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An exploration of potential approaches to improve the diagnosis of subclinical atherosclerosis in patients with high cardiovascular risk

https://doi.org/10.18087/cardio.n471

Abstract

Purpose. The search for optimal approaches to the diagnosis of subclinical atherosclerosis using a wide range of traditional and psychosocial risk factors (RFs), as well as clinical and instrumental diagnostic methods in patients (pts) with high or very high cardiovascular (CV) risk. Methods. This cross-sectional study enrolled52 pts, aged 40 to 65 years with high or very high CV risk (5-9 and ≥10% by the Systematic Coronary Risk Estimation Scale [SCORE], respectively). All participants underwent cardiac computed tomography (CT)angiography and calcium scoring. Traditional RFs (family history of premature CVD, smoking, overweight/obesity and abdominal obesity, hypertension, type 2 diabetes mellitus, lipids parameters (total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides) and lipids-related markers (apolipoprotein A1, apolipoprotein B, ApoB/ApoA1 ratio), biomarkers of inflammation (high-sensitivity C-reactive protein [hs CRP], fibrinogen), indicator carbohydrate metabolism (glucose), ankle-brachial index, stress-test, carotid plaques according to ultrasound, arterial stiffness were evaluated in all pts. Psychological RFs were evaluated using Hospital Anxiety and Depression Scale and DS-14 for type D personality. Results. All pts were divided into 2 groups according to the CT angiography results: pts in the main group (n=21) had any non-obstructive lesions or calcium score >0, pts in the control group (n=31) had intact coronary arteries. The groups did not differ in age or gender. It was found that patients with subclinical atherosclerosis significantly more often have a very high (≥10%) CV risk (42.9% vs.16.3%, p<0.05), a long (≥5 years) history of arterial hypertension (47.6% vs. 12.9% , p<0.01) and longer duration of antihypertensive therapy (61.9% vs. 29.0%, p<0.05), higher heart rate in rest (87. ± 14 vs. 77 ± 10 beats/min, p<0.01), increased arterial stiffness according to aortic pulse wave velocity (85.7% vs. 61.3%, p<0.05) and high level of hs-CRP (100% vs. 90.3%, p<0.05). Conclusion. Using in routine clinical practice of additional anamnestic (hypertension lasting ≥ 5 years and the intake of any antihypertensive drugs) and clinical-instrumental parameters (high heart rate in rest, hs CRP and arterial stiffness in pts with high and very high CV risk increases effectiveness of early detection of subclinical atherosclerosis.

About the Authors

N. V. Pogosova
FSBO National Medical research center of cardiology of the Ministry of healthcare of the Russian Federation
Russian Federation
3rd Cherepkovskaya 15a, Moscow 121552


Y. M. Yufereva
FSBO National Medical research center of cardiology of the Ministry of healthcare of the Russian Federation
Russian Federation
3rd Cherepkovskaya 15a, Moscow 121552


N. P. Kachanova
State Budgetary Institution City Polyclinic #180 of the Moscow City Health Department
Russian Federation
Uvarovsky lane, 4, Moscow 125222


V. A. Metelskaya
National Research Center for Preventive Medicine
Russian Federation
Petroverigsky Per. 10, bldg. 3, Moscow 101000


I. Y. Koltunov
Peoples’ Friendship University of Russia
Russian Federation
Miklukho-Maklaya str. 6, Moscow 117198


V. P. Voronina
National Research Center for Preventive Medicine
Russian Federation
Petroverigsky Per. 10, bldg. 3, Moscow 101000


A. P. Mazaev
State budgetary health care institution “Morozov Children’s City Clinical Hospital of the Moscow City Health Department“
Russian Federation
4th Dobryninsky bldg, 1/9, Moscow 119049


A. A. Arutyunov
FSBO National Medical research center of cardiology of the Ministry of healthcare of the Russian Federation
Russian Federation
3rd Cherepkovskaya 15a, Moscow 121552


V. A. Vygodin
National Research Center for Preventive Medicine
Russian Federation

Petroverigsky Per. 10, bldg. 3, Moscow 101000



References

1. Metelskaya V.A., Gavrilova N.E., Yarovaya E.A., Boytsov S.A. An integrative boimarker: opportunities for non-invasive diagnostics of coronary atherosclerosis. Russian Journal of Cardiology. 2017;22(6):132–8. DOI: 10.15829/1560-4071-2017-6-132-138

2. Erbel R, Delaney JAC, Lehmann N, McClelland RL, Mohlenkamp S, Kronmal RA et al. Signs of subclinical coronary atherosclerosis in relation to risk factor distribution in the Multi-Ethnic Study of Atherosclerosis (MESA) and the Heinz Nixdorf Recall Study (HNR). European Heart Journal. 2008;29(22):2782–91. DOI: 10.1093/eurheartj/ehn439

3. Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). European Heart Journal. 2016;37(29):2315–81. DOI: 10.1093/eurheartj/ehw106

4. Boytsov S.A., Pogosova N.V., Bubnova M.G., Drapkina O.M., Gavrilova N.E., Yeganyan R.A. et al. Cardiovascular prevention 2017. National guidelines. Russian Journal of Cardiology. 2018; 23(6):7–122. DOI: 10.15829/1560-4071-2018-6-7-122

5. Haberl R, Becker A, Leber A, Knez A, Becker C, Lang C et al. Correlation of coronary calcification and angiographically documented stenoses in patients with suspected coronary artery disease: results of 1,764 patients. Journal of the American College of Cardiology. 2001;37(2):451–7. PMID: 11216962

6. Van Werkhoven JM, Gaemperli O, Schuijf JD, Jukema JW, Kroft LJ, Leschka S et al. Multislice computed tomography coronary angiography for risk stratification in patients with an intermediate pretest likelihood. Heart. 2009;95(19):1607–11. DOI: 10.1136/hrt.2009.167353

7. Peters SAE, den Ruijter HM, Bots ML, Moons KGM. Improvements in risk stratification for the occurrence of cardiovascular disease by imaging subclinical atherosclerosis: a systematic review. Heart. 2012;98(3):177–84. DOI: 10.1136/heartjnl-2011-300747

8. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica. 1983;67(6):361–70. PMID: 6880820

9. Denollet J. DS14: Standard Assessment of Negative Affectivity, Social Inhibition, and Type D Personality. Psychosomatic Medicine. 2005;67(1):89–97. DOI: 10.1097/01.psy.0000149256.81953.49

10. Ware J.E., Snow К.К., Kosinski M.A., Gandek B. SF-36 Health Survey. Manual and interpretation guide. The Health Institute, New England Medical Center. Boston, Mass. 1993. [Av. at: https://www.researchgate.net/publication/247503121_SF36_Health_Survey_Manual_and_Interpretation_Guide/link/56a0e80b08ae21a5642d5ad3/download]

11. Ashley EA, Myers J, Froelicher V. Exercise testing in clinical medicine. The Lancet. 2000;356(9241):1592–7. DOI: 10.1016/S0140-6736(00)03138-X

12. Fowkes FG, Murray GD, Butcher I, Heald CL, Lee RJ, Chambless LE et al. Ankle Brachial Index Combined with Framingham Risk Score to Predict Cardiovascular Events and Mortality: A Meta-analysis. JAMA. 2008;300(2):197–208. DOI: 10.1001/jama.300.2.197

13. Hiatt WR. Medical Treatment of Peripheral Arterial Disease and Claudication. New England Journal of Medicine. 2001;344(21):1608–21. DOI: 10.1056/NEJM200105243442108

14. Janzen J. The microscopic transitional zone between elastic and muscular arteries. Archives Des Maladies Du Coeur Et Des Vaisseaux. 2004;97(9):909–14. PMID: 15521485

15. O’Leary DH, Polak JF, Kronmal RA, Manolio TA, Burke GL, Wolfson SK. Carotid-Artery Intima and Media Thickness as a Risk Factor for Myocardial Infarction and Stroke in Older Adults. New England Journal of Medicine. 1999;340(1):14–22. DOI: 10.1056/NEJM199901073400103

16. Van Bortel LM, Laurent S, Boutouyrie P, Chowienczyk P, Cruickshank JK, De Backer T et al. Expert consensus document on the measurement of aortic stiffness in daily practice using carotid-femoral pulse wave velocity. Journal of Hypertension. 2012;30(3):445–8. DOI: 10.1097/HJH.0b013e32834fa8b0

17. Silber S. Comparison of spiral and electron beam tomography in the evaluation of coronary calcification in asymptomatic persons. International Journal of Cardiology. 2002;82(3):297–8. DOI: 10.1016/S0167-5273(01)00627-1

18. Nolan T. The NHS heart age test will overload GPs who are already under huge pressure. BMJ. 2018;362:k3930. DOI: 10.1136/bmj.k3930

19. Britov A.N., Pozdnyakov Yu.M., Volkova E.G., Drapkina O.M., Eganyan R.A., Kislyak O.A. et al. National recommendations of cardiovascular prevention. Cardiovascular Therapy and Prevention. 2011;10(6 S2):2–64.

20. Elbasan Z, Şahin DY, Gür M, Kalkan GY, Yıldız A, Kaya Z et al. Aortic Distensibility and Aortic Intima-Media Thickness in Patients without Clinical Manifestation of Atherosclerotic Cardiovascular Disease. Echocardiography. 2013;30(4):407–13. DOI: 10.1111/echo.12066

21. Vlachopoulos C, Aznaouridis K, Stefanadis C. Prediction of Cardiovascular Events and All-Cause Mortality with Arterial Stiffness. Journal of the American College of Cardiology. 2010;55(13):1318–27. DOI: 10.1016/j.jacc.2009.10.061

22. Tzoulaki I, Siontis KC, Evangelou E, Ioannidis JPA. Bias in Associations of Emerging Biomarkers with Cardiovascular Disease. JAMA Internal Medicine. 2013;173(8):664–71. DOI: 10.1001/jamainternmed.2013.3018

23. Pleskovič A, Šantl Letonja M, Vujkovac AC, Nikolajević Starčević J, Gazdikova K, Caprnda M et al. C-reactive protein as a marker of progression of carotid atherosclerosis in subjects with type 2 diabetes mellitus. Vasa. 2017;46(3):187–92. DOI: 10.1024/0301-1526/a000614

24. Sharma A, Kasim M, Joshi PH, Qian Z, Krivitsky E, Akram K et al. Abnormal Lipoprotein(a) Levels Predict Coronary Artery Calcification in Southeast Asians but Not in Caucasians: Use of Noninvasive Imaging for Evaluation of an Emerging Risk Factor. Journal of Cardiovascular Translational Research. 2011;4(4):470–6. DOI: 10.1007/s12265-011-9273-3


Review

For citations:


Pogosova N.V., Yufereva Y.M., Kachanova N.P., Metelskaya V.A., Koltunov I.Y., Voronina V.P., Mazaev A.P., Arutyunov A.A., Vygodin V.A. An exploration of potential approaches to improve the diagnosis of subclinical atherosclerosis in patients with high cardiovascular risk. Kardiologiia. 2019;59(11S):53-62. (In Russ.) https://doi.org/10.18087/cardio.n471

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