Cardiovascular risk according to the SCORE, SCORE2, and SCORE2-RF scales in the nationwide study ESSE-RF of 2012-2022 and its dependence on regional living conditions
https://doi.org/10.20996/1819-6446-2026-3295
EDN: TZDWKW
Abstract
Aim. To conduct a comparative analysis of individual cardiovascular risk (CVR) assessment using three versions of the SCORE scale and to evaluate the associations of risk with regional living conditions.
Material and methods. Individual data from the cross-sectional phase of the ESSE-RF study in 2012-2014, 2017-2018, and 2020-2022 were used for the analysis. The analytical sample included 15,298 women and 10,861 men aged 40-64 years without a history of stroke, coronary heart disease, myocardial infarction, or diabetes, and without missing data. Individual CVR was assessed using the SCORE, SCORE2, and SCORE2-RF scales. The annual Economic, Demographic, Industrial, and Social Indexes of the National Medical Research Center for Therapy and Preventive Medicine were used as regional characteristics. Linear regression was used for quantitative outcomes, and logistic regression for binary outcomes. Logistic regression associations are expressed as odds ratios (ORs) and 95% confidence intervals.
Results. According to the SCORE scale, the proportion of individuals with high/very high cardiovascular risk (CVR) is 2.2% among women and 28.8% among men; according to SCORE2, the proportions are 25.7% and 54.7%; and according to SCORE2-RF, the proportions are 6.8% and 12.9%, respectively. Improvements in demographics (only for women) and social conditions in a region are associated with a reduced likelihood of high/very high CVR. Thus, an increase in the quintile of the Demographic Index is associated in women with a decrease in the likelihood of high/very high CVR: according to SCORE OR=0.81 (0.73-0.90), according to SCORE2 OR=0.94 (0.90-0.97), according to SCORE2-RF OR=0.88 (0.83-0.94). An increase in the quintile of the Social Index in women is associated with a decrease in the likelihood of high / very high CVR: according to SCORE OR=0.85 (0.77-0.94), according to SCORE2 OR=0.95 (0.92-0.99), according to SCORE2-RF OR=0.93 (0.88-0.98). In men, an increasing Social Index quintile is associated with a decreased likelihood of high/very high cardiovascular risk: according to SCORE, OR =0.91 (0.87-0.96), according to SCORE2-RF, OR=0.92 (0.87-0.96).
Conclusion. The study results suggest that the calibrated version of the SCORE2-RF scale is the most acceptable for practical use in preventive cardiology. Regional demographic and social conditions are associated with the profile of cardiovascular risk factors and can potentially be considered as population health factors. For Russia, a geographically diverse country, taking into account regional characteristics of the population allows for differentiation of prevention, as well as its focus and assessment of effectiveness.
Keywords
About the Authors
S. A. MaksimovRussian Federation
Sergey A. Maksimov
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
S. A. Shalnova
Russian Federation
Svetlana A. Shalnova
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
V. A. Kutsenko
Russian Federation
Vladimir A. Kutsenko
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
M. B. Kotova
Russian Federation
Marina B. Kotova
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
G. A. Muromtseva
Russian Federation
Galina A. Muromtseva
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
A. V. Kapustina
Russian Federation
Anna V. Kapustina
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
Yu. A. Balanova
Russian Federation
Yulia A. Balanova
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
A. E. Imaeva
Russian Federation
Asiia E. Imaeva
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
S. E. Evstifeeva
Russian Federation
Svetlana E. Evstifeeva
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
N. S. Karamnova
Russian Federation
Natalia S. Karamnova
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
O. B. Shvabskaya
Russian Federation
Olga B. Shvabskaia
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
T. V. Repkina
Russian Federation
Tatyana V. Repkina
Polzunov str., 23, Barnaul, 656056
T. O. Gonoshilova
Russian Federation
Tatyana O. Gonoshilova
Polzunov str., 23, Barnaul, 656056
A. V. Kudryavtsev
Russian Federation
Alexander V. Kudryavtsev
Troitskiy avenue, 51, Arkhangelsk, 163000
N. I. Belova
Russian Federation
Natalia I. Belova
Troitskiy avenue, 51, Arkhangelsk, 163000
L. L. Shagrov
Russian Federation
Leonid L. Shagrov
Troitskiy avenue, 51, Arkhangelsk, 163000
M. A. Samotrueva
Russian Federation
Marina A. Samotrueva
Bakinskaya str., bld. 121, Astrakhan, 414000
A. L. Yasenyavskaya
Russian Federation
Anna L. Yasenyavskaya
Bakinskaya str., bld. 121, Astrakhan, 414000
O. A. Bashkina
Russian Federation
Olga A. Bashkina
Bakinskaya str., bld. 121, Astrakhan, 414000
S. V. Glukhovskaya
Russian Federation
Svetlana V. Glukhovskaya
Repina str., 2a, Yekaterinburg, 620014
I. A. Levina
Russian Federation
Irina A. Levina
Repina str., 2a, Yekaterinburg, 620014
E. A. Shirshova
Russian Federation
Ekaterina A. Shirshova
Repina str., 2a, Yekaterinburg, 620014
E. B. Dorzhieva
Russian Federation
Etta B. Dorzhieva
Tsivileva str., 2, Ulan-Ude, 670034
E. Z. Urbanova
Russian Federation
Ekaterina Z. Urbanova
Tsivileva str., 2, Ulan-Ude, 670034
N. Yu. Borovkova
Russian Federation
Natalia Yu. Borovkova
Minina i Pozharskogo sq., 10/1, Nizhny Novgorod, 603005
V. K. Kurashin
Russian Federation
Vladimir K. Kurashin
Minina i Pozharskogo sq., 10/1, Nizhny Novgorod, 603005
A. S. Tokareva
Russian Federation
Anastasia S. Tokareva
Minina i Pozharskogo sq., 10/1, Nizhny Novgorod, 603005
Yu. I. Ragino
Russian Federation
Yulia I. Ragino
Borisa Bogatkova str. 175/1, Novosibirsk, 630089
G. I. Simonova
Russian Federation
Galina I. Simonova
Borisa Bogatkova str. 175/1, Novosibirsk, 630089
A. D. Khudyakova
Russian Federation
Alyona D. Khudyakova
Borisa Bogatkova str. 175/1, Novosibirsk, 630089
V. N. Nikulin
Russian Federation
Vadim N. Nikulin
Altayskaya str., 12a, Orenburg, 460040
O. R. Aslyamov
Russian Federation
Oleg R. Aslyamov
Altayskaya str., 12a, Orenburg, 460040
G. V. Khokhlova
Russian Federation
Galina V. Khokhlova
Altayskaya str., 12a, Orenburg, 460040
A. V. Solovyeva
Russian Federation
Alla V. Solovyeva
Sovetskaya str., 4, Tver, 170100
A. A. Rodionov
Russian Federation
Andrey A. Rodionov
Sovetskaya str., 4, Tver, 170100
O. V. Kryachkova
Russian Federation
Olga V. Kryachkova
Sovetskaya str., 4, Tver, 170100
J. Yu. Shamurova
Russian Federation
Julia Yu. Shamurova
Vorovskogo str., 64, Chelyabinsk, 454141
E. V. Mikhailov
Russian Federation
Evgeny V. Mikhailov
Vorovskogo str., 64, Chelyabinsk, 454141
I. O. Tarabrina
Russian Federation
Iuliia O. Tarabrina
Vorovskogo str., 64, Chelyabinsk, 454141
M. G. Ataev
Russian Federation
Magomedrasul G. Ataev
Lenin str., 1, Makhachkala, 367000
M. O. Radzhabov
Russian Federation
Magomed O. Radzhabov
M. Gadzhieva str., 45, Makhachkala, 367000
M. M. Isakhanova
Russian Federation
Madina M. Isakhanova
Lenin str., 1, Makhachkala, 367000
M. A. Umetov
Russian Federation
Murat A. Umetov
Chernyshevskogo str., 173, Nalchik, 360004
I. A. Khakuasheva
Russian Federation
Inara A. Khakuasheva
Chernyshevskogo str., 173, Nalchik, 360004
L. V. Elgarova
Russian Federation
Lilya V. Elgarova
Chernyshevskogo str., 173, Nalchik, 360004
E. I. Yamashkina
Russian Federation
Ekaterina I. Yamashkina
Bolshevistskaya str., 68, Saransk, 430005
L. A. Balykova
Russian Federation
Larisa A. Balykova
Bolshevistskaya str., 68, Saransk, 430005
A. A. Usanova
Russian Federation
Anna A. Usanova
Bolshevistskaya str., 68, Saransk, 430005
A. M. Nikitina
Russian Federation
Alyona M. Nikitina
Bestuzheva-Marlinskogo str., 1, Yakutsk, 677000
N. V. Savvina
Russian Federation
Nadezhda V. Savvina
Belinsky str., 58, Yakutsk, 677000
Yu. E. Spiridonova
Russian Federation
Yulia E. Spiridonova
Belinsky str., 58, Yakutsk, 677000
E. A. Naumova
Russian Federation
Elena A. Naumova
Lenin Ave., 32A, Cheboksary, 428003
D. A. Kashtanova
Russian Federation
Daria A. Kashtanova
Pogodinskaya str., 10, bld. 1, Moscow, 119121
V. S. Yudin
Russian Federation
Vladimir S. Yudin
Pogodinskaya str., 10, bld. 1, Moscow, 119121
A. A. Keskinov
Russian Federation
Anton A. Keskinov
Pogodinskaya str., 10, bld. 1, Moscow, 119121
S. M. Yudin
Russian Federation
Sergey M. Yudin
Pogodinskaya str., 10, bld. 1, Moscow, 119121
A. V. Kontsevaya
Russian Federation
Anna V. Kontsevaya
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
O. M. Drapkina
Russian Federation
Oksana M. Drapkina
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
References
1. Suslin SA, Kiryakova OV, Bogatyreva GP, et al. Diseases of the circulatory system as a modern public health problem. Current problems of health care and medical statistics. 2024;(1):540-60. (In Russ.) DOI: 10.24412/2312-2935-2024-1-540-560.
2. Boytsov SA, Drapkina OM. Modern content and improvement of high cardiovascular risk strategy in reducing mortality from cardiovascular diseases. Terapevticheskii arkhiv. 2021;93(1):4-6. (In Russ.) DOI: 10.26442/00403660.2021.01.200543.
3. Shlyakhto EV, Zvartau NE, Villevalde SV, et al. Cardiovascular risk management system: prerequisites for developing, organization principles, target groups. Russian Journal of Cardiology. 2019;(11):69-82. (In Russ.) DOI: 10.15829/1560-4071-2019-11-69-82.
4. Kontsevaya AV, Mukaneeva DK, Ignatieva VI, et al. Economics of cardiovascular prevention in the Russian Federation. Russian Journal of Cardiology. 2023;28(9):5521 (In Russ.) DOI: 10.15829/1560-4071-2023-5521.
5. Hageman SHJ, Kaptoge S, de Vries TI, et al. Prediction of individual lifetime cardiovascular risk and potential treatment benefit: development and recalibration of the LIFE-CVD2 model to four European risk regions. Eur J Prev Cardiol. 2024;31(14):1690-9. DOI: 10.1093/eurjpc/zwae174. Erratum in: Eur J Prev Cardiol. 2024;31(15):1899. DOI: 10.1093/eurjpc/zwae274.
6. WHO CVD Risk Chart Working Group. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Glob Health. 2019;7(10):e1332-45. DOI: 10.1016/S2214-109X(19)30318-3. Erratum in: Lancet Glob Health. 2023;11(2):e196. DOI: 10.1016/S2214-109X(22)00522-8.
7. Hageman SHJ, Huang Z, Lee H, et al. Risk prediction of cardiovascular disease in the Asia-Pacific region: the SCORE2 Asia-Pacific model. Eur Heart J. 2025;46(8):702-715. DOI: 10.1093/eurheartj/ehae609.
8. Lopez-Lopez JP, Garcia-Pena AA, Martinez-Bello D, et al. External validation and comparison of six cardiovascular risk prediction models in the Prospective Urban Rural Epidemiology (PURE)-Colombia study. Eur J Prev Cardiol. 2025;32(7):564-72. DOI: 10.1093/eurjpc/zwae242.
9. Pennells L, Kaptoge S, Wood A, et al.; Emerging Risk Factors Collaboration. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies. Eur Heart J. 2019;40(7):621-31. DOI: 10.1093/eurheartj/ehy653.
10. Vinther JL, Jacobsen RK, Jørgensen T. Current European guidelines for management of cardiovascular disease: Is medical treatment in nearly half a population realistic? Eur J Prev Cardiol. 2018;25(2):157-63. DOI: 10.1177/2047487317738826.
11. Getz L, Sigurdsson JA, Hetlevik I, et al. Estimating the high risk group for cardiovascular disease in the Norwegian HUNT 2 population according to the 2003 European guidelines: modelling study. BMJ. 2005;331(7516):551. DOI: 10.1136/bmj.38555.648623.8F.
12. Csenteri O, Jancsó Z, Szöllösi GJ, et al. Differences of cardiovascular risk assessment in clinical practice using SCORE and SCORE2. Open Heart. 2022;9(2):e002087. DOI: 10.1136/openhrt-2022-002087.
13. Fontainhas M, Gavina C, Miranda J, et al. Cardiovascular risk profile with SCORE2 and SCORE2-OP: comparing Portugal, Spain, Italy, and France using the new European predictive models. Front Cardiovasc Med. 2024;11:1509240. DOI: 10.3389/fcvm.2024.1509240.
14. Zairova AR, Rogoza AN, Oshchepkova EV, et al. SCORE2 cardiovascular risk stratification of an urban adult population sample and evaluation of its effectiveness based on 5-year follow-up. Cardiovascular Therapy and Prevention. 2025;24(1):4184. DOI: 10.15829/1728-8800-2025-4184.
15. Erina AM, Usoltsev DA, Boyarinova MA, et al. Appointment of lipid-lowering therapy in the Russian population: comparison of SCORE and SCORE2 (according to the ESSE-RF study). Russian Journal of Cardiology. 2022;27(5):5006. (In Russ.) DOI: 10.15829/1560-4071-2022-5006.
16. Sergienko IV, Ezhov MV, Kurochkina NS, Kontsevaya AV. The need to review indications for lipid-lowering therapy based on the SCORE2 calculator in the Russian Federation. The Journal of Atherosclerosis and Dyslipidemias. 2025;58(1):13-23. (In Russ.) DOI: 10.34687/2219-8202.JAD.2025.01.0002.
17. Kurilovich EO, Nikitina AV, Sorokovikov IV. Economic analysis of implementing Systemic Coronary Risk Estimation (SCORE2) scale and long-term consequences. Farmakoekonomika. Modern Pharmacoeconomics and Pharmacoepidemiology. 2024;17(3):301-15. (In Russ.) DOI: 10.17749/2070-4909/farmakoekonomika.2024.264.
18. Tregubov AV, Tregubova AA, Alekseeva IV, et al. Comparison of the results of cardiovascular risk assessment using the SCORE and SCORE2 scales. The Journal of Atherosclerosis and Dyslipidemias. 2022;48(3):41-7. (In Russ.) DOI: 10.34687/2219-8202.JAD.2022.03.0005.
19. Jdanov DA, Deev AD, Jasilionis D, et al. Recalibration of the SCORE risk chart for the Russian population. Eur J Epidemiol. 2014;29(9):621-8. DOI: 10.1007/s10654-014-9947-7.
20. Shalnova SA. Comments on the section “Cardiovascular risk estimation” in the 2021 European Society of Cardiology guidelines on cardiovascular disease prevention in clinical practice. Cardiovascular Therapy and Prevention. 2022;21(1):3171. (In Russ.) DOI: 10.15829/1728-8800-2022-3171.
21. Svinin GE, Kutsenko VA, Shalnova SA, et al. Validation of SCORE2 on a sample from the Russian population and adaptation for the very high cardiovascular disease risk region. PLoS One. 2024;19(4):e0300974. DOI: 10.1371/journal.pone.0300974.
22. Drapkina OM, Balanova YuA, Shalnova SA, et al. From SCORE2 to SCORE2-RF: development of a Russian model for cardiovascular risk stratification. Rational Pharmacotherapy in Cardiology. 2025;21(6):502-12. (In Russ.) DOI: 10.20996/1819-6446-2025-3253.
23. Xia M, An J, Safford MM, et al. Cardiovascular risk associated with social determinants of health at individual and area levels. JAMA Netw Open. 2024;7(4):e248584. DOI: 10.1001/jamanetworkopen.2024.8584.
24. Pabayo R, Kawachi I, Gilman SE. US State-level income inequality and risks of heart attack and coronary risk behaviors: longitudinal findings. Int J Public Health. 2015;60(5):573-88. DOI: 10.1007/s00038-015-0678-7.
25. Maksimov S, Muromtseva G, Kutsenko V, et al. Major and minor ECG abnormalities depending on regional living conditions in Russia. Sc Rep. 2023;13(1):8934. DOI: 10.1038/s41598-023-35947-2.
26. Maksimov SA, Shalnova SA, Kutsenko VA, et al. Effect of regional living conditions on middle-term cardiovascular outcomes: data from prospective stage of the ESSE-RF study. Cardiovascular Therapy and Prevention. 2021;20(5):2965. (In Russ.) DOI: 10.15829/1728-8800-2021-2965.
27. Maksimov SA, Shalnova SA, Balanova YA, et al. What regional living conditions affect individual smoking of adults in Russia. Int J Public Health. 2021;66:599570. DOI: 10.3389/ijph.2021.599570.
28. Maksimov SA, Shalnova SA, Balanova YuA, et al. Prevalence, awareness, treatment and control of arterial hypertension depending on regional characteristics in Russia: results of the ESSE-RF study 2012-2022 — evidence of COVID-19 impact? Rational Pharmacotherapy in Cardiology. 2025;21(2):108-18. (In Russ.) DOI: 10.20996/1819-6446-2025-3178.
29. Nauchno-organizatsionnyĭ komitet proekta ÉSSE-RF. Epidemiology of cardiovascular diseases in different regions of Russia (ESSE-RF). The rationale for and design of the study. Russian Journal of Preventive Medicine. 2013;16(6):25-34. (In Russ.)
30. Drapkina OM, Shalnova SA, Imaeva AE, et al. Epidemiology of Cardiovascular Diseases in Regions of Russian Federation. Third survey (ESSE-RF-3). Rationale and study design. Cardiovascular Therapy and Prevention. 2022;21(5):3246. (In Russ.) DOI: 10.15829/1728-8800-2022-3246.
31. Conroy RM, Pyörälä K, Fitzgerald AP, et al.; SCORE project group. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003;24(11):987-1003. DOI: 10.1016/s0195-668x(03)00114-3.
32. SCORE2 working group and ESC Cardiovascular risk collaboration. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J. 2021;42(25):2439-454. DOI: 10.1093/eurheartj/ehab309.
33. Maksimov SA, Shalnova SA, Drapkina OM. Justification and development of regional indices determining the Russian Federation population health in 2005-2022. Russian Journal of Preventive Medicine. 2025;28(2):7-12. (In Russ.) DOI: 10.17116/profmed2025280217.
34. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991;50(2):179-211. DOI: 10.1016/0749-5978(91)90020-T.
35. Maksimov SA, Shalnova SA, Balanova YA, et al. Individual alcohol consumption depending on regional living conditions: results of a Russian nationwide study based on 2012-2022 data. J Res Health Sci. 2026;26(1):e00669. DOI: 10.34172/jrhs.11352.
36. Lu Y, Qin L. Healthy migrant and salmon bias hypotheses: a study of health and internal migration in China. Soc Sci Med. 2014;102:41-8. DOI: 10.1016/j.socscimed.2013.11.040.
37. Vaalavuo M, Sihvola MW. Are the sick left behind at the peripheries? Health selection in migration to Growing Urban Centres in Finland. Eur J Popul. 2020;37(2):341-66. DOI: 10.1007/s10680-020-09568-8.
Review
For citations:
Maksimov S.A., Shalnova S.A., Kutsenko V.A., Kotova M.B., Muromtseva G.A., Kapustina A.V., Balanova Yu.A., Imaeva A.E., Evstifeeva S.E., Karamnova N.S., Shvabskaya O.B., Repkina T.V., Gonoshilova T.O., Kudryavtsev A.V., Belova N.I., Shagrov L.L., Samotrueva M.A., Yasenyavskaya A.L., Bashkina O.A., Glukhovskaya S.V., Levina I.A., Shirshova E.A., Dorzhieva E.B., Urbanova E.Z., Borovkova N.Yu., Kurashin V.K., Tokareva A.S., Ragino Yu.I., Simonova G.I., Khudyakova A.D., Nikulin V.N., Aslyamov O.R., Khokhlova G.V., Solovyeva A.V., Rodionov A.A., Kryachkova O.V., Shamurova J.Yu., Mikhailov E.V., Tarabrina I.O., Ataev M.G., Radzhabov M.O., Isakhanova M.M., Umetov M.A., Khakuasheva I.A., Elgarova L.V., Yamashkina E.I., Balykova L.A., Usanova A.A., Nikitina A.M., Savvina N.V., Spiridonova Yu.E., Naumova E.A., Kashtanova D.A., Yudin V.S., Keskinov A.A., Yudin S.M., Kontsevaya A.V., Drapkina O.M. Cardiovascular risk according to the SCORE, SCORE2, and SCORE2-RF scales in the nationwide study ESSE-RF of 2012-2022 and its dependence on regional living conditions. Rational Pharmacotherapy in Cardiology. 2026;22(2):128-138. (In Russ.) https://doi.org/10.20996/1819-6446-2026-3295. EDN: TZDWKW
JATS XML






































.jpg)