. Relationship of blood pressure, serum cholesterol, smoking habit, relative weight and ECG abnormalities to incidence of major coronary events: final report of the Pooling Project. Journal of chronic diseases 31, 201–306 (1978).
Cicero, A. F. et al. Lipid-lowering nutraceuticals in clinical practice: position paper from an International Lipid Expert Panel. Nutrition reviews 75, 731–767 (2017).
Baigent, C., Keech, A., Kearney, P. & Blackwell, L. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90 056 participants in 14 randomised trials of statins. The Lancet 366, 1267 (2005).
Trialists, C. T. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. The Lancet 380, 581–590 (2012).
Ursoniu, S. et al. The effect of statins on cardiovascular outcomes by smoking status: A systematic review and meta-analysis of randomized controlled trials. Pharmacological research 122, 105–117 (2017).
National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). 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 106, 3143-3421 (2002).
Grundy SM, C. J., Merz, C. N. et al. Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. J Am Coll Cardiol 44 (2004).
Goff, D. C. et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk. Journal of the American College of Cardiology 63, 2935–2959 (2014).
Stone, N. J. et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Journal of the American College of Cardiology 63, 2889–2934 (2014).
JP, I. More than a billion people taking statins?: potential implications of the new cardiovascular guidelines. JAMA 311, 463–464 (2014).
Athyros, V. G., K, N., Karagiannis, A. & Mikhailidis, D. P. The 2013 American College of Cardiology/American Heart Association guidelines for the treatment of dyslipidemia: mind the gaps! Current Medical Research and Opinion 30, 1701–1705 (2014).
Jamé, S., Wittenberg, E., Potter, M. B. & Fleischmann, K. E. The new lipid guidelines: what do primary care clinicians think? The American journal of medicine 128, 914. e915-914. e910 (2015).
White, C. M., Weeda, E. R. & Nguyen, E. Should an LDL-Cholesterol Target–Based Approach Be Readopted? Annals of Pharmacotherapy, 1060028017722009 (2017).
Downs, J. & Good, C. New cholesterol guidelines: has Godot finally arrived? Annals of internal medicine 160, 354–355 (2014).
Martin, S. S. & Blumenthal, R. S. Concepts and controversies: the 2013 American College of Cardiology/American Heart Association risk assessment and cholesterol treatment guidelines. Annals of internal medicine 160, 356–358 (2014).
Seth, B. & Williams, J. S. Recent AHA/ACC cholesterol guidelines: vice or virtue? Metabolism 5, 605–606 (2014).
Asgari, S. et al. The burden of statin therapy in urban population of Iran based on new ACC/AHA guideline. Tehran University Medical Journal TUMS Publications 72, 814–822 (2015).
Pencina, M. J. & D’Agostino, N.-B. A. RB, Sr., et al. Application of new cholesterol guidelines to a population-based sample. N Engl J Med 370, 1422–1431 (2014).
Cho, Y. K. et al. 2013 ACC/AHA Cholesterol Guideline Versus 2004 NCEP ATP III Guideline in the Prediction of Coronary Artery Calcification Progression in a Korean Population. Journal of the American Heart Association 5, e003410 (2016).
Katsiki, N., Kolovou, G., Perez-Martinez, P. & Mikhailidis, D. P. Dyslipidaemia in the elderly: to treat or not to treat? Expert review of clinical pharmacology (2018).
Ruscica, M. et al. Appropriateness of statin prescription in the elderly. European journal of internal medicine (2018).
Jung, C. H. et al. 2013 ACC/AHA versus 2004 NECP ATP III Guidelines in the Assignment of Statin Treatment in a Korean Population with Subclinical Coronary Atherosclerosis. PLoS ONE 10, e0137478, https://doi.org/10.1371/journal (2015).
Banach, M. et al. Statin intolerance–an attempt at a unified definition. Position paper from an International Lipid Expert Panel: This paper is also published in parallel in Archives of Medical Science [Banach M, Rizzo M, Toth PP, et al. Statin intolerance–an attempt at a unified definition. Position paper from an International Lipid Expert Panel. Arch Med Sci 2015; 11 (1): 1–23]. Expert opinion on drug safety 14, 935–955 (2015).
Rosenson, R. S. et al. Optimizing cholesterol treatment in patients with muscle complaints. Journal of the American College of Cardiology 70, 1290–1301 (2017).
Sattar, N. et al. Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials. The Lancet 375, 735–742 (2010).
Navarese, E. P. et al. Meta-analysis of impact of different types and doses of statins on new-onset diabetes mellitus. The American journal of cardiology 111, 1123–1130 (2013).
Casula, M. et al. Statin use and risk of new-onset diabetes: A meta-analysis of observational studies. Nutrition, Metabolism and Cardiovascular Diseases 27, 396–406 (2017).
Katsiki, N., Rizzo, M., Mikhailidis, D. P. & Mantzoros, C. S. New-onset diabetes and statins: throw the bath water out, but, please, keep the baby! Metabolism-Clinical and Experimental 64, 471–475 (2015).
Kashani, A. et al. Risks associated with statin therapy. Circulation 114, 2788–2797 (2006).
Banach, M. et al. Intensive LDL-cholesterol lowering therapy and neurocognitive function. Pharmacology & therapeutics 170, 181–191 (2017).
Pandya, A., Sy, S., Cho, S., Weinstein, M. C. & Gaziano, T. A. Cost-effectiveness of 10-year risk thresholds for initiation of statin therapy for primary prevention of cardiovascular disease. JAMA 314, 142–150 (2015).
Khalili, D. et al. A new approach to test validity and clinical usefulness of the 2013 ACC/AHA guideline on statin therapy: A population-based study. International journal of cardiology 184, 587–594 (2015).
Esteghamati, A. et al. Trends in the prevalence of diabetes and impaired fasting glucose in association with obesity in Iran: 2005–2011. Diabetes research and clinical practice 103, 319–327 (2014).
Lloyd-Jones, D. M. & Stone, G. D. NJ. Statins, risk assessment, and the new American prevention guidelines. Lancet 383, 6002 (2013).
Thompson, W. D. & Walter, S. D. A reappraisal of the kappa coefficient. Journal of clinical epidemiology 41, 949–958 (1988).
Landis, J. R. & Koch, G. G. The measurement of observer agreement for categorical data. biometrics, 159-174 (1977).
Acknowledgements
We would wish to acknowledge Ms. Niloofar Shiva for critical editing of English grammar and syntax of the manuscript.
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Study conception and design: S.A., H.A., D.K.H., H.R.B. Analysis and interpretation of data: S.A., H.A., D.K.H. Drafting of manuscript: S.A., H.A., D.K.H. Critical revision: S.A., H.A., D.K.H., H.R.B., A.M.H., A.M., K.E.
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Asgari, S., Abdi, H., Hezaveh, A.M. et al. The Burden of Statin Therapy based on ACC/AHA and NCEP ATP-III Guidelines: An Iranian Survey of Non-Communicable Diseases Risk Factors. Sci Rep 8, 4928 (2018). https://doi.org/10.1038/s41598-018-23364-9
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DOI: https://doi.org/10.1038/s41598-018-23364-9
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