Abstract

Aims

To assess differences in estimated cardiovascular disease (CVD) risk among rheumatoid arthritis (RA) patients from different world regions and to evaluate the management and goal attainment of lipids and blood pressure (BP).

Methods and results

The survey of CVD risk factors in patients with RA was conducted in 14 503 patients from 19 countries during 2014–19. The treatment goal for BP was <140/90 mmHg. CVD risk prediction and lipid goals were according to the 2016 European guidelines. Overall, 21% had a very high estimated risk of CVD, ranging from 5% in Mexico, 15% in Asia, 19% in Northern Europe, to 31% in Central and Eastern Europe and 30% in North America. Of the 52% with indication for lipid-lowering treatment (LLT), 44% were using LLT. The lipid goal attainment was 45% and 18% in the high and very high risk groups, respectively. Use of statins in monotherapy was 24%, while 1% used statins in combination with other LLT. Sixty-two per cent had hypertension and approximately half of these patients were at BP goal. The majority of the patients used antihypertensive treatment in monotherapy (24%), while 10% and 5% as a two- or three-drug combination.

Conclusion

We revealed considerable geographical differences in estimated CVD risk and preventive treatment. Low goal attainment for LLT was observed, and only half the patients obtained BP goal. Despite a high focus on the increased CVD risk in RA patients over the last decade, there is still substantial potential for improvement in CVD preventive measures.

Introduction

Patients with rheumatoid arthritis (RA) have an increased risk of cardiovascular disease (CVD), associated with a substantial inflammatory burden and increased prevalence of traditional risk factors of CVD.1 In line with what is observed in the general population, recent studies indicate a modest decline in CVD event rate for RA patients.2–4 Moreover, a few studies have reported a more pronounced reduction in CVD-related mortality in RA patients relative to the general population.5,6 However, epidemiological data from Norway in the time period 1995–2008 suggest that all-cause mortality in RA patients is still increased compared with the general population,7 indicating a persistent need for optimization of CVD preventive measures in these patients.

Over the last decade, a growing number of studies reported elevated risk of CVD in RA, yet it remains uncertain whether this knowledge has influenced the management of dyslipidaemia and hypertension. In the general population, regular audits on CVD risk factors allow for periodic evaluations of guideline implementation as well as changes over time. A global survey of CVD risk factor management (SURF) has been established with the mission of creating an international audit standard to record and monitor CVD risk factors and improve the prevention of CVD (www.surfriskfactor-audit.com). SURF has previously been performed in patients with coronary heart disease (CHD),8 and is currently ongoing among patients with stroke, chronic obstructive pulmonary disease, systemic lupus erythematosus, and antiphospholipid syndrome. To date, no surveys on CVD risk management across several world regions have previously been performed in patients with RA.

The objectives of the SURF in RA (SURF-RA) audit were to describe differences in estimated risk of atherosclerotic CVD among patients with RA from different world regions and to evaluate management of lipid-lowering treatment (LLT) and antihypertensive treatment.

Methods

The data in SURF-RA were derived from already established clinical cohorts, as well as from prospective recording in cardiology and rheumatology clinics, between 2014 and 2019. Patients aged >18 years with a clinically diagnosed RA were eligible for inclusion. The participating centres were divided into Western Europe, Central and Eastern Europe, Mexico, North America (USA and Canada), and Asia. The SURF-RA study has been approved by the Data Protection Officer (DPO) at the Oslo University Hospital, Ullevål (2017/7243), and a general data protection regulation evaluation was performed by the DPO at Diakonhjemmet Hospital (10/10-2018), Oslo, Norway. Each participating centre was responsible for obtaining the correct regulatory approval for participating in SURF-RA.

All data were recorded using a one-page questionnaire. Demographic data included year of birth and sex. The following RA disease-related variables were recorded: rheumatoid factor (RF) and anti-citrullinated protein antibody (ACPA) positivity, C-reactive protein and erythrocyte sedimentation rate (ESR), use of anti-rheumatic medication, and disease activity score using 28 joints with either C-reactive protein or ESR (DAS28CRP and DAS28ESR).

CVD risk factors registered were smoking status, physical activity, hypertension, hyperlipidaemia, obesity, diabetes mellitus, and the most recent CVD risk factor measurements. Moreover, use of lipid-lowering agents and antihypertensive treatment, as well as presence of established CVD, was recorded.

C-reactive protein, ESR, and lipid values were analysed according to each centre’s laboratory standards. For general CVD risk screening, fasting status has been shown not to influence the prognostic value of the blood sample,9 and we therefore included both fasting and non-fasting lipid values in the SURF-RA.

CVD risk estimation and treatment definitions

The 10-year risk of a fatal atherosclerotic CVD event was calculated using the European CVD risk calculator, the systematic coronary risk evaluation (SCORE), which includes information on age, sex, smoking status, total cholesterol (TC), HDL cholesterol (HDL-c), and systolic blood pressure (BP) (www.heartscore.org). Atherosclerotic CVD was defined as presence of CHD, stroke, and/or peripheral vascular disease.

Antihypertensive treatment

Hypertension was defined as measured BP ≥ 140/90 mmHg and/or use of antihypertensive treatment. The treatment goal of antihypertensive treatment was set at <140/90 mmHg according to guidelines at the time of the survey, which is a modest approach to the most recent European guidelines where defined targets depend upon age and side effects.10

Lipid-lowering therapy

The calculated CVD risk by SCORE was multiplied by 1.5 as recommended by the European League Against Rheumatism.11 Patients included in the high CVD risk group were (i) diabetes mellitus, (ii) TC > 8.1 mmol/L, (iii) SCORE ≥ 5% and <10%, and/or (iv) LLT use. The European guideline-recommended LDL cholesterol (LDL-c) goal was <2.6 mmol/L for patients in the high CVD risk group at the time of the survey.12

The following patients were classified in the very high CVD risk group: (i) established CVD and/or (ii) SCORE ≥ 10%. For patients in the very high CVD risk group, the LDL-c goal was <1.8 mmol/L.12

Statistical analyses

Descriptive summaries of continuous variables are given by mean (SD) or median (IQR) as appropriate, while categorical variables are summarized by frequencies and percentages. Between-group comparisons of continuous variables were carried out using the Kruskal–Wallis test, while the χ2 test was used for categorical outcomes. Missing data were not imputed in any case, each variable being summarized using all available data. All analyses were performed using the statistical software R, version 3.4.4.

Results

In total, 14 503 RA patients from 19 countries and 53 centres throughout three world regions were included (Supplementary material online, Table S1). Patient characteristics are shown in Table 1. Mean age was 59.8 ± 13.6 years. There was a strong female preponderance (75%). On average, the RA disease duration was 10.8 ± 9.5 years.

Table 1

Patient characteristics by region

AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)Asia
Number of patients14 50384939234074030650
Age, mean (SD) [n]59.8 (13.6) [14 443]60.7 (13.2) [8436]58.8 (11.8) [923]52.8 (11.6) [406]59.4 (14.8) [4030]55.7 (13.1) [648]
Female sex, % [n]74.5 [14 415]74.1 [8412]78.5 [917]92.4 [407]72.2 [4030]77.3 [649]
Current smoking, % [n]16.5 [13 172]19.2 [7765]28.5 [915]8.1 [407]9.7 [3443]7.8 [642]
Body mass index (kg/m2)27.4 (5.9) [11 556]26.6 (5.1) [7338]27.7 (6) [854]28.2 (5.7) [405]29.7 (7.3) [2647]23.8 (3.8) [312]
Atherosclerotic CVDa13.3 [12 625]11.4 [6619]21.4 [920]2.5 [407]16.2 [4029]10.3 [650]
Lipid levels (mmol/L), mean (SD) [n]
 Total cholesterol5.0 (1.1) [9359]5.2 (1.1) [6082]5.4 (1.2) [832]4.6 (0.9) [406]4.7 (1.1) [1510]4.5 (1.0) [529]
 LDL cholesterol2.9 (1) [9080]3.0 (1) [5817]3.2 (1.1) [699]2.5 (0.7) [406]2.5 (0.9) [1645]2.7 (0.8) [513]
 HDL cholesterol1.6 (0.5) [9093]1.6 (0.5) [5835]1.6 (0.5) [689]1.4 (0.4) [406]1.5 (0.5) [1650]1.1 (0.3) [513]
 Triglycerides1.4 (0.8) [9069]1.4 (0.8) [5757]1.4 (0.8) [728]1.6 (0.8) [406]1.6 (0.9) [1668]1.3 (0.6) [510]
Blood pressure (mmHg)
 Systolic blood pressure, mean (SD) [n]127.9 (18.1) [10 856]128.8 (18.7) [5651]132.2 (17.8) [923]117.7 (17.5) [406]126.6 (16.8) [3227]127.1 (16.5) [649]
 Diastolic blood pressure, mean (SD) [n]77.0 (12.2) [10 791]78.6 (12.8) [5587]82.0 (10.9) [923]74.3 (10) [406]73.1 (10.8) [3227]78.1 (9.4) [648]
 Hypertension, % [n]62.3 [11 838]61.4 [6321]75.3 [923]36.0 [406]66.0 [3540]48.5 [648]
CVD risk factors (%)
 Lipid disorder and hypertension40.2 [6919]36.4 [4177]54.7 [676]20.9 [402]57.2 [1174]27.3 [490]
 Lipid disorder, hypertension, and obesity12.9 [6067]9.2 [3886]17.9 [619]11.2 [400]27.8 [963]1.0 [199]
 Lipid disorder, hypertension, obesity, diabetes, and smoking0.6 [4274]0.5 [2093]1.3 [619]0.2 [400]0.7 [963]0.0 [199]
Cardiovascular disease risk categories by SCORE [n]692241796764021174491
 Very high, ≥10% (%)21.119.231.25.030.015.3
 High, 5% to <10% (%)30.428.531.534.838.821.2
 Moderate, 1–4% (%)23.226.117.321.615.526.9
 Low, <1% (%)25.3 26.220.038.615.736.7
AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)Asia
Number of patients14 50384939234074030650
Age, mean (SD) [n]59.8 (13.6) [14 443]60.7 (13.2) [8436]58.8 (11.8) [923]52.8 (11.6) [406]59.4 (14.8) [4030]55.7 (13.1) [648]
Female sex, % [n]74.5 [14 415]74.1 [8412]78.5 [917]92.4 [407]72.2 [4030]77.3 [649]
Current smoking, % [n]16.5 [13 172]19.2 [7765]28.5 [915]8.1 [407]9.7 [3443]7.8 [642]
Body mass index (kg/m2)27.4 (5.9) [11 556]26.6 (5.1) [7338]27.7 (6) [854]28.2 (5.7) [405]29.7 (7.3) [2647]23.8 (3.8) [312]
Atherosclerotic CVDa13.3 [12 625]11.4 [6619]21.4 [920]2.5 [407]16.2 [4029]10.3 [650]
Lipid levels (mmol/L), mean (SD) [n]
 Total cholesterol5.0 (1.1) [9359]5.2 (1.1) [6082]5.4 (1.2) [832]4.6 (0.9) [406]4.7 (1.1) [1510]4.5 (1.0) [529]
 LDL cholesterol2.9 (1) [9080]3.0 (1) [5817]3.2 (1.1) [699]2.5 (0.7) [406]2.5 (0.9) [1645]2.7 (0.8) [513]
 HDL cholesterol1.6 (0.5) [9093]1.6 (0.5) [5835]1.6 (0.5) [689]1.4 (0.4) [406]1.5 (0.5) [1650]1.1 (0.3) [513]
 Triglycerides1.4 (0.8) [9069]1.4 (0.8) [5757]1.4 (0.8) [728]1.6 (0.8) [406]1.6 (0.9) [1668]1.3 (0.6) [510]
Blood pressure (mmHg)
 Systolic blood pressure, mean (SD) [n]127.9 (18.1) [10 856]128.8 (18.7) [5651]132.2 (17.8) [923]117.7 (17.5) [406]126.6 (16.8) [3227]127.1 (16.5) [649]
 Diastolic blood pressure, mean (SD) [n]77.0 (12.2) [10 791]78.6 (12.8) [5587]82.0 (10.9) [923]74.3 (10) [406]73.1 (10.8) [3227]78.1 (9.4) [648]
 Hypertension, % [n]62.3 [11 838]61.4 [6321]75.3 [923]36.0 [406]66.0 [3540]48.5 [648]
CVD risk factors (%)
 Lipid disorder and hypertension40.2 [6919]36.4 [4177]54.7 [676]20.9 [402]57.2 [1174]27.3 [490]
 Lipid disorder, hypertension, and obesity12.9 [6067]9.2 [3886]17.9 [619]11.2 [400]27.8 [963]1.0 [199]
 Lipid disorder, hypertension, obesity, diabetes, and smoking0.6 [4274]0.5 [2093]1.3 [619]0.2 [400]0.7 [963]0.0 [199]
Cardiovascular disease risk categories by SCORE [n]692241796764021174491
 Very high, ≥10% (%)21.119.231.25.030.015.3
 High, 5% to <10% (%)30.428.531.534.838.821.2
 Moderate, 1–4% (%)23.226.117.321.615.526.9
 Low, <1% (%)25.3 26.220.038.615.736.7

SCORE: systematic coronary risk evaluation.

a

Atherosclerotic CVD includes coronary heart disease, stroke, and peripheral artery disease.

Table 1

Patient characteristics by region

AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)Asia
Number of patients14 50384939234074030650
Age, mean (SD) [n]59.8 (13.6) [14 443]60.7 (13.2) [8436]58.8 (11.8) [923]52.8 (11.6) [406]59.4 (14.8) [4030]55.7 (13.1) [648]
Female sex, % [n]74.5 [14 415]74.1 [8412]78.5 [917]92.4 [407]72.2 [4030]77.3 [649]
Current smoking, % [n]16.5 [13 172]19.2 [7765]28.5 [915]8.1 [407]9.7 [3443]7.8 [642]
Body mass index (kg/m2)27.4 (5.9) [11 556]26.6 (5.1) [7338]27.7 (6) [854]28.2 (5.7) [405]29.7 (7.3) [2647]23.8 (3.8) [312]
Atherosclerotic CVDa13.3 [12 625]11.4 [6619]21.4 [920]2.5 [407]16.2 [4029]10.3 [650]
Lipid levels (mmol/L), mean (SD) [n]
 Total cholesterol5.0 (1.1) [9359]5.2 (1.1) [6082]5.4 (1.2) [832]4.6 (0.9) [406]4.7 (1.1) [1510]4.5 (1.0) [529]
 LDL cholesterol2.9 (1) [9080]3.0 (1) [5817]3.2 (1.1) [699]2.5 (0.7) [406]2.5 (0.9) [1645]2.7 (0.8) [513]
 HDL cholesterol1.6 (0.5) [9093]1.6 (0.5) [5835]1.6 (0.5) [689]1.4 (0.4) [406]1.5 (0.5) [1650]1.1 (0.3) [513]
 Triglycerides1.4 (0.8) [9069]1.4 (0.8) [5757]1.4 (0.8) [728]1.6 (0.8) [406]1.6 (0.9) [1668]1.3 (0.6) [510]
Blood pressure (mmHg)
 Systolic blood pressure, mean (SD) [n]127.9 (18.1) [10 856]128.8 (18.7) [5651]132.2 (17.8) [923]117.7 (17.5) [406]126.6 (16.8) [3227]127.1 (16.5) [649]
 Diastolic blood pressure, mean (SD) [n]77.0 (12.2) [10 791]78.6 (12.8) [5587]82.0 (10.9) [923]74.3 (10) [406]73.1 (10.8) [3227]78.1 (9.4) [648]
 Hypertension, % [n]62.3 [11 838]61.4 [6321]75.3 [923]36.0 [406]66.0 [3540]48.5 [648]
CVD risk factors (%)
 Lipid disorder and hypertension40.2 [6919]36.4 [4177]54.7 [676]20.9 [402]57.2 [1174]27.3 [490]
 Lipid disorder, hypertension, and obesity12.9 [6067]9.2 [3886]17.9 [619]11.2 [400]27.8 [963]1.0 [199]
 Lipid disorder, hypertension, obesity, diabetes, and smoking0.6 [4274]0.5 [2093]1.3 [619]0.2 [400]0.7 [963]0.0 [199]
Cardiovascular disease risk categories by SCORE [n]692241796764021174491
 Very high, ≥10% (%)21.119.231.25.030.015.3
 High, 5% to <10% (%)30.428.531.534.838.821.2
 Moderate, 1–4% (%)23.226.117.321.615.526.9
 Low, <1% (%)25.3 26.220.038.615.736.7
AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)Asia
Number of patients14 50384939234074030650
Age, mean (SD) [n]59.8 (13.6) [14 443]60.7 (13.2) [8436]58.8 (11.8) [923]52.8 (11.6) [406]59.4 (14.8) [4030]55.7 (13.1) [648]
Female sex, % [n]74.5 [14 415]74.1 [8412]78.5 [917]92.4 [407]72.2 [4030]77.3 [649]
Current smoking, % [n]16.5 [13 172]19.2 [7765]28.5 [915]8.1 [407]9.7 [3443]7.8 [642]
Body mass index (kg/m2)27.4 (5.9) [11 556]26.6 (5.1) [7338]27.7 (6) [854]28.2 (5.7) [405]29.7 (7.3) [2647]23.8 (3.8) [312]
Atherosclerotic CVDa13.3 [12 625]11.4 [6619]21.4 [920]2.5 [407]16.2 [4029]10.3 [650]
Lipid levels (mmol/L), mean (SD) [n]
 Total cholesterol5.0 (1.1) [9359]5.2 (1.1) [6082]5.4 (1.2) [832]4.6 (0.9) [406]4.7 (1.1) [1510]4.5 (1.0) [529]
 LDL cholesterol2.9 (1) [9080]3.0 (1) [5817]3.2 (1.1) [699]2.5 (0.7) [406]2.5 (0.9) [1645]2.7 (0.8) [513]
 HDL cholesterol1.6 (0.5) [9093]1.6 (0.5) [5835]1.6 (0.5) [689]1.4 (0.4) [406]1.5 (0.5) [1650]1.1 (0.3) [513]
 Triglycerides1.4 (0.8) [9069]1.4 (0.8) [5757]1.4 (0.8) [728]1.6 (0.8) [406]1.6 (0.9) [1668]1.3 (0.6) [510]
Blood pressure (mmHg)
 Systolic blood pressure, mean (SD) [n]127.9 (18.1) [10 856]128.8 (18.7) [5651]132.2 (17.8) [923]117.7 (17.5) [406]126.6 (16.8) [3227]127.1 (16.5) [649]
 Diastolic blood pressure, mean (SD) [n]77.0 (12.2) [10 791]78.6 (12.8) [5587]82.0 (10.9) [923]74.3 (10) [406]73.1 (10.8) [3227]78.1 (9.4) [648]
 Hypertension, % [n]62.3 [11 838]61.4 [6321]75.3 [923]36.0 [406]66.0 [3540]48.5 [648]
CVD risk factors (%)
 Lipid disorder and hypertension40.2 [6919]36.4 [4177]54.7 [676]20.9 [402]57.2 [1174]27.3 [490]
 Lipid disorder, hypertension, and obesity12.9 [6067]9.2 [3886]17.9 [619]11.2 [400]27.8 [963]1.0 [199]
 Lipid disorder, hypertension, obesity, diabetes, and smoking0.6 [4274]0.5 [2093]1.3 [619]0.2 [400]0.7 [963]0.0 [199]
Cardiovascular disease risk categories by SCORE [n]692241796764021174491
 Very high, ≥10% (%)21.119.231.25.030.015.3
 High, 5% to <10% (%)30.428.531.534.838.821.2
 Moderate, 1–4% (%)23.226.117.321.615.526.9
 Low, <1% (%)25.3 26.220.038.615.736.7

SCORE: systematic coronary risk evaluation.

a

Atherosclerotic CVD includes coronary heart disease, stroke, and peripheral artery disease.

More than half of the patients were RF and/or ACPA positive. The median levels of C-reactive protein and ESR were low, and mean RA disease activity, as measured by the composite scores DAS28CRP and DAS28ESR, also reflected a modest disease activity (Supplementary material online, Table S2).

Mean body mass index was 27.4 kg/m2. Current smoking was most common in Central and Eastern Europe (29%), in contrast to America and Asia (∼8–10%). Mean TC was 5.0 mmol/L, while LDL-c ranged from 2.5 mmol/L in America to ∼3.0 mmol/L in Europe. Average BP was in the normal range (mean 128/77 mmHg), particularly, with lowest measurements in Mexico (mean 118/74 mmHg). Hypertension was reported as present in nearly two-thirds of all the patients (Table 1).

The prevalence of known atherosclerotic CVD was 13% (Table 1). Premature familial CVD was not a prominent risk factor, except in patients from Central and Eastern Europe (15%). Thirteen per cent of the patients had diabetes mellitus, mainly type 2 diabetes (12%) (data not shown).

Overall, the distribution of patients in the different CVD risk categories by SCORE was comparable. The majority of the patients in the highest CVD risk classes were from Central and Eastern Europe and North America (Table 1).

Use of CVD preventive medication is presented in Table 2. Around one-fourth of all RA patients were on statin therapy, except those in the Asian and Mexican cohorts, where the reported statin use was only 6% and 16%, respectively. The use of other LLT was low in all investigated regions (1–7%). The proportion of patients at LDL-c goal was higher among patients using statins in combination with other LLT (41.8%), than in patients using statins in monotherapy (31.2%).

Table 2

Medication use

AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)AsiaP-value
Number of patients14 50384939234074030650
Lipid-lowering treatment (%) [n]
 Any statin23.9 [10 439]22.2 [4432]27.0 [921]15.5 [407]28.8 [4029]6.0 [650]<0.001
 Any other lipid-lowering agent2.5 [7831]2.9 [1833]1.5 [921]6.9 [407]2.3 [4020]1.2 [650]<0.001
 Statin and concomitant use of any other lipid-lowering agent0.9 [9849]0.8 [3844]0.8 [921]2.9 [407]1.0 [4027]0.2 [650]<0.001
Lipid goal attainment (%)
 Statin in monotherapy31.2 [1815]42.3 [366]29.3 [242]56.9 [51]26.7 [1118]31.6 [38]<0.001
 Statin and concomitant use of any other lipid-lowering agent41.8 [91]55.2 [29]14.3 [7]25.0 [12]42.9 [42]0.0 [1]0.169
Antihypertensive agents (%) [n]
 Any antihypertensive29.0 [14 503]17.4 [8493]57.0 [923]24.8 [407]46.8 [4030]31.8 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
 Any β-blocker18.8 [7833]16.9 [1833]30.5 [921]3.4 [407]20.3 [4022]8.3 [650]<0.001
 Any calcium antagonist11.7 [7833]8.5 [1833]19.7 [921]2.7 [407]11.0 [4022]19.7 [650]<0.001
 Any angiotensin-converting enzyme inhibitor14.0 [7831]10.4 [1833]29.8 [921]8.4 [407]14.0 [4020]5.8 [650]<0.001
 Any diuretic14.7 [7831]11.5 [1833]17.8 [921]3.2 [407]18.4 [4020]3.4 [650]<0.001
 Any angiotensin receptor blocker8.4 [7829]7.4 [1832]13.9 [920]8.4 [407]7.5 [4020]8.5 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
Blood pressure goal attainment (%)
 Monotherapy62.5 [2041]56.1 [868]49.4 [176]62.2 [82]73.0 [808]57.0 [107]<0.001
 Two-drug combination63.8 [976]61.6 [229]49.1 [163]57.1 [14]71.7 [498]51.4 [72]<0.001
 Three-drug combination64.5 [471]67.5 [83]56.4 [140]60.0 [5]70.9 [220]43.5 [23]0.013
AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)AsiaP-value
Number of patients14 50384939234074030650
Lipid-lowering treatment (%) [n]
 Any statin23.9 [10 439]22.2 [4432]27.0 [921]15.5 [407]28.8 [4029]6.0 [650]<0.001
 Any other lipid-lowering agent2.5 [7831]2.9 [1833]1.5 [921]6.9 [407]2.3 [4020]1.2 [650]<0.001
 Statin and concomitant use of any other lipid-lowering agent0.9 [9849]0.8 [3844]0.8 [921]2.9 [407]1.0 [4027]0.2 [650]<0.001
Lipid goal attainment (%)
 Statin in monotherapy31.2 [1815]42.3 [366]29.3 [242]56.9 [51]26.7 [1118]31.6 [38]<0.001
 Statin and concomitant use of any other lipid-lowering agent41.8 [91]55.2 [29]14.3 [7]25.0 [12]42.9 [42]0.0 [1]0.169
Antihypertensive agents (%) [n]
 Any antihypertensive29.0 [14 503]17.4 [8493]57.0 [923]24.8 [407]46.8 [4030]31.8 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
 Any β-blocker18.8 [7833]16.9 [1833]30.5 [921]3.4 [407]20.3 [4022]8.3 [650]<0.001
 Any calcium antagonist11.7 [7833]8.5 [1833]19.7 [921]2.7 [407]11.0 [4022]19.7 [650]<0.001
 Any angiotensin-converting enzyme inhibitor14.0 [7831]10.4 [1833]29.8 [921]8.4 [407]14.0 [4020]5.8 [650]<0.001
 Any diuretic14.7 [7831]11.5 [1833]17.8 [921]3.2 [407]18.4 [4020]3.4 [650]<0.001
 Any angiotensin receptor blocker8.4 [7829]7.4 [1832]13.9 [920]8.4 [407]7.5 [4020]8.5 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
Blood pressure goal attainment (%)
 Monotherapy62.5 [2041]56.1 [868]49.4 [176]62.2 [82]73.0 [808]57.0 [107]<0.001
 Two-drug combination63.8 [976]61.6 [229]49.1 [163]57.1 [14]71.7 [498]51.4 [72]<0.001
 Three-drug combination64.5 [471]67.5 [83]56.4 [140]60.0 [5]70.9 [220]43.5 [23]0.013
Table 2

Medication use

AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)AsiaP-value
Number of patients14 50384939234074030650
Lipid-lowering treatment (%) [n]
 Any statin23.9 [10 439]22.2 [4432]27.0 [921]15.5 [407]28.8 [4029]6.0 [650]<0.001
 Any other lipid-lowering agent2.5 [7831]2.9 [1833]1.5 [921]6.9 [407]2.3 [4020]1.2 [650]<0.001
 Statin and concomitant use of any other lipid-lowering agent0.9 [9849]0.8 [3844]0.8 [921]2.9 [407]1.0 [4027]0.2 [650]<0.001
Lipid goal attainment (%)
 Statin in monotherapy31.2 [1815]42.3 [366]29.3 [242]56.9 [51]26.7 [1118]31.6 [38]<0.001
 Statin and concomitant use of any other lipid-lowering agent41.8 [91]55.2 [29]14.3 [7]25.0 [12]42.9 [42]0.0 [1]0.169
Antihypertensive agents (%) [n]
 Any antihypertensive29.0 [14 503]17.4 [8493]57.0 [923]24.8 [407]46.8 [4030]31.8 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
 Any β-blocker18.8 [7833]16.9 [1833]30.5 [921]3.4 [407]20.3 [4022]8.3 [650]<0.001
 Any calcium antagonist11.7 [7833]8.5 [1833]19.7 [921]2.7 [407]11.0 [4022]19.7 [650]<0.001
 Any angiotensin-converting enzyme inhibitor14.0 [7831]10.4 [1833]29.8 [921]8.4 [407]14.0 [4020]5.8 [650]<0.001
 Any diuretic14.7 [7831]11.5 [1833]17.8 [921]3.2 [407]18.4 [4020]3.4 [650]<0.001
 Any angiotensin receptor blocker8.4 [7829]7.4 [1832]13.9 [920]8.4 [407]7.5 [4020]8.5 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
Blood pressure goal attainment (%)
 Monotherapy62.5 [2041]56.1 [868]49.4 [176]62.2 [82]73.0 [808]57.0 [107]<0.001
 Two-drug combination63.8 [976]61.6 [229]49.1 [163]57.1 [14]71.7 [498]51.4 [72]<0.001
 Three-drug combination64.5 [471]67.5 [83]56.4 [140]60.0 [5]70.9 [220]43.5 [23]0.013
AllWestern EuropeCentral and Eastern EuropeMexicoNorth America (USA and Canada)AsiaP-value
Number of patients14 50384939234074030650
Lipid-lowering treatment (%) [n]
 Any statin23.9 [10 439]22.2 [4432]27.0 [921]15.5 [407]28.8 [4029]6.0 [650]<0.001
 Any other lipid-lowering agent2.5 [7831]2.9 [1833]1.5 [921]6.9 [407]2.3 [4020]1.2 [650]<0.001
 Statin and concomitant use of any other lipid-lowering agent0.9 [9849]0.8 [3844]0.8 [921]2.9 [407]1.0 [4027]0.2 [650]<0.001
Lipid goal attainment (%)
 Statin in monotherapy31.2 [1815]42.3 [366]29.3 [242]56.9 [51]26.7 [1118]31.6 [38]<0.001
 Statin and concomitant use of any other lipid-lowering agent41.8 [91]55.2 [29]14.3 [7]25.0 [12]42.9 [42]0.0 [1]0.169
Antihypertensive agents (%) [n]
 Any antihypertensive29.0 [14 503]17.4 [8493]57.0 [923]24.8 [407]46.8 [4030]31.8 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
 Any β-blocker18.8 [7833]16.9 [1833]30.5 [921]3.4 [407]20.3 [4022]8.3 [650]<0.001
 Any calcium antagonist11.7 [7833]8.5 [1833]19.7 [921]2.7 [407]11.0 [4022]19.7 [650]<0.001
 Any angiotensin-converting enzyme inhibitor14.0 [7831]10.4 [1833]29.8 [921]8.4 [407]14.0 [4020]5.8 [650]<0.001
 Any diuretic14.7 [7831]11.5 [1833]17.8 [921]3.2 [407]18.4 [4020]3.4 [650]<0.001
 Any angiotensin receptor blocker8.4 [7829]7.4 [1832]13.9 [920]8.4 [407]7.5 [4020]8.5 [650]<0.001
  Monotherapy23.8 [10 473]25.5 [4473]19.1 [921]20.1 [407]24.5 [4022]16.5 [650]<0.001
  Two-drug combination10.3 [10 473]5.3 [4473]17.7 [921]3.4 [407]14.7 [4022]11.1 [650]<0.001
  Three-drug combination4.8 [10 473]1.9 [4473]15.2 [921]1.2 [407]6.2 [4022]3.5 [650]<0.001
Blood pressure goal attainment (%)
 Monotherapy62.5 [2041]56.1 [868]49.4 [176]62.2 [82]73.0 [808]57.0 [107]<0.001
 Two-drug combination63.8 [976]61.6 [229]49.1 [163]57.1 [14]71.7 [498]51.4 [72]<0.001
 Three-drug combination64.5 [471]67.5 [83]56.4 [140]60.0 [5]70.9 [220]43.5 [23]0.013

The use of antihypertensive treatment also differed substantially between the cohorts, with a mean prevalence of 29%, and lowest use reported in Western Europe and Mexico. A minority of the total cohort received a two- or three-drug antihypertensive treatment combination. The proportion of patients at BP goal receiving antihypertensive treatment in monotherapy or as a two- or three-drug combination was comparable (62.5%, 63.8%, and 64.5%, respectively).

BP goal attainment is presented in Figure 1: ∼40% of the hypertensive patients did not receive antihypertensive treatment, and among the patients who were using antihypertensive treatment, 63% were at the defined BP goal. In comparison, the BP goal attainment declined to 50% when all patients with an indication for antihypertensive treatment (both patients using and not using antihypertensive treatment) were included, with lowest numbers in Central and Eastern Europe (41%) and highest in North America (64%).

The proportion of patients achieving blood pressure goals across five geographical regions. Abbreviation: BP, blood pressure.
Figure 1

The proportion of patients achieving blood pressure goals across five geographical regions. Abbreviation: BP, blood pressure.

Lipid goal attainment is shown in Figure 2. Fifty-two per cent had an indication for LLT, of which 44% used LLT. Among the patients treated with LLT, recommended LDL-c goals were obtained by 58% in the high and 37% in the very high CVD risk group. Out of those with indication for LLT (both patients using and not using LLT), only 45% and 18% were at LDL-c targets in the high and very high CVD risk classes, respectively. There were considerable differences in LDL-c goal attainment between different geographical areas, with the highest goal attainment rate in North America and lowest in Central and Eastern Europe, Mexico, and Asia. Further information on BP and lipid goal attainment within each world region is illustrated in Figure 3AC and Supplementary material online, Figure S1.

The proportion of patients reaching lipid goals across five geographical areas. Abbreviations: CVD, cardiovascular disease; LLT, lipid-lowering treatment; LDL-c, LDL cholesterol.
Figure 2

The proportion of patients reaching lipid goals across five geographical areas. Abbreviations: CVD, cardiovascular disease; LLT, lipid-lowering treatment; LDL-c, LDL cholesterol.

The proportion of patients achieving guideline-recommended goals for lipids and blood pressure across 19 countries. Abbreviations: BP, blood pressure; LLT, lipid-lowering treatment.
Figure 3

The proportion of patients achieving guideline-recommended goals for lipids and blood pressure across 19 countries. Abbreviations: BP, blood pressure; LLT, lipid-lowering treatment.

Table 3 shows the BP and lipid goal attainment for patients with indication for CVD preventive treatment. Attainment of recommended BP and LDL-c goals was comparable across patients with different RA disease activity levels. Although females had a higher degree of BP target achievement than men, the opposite was observed regarding LDL-c goal attainment in patients at very high risk of CVD, where a lower frequency at 16% was observed in women compared with 21% in men (P = 0.001). The proportion of patients who achieved target BP was significantly higher in those >70 years (P < 0.001), while no differences in lipid goal achievement in the various age categories were observed.

Table 3

Goal attainment of cardiovascular disease risk factors and associated patient factors

Blood pressure targetLLT target, high riskLLT target, very high risk
DAS28CRP
 Remission (<2.6)47.9 (960/2003)44.0 (350/796)17.7 (90/508)
 Low (2.6–3.2)47.7 (284/596)46.1 (107/232)13.2 (20/151)
 Moderate (3.3–5.1)46.9 (459/978)44.8 (151/337)16.0 (39/243)
 High (>5.1)51.4 (93/181)44.2 (23/52)20.5 (9/44)
P-value0.7430.950.533
Sex
 Male46.7 (831/1781)46.6 (287/616)20.6 (129/626)
 Female50.5 (2286/4527)44.4 (663/1492)15.9 (133/834)
P-value0.0070.3920.026
Age
 <5041.0 (281/685)46.2 (67/145)17.6 (6/34)
 50–6044.5 (631/1418)40.0 (146/365)15.4 (25/162)
 60–7051.2 (1052/2056)44.8 (368/821)19.1 (79/414)
 ≥7053.7 (1167/2172)47.5 (369/777)17.9 (152/850)
P-value<0.0010.1260.786
Blood pressure targetLLT target, high riskLLT target, very high risk
DAS28CRP
 Remission (<2.6)47.9 (960/2003)44.0 (350/796)17.7 (90/508)
 Low (2.6–3.2)47.7 (284/596)46.1 (107/232)13.2 (20/151)
 Moderate (3.3–5.1)46.9 (459/978)44.8 (151/337)16.0 (39/243)
 High (>5.1)51.4 (93/181)44.2 (23/52)20.5 (9/44)
P-value0.7430.950.533
Sex
 Male46.7 (831/1781)46.6 (287/616)20.6 (129/626)
 Female50.5 (2286/4527)44.4 (663/1492)15.9 (133/834)
P-value0.0070.3920.026
Age
 <5041.0 (281/685)46.2 (67/145)17.6 (6/34)
 50–6044.5 (631/1418)40.0 (146/365)15.4 (25/162)
 60–7051.2 (1052/2056)44.8 (368/821)19.1 (79/414)
 ≥7053.7 (1167/2172)47.5 (369/777)17.9 (152/850)
P-value<0.0010.1260.786

DAS28CRP, disease activity score using 28 joints and C-reactive protein; LLT, lipid-lowering treatment.

Table 3

Goal attainment of cardiovascular disease risk factors and associated patient factors

Blood pressure targetLLT target, high riskLLT target, very high risk
DAS28CRP
 Remission (<2.6)47.9 (960/2003)44.0 (350/796)17.7 (90/508)
 Low (2.6–3.2)47.7 (284/596)46.1 (107/232)13.2 (20/151)
 Moderate (3.3–5.1)46.9 (459/978)44.8 (151/337)16.0 (39/243)
 High (>5.1)51.4 (93/181)44.2 (23/52)20.5 (9/44)
P-value0.7430.950.533
Sex
 Male46.7 (831/1781)46.6 (287/616)20.6 (129/626)
 Female50.5 (2286/4527)44.4 (663/1492)15.9 (133/834)
P-value0.0070.3920.026
Age
 <5041.0 (281/685)46.2 (67/145)17.6 (6/34)
 50–6044.5 (631/1418)40.0 (146/365)15.4 (25/162)
 60–7051.2 (1052/2056)44.8 (368/821)19.1 (79/414)
 ≥7053.7 (1167/2172)47.5 (369/777)17.9 (152/850)
P-value<0.0010.1260.786
Blood pressure targetLLT target, high riskLLT target, very high risk
DAS28CRP
 Remission (<2.6)47.9 (960/2003)44.0 (350/796)17.7 (90/508)
 Low (2.6–3.2)47.7 (284/596)46.1 (107/232)13.2 (20/151)
 Moderate (3.3–5.1)46.9 (459/978)44.8 (151/337)16.0 (39/243)
 High (>5.1)51.4 (93/181)44.2 (23/52)20.5 (9/44)
P-value0.7430.950.533
Sex
 Male46.7 (831/1781)46.6 (287/616)20.6 (129/626)
 Female50.5 (2286/4527)44.4 (663/1492)15.9 (133/834)
P-value0.0070.3920.026
Age
 <5041.0 (281/685)46.2 (67/145)17.6 (6/34)
 50–6044.5 (631/1418)40.0 (146/365)15.4 (25/162)
 60–7051.2 (1052/2056)44.8 (368/821)19.1 (79/414)
 ≥7053.7 (1167/2172)47.5 (369/777)17.9 (152/850)
P-value<0.0010.1260.786

DAS28CRP, disease activity score using 28 joints and C-reactive protein; LLT, lipid-lowering treatment.

Discussion

SURF-RA is the first international audit of CVD risk management in patients with RA including data on risk factor levels and management from three world regions. We report considerable geographical differences in estimated CVD risk, initiated preventive treatment, and attainment of guideline-recommended goals for BP and lipids in RA patients, in line with what has previously been reported for patients with CHD.13 In our data, a large proportion of Central and Eastern European and North American patients had high or very high estimated risk of CVD. Interestingly, the highest fraction with goal attainments for LLT and antihypertensive treatment was found in North America, in contrast to poor treatment results in Central and Eastern Europe. In fact, data from a recent large nationwide polish study showed that there was a high prevalence of CVD and CVD risk factors also in non-RA persons from this region.14 There are several possible explanations for the geographical variations in estimated CVD risk and treatment of risk factors, including differences in health care resources and systems, drug availability, national guidance on preventive therapy, and finally differences between adopted guidelines.

Approximately half of the patients in the SURF-RA had an indication for LLT based on estimated CVD risk, and indeed, the actual proportion may be even higher considering previous reports on inaccurate CVD risk prediction in patients with RA.15,16 Unfortunately, attempts to develop an RA-specific CVD risk calculator have failed to improve risk prediction compared with already established CVD algorithms.17,18 Hence, further efforts to more accurately predict CVD risk in patients with RA are needed.

The benefit of LLT in reducing CVD morbidity and mortality is well documented in the general population.19,20 One large statin trial has been performed in patients with RA, the Trial of Atorvastatin for the Primary Prevention of Cardiovascular Events in Patients with Rheumatoid Arthritis (TRACE RA). The study was unfortunately terminated prematurely due to lower CVD event rates than anticipated.21 Although not statistically significant, TRACE RA did demonstrate a 34% relative risk reduction of major CVD events, which is comparable to reports from other patient populations.19 Moreover, a post-hoc analysis of two large statin trials confirmed a comparable effect of statins in terms of reduction of LDL-c and CVD events in patients with and without RA.22 The LDL-c hypothesis has been confirmed by several studies over the last years; the lower the LDL-c, the better CVD outcome. This may be achieved by adding ezetimibe, a cholesterol absorption inhibitor, to the maximally tolerated statin dose.23 Taking into consideration the evidence regarding efficacy of LDL-c lowering on CVD outcomes in patients with RA, optimal statin dosing and increasing the modest use of other LLT than statins observed in the SURF-RA is a potential area of improvement. In many countries, CVD risk evaluation is performed by primary care physicians. Patients with RA do not see their primary care physician as often as other individuals, possibly due to regular consultations at the rheumatology department.24 One may also speculate that lack of communication between rheumatologists and cardiologists/lipidologists/hypertensiologists contributes to the poor handling of CVD risk in patients with RA. Other possible reasons for why only about half of the SUF-RA patients with indication for LLT actually received such treatment may be the fair of drug–drug interactions and statin intolerance that may be more prevalent in patients with rheumatic diseases. However, in a position paper on statin intolerance, it is stated that statins should always be considered in patients with rheumatic diseases and high CVD risk.25

The evidence regarding CVD risk management in RA is inconsistent. In a Swedish cohort study, the risk of recurrent acute coronary syndromes and mortality was increased among patients with RA compared with non-RA subjects, yet the authors found no discrepancies in prescribed secondary preventive medication between the groups.26 Similarly, a UK general practice study reported no differences in CVD risk management between RA and non-RA persons.27 Data from the USA confirmed that traditional CVD risk factors are not less aggressively managed in patients with RA compared with controls.28 In contrast, significant underuse of statins prescribed as primary prevention has been reported in both the USA and the UK.29,30 Moreover, results from a Danish nationwide study showed a lower rate of preventive therapy initiation after myocardial infarction in RA patients compared with non-RA subjects.31 In our study, the degree of lipid goal achievement (18%) was lower than what has been reported for CHD patients without RA (32% in men and 23% in women).32 Another recent study confirmed that there are still gaps between guideline recommendations and clinical practice for lipid management across Europe, which actually will be exacerbated due to more aggressive treatment goals in the 2019 guidelines.33,34 There are many possible reasons for the inconsistent evidence regarding CVD management in RA compared with non-RA individuals, including different practices in various geographical regions, in general vs. specialist health care, and variations in CVD risk prediction and treatment target recommendations. However, a lipid goal attainment of only 18%, as seen in the RA patients at the highest risk of CVD in SURF-RA, is undoubtedly an area that needs improvement, especially since we have previously shown that LDL-c goal attainment for secondary prevention purposes is feasible in almost three-fourths of RA patients.35 Further, we have demonstrated that lipid goal attainment was not influenced by inflammation or use of anti-rheumatic medications.36 This is in line with the SURF-RA data in that the level of RA disease activity was not associated with either BP or lipid goal attainment.

Bartels et al. found that RA patients had ∼30% lower hazard ratio of being diagnosed with hypertension than non-RA persons.37 In the present study, we found a prevalence of hypertension at around 60% in RA patients, slightly lower than the estimate reported from the UK in 2007 (70%).38 While this difference may be explained by geographical variations, it may also be a result of more attention on the beneficial effects of BP lowering over the last decade. The UK study showed further that only 22% of hypertensive RA patients who were on antihypertensive treatment had reached BP target,38 which is substantially lower than the BP goal attainment of 63% in SURF-RA. Taking into account all patients with an indication for antihypertensive treatment (both those using and not using antihypertensive treatment), the rate of BP goal attainment was ∼50%. This latter estimate is comparable to data from the general population.39 In the latest European guidelines on hypertension, poor adherence to prescribed antihypertensive treatment is pointed out as a key hindrance to BP goal attainment.10 To our knowledge, no such studies discussing compliance of antihypertensive treatment in patients with RA have been published. However, increased focus on drug adherence is likely to raise the proportion of RA patients who reach BP target. European guidelines recommend a dual combination of antihypertensive medication as first-line treatment, except in fragile elderly and those at an overall low risk of CVD.10 Interestingly, our data demonstrate that only a minor proportion of RA patients received such combination therapy. We argue that increased use of dual or triple combinations of antihypertensive drugs may improve BP goal attainment among patients with RA.

The prevalence of CVD in the SURF-RA was relatively low at 13%. This may be due to a global trend towards reduced CVD mortality that has been reported during the last few years for both the general population and patients with RA.5,6 The mean age of the study population was ∼60 years and almost 75% of the patients were females, which may also possibly explain the relatively low CVD prevalence. As for non-RA persons, it has previously been shown that there is a sex difference in CVD event rates in patients with RA independent of traditional CVD risk factors and markers of RA disease activity.40

The SURF-RA audit has limitations; the analyses included data from both established cohorts and consecutively recruited patients, which may represent differences in RA disease activity, treatment, etc. This non-systematic data collection and inclusion difference may have represented a bias regarding estimated risk of CVD due to age and inflammation level, but it is less likely that cohort differences have affected adherence to treatment guidelines on hypertension and dyslipidaemia. Differences in data collection including missing data may also represent a potential source of bias. Furthermore, we employed the same definitions of CVD risk calculation and treatment targets (i.e. European guidelines) to enable uniform comparison of data from different regions. However, comparisons were hampered since several centres were non-European and thus have had other guidelines with diverse treatment goals to adhere to. Variations in the number of patients recruited from different countries, lack of data from several countries (e.g. from Poland, which is the largest country in Central and Eastern Europe), and also discrepancies in CVD risk between countries representing each region are limitations to the SURF-RA data. As for all studies including patient reported variables, there was a possibility of responder bias. Finally, the low reported prevalence of CVD at 2.5% in the Mexican population may partly be explained by lower age, higher proportion of females (92%), and low smoking prevalence compared with the other investigated regions, but there is also a possibility of a selection bias of included patients from Mexico. The SURF-RA also has several strengths, including a large sample size and data from different world regions, which are lacking in other audits on CVD risk management performed in patients with RA.

Conclusions

This large international survey on RA patients, the SURF-RA, revealed considerable geographical differences in estimated CVD risk and preventive treatment among different world regions. Special attention should be paid to enhance preventive treatment for patient with RA in Central and Eastern Europe. We observed lower goal attainment for LLT than what has previously been reported for individuals with CHD, and only half of the patients had obtained BP goal. Despite a high focus on the increased CVD risk in patients with RA over the last decade, there is still a substantial potential for improvement in CVD preventive measures. We recommend to establish protocols and standard operating procedures to assist health care professionals looking after RA patients.

Conflict of interest: S.R. and A.G.S. disclose collaborative agreement for independent research support from Eli Lilly who had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. C.A.H. has received grants from Pfizer Canada (unrelated research work), USB Canada (unrelated research work), and Covid Immunity Task Force (unrelated research work). A.B. is Chair of Government Formulary List Advisory Committee (Malta). P.D. has received honoraria from Pfizer, Lilly, and Galapagos. M.T. has received a grant from Ministry of Health Czech Republic (023723, NV18-01-00161A). A.G.S. has received honoraria for lectures from AbbVie, Novartis, Bayer, Eli Lilly, and Sanofi. E.I., G.W., J.S., C.S.C., P.v.R., G.D.K., I.G., S.R.D., G.K., E.M., M.A.G.-G., P.P.S., M.G.T., A.L., D.V., B.K., M.S.S., V.P.-R., D.A.G.-D., P.F., D.P.M., R.M., E.M.M., D.G., S.M., L.K., T.P., A.T., M.V., J.L., P.H., and H.M. have nothing to disclose.

Data availability statement: The data underlying this article will be shared on reasonable request to the corresponding author.

References

1.

Semb
AG
,
Ikdahl
E
,
Wibetoe
G
,
Crowson
C
,
Rollefstad
S
.
Atherosclerotic cardiovascular disease prevention in rheumatoid arthritis
.
Nat Rev Rheumatol
2020
;
16
:
361
379
.

2.

van den Hoek
J
,
Roorda
LD
,
Boshuizen
HC
,
Tijhuis
GJ
,
Dekker
J
,
van den Bos
GA
,
Nurmohamed
MT
.
Trend in and predictors for cardiovascular mortality in patients with rheumatoid arthritis over a period of 15 years: a prospective cohort study
.
Clin Exp Rheumatol
2016
;
34
:
813
819
.

3.

Humphreys
JH
,
Warner
A
,
Chipping
J
,
Marshall
T
,
Lunt
M
,
Symmons
DP
,
Verstappen
SM
.
Mortality trends in patients with early rheumatoid arthritis over 20 years: results from the Norfolk Arthritis Register
.
Arthritis Care Res
2014
;
66
:
1296
1301
.

4.

Holmqvist
M
,
Ljung
L
,
Askling
J
.
Mortality following new-onset rheumatoid arthritis: has modern rheumatology had an impact?
Ann Rheum Dis
2018
;
77
:
85
91
.

5.

Kerola
AM
,
Nieminen
TV
,
Virta
LJ
,
Kautiainen
H
,
Kerola
T
,
Pohjolainen
T
,
Kauppi
MJ
,
Puolakka
K
.
No increased cardiovascular mortality among early rheumatoid arthritis patients: a nationwide register study in 2000–2008
.
Clin Exp Rheumatol
2015
;
33
:
391
398
.

6.

Myasoedova
E
,
Gabriel
SE
,
Matteson
EL
,
Davis
JM
III
,
Therneau
TM
,
Crowson
CS
.
Decreased cardiovascular mortality in patients with incident rheumatoid arthritis (RA) in recent years: dawn of a new era in cardiovascular disease in RA?
J Rheumatol
2017
;
44
:
732
739
.

7.

Houge
IS
,
Hoff
M
,
Thomas
R
,
Videm
V
.
Mortality is increased in patients with rheumatoid arthritis or diabetes compared to the general population—the Nord-Trondelag Health Study
.
Sci Rep
2020
;
10
:
3593
.

8.

Cooney
M
,
Reiner
Z
,
Sheu
W
,
Ryden
L
,
de Sutter
J
,
De Bacquer
D
,
De Backer
G
,
Mithal
A
,
Chung
N
,
Lim
Y
,
Dudina
A
,
Reynolds
A
,
Dunney
K
,
Graham
I
,
SURF Investigators
.
SURF—SUrvey of Risk Factor management: first report of an international audit
.
Eur J Prev Cardiol
2014
;
21
:
813
822
.

9.

Doran
B
,
Guo
Y
,
Xu
J
,
Weintraub
H
,
Mora
S
,
Maron
DJ
,
Bangalore
S
.
Prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol levels on long-term mortality: insight from the National Health and Nutrition Examination Survey III (NHANES-III)
.
Circulation
2014
;
130
:
546
553
.

10.

Williams
B
,
Mancia
G
,
Spiering
W
,
Agabiti
RE
,
Azizi
M
,
Burnier
M
,
Clement
DL
,
Coca
A
,
de Simone
G
,
Dominiczak
A
,
Kahan
T
,
Mahfoud
F
,
Redon
J
,
Ruilope
L
,
Zanchetti
A
,
Kerins
M
,
Kjeldsen
SE
,
Kreutz
R
,
Laurent
S
,
Lip
GYH
,
McManus
R
,
Narkiewicz
K
,
Ruschitzka
F
,
Schmieder
RE
,
Shlyakhto
E
,
Tsioufis
C
,
Aboyans
V
,
Desormais
I
.
2018 ESC/ESH Guidelines for the management of arterial hypertension
.
Eur Heart J
2018
;
39
:
3021
3104
.

11.

Agca
R
,
Heslinga
SC
,
Rollefstad
S
,
Heslinga
M
,
McInnes
IB
,
Peters
MJ
,
Kvien
TK
,
Dougados
M
,
Radner
H
,
Atzeni
F
,
Primdahl
J
,
Sodergren
A
,
Wallberg
JS
,
van Rompay
J
,
Zabalan
C
,
Pedersen
TR
,
Jacobsson
L
,
de Vlam
K
,
Gonzalez-Gay
MA
,
Semb
AG
,
Kitas
GD
,
Smulders
YM
,
Szekanecz
Z
,
Sattar
N
,
Symmons
DP
,
Nurmohamed
MT
.
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
:
17
28
.

12.

Piepoli
MF
,
Hoes
AW
,
Agewall
S
,
Albus
C
,
Brotons
C
,
Catapano
AL
,
Cooney
MT
,
Corra
U
,
Cosyns
B
,
Deaton
C
,
Graham
I
,
Hall
MS
,
Hobbs
FD
,
Lochen
ML
,
Lollgen
H
,
Marques-Vidal
P
,
Perk
J
,
Prescott
E
,
Redon
J
,
Richter
DJ
,
Sattar
N
,
Smulders
Y
,
Tiberi
M
,
van der Worp
HB
,
van Dis
I
,
Verschuren
WM
,
De Backer
G
,
Roffi
M
,
Aboyans
V
,
Bachl
N
,
Bueno
H
,
Carerj
S
,
Cho
L
,
Cox
J
,
De Sutter
J
,
Egidi
G
,
Fisher
M
,
Fitzsimons
D
,
Franco
OH
,
Guenoun
M
,
Jennings
C
,
Jug
B
,
Kirchhof
P
,
Kotseva
K
,
Lip
GY
,
Mach
F
,
Mancia
G
,
Bermudo
FM
,
Mezzani
A
,
Niessner
A
,
Ponikowski
P
,
Rauch
B
,
Ryden
L
,
Stauder
A
,
Turc
G
,
Wiklund
O
,
Windecker
S
,
Zamorano
JL
.
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)
.
Eur J Prev Cardiol
2016
;
23
:
NP1
NP96
.

13.

Ferrari
R
,
Ford
I
,
Greenlaw
N
,
Tardif
JC
,
Tendera
M
,
Abergel
H
,
Fox
K
,
Hu
D
,
Shalnova
S
,
Steg
PG
.
Geographical variations in the prevalence and management of cardiovascular risk factors in outpatients with CAD: data from the contemporary CLARIFY registry
.
Eur J Prev Cardiol
2015
;
22
:
1056
1065
.

14.

Jozwiak
JJ
,
Studzinski
K
,
Tomasik
T
,
Windak
A
,
Mastej
M
,
Catapano
AL
,
Ray
KK
,
Mikhailidis
DP
,
Toth
PP
,
Howard
G
,
Lip
GYH
,
Tomaszewski
M
,
Charchar
FJ
,
Sattar
N
,
Williams
B
,
MacDonald
TM
,
Nowak
D
,
Skowron
L
,
Kasperczyk
S
,
Banach
M
.
The prevalence of cardiovascular risk factors and cardiovascular disease among primary care patients in Poland: results from the LIPIDOGRAM2015 study
.
Atheroscler Suppl
2020
;
42
:
e15
e24
.

15.

Arts
EE
,
Popa
C
,
den Broeder
AA
,
Semb
AG
,
Toms
T
,
Kitas
GD
,
van Riel
PL
,
Fransen
J
.
Performance of four current risk algorithms in predicting cardiovascular events in patients with early rheumatoid arthritis
.
Ann Rheum Dis
2015
;
74
:
668
674
.

16.

Crowson
CS
,
Matteson
EL
,
Roger
VL
,
Therneau
TM
,
Gabriel
SE
.
Usefulness of risk scores to estimate the risk of cardiovascular disease in patients with rheumatoid arthritis
.
Am J Cardiol
2012
;
110
:
420
424
.

17.

Crowson
CS
,
Rollefstad
S
,
Kitas
GD
,
van Riel
PL
,
Gabriel
SE
,
Semb
AG
.
Challenges of developing a cardiovascular risk calculator for patients with rheumatoid arthritis
.
PLoS One
2017
;
12
:
e0174656
.

18.

Wahlin
B
,
Innala
L
,
Magnusson
S
,
Moller
B
,
Smedby
T
,
Rantapaa-Dahlqvist
S
,
Wallberg-Jonsson
S
.
Performance of the expanded cardiovascular risk prediction score for rheumatoid arthritis is not superior to the ACC/AHA risk calculator
.
J Rheumatol
2019
;
46
:
130
137
.

19.

Baigent
C
,
Blackwell
L
,
Emberson
J
,
Holland
LE
,
Reith
C
,
Bhala
N
,
Peto
R
,
Barnes
EH
,
Keech
A
,
Simes
J
,
Collins
R
.
Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials
.
Lancet
2010
;
376
:
1670
1681
.

20.

Mihaylova
B
,
Emberson
J
,
Blackwell
L
,
Keech
A
,
Simes
J
,
Barnes
EH
,
Voysey
M
,
Gray
A
,
Collins
R
,
Baigent
C
.
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
.
Lancet
2012
;
380
:
581
590
.

21.

Kitas
GD
,
Nightingale
P
,
Armitage
J
,
Sattar
N
,
Belch
JJF
,
Symmons
DPM
.
Trial of atorvastatin for the primary prevention of cardiovascular events in patients with rheumatoid arthritis (TRACE RA): a multicenter, randomized, placebo controlled trial
.
Arthritis Rheumatol
2019
;
71
:
1437
1449
.

22.

Semb
AG
,
Kvien
TK
,
DeMicco
DA
,
Fayyad
R
,
Wun
CC
,
LaRosa
JC
,
Betteridge
J
,
Pedersen
TR
,
Holme
I
.
Effect of intensive lipid-lowering therapy on cardiovascular outcome in patients with and those without inflammatory joint disease
.
Arthritis Rheum
2012
;
64
:
2836
2846
.

23.

Cannon
CP
,
Blazing
MA
,
Giugliano
RP
,
McCagg
A
,
White
JA
,
Theroux
P
,
Darius
H
,
Lewis
BS
,
Ophuis
TO
,
Jukema
JW
,
De Ferrari
GM
,
Ruzyllo
W
,
De
LP
,
Im
K
,
Bohula
EA
,
Reist
C
,
Wiviott
SD
,
Tershakovec
AM
,
Musliner
TA
,
Braunwald
E
,
Califf
RM
.
Ezetimibe added to statin therapy after acute coronary syndromes
.
N Engl J Med
2015
;
372
:
2387
2397
.

24.

Monk
HL
,
Muller
S
,
Mallen
CD
,
Hider
SL
.
Cardiovascular screening in rheumatoid arthritis: a cross-sectional primary care database study
.
BMC Fam Pract
2013
;
14
:
150
.

25.

Banach
M
,
Rizzo
M
,
Toth
PP
,
Farnier
M
,
Davidson
MH
,
Al-Rasadi
K
,
Aronow
WS
,
Athyros
V
,
Djuric
DM
,
Ezhov
MV
,
Greenfield
RS
,
Hovingh
GK
,
Kostner
K
,
Serban
C
,
Lighezan
D
,
Fras
Z
,
Moriarty
PM
,
Muntner
P
,
Goudev
A
,
Ceska
R
,
Nicholls
SJ
,
Broncel
M
,
Nicolic
D
,
Pella
D
,
Puri
R
,
Rysz
J
,
Wong
ND
,
Bajnok
L
,
Jones
SR
,
Ray
KK
,
Mikhailidis
DP
,
Statin intolerance—an attempt at a unified definition. Position paper from an International Lipid Expert Panel
.
Arch Med Sci
2015
;
11
:
1
23
.

26.

Mantel
A
,
Holmqvist
M
,
Andersson
DC
,
Lund
LH
,
Askling
J
.
Association between rheumatoid arthritis and risk of ischemic and nonischemic heart failure
.
J Am Coll Cardiol
2017
;
69
:
1275
1285
.

27.

Alemao
E
,
Cawston
H
,
Bourhis
F
,
Al
M
,
Rutten-van Molken
MP
,
Liao
KP
,
Solomon
DH
.
Cardiovascular risk factor management in patients with RA compared to matched non-RA patients
.
Rheumatology
2016
;
55
:
809
816
.

28.

An
J
,
Cheetham
TC
,
Reynolds
K
,
Alemao
E
,
Kawabata
H
,
Liao
KP
,
Solomon
DH
.
Traditional cardiovascular disease risk factor management in rheumatoid arthritis compared to matched nonrheumatoid arthritis in a US managed care setting
.
Arthritis Care Res
2016
;
68
:
629
637
.

29.

Akkara Veetil
BM
,
Myasoedova
E
,
Matteson
EL
,
Gabriel
SE
,
Crowson
CS
.
Use of lipid-lowering agents in rheumatoid arthritis: a population-based cohort study
.
J Rheumatol
2013
;
40
:
1082
1088
.

30.

Toms
TE
,
Panoulas
VF
,
Douglas
KM
,
Griffiths
H
,
Sattar
N
,
Smith
JP
,
Symmons
DP
,
Nightingale
P
,
Metsios
GS
,
Kitas
GD
.
Statin use in rheumatoid arthritis in relation to actual cardiovascular risk: evidence for substantial undertreatment of lipid-associated cardiovascular risk?
Ann Rheum Dis
2010
;
69
:
683
688
.

31.

Lindhardsen
J
,
Ahlehoff
O
,
Gislason
GH
,
Madsen
OR
,
Olesen
JB
,
Torp-Pedersen
C
,
Hansen
PR
.
Initiation and adherence to secondary prevention pharmacotherapy after myocardial infarction in patients with rheumatoid arthritis: a nationwide cohort study
.
Ann Rheum Dis
2012
;
71
:
1496
1501
.

32.

De Backer
G
,
Jankowski
P
,
Kotseva
K
,
Mirrakhimov
E
,
Reiner
Z
,
Ryden
L
,
Tokgozoglu
L
,
Wood
D
,
De Baquer
D
.
Management of dyslipidaemia in patients with coronary heart disease: results from the ESC-EORP EUROASPIRE V survey in 27 countries
.
Atherosclerosis
2019
;
285
:
135
146
.

33.

Ray
KK
,
Molemans
B
,
Schoonen
WM
,
Giovas
P
,
Bray
S
,
Kiru
G
,
Murphy
J
,
Banach
M
,
De Servi
S
,
Gaita
D
,
Gouni-Berthold
I
,
Hovingh
GK
,
Jozwiak
JJ
,
Jukema
JW
,
Kiss
RG
,
Kownator
S
,
Iversen
HK
,
Maher
V
,
Masana
L
,
Parkhomenko
A
,
Peeters
A
,
Clifford
P
,
Raslova
K
,
Siostrzonek
P
,
Romeo
S
,
Tousoulis
D
,
Vlachopoulos
C
,
Vrablik
M
,
Catapano
AL
,
Poulter
NR
.
EU-wide cross-sectional observational study of lipid-modifying therapy use in secondary and primary care: the DA VINCI study
.
Eur J Prev Cardiol
2020
:
zwaa047
.

34.

Mach
F
,
Baigent
C
,
Catapano
AL
,
Koskinas
KC
,
Casula
M
,
Badimon
L
,
Chapman
MJ
,
De Backer
GG
,
Delgado
V
,
Ference
BA
,
Graham
IM
,
Halliday
A
,
Landmesser
U
,
Mihaylova
B
,
Pedersen
TR
,
Riccardi
G
,
Richter
DJ
,
Sabatine
MS
,
Taskinen
MR
,
Tokgozoglu
L
,
Wiklund
O
.
2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk
.
Eur Heart J
2020
;
41
:
111
188
.

35.

Rollefstad
S
,
Kvien
TK
,
Holme
I
,
Eirheim
AS
,
Pedersen
TR
,
Semb
AG
.
Treatment to lipid targets in patients with inflammatory joint diseases in a preventive cardio-rheuma clinic
.
Ann Rheum Dis
2013
;
72
:
1968
1974
.

36.

Rollefstad
S
,
Ikdahl
E
,
Hisdal
J
,
Kvien
TK
,
Pedersen
TR
,
Holme
I
,
Semb
AG
.
Systemic inflammation in patients with inflammatory joint diseases does not influence statin dose needed to obtain LDL cholesterol goal in cardiovascular prevention
.
Ann Rheum Dis
2015
;
74
:
1544
1550
.

37.

Bartels
CM
,
Johnson
H
,
Voelker
K
,
Thorpe
C
,
McBride
P
,
Jacobs
EA
,
Pandhi
N
,
Smith
M
.
Impact of rheumatoid arthritis on receiving a diagnosis of hypertension among patients with regular primary care
.
Arthritis Care Res
2014
;
66
:
1281
1288
.

38.

Panoulas
VF
,
Douglas
KM
,
Milionis
HJ
,
Stavropoulos-Kalinglou
A
,
Nightingale
P
,
Kita
MD
,
Tselios
AL
,
Metsios
GS
,
Elisaf
MS
,
Kitas
GD
.
Prevalence and associations of hypertension and its control in patients with rheumatoid arthritis
.
Rheumatology
2007
;
46
:
1477
1482
.

39.

Prugger
C
,
Keil
U
,
Wellmann
J
,
De Bacquer
D
,
De Backer
G
,
Ambrosio
GB
,
Reiner
Z
,
Gaita
D
,
Wood
D
,
Kotseva
K
,
Heidrich
J
.
Blood pressure control and knowledge of target blood pressure in coronary patients across Europe: results from the EUROASPIRE III survey
.
J Hypertens
2011
;
29
:
1641
1648
.

40.

Crowson
CS
,
Rollefstad
S
,
Ikdahl
E
,
Kitas
GD
,
van Riel
PLCM
,
Gabriel
SE
,
Matteson
EL
,
Kvien
TK
,
Douglas
K
,
Sandoo
A
,
Arts
E
,
Wallberg-Jonsson
S
,
Innala
L
,
Karpouzas
G
,
Dessein
PH
,
Tsang
L
,
El-Gabalawy
H
,
Hitchon
C
,
Ramos
VP
,
Yanez
IC
,
Sfikakis
PP
,
Zampeli
E
,
Gonzalez-Gay
MA
,
Corrales
A
,
Laar
MV
,
Vonkeman
HE
,
Meek
I
,
Semb
AG
.
Impact of risk factors associated with cardiovascular outcomes in patients with rheumatoid arthritis
.
Ann Rheum Dis
2018
;
77
:
48
54
.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Supplementary data