Application of cardiovascular risk scales to identify carotid atherosclerosis in patients with rheumatoid arthritis
- 作者: Gerasimova E.1, Popkova T.1, Gerasimova D.2, Glukhova S.1, Nasonov E.1,2, Lila A.1,3
-
隶属关系:
- Nasonova Research Institute of Rheumatology
- Sechenov First Moscow State Medical University (Sechenov University)
- Russian Medical Academy of Continuous Professional Education
- 期: 卷 93, 编号 5 (2021)
- 页面: 561-567
- 栏目: Original articles
- URL: https://journals.rcsi.science/0040-3660/article/view/71508
- DOI: https://doi.org/10.26442/00403660.2021.05.200787
- ID: 71508
如何引用文章
全文:
详细
Aim. To evaluate the cardiovascular risk (CVR) and analyze its relationship with detection of early carotid artery atherosclerotic lesion in patients with rheumatoid arthritis (RA).
Materials and methods. One hundred and nine RA patients aged 45 to 60 without established cardiovascular diseases (CVD) were included in the study. The median age was 52 [48; 54] years, duration of RA was 120 [36; 204] months, DAS28 was 4.7 [3.5; 5.6] points. CVD risk was calculated with mSCORE, Reynolds Risk Score (RRS), ASSIGN, QRISK3, ERS-RA scales and Carotid Artery Doppler Ultrasound Exam was performed for all patients.
Results. High risk was found in 5, 5, 14, 6, and 38% of patients according to mSCORE, RRS, ASSIGN, QRISK3, ERS-RA scales, respectively. Atherosclerotic plaques of carotid arteries were found in 30% of patients. It was found that carotid intima-media thickness is correlated to all CVR calculators, age, systolic and diastolic blood pressure, cholesterol, erythrocyte sedimentation rate, interleukin-6 levels. The sensitivity and specificity of the CVR algorithms in prognostication of atherosclerotic carotid artery lesions were 73 and 67% for mSCORE, 64 and 63% for RRS, 64 and 56% for ASSIGN, 73 and 49% for QRISK3, respectively, p<0.05 in all cases, 67 and 50% for ERS-RA, p=0.06.
Conclusion. RRS, mSCORE, ASSIGN, QRISK3 calculators equally predict atherosclerotic carotid artery damage in RA patients. The optimal ratio of specificity and sensitivity is shown for the mSCORE scale. Stratification of CVR in RA patients should include assessment of the carotid intima-media thickness. To identify CVR in RA patients, the most informative methods are mSCORE calculation and carotid intima-media thickness determination.
作者简介
Elena Gerasimova
Nasonova Research Institute of Rheumatology
编辑信件的主要联系方式.
Email: gerasimovaev@list.ru
ORCID iD: 0000-0001-5815-561X
канд. мед. наук, ст. науч. сотр. лаб. системных ревматических заболеваний
俄罗斯联邦, MoscowTatiana Popkova
Nasonova Research Institute of Rheumatology
Email: gerasimovaev@list.ru
ORCID iD: 0000-0001-5793-4689
д-р мед. наук, зав. лаб. системных ревматических заболеваний
俄罗斯联邦, MoscowDaria Gerasimova
Sechenov First Moscow State Medical University (Sechenov University)
Email: gerasimovaev@list.ru
ORCID iD: 0000-0002-4958-0400
мл. науч. сотр. фак-та фарм-экономики
俄罗斯联邦, MoscowSvetlana Glukhova
Nasonova Research Institute of Rheumatology
Email: gerasimovaev@list.ru
ORCID iD: 0000-0002-4285-0869
канд. физ.-мат. наук, ст. науч. сотр. лаб. медико-социальных проблем ревматологии
俄罗斯联邦, MoscowEvgeny Nasonov
Nasonova Research Institute of Rheumatology; Sechenov First Moscow State Medical University (Sechenov University)
Email: nasonov@irramn.ru
ORCID iD: 0000-0002-1598-8360
акад. РАН, д-р мед. наук, проф., науч. рук. ФГБНУ «НИИ ревматологии ревматологии им. В.А. Насоновой», проф. ФГАОУ ВО «Первый МГМУ им. И.М. Сеченова»
俄罗斯联邦, Moscow; MoscowAleksander Lila
Nasonova Research Institute of Rheumatology; Russian Medical Academy of Continuous Professional Education
Email: gerasimovaev@list.ru
д-р мед. наук, проф., дир. ФГБНУ «НИИР им. В.А. Насоновой», зав. каф. ревматологии ФГБОУ ДПО РМАНПО
俄罗斯联邦, Moscow; Moscow参考
- Ревматология. Российские клинические рекомендации. Под ред. Е.Л. Насонова. М.: ГЭОТАР-Медиа, 2020 [Rheumatology. Russian clinical guidelines. Ed. EL Nasonov. Moscow: GEOTAR-Media, 2020 (in Russian)].
- Панафидина Т.А., Кондратьева Л.В., Герасимова Е.В., и др. Коморбидность при ревматоидном артрите. Научно-практическая ревматология. 2014;52(3):283-9 [Panafidina TA, Kondratyeva LV, Gerasimova EV, et al. Comorbidity in rheumatoid arthritis. Rheumatology Science and Practice. 2014;52(3):283-9 (in Russian)]. doi: 10.14412/1995-4484-2014-283-289
- Гордеев А.В., Галушко Е.А., Савушкина Н.М., и др. Оценка мультиморбидного профиля (CIRS) при ревматоидном артрите. Первые результаты. Соврем. ревматология. 2019;13(3):10-6 [Gordeev AV, Galushko EA, Savushkina NM, et al. Assessing the multimorbid profile (CIRS) in rheumatoid arthritis. First results. Mod Rheumatol. 2019;13(3):10-6 (in Russian)]. doi: 10.14412/1996-7012-2019-3-10-16
- Balsa A, Lojo-Oliveira L, Alperi-López M, et al. Prevalence of comorbidities in rheumatoid arthritis and evaluation of their monitoring in clinical practice: the spanish cohort of the COMORA study. Reumatol Clin. 2019;15(2):102-8. doi: 10.1016/j.reuma.2017.06.002
- Avina-Zubieta JA, Thomas J, Sadatsafavi M, et al. Risk of incident cardiovascular events in patients with rheumatoid arthritis: a meta-analysis of observational studies. Ann Rheum Dis. 2012;71(9):1524-9. doi: 10.1136/annrheumdis-2011-200726
- Wang H, Li X, Gong G. Cardiovascular outcomes in patients with co-existing coronary artery disease and rheumatoid arthritis: A systematic review and meta-analysis. Medicine (Baltimore). 2020;99(14):e19658. doi: 10.1097/MD.0000000000019658
- Dadoun S, Zeboulon-Ktorza N, Combescure C, et al. Mortality in rheumatoid arthritis over the last fifty years: systematic review and meta-analysis. Joint Bone Spine. 2013;80(1):29-33. doi: 10.1016/j.jbspin.2012.02.005
- Pappas DA, Nyberg F, Kremer JM, et al. Prevalence of cardiovascular disease and major risk factors in patients with rheumatoid arthritis: a multinational cross-sectional study. Clin Rheumatol. 2018;37(9):2331-40. doi: 10.1007/s10067-018-4113-3
- Crowson CS, Rollefstad S, Ikdahl E, et al. A Trans-Atlantic Cardiovascular Consortium for Rheumatoid Arthritis (ATACC-RA). Ann Rheum Dis. 2018;77(1):48-54. doi: 10.1136/annrheumdis-2017-211735.5
- D’Agostino RB Sr, Vasan RS, Pencina MJ, et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008;117(6):743-53. doi: 10.1161/CIRCULATIONAHA.107.699579
- Conroy RM, Pyörälä K, Fitzgerald AP, et al. 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
- Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 2007;297(6):611-9. doi: 10.1001/jama.297.6.611
- Goff DC Jr, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25 Suppl.2):S49-73. doi: 10.1161/01.cir.0000437741.48606.98
- Ridker PM, Paynter NP, Rifai N, et al. C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men. Circulation. 2008;118:2243-51.
- Arts EE, Popa C, Den Broeder AA, et al. Performance of four current risk algorithms in predicting cardiovascular events in patients with early rheumatoid arthritis. Ann Rheum Dis. 2015;74(4):668-74. doi: 10.1136/annrheumdis-2013-204024
- Crowson CS, Matteson EL, Roger VL, et al. Usefulness of risk scores to estimate the risk of cardiovascular disease in patients with rheumatoid arthritis. Am J Cardiol. 2012;110(3):420-4. doi: 10.1016/j.amjcard.2012.03.044
- Agca R, Heslinga SC, Rollefstad S, et al. EULAR recommendations for cardiovascular disease risk management in patients with rheumatoid arthritis and other forms of inflammatory joint disorders: 2015/2016 update. Ann Rheum Dis. 2017;76(1):17-28. doi: 10.1136/annrheumdis-2016-209775
- Woodward M, Brindle P, Tunstall-Pedoe H. Adding social deprivation and family history to cardio-vascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC). Heart. 2007;93:172-6.
- Hippisley-Cox J, Coupland C, Vinogradova Y, et al. Derivation and validationof QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohortstudy. BMJ. 2007;335:136.
- Hippisley-Cox J, Coupland C, Vinogradova Y, et al. Performance of the QRISK cardiovascularrisk prediction algorithm in an independent UK sample of patients from general practice: a valida-tion study. Heart. 2008;94:34-9.
- Hippisley-Cox J, Coupland C, Brindle P. Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. BMJ. 2017;357:j2099. doi: 10.1136/bmj.j2099
- Solomon DH, Greenberg J, Curtis JR, et al. Derivation and internal validation of an expanded cardiovascular risk prediction score for rheumatoid arthritis: a Consortium of Rheumatology Researchers of North America Registry Study. Arthritis Rheumatol. 2015;67(8):1995-2003. doi: 10.1002/art.39195
- Saba L, Jamthikar A, Gupta D, et al. Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited? Int Angiol. 2019;38(6):451-65. doi: 10.23736/s0392-9590.19.04267-6
- O’Leary DH, Bots ML. Imaging of atherosclerosis: carotid intima-media thickness. Eur Heart J. 2010;31(14):1682-9. doi: 10.1093/eurheartj/ehq185
- Khanna NN, Jamthikar AD, Gupta D, et al. Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: a diabetic study. Comput Biol Med. 2019;105:125-43. doi: 10.1016/j.compbiomed
- Dessein PH, Semb AG. Could cardiovascular disease risk stratification and management in rheumatoid arthritis be enhanced? Ann Rheum Dis. 2013;72(11):1743-6. doi: 10.1136/annrheumdis-2013-203911
- Colaco K, Ocampo V, Ayala AP, et al. Predictive Utility of Cardiovascular Risk Prediction Algorithms in Inflammatory Rheumatic Diseases: A Systematic Review. J Rheumatol. 2020;47(6):928-38. doi: 10.3899/jrheum.190261
- Galarza-Delgado DA, Azpiri-Lopez JR, Colunga-Pedraza IJ, et al. Assessment of six cardiovascular risk calculators in Mexican mestizo patients with rheumatoid arthritis according to the EULAR 2015/2016 recommendations for cardiovascular risk management. Clin Rheumatol. 2017;36(6):1387-93. doi: 10.1007/s10067-017-3551-7
- Cacciapaglia F, Fornaro M, Venerito V, et al. Cardiovascular risk estimation with 5 different algorithms before and after 5 years of bDMARD treatment in rheumatoid arthritis. Eur J Clin Invest. 2020:e13343. doi: 10.1111/eci.13343
- Wahlin B, Innala L, Magnusson S, et al. Performance of the Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis Is Not Superior to the ACC/AHA Risk Calculator. J Rheumatol. 2019;46(2):130-7. doi: 10.3899/jrheum.171008
- Kerekes G, Soltész P, Nurmohamed MT, et al. Validated methods for assessment of subclinical atherosclerosis in rheumatology. Nat Rev Rheumatol. 2012;8:224-34.
- Corrales A, Vegas-Revenga N, Rueda-Gotor J, et al. Carotid plaques as predictors of cardiovascular events in patients with Rheumatoid Arthritis. Results from a 5-year-prospective follow-up study. Semin Arthritis Rheum. 2020;50(6):1333-8. doi: 10.1016/j.semarthrit.2020.03.011
- Kobayashi H, Giles JT, Polak JF, et al. Increased prevalence of carotid artery atherosclerosis in rheumatoid arthritis is artery-specific. J Rheumatol. 2010;37(4):730-9. doi: 10.3899/jrheum.090670
- Semb AG, Rollefstad S, Provan SA, et al. Carotid plaque characteristics and disease activity in rheumatoid arthritis. J Rheumatol. 2013;40(4):359-68. doi: 10.3899/jrheum.120621
- Ristić GG, Lepić T, Glišić B, et al. Rheumatoid arthritis is an independent risk factor for increased carotid intima-media thickness: impact of anti-inflammatory treatment. Rheumatology. 2010;49(6):1076-81. doi: 10.1093/rheumatology/kep456
- Dehghan P, Rajaei A, Moeineddin R, Alizadeh AM. Prevalence of atherosclerosis in patients with inactive rheumatoid arthritis. Clin Rheumatol. 2015;34(8):1363-6. doi: 10.1007/s10067-015-2996-9
- Hannawi SM, Hannawi H, Alokaily F, Al Salmi I. Subclinical atherosclerosis in rheumatoid arthritis patients of the Gulf Cooperated Council. Saudi Med J. 2020;41(9):1022-5. doi: 10.15537/smj.2020.9.25319
- Dalbeni A, Giollo A, Bevilacqua M, et al. Traditional cardiovascular risk factors and residual disease activity are associated with atherosclerosis progression in rheumatoid arthritis patients. Hypertens Res. 2020;43(9):922-8. doi: 10.1038/s41440-020-0441-1
- Del Rincon I, Polak JF, O’Leary DH, et al. Systemic inflammation and cardiovascular risk factors predict rapid progression of atherosclerosis in rheumatoid arthritis. Ann Rheum Dis. 2015;74(6):1118-23. doi: 10.1136/annrheumdis-2013-205058
- Pope JE, Nevskaya T, Barra L, Parraga G. Carotid artery atherosclerosis in patients with active rheumatoid arthritis: predictors of plaque occurrence and progression over 24 weeks. Open Rheumatol J. 2016;10:49. doi: 10.2174/1874312901610010049
- Jamthikar AD, Puvvula A, Gupta D, et al. Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative review. Int Angiol. 2020;40(2):150-64. doi: 10.23736/S0392-9590.20.04538-1
- Ridker PM. Targeting inflammatory pathways for the treatment of cardiovascular disease. Eur Heart J. 2014;35(9):540-3. doi: 10.1093/eurheartj/eht398
- Pauli N, Puchałowicz K, Kuligowska A, et al. between IL-6 and Echo-Parameters in Patients with Early Onset Coronary Artery Disease. Diagnostics (Basel). 2019;9(4):189. doi: 10.3390/diagnostics9040189
- Gotsman I, Stabholz A, Planer D, et al. Serum cytokine tumor necrosis factor-alpha and interleukin-6 associated with the severity of coronary artery disease: indicators of an active inflammatory burden? Isr Med Assoc J. 2008;10(7):494-8.
- Corrales A, Vegas-Revenga N, Atienza-Mateo B, et al. Combined use of QRISK3 and SCORE as predictors of carotid plaques in patients with rheumatoid arthritis. Rheumatology (Oxford). 2020:keaa718. doi: 10.1093/rheumatology/keaa718
- Salaffi F, Carotti M, Di Carlo M, et al. The Expanded Risk Score in Rheumatoid Arthritis (ERS-RA): performance of a disease-specific calculator in comparison with the traditional prediction scores in the assessment of the 10-year risk of cardiovascular disease in patients with rheumatoid arthrit. Swiss Med Wkly. 2018;148:w14656.doi: 10.4414/smw.2018.14656.