Lifestyle Interventions and Carotid Plaque Burden: A Comparative Analysis of Two Lifestyle Intervention Programs in Patients with Coronary Artery Disease



 

Rachid A Elkoustaf, MD, MPH1; Omar M Aldaas, MD2;
Colombus D Batiste, MD1; Adina Mercer, MD3; Mario Robinson, MD4;
Darlene Newton, DrPH5; Raoul Burchett, MA, MS5;
Cynthia Cornelius, RVT6; Heidi Patterson, MPH1;
Mohamed H Ismail, MD, MPH5

Perm J 2019;23:18.196 [Full Citation]

https://doi.org/10.7812/TPP/18.196
E-pub: 09/19/2019

ABSTRACT

Background: The cardioprotective effects of intensive lifestyle regimens in primary prevention have been elucidated; however, there is a paucity of data comparing the effects of different lifestyle regimens in patients with established coronary artery disease (CAD) or CAD equivalent, specifically vis-à-vis carotid plaque regression.
Methods: We performed a randomized, single-center, single-blind study in 120 patients with established CAD. Patients were randomly assigned to either 9 months of the Complete Health Improvement Program (CHIP), an outpatient lifestyle enrichment program that focuses on improving dietary choices, enhancing daily exercise, increasing support systems, and decreasing stress; or to 9 months of an ad hoc, nonsequential combination of various healthy living classes offered separately through a health maintenance organization and referred to as the Healthy Heart program. Baseline and 9-month change in carotid intima-media thickness (CIMT) were measured.
Results: Among 120 participants, data were analyzed for 79, of which 68 (86%) completed the study. Both average CIMT and average maximum CIMT increased over 9 months, but the changes between groups were insignificant. There were marked differences in the mean body mass index favoring the CHIP group (-1.9 [standard deviation = 1.9]; p < 0.001) and statistically significant within-group improvements in blood pressure, triglyceride level, 6-minute walk test result, self-assessment well-being score, and Patient Health Questionnaire-9 score that were not observed between groups.
Conclusion: Neither the CHIP nor Healthy Heart was effective in inducing plaque regression in patients with established CAD after a 9-month period. However, both were effective in improving several CAD risk factors, which shows that the nonsequential offering of healthy lifestyle programs can lead to similar outcomes as a formal, sequential, established program (CHIP) in many aspects. These results have important implications as to how lifestyle changes will be implemented as tertiary prevention measures in the future.

INTRODUCTION

Coronary artery disease (CAD) continues to be a major cause of morbidity and mortality in developed countries and is the cause of one-fifth of deaths in the US.1 Although CAD death rates have declined worldwide since the turn of the century, it remains our leading cause of death.1-3 Modification of cardiovascular risk factors is responsible for nearly half of the decrease in deaths secondary to CAD, but much more effort is needed.4 Changes in lifestyle such as smoking cessation, regular physical activity, and combined dietary changes have been shown to reduce mortality by 20% to 35%.5,6 Among the dietary changes, a plant-based diet has been proposed as an effective way to reduce the massive CAD burden, mainly because cardiovascular disease rarely develops in populations that consume a plant-based diet.7-14 Additionally, meta-analyses have shown a reduced risk of CAD development and occurrence of CAD events or cerebrovascular disease events with a plant-based diet.15-19 It is for these reasons that a plant-based diet is one of the healthy eating patterns recommended by the 2015 to 2020 Dietary Guidelines for Americans.20

Clinical trials have examined the use of lifestyle improvement with whole-foods, plant-based diets in the treatment of established CAD.21-24 Multiple prospective studies, reviews, and meta-analyses have demonstrated the positive effects that a plant-based diet has on various cardiac risk factors such as body mass index (BMI), non-high-density lipoprotein (HDL) cholesterol, blood pressure, type 2 diabetes, and metabolic syndrome.15-19 Among the limitations of the aforementioned studies are a lack of a head-to-head comparison of lifestyle improvement programs using plant-based diets, a lack of testing such a program in a heterogenous group of people, and the lack of a validated test to serve as measure for the CAD burden. Because a substantial percentage of patients are surviving their initial cardiac event with improved short- and long-term outcomes, it would be valuable to determine if there is an optimal lifestyle improvement program for tertiary prevention of established CAD.25-35 We aimed to answer these questions by testing 2 types of lifestyle improvement programs head-to-head in a heterogenous population and by using carotid intima-media thickness (CIMT) as an indirect measure of the effect of these programs on CAD.

Lifestyle Improvement Programs

The Complete Health Improvement Program (CHIP) is an intensive outpatient lifestyle program that emphasizes a whole foods, low-fat, plant-based diet with moderate exercise and stress relief. It was selected to represent the best of the commercial programs available to the public because it is intensive (18 sessions covering the major topics of lifestyle improvement in detail), convenient (outpatient format with no more than 2 classes per week), relatively affordable (average cost of $400 per person for the entire program as of 2015), and well documented in the extant literature as consistent and effective in improving the various risk factors for CAD.36-39 

The Healthy Heart (HH) program is a nonsequential combination of various outpatient healthy lifestyle classes, which we organized for this study. It represents the best of the existing lifestyle resources available at our integrated care health maintenance organization and is also intensive (> 12 sessions) and affordable (all classes offered at no copayment), and covers the same topics as those covered in CHIP and in the aforementioned literature.21-24 Classes included stress relief; healthy eating that focused on low-fat, Mediterranean, and plant-based diets; and lowering blood pressure and cholesterol.

Test and Study Objective

CIMT was chosen as the test to measure the outcome because it is a noninvasive, well-validated surrogate cardiovascular endpoint.40-47

The primary objective of this study was to evaluate whether either of the programs (CHIP or HH) leads to improvements in arterial plaque in patients with established CAD by measuring the CIMT. The secondary aims were to determine if either of the programs improves any of the following: Patient quality of life (QoL score using the Ferrans and Powers’ Quality of life index and Patient Health Questionnaire-9 [PHQ-9] depression screen), BMI, waist-hip ratio, hemoglobin A1C (HbA1c), lipid levels, blood pressure, and performance in the 6-minute walk test.

METHODS

The study included adult patients with established or known CAD, which was defined as having a diagnosis of at least one of the following on their medical problem list: Coronary artery disease, chronic angina, or atherosclerosis of the aorta. Exclusion criteria were unstable angina or acute coronary syndrome, both ST and non-ST segment elevation myocardial infarctions within 60 days before the start of the program; current pregnancy; life expectancy less than 1 year such as in patients with terminal cancer or those under hospice care; current chemotherapy; advanced or end-stage organ disease; active alcohol or drug abuse problems; inability to tolerate a high-fiber diet secondary to active inflammatory bowel disease; inability to understand spoken English because the program includes videos that are available only in English; and previous participation in CHIP or the health education classes.

All patients were randomly assigned to either the CHIP group or HH group. In both groups, sessions lasted approximately 90 to 120 minutes and were taught by a certified health educator experienced in teaching these programs. Those in the HH group participated in health education classes that encompassed 12 weekly sessions, which included 1 HH class, 1 Living Well with High Blood Pressure class, 1 Becoming Vegetarian: Facts & Myths class, 1 whole-foods, low-fat, plant-based cooking demonstration, 2 Cholesterol Lowering classes, and 6 Mind-Body Health classes. Afterward, participants could attend an in-person weight management and health maintenance support group or use telephone health coach appointments with health educators (wellness coaching by phone) every other week for 6 months. The class teachers and phone coaches were not among the study investigators and were not informed about the study.

The patients randomly assigned to CHIP participated in an introductory session followed by 2 classes per week for the first 6 weeks, 1 class per week for weeks 7 to 12, and then 1 class every 2 weeks for 6 months. Food demonstrations were included as part of the 9-month program every other week in the first 3 months and once per month for the last 6 months.

Participants from both the CHIP and HH groups turned in exercise records weekly and a lifestyle evaluation form monthly. Patients recorded the number of steps walked, and quarterly totals were announced in class for those with the most steps. Study participants received recommendations that were based on the results from the lifestyle evaluation. Participants from both groups also had access to an in-person appointment with a registered dietitian and/or personal trainer if they desired it. This was not part of the core of either program. A physician and study investigator were available on-site for assistance if subjects had any questions during all sessions for both groups. Support phone calls by staff were done to follow-up on those in either group who missed sessions, appeared to be struggling, or who requested more frequent follow-up. Calls were logged.

The primary effectiveness endpoint was change in the arterial plaque, as determined by the measurement of the CIMT at 9 months. Secondary endpoints included self-assessment well-being (QoL) and PHQ-9 scores, BMI, waist-hip ratio, blood pressure, short-term QoL as assessed by the 6-minute walk test, HbA1c, and lipid profile.

Before treatment, participants underwent baseline assessment of their CIMT, QoL score, the depression questionnaire (PHQ-9) score, body weight, height, BMI, systolic and diastolic blood pressures, heart rate, 6-minute walk test performance, HbA1c, total cholesterol levels, triglyceride concentrations, low-density lipoprotein (LDL) and HDL values, and high-sensitivity C-reactive protein.

Body weight, BMI, waist circumference, and blood pressure were repeated at monthly intervals. Blood tests were repeated at 6 weeks and 3, 6, and 9 months. The CIMT, the QoL questionnaire, the PHQ-9, and 6-minute walk test were repeated after 9 months.

A standard B-mode ultrasound examination was used to evaluate CIMT and the presence of carotid plaque. The ultrasound scan was performed in the anterior, lateral, and posterior projections of the right and left carotid arteries. A total of 3 measurements were performed on the far and near walls of the common carotid artery, bifurcation, and internal carotid arteries. The mean maximum CIMT was calculated by averaging the values of the maximum intima-media thickness from 10 preselected segments of the carotid arteries. Carotid plaque was defined as endoluminal protrusion of the arterial lumen of at least 0.5 mm or 50% of the surrounding CIMT and/or demonstration of a CIMT greater than 1.5 mm. Software designed for this purpose was used to allow automated CIMT measurements, statistical analysis for scoring, storage of measurements for future reference, and evaluation of progression. An experienced sonographer, who was blinded to the study group that patients were assigned to, performed all ultrasonography.

Categorical variables are represented as frequencies and percentages, and continuous variables are shown as mean and standard deviation (SD). The c2 test was used to compare categorical variables between groups. As for the continuous variables, differences between groups were assessed with the Wilcoxon rank sum test (Mann-Whitney test) at baseline and at the conclusion of the study. The Wilcoxon signed-rank test was used to look at differences within patients from the start to the end of the study, which were then compared between groups with another Wilcoxon rank sum test.

RESULTS

Of 1000 patients with CAD who met the study criteria, 120 initially agreed to participate and were randomly assigned to either the CHIP or HH group (Figure 1). However, when called for scheduling for the study, 11 and 12 patients declined from the CHIP and HH groups, respectively. Early in the study, an additional 9 patients from the CHIP group and 8 from the HH group quit the study for various reasons, including personal health, family, disagreement with concepts taught in CHIP, difficulty with traveling, and inconsistent attendance in the classes. Additionally, 1 patient in the CHIP group died shortly after the start of the study secondary to a stroke and was thus not included in the baseline data. Baseline data were available for 39 participants in the CHIP group and 40 in the HH group, with similar baseline characteristics in both groups (Table 1). During the course of the study, 3 participants did not complete follow-up and 1 died in the CHIP group, and 7 did not complete follow-up in the HH group. This left 35 and 33 participants in the CHIP and HH groups, respectively.

The effects that the studied lifestyle interventions had on QoL, various cardiac risk factors, blood markers, and CIMT are shown in Table 2. The QoL score improved significantly within the CHIP group (mean = 2, SD = 5; p = 0.004) but not within the HH group (p = 0.3) or between groups (p = 0.8). Although no significant difference was observed in the PHQ-9 scores between groups (p = 0.3), there was an improvement within the CHIP group (mean = -1.4, SD = = 3.3; p = 0.01) and HH group (mean = -1.3, SD = 2.5; p = 0.01).

The BMI decreased significantly in the CHIP group (mean = -1.9, SD = 1.9; p < 0.001) but not in the HH group (p = 0.09). The difference between groups in the final BMI at 9 months was also significant (p = 0.01), as was the change within patients over the 9 months (p < 0.001). Waist-hip ratio also decreased significantly in the CHIP group (mean = -0.03, SD = 0.07; p < 0.001) and the HH group (mean = -0.02, SD = 0.05; p = 0.01). The difference between groups was also statistically significant (p = 0.02). Blood pressure at baseline and throughout the study was well controlled. Although there was no significant difference between systolic and diastolic blood pressures between groups (p = 0.5 for both), there was within both the CHIP group (systolic = -11.7 [SD = 18.1]; p = 0.001; diastolic = -6.4 [SD = 11.7]; p = 0.007) and the HH heart group (systolic = -14.1 [SD = 18.5]; p < 0.001; diastolic = -3.3 [SD = 12.8]; p = 0.04). Similarly, no significant difference was observed in the 6-minute walk test between groups (p = 0.9), but there was a difference within the CHIP group (mean = 51.5 min, SD = 50.1; p < 0.001) and HH group (mean = 43.1 min, SD = 72.7; p < 0.001).

An improvement in triglyceride levels was observed within the HH group (mean = -14.07, SD = 28.23; p = 0.01). However, there was no significant change in the CHIP group (p = 0.7) or between groups (p ≥ 0.99). Regarding the HbA1c, the CHIP group showed improvement (mean = -0.14, SD = 1.27; p = 0.01), but there was no significant change in the HH group (p = 0.09) or between groups (p = 0.08). As for the rest of the blood markers, there were no significant differences within or between groups for levels of total cholesterol, HDL cholesterol, LDL cholesterol, lipoprotein a, or C-reactive proteins as shown in Table 2.

The CIMT was measured using the right and left sides, the near and far walls, and the anterior, lateral, and posterior positions. The average of these 12 measurements, called average CIMT, and the average of the maximum of the 12 measures, called average maximum CIMT, were then calculated. Both the average CIMT and average maximum CIMT increased over 9 months, but the changes between groups were insignificant (p = 0.45 and p = 0.15, respectively). For the average CIMT, the changes within the CHIP group (0.02, SD = 0.12; p = 0.2) and HH group (0.03, SD = 0.12; p = 0.07) were insignificant. However, with respect to the average maximum CIMT, the changes within the CHIP group (0.30, SD = 0.50; p < 0.001) and within the HH group (0.32, SD = 0.90; p = 0.003) were significant (Figure 2). These differences seen within patients were not statistically significant compared between groups (p = 0.85).

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DISCUSSION

Some clinical trials have demonstrated coronary plaque regression after an intensive lifestyle program in patients with established CAD. However, these studies are limited in that they did not definitely prove the superiority of one lifestyle program vs another because they either used a usual care control group or had no control group. They also used a more invasive or expensive method to evaluate their outcomes, such as coronary angiography.48,49 We aimed to do a comparative analysis of 2 lifestyle programs and use CIMT as a more feasible evaluation method. Other studies that have used CIMT in the past have fallen into 2 categories: Those that used mean CIMT and those that used maximal CIMT.44 This study used 12 measurements to look at both mean and maximal CIMT in the same population. Furthermore, various interesting secondary outcomes such as inflammatory markers and other serologic findings were examined, and all patients were part of an integrated health system where they received robust, optimal health care. They were well matched and represented the “real world” as a result of their socioeconomic and demographic characteristics.

This study demonstrated that neither CHIP nor HH effectively reversed plaque burden in the short term when used as a tertiary preventive measure in CAD. There was an increase in the average maximum CIMT within groups without a significant difference between the CHIP and HH groups. However, it is still possible that these programs could have slowed the progression of atherosclerotic disease, especially given that these patients were followed up only over 9 months. Most studies that showed the beneficial effects of lipid-lowering therapy, antihypertensive agents, and other medications on CIMT usually had a follow-up of 18 months or greater, sometimes as long as 4 years.50-59 It is thus possible that there may have been a significant reduction in CIMT that would have been appreciated if there was a longer follow-up period. Although more intensive lifestyle regimens have demonstrated plaque regression,48,49 this is likely owing to a combination of both longer follow-up times and the use of a control group as a comparator arm.

The current study showed significant differences in some of the secondary endpoints within groups. The CHIP group showed improvement in the QoL score, BMI, waist-hip ratio, and HbA1c. The BMI and waist-hip ratio were the only secondary endpoints that were significantly different even between groups. The HH group showed an improvement in triglyceride levels. Additionally, both groups had lower systolic and diastolic blood pressures as well as improvements in the PHQ-9 score and 6-minute walk test. This confirms that intensive lifestyle programs can positively affect multiple cardiac risk factors. Although this is clear and established, it also shows that the nonsequential offering of healthy lifestyle programs (HH) can lead to similar outcomes as a formal, sequential, established program (CHIP) in many aspects. This has important implications as to how lifestyle changes will be implemented as tertiary prevention measures in the future.

This study has some limitations. Although both CHIP and HH advocated for particular dietary patterns and although dietary questionnaires were used before and after, they are not the best forms of evidence for the effects of a particular dietary pattern. The first reason is that both programs encouraged broad lifestyle changes (exercise, stress relief, and diet), making it inappropriate to pinpoint diet alone as the cause of the outcome. The second reason is that complete dietary adherence is difficult to ascertain in the community setting and dietary questionnaires are subject to several biases. Thus, this study is better defined as one testing the outcomes of participation in a program rather than the outcomes of following a particular diet. The short duration of the study was cited earlier as a limitation as well. Furthermore, CIMT remains a controversial marker for cardiovascular disease and thus limits interpretation of these results.

CONCLUSION

Neither the CHIP nor HH was effective in inducing plaque regression in patients with established CAD after a 9-month period. However, both were effective in improving several CAD risk factors and could thus potentially reduce CAD, especially in conjunction with an exercise program. Further studies with longer follow-up and larger sample sizes can examine whether the risk factor improvement may lead to plaque regression.

Disclosure Statement

The author(s) have no conflicts of interest to disclose.

Acknowledgments

This research was supported by the Regional Research Committee, Southern California Permanente Medical Group, Pasadena, CA (grant cost center no. 0801-81357-9940 CS113313). This work was presented in part at the American College of Cardiology 66th Annual Scientific Session in Washington, DC, in March 2017.

Kathleen Louden, ELS, of Louden Health Communications performed a primary copy edit.

How to Cite this Article

Elkoustaf RA, Aldaas OM, Batiste CD, et al. Lifestyle interventions and carotid plaque burden: A comparative analysis of two lifestyle intervention programs in patients with coronary artery disease. Perm J 2019;23:18.196. DOI: https://doi.org/10.781​/TPP/18.196

Author Affiliations

1 Department of Cardiology, Riverside Medical Center, CA

2 Department of Medicine, University of California, San Diego

3 Department of Family Medicine, Riverside Medical Center, CA

4 Department of Urology, Riverside Medical Center, CA

5 Department of Preventive Medicine, Riverside Medical Center, CA

6 Department of Radiology, Riverside Medical Center, CA

Corresponding Author

Rachid Elkoustaf, MD, MPH (rachid.a.elkoustaf@kp.org)

References
1. Rosamond W, Flegal K, Furie K, et al. Heart disease and stroke statistics—2008 update: A report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation 2008 Jan 29;117(4):e25-146. DOI: https://doi.org/10.1161​/CIRCULATIONAHA.107.187998.
 2. Lloyd-Jones D, Adams RJ, Brown TM, et al. Heart disease and stroke statistics—2010 update: A report from the American Heart Association. Circulation 2010 Jan 27;121(3):948-54. DOI: https://doi.org/10​.1161/CIRCULATIONAHA.108.191261.
 3. Nichols M, Townsend N, Scarborough P, Rayner M. Cardiovascular disease in Europe 2014: Epidemiological update. Eur Heart J 2014 Nov 7;35(42):2950-9. DOI: https://doi.org/10.1093​/eurheartj/ehu299.
 4. Ford ES, Ajani UA, Croft JB, et al. Explaining the decrease in US deaths from coronary disease, 1980-2000. N Engl J Med 2007 Jun 7;356(23):2388-98. DOI: https://doi.org/10.1056/NEJMsa053935.
 5. Scrutinio D. The potential of lifestyle changes for improving the clinical outcome of patients with coronary heart disease: Mechanisms of benefit and clinical results. Rev Recent Clin Trials 2010 Jan;5(1):1-13. DOI: https://doi.org/10.2174​/157488710790820508.
 6. Iestra JA, Kromhout D, van der Schouw YT, Grobbee DE, Boshuizen HC, van Staveren WA. Effect size estimates of lifestyle and dietary changes on all-cause mortality in coronary artery disease patients: A systematic review. Circulation 2005 Aug 9;112(6):924-34. DOI: https://doi.org/10.1161​/CIRCULATIONAHA.104.503995.
 7. Esselstyn CB Jr. Resolving the coronary artery disease epidemic through plant-based nutrition. Prev Cardiol 2001 Autumn;4(4):171-7. DOI: https://doi.org​/10.1111/j.1520-037X.2001.00538.x.
 8. Berkow SE, Barnard N. Vegetarian diets and weight status. Nutr Rev 2006 Apr;64(4):175-88.
 9. Tuso PJ, Ismail MH, Ha BP, Bartolotto C. Nutritional update for physicians: Plant-based diets. Perm J 2013 Spring;17(2):61-6. DOI: https://doi.org/10.7812​/TPP/12-085.
 10. Willcox B, Willcox D, Todoriki H, et al. Caloric restriction, the traditional Okinawan diet, and healthy aging: The diet of the world’s longest-lived people and its potential impact on morbidity and life span. Ann N Y Acad Sci 2007 Oct;1114:434-55. DOI: https://doi.org/10.1196/annals.1396.037.
 11. Sinnett PF, Whyte HM. Epidemiological studies in a total highland population, Tukisenta, New Guinea: Cardiovascular disease and relevant clinical, electrocardiographic, radiological and biochemical findings. J Chron Dis 1973 May;26(5):265-90.
 12. Campbell TC, Parpia B, Chen J. Diet, lifestyle, and the etiology of coronary artery disease: The Cornell China study. Am J Cardiol 1998 Nov;82(10B):18-21. DOI: https://doi.org/10.1016/S0002-9149(98)00718-8.
 13. Miller K, Rubenstein A, Astrand PO. Lipid values in Kalahari bushmen. Arch Intern Med 1968 May;121(5):414-7. DOI: https://doi.org/10.1001​/archinte.1968.03640050024005.
 14. Connor WE, Cerqueira MT, Connor RW, Wallace RB, Malinow MR, Casdorph HR. The plasma lipids, lipoproteins, and diet of the Tarahumara Indians of Mexico. Am J Clin Nutr 1978 Jul;31(7):1131-42. DOI: https://doi.org/10.1093/ajcn/31.7.1131.
 15. Crowe FL, Appleby PN, Travis RC, Key TJ. Risk of hospitalization or death from ischemic heart disease among British vegetarians and nonvegetarians: Results from the EPIC-Oxford Cohort Study. Am J Clin Nutr 2013 Mar;97(3):597-603. DOI: https://doi​.org/10.3945/ajcn.112.044073.
 16. Tonstad S, Butler T, Yan R, Fraser GE. Type of vegetarian diet, body weight, and prevalence of type 2 diabetes. Diabetes Care 2009 May;32(5):791-6. DOI: https://doi.org/10.2337/dc08-1886.
 17. Rizzo NS, Sabaté J, Jaceldo-Siegl K, Fraser GE. Vegetarian dietary patterns are associated with a lower risk of metabolic syndrome: The Adventist Health Study 2. Diabetes Care 2011 May;34(5):1225-7. DOI: https://doi.org/10.2337/dc10-1221.
 18. Yokoyama Y, Nishimura K, Barnard ND, et al.
Vegetarian diets and blood pressure: A meta-analysis. JAMA Intern Med 2014 Apr;174(4):577-87. DOI: https://doi.org/10.1001/jamainternmed.2013​.14547.
 19. Barnard ND, Levin SM, Yokoyama Y. A systematic review and meta-analysis of changes in body weight in clinical trials of vegetarian diets. J Acad Nutr Diet 2015 Jun;115(6):954-69. DOI: https://doi.org/10.1016​/j.jand.2014.11.016.
 20. Dietary guidelines for Americans 2015-2020 [Internet]. Rockville, MD: Office of Disease Prevention and Health Promotion; 2015 [cited 2017 May 24]. Available from: https://health.gov​/dietaryguidelines/2015/guidelines.
 21. Ornish D, Scherwitz LW, Billings JH, et al. Intensive lifestyle changes for reversal of coronary heart disease. JAMA 1998 Dec 16;280(23):2001-7. DOI: https://doi.org/10.1001/jama.280.23.2001.
 22. Esselstyn CB Jr, Ellis SG, Medendorp SV, Crowe TD. A strategy to arrest and reverse coronary artery disease: A 5-year longitudinal study of a single physician’s practice. J Fam Pract 1995 Dec;41(6):560-8.
 23. Barnard RJ, Guzy PM, Rosenberg JM, Trexler O’Brien L. Effects of an intensive exercise and nutrition program on patients with coronary artery disease: Five-year follow up. J Cardiac Rehabil 1983 Mar;3(3):183-90.
 24. Estruch R, Ros E, Salas-Salvadó J, et al; PREDIMED Study Investigators. Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med 2018 Jun 21;378(25):e34. DOI: 10.1056/NEJMoa1800389.
 25. Rosamond WD, Chambless LE, Folsom AR, et al.
Trends in the incidence of myocardial infarction and in mortality due to coronary heart disease, 1987 to 1994. N Engl J Med 1998 Sep 24;339(13):861-7. DOI: https://doi.org/10.1056​/NEJM199809243391301.
 26. Furman MI, Dauerman HL, Goldberg RJ, Yarzebski J, Lessard D, Gore JM. Twenty-two year (1975 to 1997) trends in the incidence, in-hospital and long-term case fatality rates from initial Q-wave and non-Q-wave myocardial infarction: A multi-hospital, community-wide perspective. J Am Coll Cardiol 2001 May;37(6):1571-80. DOI: https://doi.org/10.1016​/S0735-1097(01)01203-7.
 27. Rogers WJ, Canto JG, Lambrew CT, et al. Temporal trends in the treatment of over 1.5 million patients with myocardial infarction in the US from 1990 through 1999: The National Registry of Myocardial Infarction 1, 2 and 3. J Am Coll Cardiol 2000 Dec;36(7):2056-63. DOI: https://doi.org/10.1016​/S0735-1097(00)00996-7.
 28. Heidenreich PA, McClellan M. Trends in treatment and outcomes for acute myocardial infarction: 1975-1995. Am J Med 2001 Feb 15;110(10):165-74. DOI: https://doi.org/10.1016/S0002-9343(00)00712-9.
 29. Fang J, Alderman MH. Dissociation of hospitalization and mortality trends for myocardial infarction in the United States from 1988 to 1997. Am J Med 2002 Aug 15;113(3):208-14. DOI: https://doi.org/10.1016​/S0002-9343(02)01172-5.
 30. Velagaleti RS, Pencina MJ, Murabito JM, et al. Long-term trends in the incidence of heart failure after myocardial infarction. Circulation 2008 Nov 11;118(20):2057-62. DOI: https://doi.org/10.1161​/CIRCULATIONAHA.108.784215.
 31. Rogers WJ, Frederick PD, Stoehr E, et al. Trends in presenting characteristics and hospital mortality among patients with ST elevation and non-ST elevation myocardial infarction in the National Registry of Myocardial Infarction from 1990 to 2006. Am Heart J 2008 Dec;156(6):1026-34. DOI: https://​doi.org/10.1016/j.ahj.2008.07.030.
 32. Gibson CM, Pride YB, Frederick PD, et al. Trends in reperfusion strategies, door-to-needle and door-to-balloon times, and in-hospital mortality among patients with ST-segment elevation myocardial infarction enrolled in the National Registry of Myocardial Infarction from 1990 to 2006. Am Heart J 2008 Dec;156(6):1035-44. DOI: https://doi.org/10​.1016/j.ahj.2008.07.029.
 33. Krumholz HM, Wang Y, Chen J, et al. Reduction in acute myocardial infarction mortality in the United States: Risk-standardized mortality rates from 1995-2006. JAMA 2009 Aug 19;302(7):767-73. DOI: https://doi.org/10.1001/jama.2009.1178.
 34. Law MR, Watt HC, Wald NJ. The underlying risk of death after myocardial infarction in the absence of treatment. Arch Intern Med 2002 Nov 25;162(21):2405-10. DOI: https://doi.org/10.1001​/archinte.162.21.2405.
 35. Bata IR, Gregor RD, Wolf HK, Brownell B. Trends in five-year survival of patients discharged after acute myocardial infarction. Can J Cardiol 2006 Apr;22(5):399-404. DOI: https://doi.org/10.1016​/S0828-282X(06)70925-4.
 36. Aldana SG, Greenlaw RL, Salberg A, et al. The behavioral and clinical effects of therapeutic lifestyle change on middle aged adults. Prev Chronic Dis 2006 Jan;3(1):A05.
 37. Shurney D, Hyde S, Hulsey K, Elam R, Cooper A, Groves J. CHIP lifestyle program at Vanderbilt University demonstrates an early ROI for a diabetic cohort in a workplace setting: A case study. J Manage Care Med 2012 Jan;15(4):5-15.
 38. Merrill RM, Massey MT, Aldana SG, Greenlaw RL, Diehl HA, Salberg A. C-reactive protein levels according to physical activity and body weight for participants in the Coronary Health Improvement Project (CHIP). Prevent Med 2008 May;46(5):425-30. DOI: https://doi.org/10.1016/j.ypmed.2007.12.002.
 39. Aldana SG, Greenlaw RL, Diehl HA, et al. Effects of an intensive diet and physical activity modification program on the health risks of adults. J Am Diet Assoc 2005 Mar;105(3):371-81. DOI: https://doi.org​/10.1016/j.jada.2004.12.007.
 40. O’Leary LH, Polak JF, Kronmal RA, Manolio TA, Burke GL, Wolfson SK Jr; Cardiovascular Health Study Collaborative Research Group. Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. N Engl J Med 1999 Jan 7;340(1):14-22. DOI: https://doi.org/10.1056/NEJM199901073400103.
 41. Burke GL, Evans GW, Riley WA, et al. Arterial wall thickness is associated with prevalent cardiovascular disease in middle-aged adults: The Atherosclerosis Risk in Communities (ARIC) Study. Stroke 1995 Mar;26(3):386-91.
 42. Azen SP, Mack WJ, Cashin-Hemphill L, et al. Progression of coronary artery disease predicts clinical coronary events: Long-term follow-up from the Cholesterol Lowering Atherosclerosis Study. Circulation 1996 Jan 1;93(1):34-41.
 43. Den Ruijter HM, Peters SA, Anderson TJ, et al.
Common carotid intima-media thickness measurements in cardiovascular risk prediction: A meta-analysis. JAMA 2012 Aug 22;308(8):796-803. DOI: https://doi.org/10.1001/jama.2012.9630.
 44. Lorenz MW, Polak JF, Kavousi M, et al; PROG-IMT Study Group. Carotid intima-media thickness progression to predict cardiovascular events in the general population (the PROG-IMT collaborative project): A meta-analysis of individual participant data. Lancet 2012 Jun 2;379(9831):2053-62. DOI: https://doi.org/10.1016/S0140-6736(12)60441-3.
 45. Nambi V, Chambless L, Folsom AR, et al. Carotid intima-media thickness and presence or absence of plaque improves prediction of coronary heart disease risk: The ARIC (Atherosclerosis Risk In Communities) study. J Am Coll Cardiol 2010 Apr 13;55(15):1600-7. DOI: https://doi.org/10.1016/j.jacc.2009.11.075.
 46. Polak JF, Pencina MJ, Pencina KM, O’Donnell CJ, Wolf PA, D’Agostino RB Sr. Carotid-wall intima-media thickness and cardiovascular events. N Engl J Med 2011 Jul 21;365(3):213-21. DOI: https://doi.org/10​.1056/NEJMoa1012592.
 47. Baldassarre D, Hamsten A, Veglia F, et al; IMPROVE Study Group. Measurements of carotid intima-media thickness and of interadventitia common carotid diameter improve prediction of cardiovascular events: Results of the IMPROVE (Carotid Intima Media Thickness [IMT] and IMT-Progression as Predictors of Vascular Events in a High Risk European Population) study. J Am Coll Cardiol 2012 Oct 16;60(16):1489-99. DOI: https://doi.org/10.1016/j.jacc​.2012.06.034.
 48. Ornish D, Brown SE, Scherwitz LW, et al. Can lifestyle changes reverse coronary heart disease? The Lifestyle Heart Trial. Lancet 1990 Jul 21;336(8708):129-33. DOI: https://doi.org/10.1016​/0140-6736(90)91656-U.
 49. Ornish D, Scherwitz LW, Billings JH, et al. Intensive lifestyle changes for reversal of coronary heart disease. JAMA 1998 Dec 16;280(23):2001-7. DOI: https://doi.org/10.1001/jama.280.23.2001.
 50. Crouse JR 3rd, Byington RP, Bond MG, et al. Pravastatin, Lipids, and Atherosclerosis in the Carotid Arteries (PLAC-II). Am J Cardiol 1995 Mar 1;75(7):455-9. DOI: https://doi.org/10.1016/0197​-2456(92)90206-F.
 51. Hodis HN, Mack WJ, LaBree L, et al. Reduction in carotid arterial wall thickness using lovastatin and dietary therapy: A randomized controlled clinical trial. Ann Intern Med 1996 Mar 15;124(6):548-56. DOI: https://doi.org/10.7326/0003-4819-124-6-199603150​-00002.
 52. MacMahon S, Sharpe N, Gamble G, et al; LIPID Trial Research Group. Effects of lowering average of below-average cholesterol levels on the progression of carotid atherosclerosis: Results of the LIPID Atherosclerosis Substudy. Circulation 1998 May 12;97(18):1784-90. Erratum in: 1998 Jun 23;97(24):2479.
 53. de Groot E, Jukema JW, Montauban van Swijndregt AD, et al. B-mode ultrasound assessment of pravastatin treatment effect on carotid and femoral artery walls and its correlations with coronary arteriographic findings: A report of the Regression Growth Evaluation Statin Study (REGRESS). J Am Coll Cardiol 1998 Jun;31(7):1561-7. DOI: https://doi​.org/10.1016/S0735-1097(98)00170-3.
 54. Smilde TJ, van Wissen S, Wollersheim H, Trip MD, Kastelein JJ, Stalenhoef AF. Effect of aggressive versus conventional lipid lowering on atherosclerosis progression in familial hypercholesterolaemia (ASAP): A prospective, randomised, double-blind trial. Lancet 2001 Feb 24;357(9256):577-81. DOI: https://doi.org/10.1016/S0140-6736(00)04053-8.
 55. Taylor AJ, Lee HJ, Sullenberger LE. The effect of 24 months of combination statin and extended-release niacin on carotid intima-media thickness: ARBITER 3. Curr Med Res Opin 2006 Nov;22(11):2243-50. DOI: https://doi.org/10.1185/030079906X148508.
 56. Blankenhorn DH, Selzer RH, Crawford DW, et al. Beneficial effects of colestipol-niacin therapy on the common carotid artery: Two- and four-year reduction of intima-media thickness measured by ultrasound. Circulation 1993 Jul;88(1):20-8.
 57. Hedblad B, Wikstrand J, Janzon L, Wedel H, Berglund G. Low-dose metoprolol CR/XL and fluvastatin slow progression of carotid intima-media thickness: Main results from the Beta-Blocker Cholesterol-Lowering Asymptomatic Plaque Study (BCAPS). Circulation 2001 Apr 3;103(13):1721-6.
 58. Hodis HN, Mack WJ, Dustin L, et al; BVAIT Research Group. High-dose B vitamin supplementation and progression of subclinical atherosclerosis: A randomized controlled trial. Stroke 2009 Mar;40(3):730-6. DOI: https://doi.org/10.1161​/STROKEAHA.108.526798.
 59. Mazzone T, Meyer PM, Feinstein SB, et al. Effect of pioglitazone compared with glimepiride on carotid intima-media thickness in type 2 diabetes: A randomized trial. JAMA 2006 Dec 6;296(21):2572-81. DOI: https://doi.org/10.1001/jama.296.21.joc60158.

Keywords: carotid intima-media thickness, coronary artery disease, dietary patterns, lifestyle improvement programs, lifestyle intervention, plant-based diet to reduce CAD

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