Aims

Country differences in management practices are evident, and the publication of management guidelines by the European Society of Cardiology (ESC) and other learned societies has tried to recommend a uniform evidence-based approach to management. Despite the availability of guidelines and efforts to improve implementation, differences in guideline adherence are evident, and differences between countries and regions within Europe are therefore likely.

Methods and results

In this analysis from the baseline dataset of the EORP-AF Pilot survey, we examined regional differences in presentation and treatment of contemporary patients with atrial fibrillation (AF) in Europe, as managed by European cardiologists. We focused on a subgroup of 902 hospital admitted patients in whom no rhythm control was performed or planned. Chronic heart failure was more common in East countries (P < 0.0001) while hypertension and peripheral artery disease were more common in South countries (both P < 0.0001). Previous bleeding and chronic kidney disease were more common in South countries (both P < 0.0001). A CHA2DS2-VASc score of ≥2 was highest in East and South countries (93.0 and 95.3%, respectively) compared with 80.8% in West countries (P < 0.0001). A HAS-BLED score of ≥3 was also highest in East and South countries (18.0 and 29.2% respectively) compared with 4.8% in West countries (P < 0.0001). Oral anticoagulation (OAC) use (either as OAC or OAC plus antiplatelet therapy) in West, East, and South countries was 72.0, 74.7, and 76.2%, respectively. Only antiplatelet therapy was used in 13.6, 15.4, and 12.4%, respectively. An initial rate control strategy only was most common in South countries (77.8%) (P < 0.0001).

Conclusion

From the systematic collection of contemporary data regarding the management and treatment of AF in nine participating member ESC countries, we provide hypothesis-generating insights into regional management practices in Europe with regard to patient characteristics and treatment options.

What's new?

  • We provide systematic collection of contemporary data regarding the management and treatment of AF in nine participating member ESC countries.

  • There are important hypothesis-generating insights into regional management practices in Europe with regard to patient characteristics and treatment options.

Introduction

Atrial fibrillation (AF) remains the commonest sustained cardiac arrhythmia worldwide, and given the complications associated with this increasingly prevalent arrhythmia, AF confers a major public health burden. Recent projections based on the Rotterdam study suggest that from 2010 to 2060, the number of adults ≥55 years with AF in European countries will increase 2-fold, to 17.9 million (95% CI: 13.6–23.7 million) assuming that the age- and sex-specific prevalence remains stable.1 Similar observations have been noted in North America.2

The European Society of Cardiology (ESC) conducted the EuroHeart survey a decade ago, to get an insight into the epidemiology and clinical practice of European cardiologists, related to AF.3 Since that initial survey, many new studies have addressed the impact of rate vs. rhythm control, and the use of catheter ablation—which have shaped new guidelines.4,5 Furthermore, the contemporary management of AF has changed towards being more patient-centred and symptom-directed.6

Country differences in management practices are evident, and the publication of management guidelines by the ESC and other learned societies has tried to recommend a uniform evidence-based approach to management. Indeed, the guideline adherent treatment of AF is associated with much better outcomes.7,8 Despite the availability of guidelines and efforts to improve implementation, differences in guideline adherence are evident in everyday practice.911 Differences between countries and regions within Europe are therefore likely.

In this analysis from the baseline dataset of the EORP-AF Pilot survey, we examined regional differences in presentation and treatment of contemporary patients with AF in Europe, as managed by European cardiologists.

Methods

The full baseline features and results from the EORP-AF Pilot survey have been previously published.10 In this ancillary analysis, we focused on regional differences in clinical features and management. In brief, the EORP-AF registry population comprised consecutive in- and out-patients with AF presenting to cardiologists in participating ESC countries. For the whole registry, consecutive patients were screened for eligibility at the time of their presentation to a cardiologist (either based at hospital or non-hospital medical outpatient centre). All patients provided written informed consent. Patients with the primary or secondary recorded diagnosis of AF were included.

As previously described, patients were officially enrolled in the EORP-AF only if an electrocardiogram (ECG) diagnosis (12-lead ECG, 24 h Holter, or other electrocardiographic documentation) confirming AF was made.10 The qualifying episode of AF should have occurred within the last year, and patients did not need to be in AF at the time of enrolment. For the pilot phase, nine countries formally participated. A minimum of 20 consecutive patients per centre were to be enrolled, with a target of 3000 patients. Enrolment into the registry started in February 2012, and the end of enrolment was March 2013.

As only nine countries participated in the EORP-AF Pilot General registry, we arbitrarily divided the participating countries into three country groups: West (Belgium, Denmark, Netherlands, and Norway), East (Poland and Romania), and South (Greece, Italy, and Portugal). We recognize the artificial nature of such a division, but modest patient numbers in some individual countries preclude meaningful country-by-country comparisons.

Statistical analyses

Univariate analysis was applied to both continuous and categorical variables. Continuous variables were reported as mean ± SD or as median and interquartile range (IQR). Among-group comparisons were made using a non-parametric test (Kruskal–Wallis test). Categorical variables were reported as percentages. Among-group comparisons were made using a χ2 test or Fisher's Exact test if any expected cell count was less than five.

Results

The EORP-AF Pilot registry enrolled 3119 patients overall, from nine countries and detailed baseline data have previously been reported for the whole cohort.10 Table 1 summarizes patient characteristics and antithrombotic drug use among the subgroup of n = 902 hospital admitted patients in whom no rhythm control [i.e. pharmacological cardioversion (PCV), electrical cardioversion (ECV), and catheter ablation] was performed or planned at initial presentation (as recorded by the investigators). Patients in South countries were older (P < 0.0001) but the proportion of females were non-significantly different. In the West countries, the commonest reason for hospital admission was AF (48.8%) and heart failure (18.4%), while in East and South countries, heart failure (34.2 and 33.0%, respectively) was the commonest reason (Figure 1).
Table 1

Patient characteristics and antithrombotic drug use of hospital-admitted patients in whom no PCV and ECV and catheter ablation were performed or planned

 WholecohortWestEastSouthP-value
Belgium, Denmark, Netherlands, NorwayPoland, RomaniaGreece, Italy, Portugal
N = 902N = 125N = 462N = 315
Demographics:
 Age (years) (mean ± SD)71.2 ± 11.370.2 ± 12.269.1 ± 10.774.5 ± 11.0<0.0001
 Age (years) (median, IQR)73 (64–79)73 (64–78)69 (62–77)76 (69–82)
 Female gender (%)41.036.844.238.10.1414
Type of AF:
 First detected (%)36.530.532.744.2<0.0001
 Paroxysmal (%)19.040.718.811.2
 Persistent (%)12.59.312.513.8
 Long standing persistent (%)2.42.54.00.0
 Permanent (%)29.517.032.030.8
Reason for visit:
 AF (%)31.648.833.122.5<0.0001
 Acute myocardial infarction (%)8.27.26.710.8
 Valvular heart disease (%)7.14.04.811.8
 Hypertension (%)1.31.62.20.0
 Heart failure (%)31.618.434.233.0
 Other coronary artery disease (%)8.95.610.67.6
 Other cardiac (%)8.511.25.811.4
 Other non-cardiac reason (%)2.83.22.62.9
Past medical history
 Ischaemic thromboembolic complications (%)16.613.015.819.20.2350
 Previous TIA (%)4.83.32.68.60.0005
 Previous stroke (%)7.96.58.97.00.5224
 Chronic heart failure (%)63.434.872.760.1<0.0001
 Hypertension (%)74.156.875.978.2<0.0001
 Coronary artery disease (%)47.641.849.646.80.3629
 Peripheral vascular disease (%)15.02.910.825.2<0.0001
 Diabetes mellitus (%)26.722.427.627.10.5014
 Haemorrhagic events (%)9.23.36.115.9<0.0001
 Malignancy (%)4.65.73.55.70.3078
 Chronic kidney disease (%)21.66.422.526.4<0.0001
CHADS2 score:
 06.620.05.03.8<0.0001
 118.621.618.817.1
 ≥274.758.476.279.1
CHAD2DS2-VASc score:
 02.16.42.00.6<0.0001
 15.812.85.04.1
 ≥292.180.893.095.3
HAS-BLED score
 0–279.995.282.070.8<0.0001
 ≥320.14.818.029.2
Antithrombotic treatment at discharge:
 None and Unknown2.77.22.41.30.0064
 OAC alone53.456.854.650.5
 AP alone14.113.615.412.4
 OAC + AP21.415.220.125.7
 Othera8.47.27.610.2
Initial management strategy:
 Rate control only (%)63.546.458.477.8<0.0001
 Rate and rhythm control (%)24.636.832.08.9
 Rhythm control only (%)5.56.47.62.2
 Observation (%)6.310.42.011.1
 WholecohortWestEastSouthP-value
Belgium, Denmark, Netherlands, NorwayPoland, RomaniaGreece, Italy, Portugal
N = 902N = 125N = 462N = 315
Demographics:
 Age (years) (mean ± SD)71.2 ± 11.370.2 ± 12.269.1 ± 10.774.5 ± 11.0<0.0001
 Age (years) (median, IQR)73 (64–79)73 (64–78)69 (62–77)76 (69–82)
 Female gender (%)41.036.844.238.10.1414
Type of AF:
 First detected (%)36.530.532.744.2<0.0001
 Paroxysmal (%)19.040.718.811.2
 Persistent (%)12.59.312.513.8
 Long standing persistent (%)2.42.54.00.0
 Permanent (%)29.517.032.030.8
Reason for visit:
 AF (%)31.648.833.122.5<0.0001
 Acute myocardial infarction (%)8.27.26.710.8
 Valvular heart disease (%)7.14.04.811.8
 Hypertension (%)1.31.62.20.0
 Heart failure (%)31.618.434.233.0
 Other coronary artery disease (%)8.95.610.67.6
 Other cardiac (%)8.511.25.811.4
 Other non-cardiac reason (%)2.83.22.62.9
Past medical history
 Ischaemic thromboembolic complications (%)16.613.015.819.20.2350
 Previous TIA (%)4.83.32.68.60.0005
 Previous stroke (%)7.96.58.97.00.5224
 Chronic heart failure (%)63.434.872.760.1<0.0001
 Hypertension (%)74.156.875.978.2<0.0001
 Coronary artery disease (%)47.641.849.646.80.3629
 Peripheral vascular disease (%)15.02.910.825.2<0.0001
 Diabetes mellitus (%)26.722.427.627.10.5014
 Haemorrhagic events (%)9.23.36.115.9<0.0001
 Malignancy (%)4.65.73.55.70.3078
 Chronic kidney disease (%)21.66.422.526.4<0.0001
CHADS2 score:
 06.620.05.03.8<0.0001
 118.621.618.817.1
 ≥274.758.476.279.1
CHAD2DS2-VASc score:
 02.16.42.00.6<0.0001
 15.812.85.04.1
 ≥292.180.893.095.3
HAS-BLED score
 0–279.995.282.070.8<0.0001
 ≥320.14.818.029.2
Antithrombotic treatment at discharge:
 None and Unknown2.77.22.41.30.0064
 OAC alone53.456.854.650.5
 AP alone14.113.615.412.4
 OAC + AP21.415.220.125.7
 Othera8.47.27.610.2
Initial management strategy:
 Rate control only (%)63.546.458.477.8<0.0001
 Rate and rhythm control (%)24.636.832.08.9
 Rhythm control only (%)5.56.47.62.2
 Observation (%)6.310.42.011.1

aOthers include: OAC + other ATT, AP + other ATT, OAC + AP + other ATT and Other ATT (fondaparinux, LMW heparin, UF heparin, other).

Table 1

Patient characteristics and antithrombotic drug use of hospital-admitted patients in whom no PCV and ECV and catheter ablation were performed or planned

 WholecohortWestEastSouthP-value
Belgium, Denmark, Netherlands, NorwayPoland, RomaniaGreece, Italy, Portugal
N = 902N = 125N = 462N = 315
Demographics:
 Age (years) (mean ± SD)71.2 ± 11.370.2 ± 12.269.1 ± 10.774.5 ± 11.0<0.0001
 Age (years) (median, IQR)73 (64–79)73 (64–78)69 (62–77)76 (69–82)
 Female gender (%)41.036.844.238.10.1414
Type of AF:
 First detected (%)36.530.532.744.2<0.0001
 Paroxysmal (%)19.040.718.811.2
 Persistent (%)12.59.312.513.8
 Long standing persistent (%)2.42.54.00.0
 Permanent (%)29.517.032.030.8
Reason for visit:
 AF (%)31.648.833.122.5<0.0001
 Acute myocardial infarction (%)8.27.26.710.8
 Valvular heart disease (%)7.14.04.811.8
 Hypertension (%)1.31.62.20.0
 Heart failure (%)31.618.434.233.0
 Other coronary artery disease (%)8.95.610.67.6
 Other cardiac (%)8.511.25.811.4
 Other non-cardiac reason (%)2.83.22.62.9
Past medical history
 Ischaemic thromboembolic complications (%)16.613.015.819.20.2350
 Previous TIA (%)4.83.32.68.60.0005
 Previous stroke (%)7.96.58.97.00.5224
 Chronic heart failure (%)63.434.872.760.1<0.0001
 Hypertension (%)74.156.875.978.2<0.0001
 Coronary artery disease (%)47.641.849.646.80.3629
 Peripheral vascular disease (%)15.02.910.825.2<0.0001
 Diabetes mellitus (%)26.722.427.627.10.5014
 Haemorrhagic events (%)9.23.36.115.9<0.0001
 Malignancy (%)4.65.73.55.70.3078
 Chronic kidney disease (%)21.66.422.526.4<0.0001
CHADS2 score:
 06.620.05.03.8<0.0001
 118.621.618.817.1
 ≥274.758.476.279.1
CHAD2DS2-VASc score:
 02.16.42.00.6<0.0001
 15.812.85.04.1
 ≥292.180.893.095.3
HAS-BLED score
 0–279.995.282.070.8<0.0001
 ≥320.14.818.029.2
Antithrombotic treatment at discharge:
 None and Unknown2.77.22.41.30.0064
 OAC alone53.456.854.650.5
 AP alone14.113.615.412.4
 OAC + AP21.415.220.125.7
 Othera8.47.27.610.2
Initial management strategy:
 Rate control only (%)63.546.458.477.8<0.0001
 Rate and rhythm control (%)24.636.832.08.9
 Rhythm control only (%)5.56.47.62.2
 Observation (%)6.310.42.011.1
 WholecohortWestEastSouthP-value
Belgium, Denmark, Netherlands, NorwayPoland, RomaniaGreece, Italy, Portugal
N = 902N = 125N = 462N = 315
Demographics:
 Age (years) (mean ± SD)71.2 ± 11.370.2 ± 12.269.1 ± 10.774.5 ± 11.0<0.0001
 Age (years) (median, IQR)73 (64–79)73 (64–78)69 (62–77)76 (69–82)
 Female gender (%)41.036.844.238.10.1414
Type of AF:
 First detected (%)36.530.532.744.2<0.0001
 Paroxysmal (%)19.040.718.811.2
 Persistent (%)12.59.312.513.8
 Long standing persistent (%)2.42.54.00.0
 Permanent (%)29.517.032.030.8
Reason for visit:
 AF (%)31.648.833.122.5<0.0001
 Acute myocardial infarction (%)8.27.26.710.8
 Valvular heart disease (%)7.14.04.811.8
 Hypertension (%)1.31.62.20.0
 Heart failure (%)31.618.434.233.0
 Other coronary artery disease (%)8.95.610.67.6
 Other cardiac (%)8.511.25.811.4
 Other non-cardiac reason (%)2.83.22.62.9
Past medical history
 Ischaemic thromboembolic complications (%)16.613.015.819.20.2350
 Previous TIA (%)4.83.32.68.60.0005
 Previous stroke (%)7.96.58.97.00.5224
 Chronic heart failure (%)63.434.872.760.1<0.0001
 Hypertension (%)74.156.875.978.2<0.0001
 Coronary artery disease (%)47.641.849.646.80.3629
 Peripheral vascular disease (%)15.02.910.825.2<0.0001
 Diabetes mellitus (%)26.722.427.627.10.5014
 Haemorrhagic events (%)9.23.36.115.9<0.0001
 Malignancy (%)4.65.73.55.70.3078
 Chronic kidney disease (%)21.66.422.526.4<0.0001
CHADS2 score:
 06.620.05.03.8<0.0001
 118.621.618.817.1
 ≥274.758.476.279.1
CHAD2DS2-VASc score:
 02.16.42.00.6<0.0001
 15.812.85.04.1
 ≥292.180.893.095.3
HAS-BLED score
 0–279.995.282.070.8<0.0001
 ≥320.14.818.029.2
Antithrombotic treatment at discharge:
 None and Unknown2.77.22.41.30.0064
 OAC alone53.456.854.650.5
 AP alone14.113.615.412.4
 OAC + AP21.415.220.125.7
 Othera8.47.27.610.2
Initial management strategy:
 Rate control only (%)63.546.458.477.8<0.0001
 Rate and rhythm control (%)24.636.832.08.9
 Rhythm control only (%)5.56.47.62.2
 Observation (%)6.310.42.011.1

aOthers include: OAC + other ATT, AP + other ATT, OAC + AP + other ATT and Other ATT (fondaparinux, LMW heparin, UF heparin, other).

Antithrombotic drug prescription at inclusion and at discharge in patients undergoing cardioversion or ablation. (A) Pharmacological cardioversion by zone. (B) Electrical cardioversion by zone. (C) Catheter ablation by zone.
Figure 1

Antithrombotic drug prescription at inclusion and at discharge in patients undergoing cardioversion or ablation. (A) Pharmacological cardioversion by zone. (B) Electrical cardioversion by zone. (C) Catheter ablation by zone.

Previous stroke/thromboembolism, coronary artery disease, diabetes, or malignancy were not significantly different between regions, but previous transient ischaemic attack (TIA) was more prevalent in South countries. Chronic heart failure was more common in East countries (P < 0.0001), while hypertension and peripheral artery disease were more common in South countries (both P < 0.0001). Previous bleeding and chronic kidney disease were more common in South countries (both P < 0.0001).

The proportion with a CHADS2 score of ≥2 was highest in East and South countries (76.2 and 79.1%, respectively) compared with 58.4% in West countries. A CHA2DS2-VASc score of ≥2 was also highest in East and South countries (93.0 and 95.3%, respectively) compared with 80.8% in West countries (P < 0.0001). A HAS-BLED score of ≥3 was also highest in East and South countries (18.0 and 29.2%, respectively) compared with 4.8% in West countries (P < 0.0001).

Oral anticoagulation (OAC) use (either as OAC or OAC plus antiplatelet therapy) in West, East, and South countries was 72.0, 74.7, and 76.2%, respectively. Antiplatelet therapy use alone was used in 13.6, 15.4, and 12.4%, respectively. An initial rate control strategy only was most common in South countries (77.8%) (P < 0.0001).

Determinants of antithrombotic therapy use by region

The factors predictive of OAC monotherapy [VKAs or Non-vitamin K antagonist oral anticoagulant (NOAC)] prescription in West countries were lack of coronary artery disease (P < 0.0001) and hypertension (P = 0.0275). In East countries, predictive factors were younger age (P = 0.0026), female gender (P = 0.0112), non-valvular heart disease (P = 0.0048), no chronic heart failure (P = 0.0043), lack of coronary/peripheral artery disease (P < 0.0001), and non-rhythm control (P = 0.006). In South countries, female gender (P = 0.0284), no coronary artery disease (P < 0.0001), no diabetes (P = 0.0079), and type of AF (P = 0.0386) were predictive factors (Table 2).

Table 2

Factors associated with prescription of antithrombotic therapy

Odds ratio95% Confidence limits
P-value
(a) Factors associated with prescription of OAC alone (VKAs plus NOACs)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.25430.91271.72360.1621
  Female gender (%)1.04310.74891.45290.8029
  Valvular heart disease (%)0.81330.58281.13510.2241
  Previous TIA/Stroke (%)1.07400.62581.84320.7955
  Chronic heart failure (%)0.75260.50981.11090.1518
  Hypertension (%)1.42271.03921.94770.0275
  CAD (%)0.20210.13740.2974<0.0001
  PAD (%)0.57550.24801.33520.1931
  Diabetes mellitus (%)0.98380.63761.51800.9413
  Type of AF (%) (ref. = first detected)0.75170.52381.07870.1208
  Heart rhythm strategy (%) (ref. = others)0.80590.55231.17590.2625
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.71080.56920.88770.0026
  Female gender (%)1.32661.06611.65060.0112
  Valvular heart disease (%)0.70150.54800.89800.0048
  Previous TIA/Stroke (%)1.41550.94942.11050.0869
  Chronic heart failure (%)0.70540.55490.89670.0043
  Hypertension (%)0.98590.76201.27540.9137
  CAD (%)0.23050.17910.2967<0.0001
  PAD (%)0.46640.32560.6683<0.0001
  Diabetes mellitus (%)0.83780.64891.08160.1742
  Type of AF (%) (ref. = first detected)1.10500.87031.40300.4124
  Heart rhythm strategy (%) (ref. = others)1.71571.16352.52980.0060
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)1.08030.82531.41410.5739
  Female gender (%)1.32521.03001.70500.0284
  Valvular heart disease (%)0.79150.60341.03840.0912
  Previous TIA/Stroke (%)1.19480.79861.78750.3862
  Chronic heart failure (%)0.87930.67791.14060.3324
  Hypertension (%)1.07210.81361.41270.6209
  CAD (%)0.13320.09730.1825<0.0001
  PAD (%)0.74660.53221.04710.0897
  Diabetes mellitus (%)0.66380.49010.89900.0079
  Type of AF (%) (ref. = first detected)0.76370.59140.98620.0386
  Heart rhythm strategy (%) (ref. = others)0.82030.56771.18520.2908
(b) Factors associated with prescription of NOACs only (dabigatran or rivaroxaban)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.10370.73181.66450.6378
  Female gender (%)1.16670.77191.76340.4643
  Valvular heart disease (%)1.13150.75101.70480.5545
  Previous TIA/stroke (%)1.40000.75312.60260.2856
  Chronic heart failure (%)0.85310.51001.42710.5448
  Hypertension (%)1.23450.82121.85580.3106
  CAD (%)0.61520.35691.06060.0782
  PAD (%)1.31160.43583.94690.5475
  Diabetes mellitus (%)1.12090.65521.91750.6769
  Type of AF (%) (ref. = first detected)1.59181.02642.46850.0367
  Heart rhythm strategy (%) (ref. = others)0.74000.43701.25320.2612
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.98280.64641.49410.9352
  Female gender (%)1.11360.73751.68170.6087
  Reason for visit (%) (ref. = atrial fibrillation)1.31280.86401.99470.2012
  Valvular heart disease (%)0.66290.42811.02660.0639
  Previous TIA/stroke (%)2.11921.17553.82060.0108
  Chronic heart failure (%)0.71980.46811.10690.1328
  Hypertension (%)1.26010.75002.11700.3816
  CAD (%)0.50510.31190.81820.0048
  PAD (%)0.59470.27001.30960.1922
  Diabetes mellitus (%)0.97240.59831.58030.9099
  Type of AF (%) (ref. = first detected)1.74631.14532.66270.0089
  Heart rhythm strategy (%) (ref. = others)2.07131.16893.67050.0110
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.35310.19930.62550.0002
  Female gender (%)0.95320.53101.71120.8725
  Valvular heart disease (%)0.28750.15430.5357<0.0001
  Previous TIA/Stroke (%)1.15780.48182.78250.7431
  Chronic heart failure (%)0.56970.28361.14440.1096
  Hypertension (%)0.63910.35271.15820.1371
  CAD (%)0.32810.12650.85070.0161
  PAD (%)0.34780.10681.13240.0668
  Diabetes mellitus (%)0.53360.22401.27100.1498
  Type of AF (%) (ref. = first detected)0.50990.25791.00810.0489
  Heart rhythm strategy (%) (ref. = others)2.34431.19144.61300.0113
(c) Factors associated with prescription of antiplatelet drugs alone
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)0.57950.32791.02410.0578
  Female gender (%)1.19000.66062.14350.5620
  Valvular heart disease (%)1.34900.71742.53650.3513
  Previous TIA/stroke (%)0.58630.17791.93290.6160
  Chronic heart failure (%)1.10330.53092.29280.7922
  Hypertension (%)0.46060.25750.82390.0077
  CAD (%)2.80851.45575.41860.0014
  PAD (%)0.55020.07264.1704>0.9999
  Diabetes mellitus (%)0.72790.30331.74710.4755
  Type of AF (%) (ref. = first detected)1.03940.53182.03140.9100
  Heart rhythm strategy (%) (ref. = rhythm control only)1.52150.80092.89030.1971
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.82911.31512.54390.0003
  Female gender (%)1.23840.91491.67620.1658
  Valvular heart disease (%)0.83590.59941.16570.2903
  Previous TIA/stroke (%)0.67230.36151.25000.2068
  Chronic heart failure (%)0.95890.69011.33240.8026
  Hypertension (%)0.92650.65021.32030.6727
  CAD (%)1.73681.24892.41520.0009
  PAD (%)0.66080.38381.13750.1325
  Diabetes mellitus (%)0.69880.47661.02480.0655
  Type of AF (%) (ref. = first detected)1.71911.25572.35350.0007
  Heart rhythm strategy (%) (ref. = rhythm control only)1.28830.78982.10140.3092
 Zone 3: SOUTH (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.63520.44340.90970.0128
  Female gender (%)1.10780.78141.57060.5652
  Reason for visit (%) (ref. = AF)1.09850.77721.55270.5946
  Valvular heart disease (%)0.82390.56721.19670.3087
  Previous TIA/stroke (%)0.48450.23950.98020.0398
  Chronic heart failure (%)0.29890.18870.4733<0.0001
  Hypertension (%)1.03590.70111.53050.8594
  CAD (%)1.11600.75691.64550.5795
  PAD (%)0.98190.60771.58650.9406
  Diabetes mellitus (%)0.70090.44031.11570.1324
  Type of AF (%) (ref. = first detected)1.19990.84251.70910.3120
  Heart rhythm strategy (%) (ref. = rhythm control only)1.63941.03122.60630.0351
(d) Factors associated with prescription of combination OAC + antiplatelet drugs
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.93561.18673.15720.0073
  Female gender (%)0.88450.55461.41060.6061
  Valvular heart disease (%)1.41070.90732.19330.1253
  Previous TIA/stroke (%)1.17690.58102.38400.6507
  Chronic heart failure (%)1.53970.93832.52640.0859
  Hypertension (%)1.98861.23933.19090.0039
  CAD (%)6.40003.974110.3067<0.0001
  PAD (%)4.60851.929511.00750.0014
  Diabetes mellitus (%)1.51170.87422.61410.1369
  Type of AF (%) (ref. = first detected)0.91320.53971.54540.7352
  Heart rhythm strategy (%) (ref. = rhythm control only)1.15810.68771.95030.5807
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.33141.02471.72980.0318
  Female gender (%)0.69460.53700.89840.0054
  Valvular heart disease (%)2.04711.49142.8098<0.0001
  Previous TIA/stroke (%)0.99220.62601.57240.9733
  Chronic heart failure (%)1.88191.39282.5427<0.0001
  Hypertension (%)1.45461.05891.99830.0202
  CAD (%)5.15073.80396.9744<0.0001
  PAD (%)2.49071.74263.5599<0.0001
  Diabetes mellitus (%)1.60231.20692.12700.0010
  Type of AF (%) (ref. = first detected)0.73890.55410.98540.0390
  Heart rhythm strategy (%) (ref. = rhythm control only)0.44640.25950.76770.0028
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)2.54561.64903.9297<0.0001
  Female gender (%)0.47790.33190.6881<0.0001
  Valvular heart disease (%)1.73611.18902.53500.0040
  Previous TIA/stroke (%)1.60330.99882.57390.0489
  Chronic heart failure (%)2.57861.84963.5949<0.0001
  Hypertension (%)1.73331.15452.60230.0074
  CAD (%)19.788612.786930.6241<0.0001
  PAD (%)2.16231.45873.2054<0.0001
  Diabetes mellitus (%)2.07721.44462.9868<0.0001
  Type of AF (%) (ref. = first detected)0.95480.67861.34330.7905
  Heart rhythm strategy (%) (ref. = rhythm control only)0.56020.31371.00050.0475
Odds ratio95% Confidence limits
P-value
(a) Factors associated with prescription of OAC alone (VKAs plus NOACs)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.25430.91271.72360.1621
  Female gender (%)1.04310.74891.45290.8029
  Valvular heart disease (%)0.81330.58281.13510.2241
  Previous TIA/Stroke (%)1.07400.62581.84320.7955
  Chronic heart failure (%)0.75260.50981.11090.1518
  Hypertension (%)1.42271.03921.94770.0275
  CAD (%)0.20210.13740.2974<0.0001
  PAD (%)0.57550.24801.33520.1931
  Diabetes mellitus (%)0.98380.63761.51800.9413
  Type of AF (%) (ref. = first detected)0.75170.52381.07870.1208
  Heart rhythm strategy (%) (ref. = others)0.80590.55231.17590.2625
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.71080.56920.88770.0026
  Female gender (%)1.32661.06611.65060.0112
  Valvular heart disease (%)0.70150.54800.89800.0048
  Previous TIA/Stroke (%)1.41550.94942.11050.0869
  Chronic heart failure (%)0.70540.55490.89670.0043
  Hypertension (%)0.98590.76201.27540.9137
  CAD (%)0.23050.17910.2967<0.0001
  PAD (%)0.46640.32560.6683<0.0001
  Diabetes mellitus (%)0.83780.64891.08160.1742
  Type of AF (%) (ref. = first detected)1.10500.87031.40300.4124
  Heart rhythm strategy (%) (ref. = others)1.71571.16352.52980.0060
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)1.08030.82531.41410.5739
  Female gender (%)1.32521.03001.70500.0284
  Valvular heart disease (%)0.79150.60341.03840.0912
  Previous TIA/Stroke (%)1.19480.79861.78750.3862
  Chronic heart failure (%)0.87930.67791.14060.3324
  Hypertension (%)1.07210.81361.41270.6209
  CAD (%)0.13320.09730.1825<0.0001
  PAD (%)0.74660.53221.04710.0897
  Diabetes mellitus (%)0.66380.49010.89900.0079
  Type of AF (%) (ref. = first detected)0.76370.59140.98620.0386
  Heart rhythm strategy (%) (ref. = others)0.82030.56771.18520.2908
(b) Factors associated with prescription of NOACs only (dabigatran or rivaroxaban)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.10370.73181.66450.6378
  Female gender (%)1.16670.77191.76340.4643
  Valvular heart disease (%)1.13150.75101.70480.5545
  Previous TIA/stroke (%)1.40000.75312.60260.2856
  Chronic heart failure (%)0.85310.51001.42710.5448
  Hypertension (%)1.23450.82121.85580.3106
  CAD (%)0.61520.35691.06060.0782
  PAD (%)1.31160.43583.94690.5475
  Diabetes mellitus (%)1.12090.65521.91750.6769
  Type of AF (%) (ref. = first detected)1.59181.02642.46850.0367
  Heart rhythm strategy (%) (ref. = others)0.74000.43701.25320.2612
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.98280.64641.49410.9352
  Female gender (%)1.11360.73751.68170.6087
  Reason for visit (%) (ref. = atrial fibrillation)1.31280.86401.99470.2012
  Valvular heart disease (%)0.66290.42811.02660.0639
  Previous TIA/stroke (%)2.11921.17553.82060.0108
  Chronic heart failure (%)0.71980.46811.10690.1328
  Hypertension (%)1.26010.75002.11700.3816
  CAD (%)0.50510.31190.81820.0048
  PAD (%)0.59470.27001.30960.1922
  Diabetes mellitus (%)0.97240.59831.58030.9099
  Type of AF (%) (ref. = first detected)1.74631.14532.66270.0089
  Heart rhythm strategy (%) (ref. = others)2.07131.16893.67050.0110
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.35310.19930.62550.0002
  Female gender (%)0.95320.53101.71120.8725
  Valvular heart disease (%)0.28750.15430.5357<0.0001
  Previous TIA/Stroke (%)1.15780.48182.78250.7431
  Chronic heart failure (%)0.56970.28361.14440.1096
  Hypertension (%)0.63910.35271.15820.1371
  CAD (%)0.32810.12650.85070.0161
  PAD (%)0.34780.10681.13240.0668
  Diabetes mellitus (%)0.53360.22401.27100.1498
  Type of AF (%) (ref. = first detected)0.50990.25791.00810.0489
  Heart rhythm strategy (%) (ref. = others)2.34431.19144.61300.0113
(c) Factors associated with prescription of antiplatelet drugs alone
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)0.57950.32791.02410.0578
  Female gender (%)1.19000.66062.14350.5620
  Valvular heart disease (%)1.34900.71742.53650.3513
  Previous TIA/stroke (%)0.58630.17791.93290.6160
  Chronic heart failure (%)1.10330.53092.29280.7922
  Hypertension (%)0.46060.25750.82390.0077
  CAD (%)2.80851.45575.41860.0014
  PAD (%)0.55020.07264.1704>0.9999
  Diabetes mellitus (%)0.72790.30331.74710.4755
  Type of AF (%) (ref. = first detected)1.03940.53182.03140.9100
  Heart rhythm strategy (%) (ref. = rhythm control only)1.52150.80092.89030.1971
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.82911.31512.54390.0003
  Female gender (%)1.23840.91491.67620.1658
  Valvular heart disease (%)0.83590.59941.16570.2903
  Previous TIA/stroke (%)0.67230.36151.25000.2068
  Chronic heart failure (%)0.95890.69011.33240.8026
  Hypertension (%)0.92650.65021.32030.6727
  CAD (%)1.73681.24892.41520.0009
  PAD (%)0.66080.38381.13750.1325
  Diabetes mellitus (%)0.69880.47661.02480.0655
  Type of AF (%) (ref. = first detected)1.71911.25572.35350.0007
  Heart rhythm strategy (%) (ref. = rhythm control only)1.28830.78982.10140.3092
 Zone 3: SOUTH (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.63520.44340.90970.0128
  Female gender (%)1.10780.78141.57060.5652
  Reason for visit (%) (ref. = AF)1.09850.77721.55270.5946
  Valvular heart disease (%)0.82390.56721.19670.3087
  Previous TIA/stroke (%)0.48450.23950.98020.0398
  Chronic heart failure (%)0.29890.18870.4733<0.0001
  Hypertension (%)1.03590.70111.53050.8594
  CAD (%)1.11600.75691.64550.5795
  PAD (%)0.98190.60771.58650.9406
  Diabetes mellitus (%)0.70090.44031.11570.1324
  Type of AF (%) (ref. = first detected)1.19990.84251.70910.3120
  Heart rhythm strategy (%) (ref. = rhythm control only)1.63941.03122.60630.0351
(d) Factors associated with prescription of combination OAC + antiplatelet drugs
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.93561.18673.15720.0073
  Female gender (%)0.88450.55461.41060.6061
  Valvular heart disease (%)1.41070.90732.19330.1253
  Previous TIA/stroke (%)1.17690.58102.38400.6507
  Chronic heart failure (%)1.53970.93832.52640.0859
  Hypertension (%)1.98861.23933.19090.0039
  CAD (%)6.40003.974110.3067<0.0001
  PAD (%)4.60851.929511.00750.0014
  Diabetes mellitus (%)1.51170.87422.61410.1369
  Type of AF (%) (ref. = first detected)0.91320.53971.54540.7352
  Heart rhythm strategy (%) (ref. = rhythm control only)1.15810.68771.95030.5807
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.33141.02471.72980.0318
  Female gender (%)0.69460.53700.89840.0054
  Valvular heart disease (%)2.04711.49142.8098<0.0001
  Previous TIA/stroke (%)0.99220.62601.57240.9733
  Chronic heart failure (%)1.88191.39282.5427<0.0001
  Hypertension (%)1.45461.05891.99830.0202
  CAD (%)5.15073.80396.9744<0.0001
  PAD (%)2.49071.74263.5599<0.0001
  Diabetes mellitus (%)1.60231.20692.12700.0010
  Type of AF (%) (ref. = first detected)0.73890.55410.98540.0390
  Heart rhythm strategy (%) (ref. = rhythm control only)0.44640.25950.76770.0028
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)2.54561.64903.9297<0.0001
  Female gender (%)0.47790.33190.6881<0.0001
  Valvular heart disease (%)1.73611.18902.53500.0040
  Previous TIA/stroke (%)1.60330.99882.57390.0489
  Chronic heart failure (%)2.57861.84963.5949<0.0001
  Hypertension (%)1.73331.15452.60230.0074
  CAD (%)19.788612.786930.6241<0.0001
  PAD (%)2.16231.45873.2054<0.0001
  Diabetes mellitus (%)2.07721.44462.9868<0.0001
  Type of AF (%) (ref. = first detected)0.95480.67861.34330.7905
  Heart rhythm strategy (%) (ref. = rhythm control only)0.56020.31371.00050.0475

CAD, coronary artery disease; PAD, peripheral vascular disease.

Table 2

Factors associated with prescription of antithrombotic therapy

Odds ratio95% Confidence limits
P-value
(a) Factors associated with prescription of OAC alone (VKAs plus NOACs)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.25430.91271.72360.1621
  Female gender (%)1.04310.74891.45290.8029
  Valvular heart disease (%)0.81330.58281.13510.2241
  Previous TIA/Stroke (%)1.07400.62581.84320.7955
  Chronic heart failure (%)0.75260.50981.11090.1518
  Hypertension (%)1.42271.03921.94770.0275
  CAD (%)0.20210.13740.2974<0.0001
  PAD (%)0.57550.24801.33520.1931
  Diabetes mellitus (%)0.98380.63761.51800.9413
  Type of AF (%) (ref. = first detected)0.75170.52381.07870.1208
  Heart rhythm strategy (%) (ref. = others)0.80590.55231.17590.2625
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.71080.56920.88770.0026
  Female gender (%)1.32661.06611.65060.0112
  Valvular heart disease (%)0.70150.54800.89800.0048
  Previous TIA/Stroke (%)1.41550.94942.11050.0869
  Chronic heart failure (%)0.70540.55490.89670.0043
  Hypertension (%)0.98590.76201.27540.9137
  CAD (%)0.23050.17910.2967<0.0001
  PAD (%)0.46640.32560.6683<0.0001
  Diabetes mellitus (%)0.83780.64891.08160.1742
  Type of AF (%) (ref. = first detected)1.10500.87031.40300.4124
  Heart rhythm strategy (%) (ref. = others)1.71571.16352.52980.0060
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)1.08030.82531.41410.5739
  Female gender (%)1.32521.03001.70500.0284
  Valvular heart disease (%)0.79150.60341.03840.0912
  Previous TIA/Stroke (%)1.19480.79861.78750.3862
  Chronic heart failure (%)0.87930.67791.14060.3324
  Hypertension (%)1.07210.81361.41270.6209
  CAD (%)0.13320.09730.1825<0.0001
  PAD (%)0.74660.53221.04710.0897
  Diabetes mellitus (%)0.66380.49010.89900.0079
  Type of AF (%) (ref. = first detected)0.76370.59140.98620.0386
  Heart rhythm strategy (%) (ref. = others)0.82030.56771.18520.2908
(b) Factors associated with prescription of NOACs only (dabigatran or rivaroxaban)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.10370.73181.66450.6378
  Female gender (%)1.16670.77191.76340.4643
  Valvular heart disease (%)1.13150.75101.70480.5545
  Previous TIA/stroke (%)1.40000.75312.60260.2856
  Chronic heart failure (%)0.85310.51001.42710.5448
  Hypertension (%)1.23450.82121.85580.3106
  CAD (%)0.61520.35691.06060.0782
  PAD (%)1.31160.43583.94690.5475
  Diabetes mellitus (%)1.12090.65521.91750.6769
  Type of AF (%) (ref. = first detected)1.59181.02642.46850.0367
  Heart rhythm strategy (%) (ref. = others)0.74000.43701.25320.2612
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.98280.64641.49410.9352
  Female gender (%)1.11360.73751.68170.6087
  Reason for visit (%) (ref. = atrial fibrillation)1.31280.86401.99470.2012
  Valvular heart disease (%)0.66290.42811.02660.0639
  Previous TIA/stroke (%)2.11921.17553.82060.0108
  Chronic heart failure (%)0.71980.46811.10690.1328
  Hypertension (%)1.26010.75002.11700.3816
  CAD (%)0.50510.31190.81820.0048
  PAD (%)0.59470.27001.30960.1922
  Diabetes mellitus (%)0.97240.59831.58030.9099
  Type of AF (%) (ref. = first detected)1.74631.14532.66270.0089
  Heart rhythm strategy (%) (ref. = others)2.07131.16893.67050.0110
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.35310.19930.62550.0002
  Female gender (%)0.95320.53101.71120.8725
  Valvular heart disease (%)0.28750.15430.5357<0.0001
  Previous TIA/Stroke (%)1.15780.48182.78250.7431
  Chronic heart failure (%)0.56970.28361.14440.1096
  Hypertension (%)0.63910.35271.15820.1371
  CAD (%)0.32810.12650.85070.0161
  PAD (%)0.34780.10681.13240.0668
  Diabetes mellitus (%)0.53360.22401.27100.1498
  Type of AF (%) (ref. = first detected)0.50990.25791.00810.0489
  Heart rhythm strategy (%) (ref. = others)2.34431.19144.61300.0113
(c) Factors associated with prescription of antiplatelet drugs alone
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)0.57950.32791.02410.0578
  Female gender (%)1.19000.66062.14350.5620
  Valvular heart disease (%)1.34900.71742.53650.3513
  Previous TIA/stroke (%)0.58630.17791.93290.6160
  Chronic heart failure (%)1.10330.53092.29280.7922
  Hypertension (%)0.46060.25750.82390.0077
  CAD (%)2.80851.45575.41860.0014
  PAD (%)0.55020.07264.1704>0.9999
  Diabetes mellitus (%)0.72790.30331.74710.4755
  Type of AF (%) (ref. = first detected)1.03940.53182.03140.9100
  Heart rhythm strategy (%) (ref. = rhythm control only)1.52150.80092.89030.1971
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.82911.31512.54390.0003
  Female gender (%)1.23840.91491.67620.1658
  Valvular heart disease (%)0.83590.59941.16570.2903
  Previous TIA/stroke (%)0.67230.36151.25000.2068
  Chronic heart failure (%)0.95890.69011.33240.8026
  Hypertension (%)0.92650.65021.32030.6727
  CAD (%)1.73681.24892.41520.0009
  PAD (%)0.66080.38381.13750.1325
  Diabetes mellitus (%)0.69880.47661.02480.0655
  Type of AF (%) (ref. = first detected)1.71911.25572.35350.0007
  Heart rhythm strategy (%) (ref. = rhythm control only)1.28830.78982.10140.3092
 Zone 3: SOUTH (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.63520.44340.90970.0128
  Female gender (%)1.10780.78141.57060.5652
  Reason for visit (%) (ref. = AF)1.09850.77721.55270.5946
  Valvular heart disease (%)0.82390.56721.19670.3087
  Previous TIA/stroke (%)0.48450.23950.98020.0398
  Chronic heart failure (%)0.29890.18870.4733<0.0001
  Hypertension (%)1.03590.70111.53050.8594
  CAD (%)1.11600.75691.64550.5795
  PAD (%)0.98190.60771.58650.9406
  Diabetes mellitus (%)0.70090.44031.11570.1324
  Type of AF (%) (ref. = first detected)1.19990.84251.70910.3120
  Heart rhythm strategy (%) (ref. = rhythm control only)1.63941.03122.60630.0351
(d) Factors associated with prescription of combination OAC + antiplatelet drugs
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.93561.18673.15720.0073
  Female gender (%)0.88450.55461.41060.6061
  Valvular heart disease (%)1.41070.90732.19330.1253
  Previous TIA/stroke (%)1.17690.58102.38400.6507
  Chronic heart failure (%)1.53970.93832.52640.0859
  Hypertension (%)1.98861.23933.19090.0039
  CAD (%)6.40003.974110.3067<0.0001
  PAD (%)4.60851.929511.00750.0014
  Diabetes mellitus (%)1.51170.87422.61410.1369
  Type of AF (%) (ref. = first detected)0.91320.53971.54540.7352
  Heart rhythm strategy (%) (ref. = rhythm control only)1.15810.68771.95030.5807
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.33141.02471.72980.0318
  Female gender (%)0.69460.53700.89840.0054
  Valvular heart disease (%)2.04711.49142.8098<0.0001
  Previous TIA/stroke (%)0.99220.62601.57240.9733
  Chronic heart failure (%)1.88191.39282.5427<0.0001
  Hypertension (%)1.45461.05891.99830.0202
  CAD (%)5.15073.80396.9744<0.0001
  PAD (%)2.49071.74263.5599<0.0001
  Diabetes mellitus (%)1.60231.20692.12700.0010
  Type of AF (%) (ref. = first detected)0.73890.55410.98540.0390
  Heart rhythm strategy (%) (ref. = rhythm control only)0.44640.25950.76770.0028
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)2.54561.64903.9297<0.0001
  Female gender (%)0.47790.33190.6881<0.0001
  Valvular heart disease (%)1.73611.18902.53500.0040
  Previous TIA/stroke (%)1.60330.99882.57390.0489
  Chronic heart failure (%)2.57861.84963.5949<0.0001
  Hypertension (%)1.73331.15452.60230.0074
  CAD (%)19.788612.786930.6241<0.0001
  PAD (%)2.16231.45873.2054<0.0001
  Diabetes mellitus (%)2.07721.44462.9868<0.0001
  Type of AF (%) (ref. = first detected)0.95480.67861.34330.7905
  Heart rhythm strategy (%) (ref. = rhythm control only)0.56020.31371.00050.0475
Odds ratio95% Confidence limits
P-value
(a) Factors associated with prescription of OAC alone (VKAs plus NOACs)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.25430.91271.72360.1621
  Female gender (%)1.04310.74891.45290.8029
  Valvular heart disease (%)0.81330.58281.13510.2241
  Previous TIA/Stroke (%)1.07400.62581.84320.7955
  Chronic heart failure (%)0.75260.50981.11090.1518
  Hypertension (%)1.42271.03921.94770.0275
  CAD (%)0.20210.13740.2974<0.0001
  PAD (%)0.57550.24801.33520.1931
  Diabetes mellitus (%)0.98380.63761.51800.9413
  Type of AF (%) (ref. = first detected)0.75170.52381.07870.1208
  Heart rhythm strategy (%) (ref. = others)0.80590.55231.17590.2625
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.71080.56920.88770.0026
  Female gender (%)1.32661.06611.65060.0112
  Valvular heart disease (%)0.70150.54800.89800.0048
  Previous TIA/Stroke (%)1.41550.94942.11050.0869
  Chronic heart failure (%)0.70540.55490.89670.0043
  Hypertension (%)0.98590.76201.27540.9137
  CAD (%)0.23050.17910.2967<0.0001
  PAD (%)0.46640.32560.6683<0.0001
  Diabetes mellitus (%)0.83780.64891.08160.1742
  Type of AF (%) (ref. = first detected)1.10500.87031.40300.4124
  Heart rhythm strategy (%) (ref. = others)1.71571.16352.52980.0060
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)1.08030.82531.41410.5739
  Female gender (%)1.32521.03001.70500.0284
  Valvular heart disease (%)0.79150.60341.03840.0912
  Previous TIA/Stroke (%)1.19480.79861.78750.3862
  Chronic heart failure (%)0.87930.67791.14060.3324
  Hypertension (%)1.07210.81361.41270.6209
  CAD (%)0.13320.09730.1825<0.0001
  PAD (%)0.74660.53221.04710.0897
  Diabetes mellitus (%)0.66380.49010.89900.0079
  Type of AF (%) (ref. = first detected)0.76370.59140.98620.0386
  Heart rhythm strategy (%) (ref. = others)0.82030.56771.18520.2908
(b) Factors associated with prescription of NOACs only (dabigatran or rivaroxaban)
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.10370.73181.66450.6378
  Female gender (%)1.16670.77191.76340.4643
  Valvular heart disease (%)1.13150.75101.70480.5545
  Previous TIA/stroke (%)1.40000.75312.60260.2856
  Chronic heart failure (%)0.85310.51001.42710.5448
  Hypertension (%)1.23450.82121.85580.3106
  CAD (%)0.61520.35691.06060.0782
  PAD (%)1.31160.43583.94690.5475
  Diabetes mellitus (%)1.12090.65521.91750.6769
  Type of AF (%) (ref. = first detected)1.59181.02642.46850.0367
  Heart rhythm strategy (%) (ref. = others)0.74000.43701.25320.2612
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)0.98280.64641.49410.9352
  Female gender (%)1.11360.73751.68170.6087
  Reason for visit (%) (ref. = atrial fibrillation)1.31280.86401.99470.2012
  Valvular heart disease (%)0.66290.42811.02660.0639
  Previous TIA/stroke (%)2.11921.17553.82060.0108
  Chronic heart failure (%)0.71980.46811.10690.1328
  Hypertension (%)1.26010.75002.11700.3816
  CAD (%)0.50510.31190.81820.0048
  PAD (%)0.59470.27001.30960.1922
  Diabetes mellitus (%)0.97240.59831.58030.9099
  Type of AF (%) (ref. = first detected)1.74631.14532.66270.0089
  Heart rhythm strategy (%) (ref. = others)2.07131.16893.67050.0110
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.35310.19930.62550.0002
  Female gender (%)0.95320.53101.71120.8725
  Valvular heart disease (%)0.28750.15430.5357<0.0001
  Previous TIA/Stroke (%)1.15780.48182.78250.7431
  Chronic heart failure (%)0.56970.28361.14440.1096
  Hypertension (%)0.63910.35271.15820.1371
  CAD (%)0.32810.12650.85070.0161
  PAD (%)0.34780.10681.13240.0668
  Diabetes mellitus (%)0.53360.22401.27100.1498
  Type of AF (%) (ref. = first detected)0.50990.25791.00810.0489
  Heart rhythm strategy (%) (ref. = others)2.34431.19144.61300.0113
(c) Factors associated with prescription of antiplatelet drugs alone
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)0.57950.32791.02410.0578
  Female gender (%)1.19000.66062.14350.5620
  Valvular heart disease (%)1.34900.71742.53650.3513
  Previous TIA/stroke (%)0.58630.17791.93290.6160
  Chronic heart failure (%)1.10330.53092.29280.7922
  Hypertension (%)0.46060.25750.82390.0077
  CAD (%)2.80851.45575.41860.0014
  PAD (%)0.55020.07264.1704>0.9999
  Diabetes mellitus (%)0.72790.30331.74710.4755
  Type of AF (%) (ref. = first detected)1.03940.53182.03140.9100
  Heart rhythm strategy (%) (ref. = rhythm control only)1.52150.80092.89030.1971
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.82911.31512.54390.0003
  Female gender (%)1.23840.91491.67620.1658
  Valvular heart disease (%)0.83590.59941.16570.2903
  Previous TIA/stroke (%)0.67230.36151.25000.2068
  Chronic heart failure (%)0.95890.69011.33240.8026
  Hypertension (%)0.92650.65021.32030.6727
  CAD (%)1.73681.24892.41520.0009
  PAD (%)0.66080.38381.13750.1325
  Diabetes mellitus (%)0.69880.47661.02480.0655
  Type of AF (%) (ref. = first detected)1.71911.25572.35350.0007
  Heart rhythm strategy (%) (ref. = rhythm control only)1.28830.78982.10140.3092
 Zone 3: SOUTH (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)0.63520.44340.90970.0128
  Female gender (%)1.10780.78141.57060.5652
  Reason for visit (%) (ref. = AF)1.09850.77721.55270.5946
  Valvular heart disease (%)0.82390.56721.19670.3087
  Previous TIA/stroke (%)0.48450.23950.98020.0398
  Chronic heart failure (%)0.29890.18870.4733<0.0001
  Hypertension (%)1.03590.70111.53050.8594
  CAD (%)1.11600.75691.64550.5795
  PAD (%)0.98190.60771.58650.9406
  Diabetes mellitus (%)0.70090.44031.11570.1324
  Type of AF (%) (ref. = first detected)1.19990.84251.70910.3120
  Heart rhythm strategy (%) (ref. = rhythm control only)1.63941.03122.60630.0351
(d) Factors associated with prescription of combination OAC + antiplatelet drugs
 Zone 1: West (Belgium, Denmark, Netherlands, Norway)
  Age (%) (ref. = ≤65 years)1.93561.18673.15720.0073
  Female gender (%)0.88450.55461.41060.6061
  Valvular heart disease (%)1.41070.90732.19330.1253
  Previous TIA/stroke (%)1.17690.58102.38400.6507
  Chronic heart failure (%)1.53970.93832.52640.0859
  Hypertension (%)1.98861.23933.19090.0039
  CAD (%)6.40003.974110.3067<0.0001
  PAD (%)4.60851.929511.00750.0014
  Diabetes mellitus (%)1.51170.87422.61410.1369
  Type of AF (%) (ref. = first detected)0.91320.53971.54540.7352
  Heart rhythm strategy (%) (ref. = rhythm control only)1.15810.68771.95030.5807
 Zone 2: East (Poland, Romania)
  Age (%) (ref. = ≤65 years)1.33141.02471.72980.0318
  Female gender (%)0.69460.53700.89840.0054
  Valvular heart disease (%)2.04711.49142.8098<0.0001
  Previous TIA/stroke (%)0.99220.62601.57240.9733
  Chronic heart failure (%)1.88191.39282.5427<0.0001
  Hypertension (%)1.45461.05891.99830.0202
  CAD (%)5.15073.80396.9744<0.0001
  PAD (%)2.49071.74263.5599<0.0001
  Diabetes mellitus (%)1.60231.20692.12700.0010
  Type of AF (%) (ref. = first detected)0.73890.55410.98540.0390
  Heart rhythm strategy (%) (ref. = rhythm control only)0.44640.25950.76770.0028
 Zone 3: South (Greece, Italy, Portugal)
  Age (%) (ref. = ≤65 years)2.54561.64903.9297<0.0001
  Female gender (%)0.47790.33190.6881<0.0001
  Valvular heart disease (%)1.73611.18902.53500.0040
  Previous TIA/stroke (%)1.60330.99882.57390.0489
  Chronic heart failure (%)2.57861.84963.5949<0.0001
  Hypertension (%)1.73331.15452.60230.0074
  CAD (%)19.788612.786930.6241<0.0001
  PAD (%)2.16231.45873.2054<0.0001
  Diabetes mellitus (%)2.07721.44462.9868<0.0001
  Type of AF (%) (ref. = first detected)0.95480.67861.34330.7905
  Heart rhythm strategy (%) (ref. = rhythm control only)0.56020.31371.00050.0475

CAD, coronary artery disease; PAD, peripheral vascular disease.

Determinants of NOAC use in the East were previous TIA/stroke (P = 0.0108), no coronary artery disease (P = 0.0048), type of AF (P = 0.0089), and non-rhythm control (P = 0.0110). In the South, NOAC use was more common with younger age (P = 0.0002), non-valvular heart disease (P < 0.0001), no coronary artery disease (P = 0.0161), type of AF (P = 0.0489), and non-rhythm control (P = 0.0113) (Table 2).

Determinants of antiplatelet therapy use in West countries were coronary artery disease (P = 0.0014) and lack of hypertension (P = 0.0077). In East countries, older age (P = 0.0003), coronary artery disease (P = 0.0009), and type of AF (P = 0.0007) determined antiplatelet therapy use. In the South, significant factors were younger age (P = 0.0128), no previous stroke/TIA (P = 0.0398) or heart failure (P < 0.0001), and non-rhythm control (P = 0.0351) (Table 2).

Determinants of combination OAC plus antiplatelet therapy in the West were older age (P = 0.0073), hypertension (P = 0.0039), coronary artery disease (P < 0.0001), and peripheral vascular disease (P = 0.0014). In the East, combination therapy was more common in older patients (P = 0.0318), coronary artery disease (P < 0.0001), and peripheral artery disease (P < 0.0001). In the East countries, combination therapy was more common with older age (P = 0.0318), males (P = 0.0054), valvular heart disease (P < 0.0001), chronic heart failure (P < 0.0001), hypertension (P = 0.0202), coronary artery disease (P < 0.0001), peripheral artery disease (P < 0.0001), diabetes (P = 0.0010), type of AF (P = 0.0390), and non-rhythm control (P = 0.0028). In the South, determinants of combination therapy were older age (P < 0.0001), males (P < 0.0001), valvular heart disease (P = 0.004), previous stroke/TIA (P = 0.0489), chronic heart failure (P < 0.0001), hypertension (P = 0.0074), coronary artery disease (P < 0.0001) and peripheral artery disease (P < 0.0001), diabetes (P < 0.0001), and non-rhythm control (P = 0.0475) (Table 2).

Prevalence of stroke risk factors by region

Apart from age and female sex, the commonest stroke risk factors in the West countries were hypertension (57.1%) and heart failure (21.7%), and in the South countries (73.1 and 37.1%, respectively). In the East, hypertension (76.8%), heart failure (69.6%), and diabetes (23.9%) were the most common (Table 3).

Table 3

Prevalence of stroke risk factors in patients according to the ESC guidelines

 Whole cohort
OAC alone
N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 Heart failure (%)15221.710320.3
 Hypertension (%)43657.132359.6
 Age (%):
  <6527335.518634.0
  65–7428637.221639.5
  ≥7521027.314526.5
 Diabetes mellitus (%)11715.28315.2
 Previous TIA (%)334.3285.2
 Previous stroke (%)435.6285.1
 Ischaemic thromboembolic complications (%)8911.66211.4
 PAD (%)233.5132.9
 Myocardial infarction (MI) (%)8112.6296.2
 Female (%)25833.618533.8
Zone 2: East (Poland, Romania)
 Heart failure (%)89269.643466.1
 Hypertension (%)100076.851376.7
 Age (%):
  <6548236.927541.0
  65–7444133.822633.7
  ≥7538329.317025.3
 Diabetes mellitus (%)31023.914922.4
 Previous TIA (%)312.4172.6
 Previous stroke (%)967.4578.5
 Ischaemic thromboembolic complications (%)16412.79414.1
 PAD (%)14611.4517.7
 Myocardial infarction (MI) (%)17215.5417.4
 Female (%)59445.532848.9
Zone 3: South (Greece, Italy, Portugal)
 Heart failure (%)36737.120235.8
 Hypertension (%)75873.142673.7
 Age (%)
  <6527526.315226.1
  65–7431129.818932.4
  ≥7545843.924241.5
 Diabetes mellitus (%)21120.310117.4
 Previous TIA (%)626.0366.2
 Previous stroke (%)565.4356.0
 Ischaemic thromboembolic complications (%)15214.69416.2
 PAD (%)15915.37913.6
 Myocardial infarction (MI) (%)18619.8438.1
 Female (%)40839.124542.0
 Whole cohort
OAC alone
N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 Heart failure (%)15221.710320.3
 Hypertension (%)43657.132359.6
 Age (%):
  <6527335.518634.0
  65–7428637.221639.5
  ≥7521027.314526.5
 Diabetes mellitus (%)11715.28315.2
 Previous TIA (%)334.3285.2
 Previous stroke (%)435.6285.1
 Ischaemic thromboembolic complications (%)8911.66211.4
 PAD (%)233.5132.9
 Myocardial infarction (MI) (%)8112.6296.2
 Female (%)25833.618533.8
Zone 2: East (Poland, Romania)
 Heart failure (%)89269.643466.1
 Hypertension (%)100076.851376.7
 Age (%):
  <6548236.927541.0
  65–7444133.822633.7
  ≥7538329.317025.3
 Diabetes mellitus (%)31023.914922.4
 Previous TIA (%)312.4172.6
 Previous stroke (%)967.4578.5
 Ischaemic thromboembolic complications (%)16412.79414.1
 PAD (%)14611.4517.7
 Myocardial infarction (MI) (%)17215.5417.4
 Female (%)59445.532848.9
Zone 3: South (Greece, Italy, Portugal)
 Heart failure (%)36737.120235.8
 Hypertension (%)75873.142673.7
 Age (%)
  <6527526.315226.1
  65–7431129.818932.4
  ≥7545843.924241.5
 Diabetes mellitus (%)21120.310117.4
 Previous TIA (%)626.0366.2
 Previous stroke (%)565.4356.0
 Ischaemic thromboembolic complications (%)15214.69416.2
 PAD (%)15915.37913.6
 Myocardial infarction (MI) (%)18619.8438.1
 Female (%)40839.124542.0

PAD, peripheral vascular disease.

Table 3

Prevalence of stroke risk factors in patients according to the ESC guidelines

 Whole cohort
OAC alone
N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 Heart failure (%)15221.710320.3
 Hypertension (%)43657.132359.6
 Age (%):
  <6527335.518634.0
  65–7428637.221639.5
  ≥7521027.314526.5
 Diabetes mellitus (%)11715.28315.2
 Previous TIA (%)334.3285.2
 Previous stroke (%)435.6285.1
 Ischaemic thromboembolic complications (%)8911.66211.4
 PAD (%)233.5132.9
 Myocardial infarction (MI) (%)8112.6296.2
 Female (%)25833.618533.8
Zone 2: East (Poland, Romania)
 Heart failure (%)89269.643466.1
 Hypertension (%)100076.851376.7
 Age (%):
  <6548236.927541.0
  65–7444133.822633.7
  ≥7538329.317025.3
 Diabetes mellitus (%)31023.914922.4
 Previous TIA (%)312.4172.6
 Previous stroke (%)967.4578.5
 Ischaemic thromboembolic complications (%)16412.79414.1
 PAD (%)14611.4517.7
 Myocardial infarction (MI) (%)17215.5417.4
 Female (%)59445.532848.9
Zone 3: South (Greece, Italy, Portugal)
 Heart failure (%)36737.120235.8
 Hypertension (%)75873.142673.7
 Age (%)
  <6527526.315226.1
  65–7431129.818932.4
  ≥7545843.924241.5
 Diabetes mellitus (%)21120.310117.4
 Previous TIA (%)626.0366.2
 Previous stroke (%)565.4356.0
 Ischaemic thromboembolic complications (%)15214.69416.2
 PAD (%)15915.37913.6
 Myocardial infarction (MI) (%)18619.8438.1
 Female (%)40839.124542.0
 Whole cohort
OAC alone
N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 Heart failure (%)15221.710320.3
 Hypertension (%)43657.132359.6
 Age (%):
  <6527335.518634.0
  65–7428637.221639.5
  ≥7521027.314526.5
 Diabetes mellitus (%)11715.28315.2
 Previous TIA (%)334.3285.2
 Previous stroke (%)435.6285.1
 Ischaemic thromboembolic complications (%)8911.66211.4
 PAD (%)233.5132.9
 Myocardial infarction (MI) (%)8112.6296.2
 Female (%)25833.618533.8
Zone 2: East (Poland, Romania)
 Heart failure (%)89269.643466.1
 Hypertension (%)100076.851376.7
 Age (%):
  <6548236.927541.0
  65–7444133.822633.7
  ≥7538329.317025.3
 Diabetes mellitus (%)31023.914922.4
 Previous TIA (%)312.4172.6
 Previous stroke (%)967.4578.5
 Ischaemic thromboembolic complications (%)16412.79414.1
 PAD (%)14611.4517.7
 Myocardial infarction (MI) (%)17215.5417.4
 Female (%)59445.532848.9
Zone 3: South (Greece, Italy, Portugal)
 Heart failure (%)36737.120235.8
 Hypertension (%)75873.142673.7
 Age (%)
  <6527526.315226.1
  65–7431129.818932.4
  ≥7545843.924241.5
 Diabetes mellitus (%)21120.310117.4
 Previous TIA (%)626.0366.2
 Previous stroke (%)565.4356.0
 Ischaemic thromboembolic complications (%)15214.69416.2
 PAD (%)15915.37913.6
 Myocardial infarction (MI) (%)18619.8438.1
 Female (%)40839.124542.0

PAD, peripheral vascular disease.

Antithrombotic therapy use with cardioversion and ablation

Among those patients in whom PCV was performed, OAC (or OAC plus antiplatelet therapy) was used in 80.6% in the West countries, compared with 71.6% in the East and 50.0% in the South countries (Table 4).

Table 4

Antithrombotic prescription at inclusion and at discharge when PCV was either performed at the time of the survey or planned at discharge

 Performed (n = 93)
Planned (n = 5)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown2021.588.600.000.0
 OAC alone4952.75963.4480.05100.0
 Antiplatelet alone1415.166.5120.000.0
 OAC + antiplatelet88.61617.200.000.0
 Othersa22.144.300.000.0
 Total93100.093100.05100.05100.0
Performed (n = 447)Planned (n = 6)
Zone 2: East (Poland, Romania)
 None and unknown18842.0255.6116.600.0
 OAC alone8619.214532.4350.0350.0
 Antiplatelet alone12528.08819.7116.700.0
 OAC + antiplatelet419.217539.2116.7233.3
 Othersa71.6143.100.0116.7
 Total447100.0447100.06100.06100.0
Performed (n = 210)Planned (n = 2)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown7837.13516.7150.000.0
 OAC alone5325.27636.2150.0150.0
 Antiplatelet alone5124.35325.200.000.0
 OAC + antiplatelet178.12913.800.0150.0
 Othersa115.2178.100.000.0
 Total210100.0210100.02100.02100.0
 Performed (n = 93)
Planned (n = 5)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown2021.588.600.000.0
 OAC alone4952.75963.4480.05100.0
 Antiplatelet alone1415.166.5120.000.0
 OAC + antiplatelet88.61617.200.000.0
 Othersa22.144.300.000.0
 Total93100.093100.05100.05100.0
Performed (n = 447)Planned (n = 6)
Zone 2: East (Poland, Romania)
 None and unknown18842.0255.6116.600.0
 OAC alone8619.214532.4350.0350.0
 Antiplatelet alone12528.08819.7116.700.0
 OAC + antiplatelet419.217539.2116.7233.3
 Othersa71.6143.100.0116.7
 Total447100.0447100.06100.06100.0
Performed (n = 210)Planned (n = 2)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown7837.13516.7150.000.0
 OAC alone5325.27636.2150.0150.0
 Antiplatelet alone5124.35325.200.000.0
 OAC + antiplatelet178.12913.800.0150.0
 Othersa115.2178.100.000.0
 Total210100.0210100.02100.02100.0

aOthers include: OAC + Other ATT, AP + Other ATT, OAC + AP + Other ATT and Other ATT (fondaparinux, LMW heparin, UF heparin, other).

Table 4

Antithrombotic prescription at inclusion and at discharge when PCV was either performed at the time of the survey or planned at discharge

 Performed (n = 93)
Planned (n = 5)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown2021.588.600.000.0
 OAC alone4952.75963.4480.05100.0
 Antiplatelet alone1415.166.5120.000.0
 OAC + antiplatelet88.61617.200.000.0
 Othersa22.144.300.000.0
 Total93100.093100.05100.05100.0
Performed (n = 447)Planned (n = 6)
Zone 2: East (Poland, Romania)
 None and unknown18842.0255.6116.600.0
 OAC alone8619.214532.4350.0350.0
 Antiplatelet alone12528.08819.7116.700.0
 OAC + antiplatelet419.217539.2116.7233.3
 Othersa71.6143.100.0116.7
 Total447100.0447100.06100.06100.0
Performed (n = 210)Planned (n = 2)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown7837.13516.7150.000.0
 OAC alone5325.27636.2150.0150.0
 Antiplatelet alone5124.35325.200.000.0
 OAC + antiplatelet178.12913.800.0150.0
 Othersa115.2178.100.000.0
 Total210100.0210100.02100.02100.0
 Performed (n = 93)
Planned (n = 5)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown2021.588.600.000.0
 OAC alone4952.75963.4480.05100.0
 Antiplatelet alone1415.166.5120.000.0
 OAC + antiplatelet88.61617.200.000.0
 Othersa22.144.300.000.0
 Total93100.093100.05100.05100.0
Performed (n = 447)Planned (n = 6)
Zone 2: East (Poland, Romania)
 None and unknown18842.0255.6116.600.0
 OAC alone8619.214532.4350.0350.0
 Antiplatelet alone12528.08819.7116.700.0
 OAC + antiplatelet419.217539.2116.7233.3
 Othersa71.6143.100.0116.7
 Total447100.0447100.06100.06100.0
Performed (n = 210)Planned (n = 2)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown7837.13516.7150.000.0
 OAC alone5325.27636.2150.0150.0
 Antiplatelet alone5124.35325.200.000.0
 OAC + antiplatelet178.12913.800.0150.0
 Othersa115.2178.100.000.0
 Total210100.0210100.02100.02100.0

aOthers include: OAC + Other ATT, AP + Other ATT, OAC + AP + Other ATT and Other ATT (fondaparinux, LMW heparin, UF heparin, other).

For ECV, the corresponding figures were 87.0, 88.2, and 81.6%, respectively (Table 5). For the patients undergoing ablation, the corresponding figures by region were 94.2, 76.2, and 87.9%, respectively (Table 6).

Table 5

Antithrombotic prescription at inclusion and at discharge when ECV were either performed at the time of the survey or planned at discharge

 Performed (n = 253)
Planned (n = 48)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and Unknown207.993.51327.112.1
 OAC alone18372.318874.32041.73777.1
 Antiplatelet alone155.9114.41020.800.0
 OAC + antiplatelet3112.33212.748.3510.4
 Othersa41.6135.112.1510.4
 Total253100.0253100.048100.048100.0
Performed (n = 153)Planned (n = 19)
Zone 2: East (Poland, Romania)
 None and Unknown1610.432.0631.600.0
 OAC alone10065.410971.2736.81789.4
 Antiplatelet alone127.885.2526.300.0
 OAC + antiplatelet2415.72617.015.315.3
 Othersa10.774.600.015.3
 Total153100.0153100.019100.019100.0
Performed (n = 206)Planned (n = 24)
Zone 3: South (Greece, Italy, Portugal)
 None and Unknown2813.6115.3416.700.0
 OAC alone12359.713364.61458.32083.3
 Antiplatelet Alone188.7188.7416.700.0
 OAC + antiplatelet3014.63517.014.228.3
 Othersa73.494.414.228.3
 Total206100.0206100.024100.024100.0
 Performed (n = 253)
Planned (n = 48)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and Unknown207.993.51327.112.1
 OAC alone18372.318874.32041.73777.1
 Antiplatelet alone155.9114.41020.800.0
 OAC + antiplatelet3112.33212.748.3510.4
 Othersa41.6135.112.1510.4
 Total253100.0253100.048100.048100.0
Performed (n = 153)Planned (n = 19)
Zone 2: East (Poland, Romania)
 None and Unknown1610.432.0631.600.0
 OAC alone10065.410971.2736.81789.4
 Antiplatelet alone127.885.2526.300.0
 OAC + antiplatelet2415.72617.015.315.3
 Othersa10.774.600.015.3
 Total153100.0153100.019100.019100.0
Performed (n = 206)Planned (n = 24)
Zone 3: South (Greece, Italy, Portugal)
 None and Unknown2813.6115.3416.700.0
 OAC alone12359.713364.61458.32083.3
 Antiplatelet Alone188.7188.7416.700.0
 OAC + antiplatelet3014.63517.014.228.3
 Othersa73.494.414.228.3
 Total206100.0206100.024100.024100.0

aOthers include: OAC + other ATT, AP + other ATT, OAC + AP + other ATT and other ATT (fondaparinux, LMWheparin, UFheparin, other).

Table 5

Antithrombotic prescription at inclusion and at discharge when ECV were either performed at the time of the survey or planned at discharge

 Performed (n = 253)
Planned (n = 48)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and Unknown207.993.51327.112.1
 OAC alone18372.318874.32041.73777.1
 Antiplatelet alone155.9114.41020.800.0
 OAC + antiplatelet3112.33212.748.3510.4
 Othersa41.6135.112.1510.4
 Total253100.0253100.048100.048100.0
Performed (n = 153)Planned (n = 19)
Zone 2: East (Poland, Romania)
 None and Unknown1610.432.0631.600.0
 OAC alone10065.410971.2736.81789.4
 Antiplatelet alone127.885.2526.300.0
 OAC + antiplatelet2415.72617.015.315.3
 Othersa10.774.600.015.3
 Total153100.0153100.019100.019100.0
Performed (n = 206)Planned (n = 24)
Zone 3: South (Greece, Italy, Portugal)
 None and Unknown2813.6115.3416.700.0
 OAC alone12359.713364.61458.32083.3
 Antiplatelet Alone188.7188.7416.700.0
 OAC + antiplatelet3014.63517.014.228.3
 Othersa73.494.414.228.3
 Total206100.0206100.024100.024100.0
 Performed (n = 253)
Planned (n = 48)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and Unknown207.993.51327.112.1
 OAC alone18372.318874.32041.73777.1
 Antiplatelet alone155.9114.41020.800.0
 OAC + antiplatelet3112.33212.748.3510.4
 Othersa41.6135.112.1510.4
 Total253100.0253100.048100.048100.0
Performed (n = 153)Planned (n = 19)
Zone 2: East (Poland, Romania)
 None and Unknown1610.432.0631.600.0
 OAC alone10065.410971.2736.81789.4
 Antiplatelet alone127.885.2526.300.0
 OAC + antiplatelet2415.72617.015.315.3
 Othersa10.774.600.015.3
 Total153100.0153100.019100.019100.0
Performed (n = 206)Planned (n = 24)
Zone 3: South (Greece, Italy, Portugal)
 None and Unknown2813.6115.3416.700.0
 OAC alone12359.713364.61458.32083.3
 Antiplatelet Alone188.7188.7416.700.0
 OAC + antiplatelet3014.63517.014.228.3
 Othersa73.494.414.228.3
 Total206100.0206100.024100.024100.0

aOthers include: OAC + other ATT, AP + other ATT, OAC + AP + other ATT and other ATT (fondaparinux, LMWheparin, UFheparin, other).

Table 6

Antithrombotic prescription at inclusion and at discharge when the following catheter ablation was either performed at the time of the survey or planned at discharge

 Performed (n = 86)
Planned (n = 22)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown00.033.429.100.0
 OAC alone7688.47587.21672.71881.8
 Antiplatelet alone22.311.200.000.0
 OAC + antiplatelet78.167.029.129.1
 Othersa11.211.229.129.1
 Total86100.086100.022100.022100.0
Performed (n = 42)Planned (n = 12)
Zone 2: East (Poland, Romania)
 None and unknown12.400.018.300.0
 OAC alone3481.03071.4758.3216.7
 Antiplatelet alone12.437.100.018.3
 OAC + antiplatelet12.424.8325.0325.0
 Othersa511.8716.718.4650.0
 Total42100.042100.012100.012100.0
Performed (n = 58)Planned (n = 11)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown23.523.5218.2218.2
 OAC alone4984.55086.2763.6872.7
 Antiplatelet alone712.158.6218.219.1
 OAC + antiplatelet00.011.700.000.0
 Othersa00.000.000.000.0
 Total58100.058100.011100.011100.0
 Performed (n = 86)
Planned (n = 22)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown00.033.429.100.0
 OAC alone7688.47587.21672.71881.8
 Antiplatelet alone22.311.200.000.0
 OAC + antiplatelet78.167.029.129.1
 Othersa11.211.229.129.1
 Total86100.086100.022100.022100.0
Performed (n = 42)Planned (n = 12)
Zone 2: East (Poland, Romania)
 None and unknown12.400.018.300.0
 OAC alone3481.03071.4758.3216.7
 Antiplatelet alone12.437.100.018.3
 OAC + antiplatelet12.424.8325.0325.0
 Othersa511.8716.718.4650.0
 Total42100.042100.012100.012100.0
Performed (n = 58)Planned (n = 11)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown23.523.5218.2218.2
 OAC alone4984.55086.2763.6872.7
 Antiplatelet alone712.158.6218.219.1
 OAC + antiplatelet00.011.700.000.0
 Othersa00.000.000.000.0
 Total58100.058100.011100.011100.0

aOthers include: OAC + other ATT, AP + other ATT, OAC + AP + other ATT and other ATT (fondaparinux, LMW heparin, UF heparin, other).

Table 6

Antithrombotic prescription at inclusion and at discharge when the following catheter ablation was either performed at the time of the survey or planned at discharge

 Performed (n = 86)
Planned (n = 22)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown00.033.429.100.0
 OAC alone7688.47587.21672.71881.8
 Antiplatelet alone22.311.200.000.0
 OAC + antiplatelet78.167.029.129.1
 Othersa11.211.229.129.1
 Total86100.086100.022100.022100.0
Performed (n = 42)Planned (n = 12)
Zone 2: East (Poland, Romania)
 None and unknown12.400.018.300.0
 OAC alone3481.03071.4758.3216.7
 Antiplatelet alone12.437.100.018.3
 OAC + antiplatelet12.424.8325.0325.0
 Othersa511.8716.718.4650.0
 Total42100.042100.012100.012100.0
Performed (n = 58)Planned (n = 11)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown23.523.5218.2218.2
 OAC alone4984.55086.2763.6872.7
 Antiplatelet alone712.158.6218.219.1
 OAC + antiplatelet00.011.700.000.0
 Othersa00.000.000.000.0
 Total58100.058100.011100.011100.0
 Performed (n = 86)
Planned (n = 22)
Inclusion
Discharge
Inclusion
Discharge
N%N%N%N%
Zone 1: West (Belgium, Denmark, Netherlands, Norway)
 None and unknown00.033.429.100.0
 OAC alone7688.47587.21672.71881.8
 Antiplatelet alone22.311.200.000.0
 OAC + antiplatelet78.167.029.129.1
 Othersa11.211.229.129.1
 Total86100.086100.022100.022100.0
Performed (n = 42)Planned (n = 12)
Zone 2: East (Poland, Romania)
 None and unknown12.400.018.300.0
 OAC alone3481.03071.4758.3216.7
 Antiplatelet alone12.437.100.018.3
 OAC + antiplatelet12.424.8325.0325.0
 Othersa511.8716.718.4650.0
 Total42100.042100.012100.012100.0
Performed (n = 58)Planned (n = 11)
Zone 3: South (Greece, Italy, Portugal)
 None and unknown23.523.5218.2218.2
 OAC alone4984.55086.2763.6872.7
 Antiplatelet alone712.158.6218.219.1
 OAC + antiplatelet00.011.700.000.0
 Othersa00.000.000.000.0
 Total58100.058100.011100.011100.0

aOthers include: OAC + other ATT, AP + other ATT, OAC + AP + other ATT and other ATT (fondaparinux, LMW heparin, UF heparin, other).

Characteristics of patients undergoing cardioversion and ablation

The median ages of those undergoing PCV, ECV, and ablation in West countries were 69, 67, and 63 years, respectively. In East countries, the corresponding figures were 69, 60, and 59, respectively. In the South, median ages were 69, 70, and 59.5, respectively.

In West countries, duration of AF > 7 days among those undergoing PCV, ECV, and ablation were 17.2, 39.9, and 20.9%. The corresponding percentages in East countries were 38.9, 64.7, and 40.5%, respectively. In the South, the corresponding figures were 9.1, 46.6, and 22.4%, respectively (Supplementary material online, Table S1).

The proportions with a CHA2DS2-VASc score of ≥2 in West countries were 68.8, 62.1, and 57.0%, respectively. In East countries, the corresponding figures were 90.1, 74.5, and 35.7%, while in South countries, 72.4, 76.2, and 44.8%, respectively.

Discussion

In this analysis from the EORP-AF Pilot registry, we show regional differences in patient characteristics, treatment options, and management options among European cardiologists. In particular, stroke risk and application of antithrombotic therapy varied, as did patient selection for rhythm control interventions. This is despite publication of new guidelines from the ESC in 2010, which was followed by a focused update in 2012.4,5

As expected, heart failure was the commonest cause for hospitalization in all regions. Chronic heart failure was particularly common in East countries, and the combination of AF and heart failure (especially those requiring hospitalization) leads to a poor prognosis.12 Our dataset does not differentiate between heart failure with reduced or preserved ejection fraction (HFrEF and HFpEF, respectively) but recent studies suggest that irrespective of ejection fraction, decompensated heart failure is associated with more adverse outcomes in the presence of AF.1315

Differences in associated comorbidity were evident. Of note, hypertension, peripheral artery disease and chronic kidney disease were more common in South countries, where patients were significantly older. This is in keeping with the high disease burden associated with hypertension in South countries.16 These comorbidities contribute to increased cardiovascular risk associated with AF, particularly from thromboembolism.17

Stroke risk as quantified by a CHA2DS2-VASc score of ≥2 was generally highest in East and South countries. OAC use was generally high (>72%) but antiplatelet therapy is still used in ∼15%. Indeed, differences in determinants of antithrombotic therapy use were evident, particularly where antiplatelet therapy was used alone or in combination with OAC. Coronary artery disease was a very strong determinant of antiplatelet therapy use, whether alone or in combination with OAC. Combination of OAC plus antiplatelet therapy use was also more common with older age, male sex, peripheral artery disease and especially in the South, where concomitant stroke risk factors were evident. This is despite evidence that in patients with stable vascular disease, combination OAC plus antiplatelet therapy does not confer added advantage in reducing stroke and thromboembolism, but substantially increases the risk of major bleeding, especially intracranial bleeding.1820

OAC in patients selected for rhythm control was highest in West countries, compared with only 50% use among those who had undergone PCV in South countries. This is surprising, as cardioversion of patients with AF of >48 h duration—whether electrical or pharmacological—should require appropriate thromboprophylaxis.4 This is consistent with a recent registry (RHYTHM-AF) showing substantial variation in management, and undertreatment with antithrombotic therapy in patients undergoing cardioversion.11,21

Interestingly, patients from West countries undergoing ECV were younger, while AF duration in South countries of patients undergoing rhythm control was usually <7 days. Such patients probably have the better chance of a successful outcome. Patients from East countries undergoing pharmacological or ECV were generally at higher stroke risk (as evident by the proportion with a CHA2DS2-VASc score of ≥2), while those undergoing ablation in East countries had the lowest stroke risk (CHA2DS2-VASc score of ≥2 in only 35.7%). The high stroke risk profile in those undergoing cardioversion is perhaps surprising, as multiple comorbidities (reflected by a high CHA2DS2-VASc score) may reduce the chance of successful outcomes with rhythm control and the long-term maintenance of sinus rhythm.22 The best evidence for ablation success is in those with few comorbidities, and practice in East countries reflects this, while West and South countries perform ablation on high stroke risk patients.23 Current guidelines recommend that OAC should not be stopped post-ablation in patients with a CHA2DS2-VASc score of ≥2.4,23

Limitations

This pilot registry is limited by its dependence upon data obtained from the cardiologists in nine ESC member countries only, and we recognize that in many healthcare systems, AF patients are often looked after by non-cardiologists. Nonetheless, this analysis provides evidence for regional differences in patient characteristics, treatment options and management options. Our division into three regions (West, East, and South) is also an artificial division of convenience, and inter-country differences would also be evident. Nonetheless, it is recognized that geographic variations can lack statistical power, and are at besthypothesis-generating.24 Random effects may be of importance, for example, higher comorbidities in ‘East’ countries which could plausibly lead to less rhythm control strategies in these countries. Also, an analysis by country would be interesting but we would be underpowered due to the modest numbers per country if such an analysis was made. Indeed, some of the management practices may also reflect the choice of participating centres, but the EORP-AF protocol includes consecutive patients and obtains a mix of electrophysiology- and non-electrophysiology-based hospitals to reflect representative clinical practice in the various countries. Nonetheless, we have avoided comparisons of management in relation to the type of clinical practice (e.g. office vs. hospital-based cardiologists) in one country vs. another, as we may not be comparing like with like; however, we have tried to minimize heterogeneity by focusing on the subgroup of n = 902 hospital-admitted patients in whom no rhythm control was performed or planned at initial presentation. The relatively small numbers in some subgroups, for example, in determining antithrombotic therapy use, are a limitation and it remains possible that with larger numbers more homogeneity may be evident. We also recognize that regional descriptions of the rhythm control patients are based on small numbers. Finally, the present analysis focuses on baseline data, and outcome data from the EORP-AF Pilot registry follow-up phase will become available in due course. A more comprehensive assessment in all member ESC countries would be obtained from the EORP-AF general long-term registry.

Conclusions

From the systematic collection of contemporary data regarding the management and treatment of AF in nine participating member ESC countries, we provide hypothesis-generating observational insights into regional management practices in Europe with regard to patient characteristics and treatment options.

Supplementary material

Supplementary material is available at Europace online.

EORP sponsors

At the time of the registry, the following companies are supporting the EURObservational Research programme: GOLD: Abott Vascular, Bayer Pharma, Bristol Myers Squibb (BMS), Pfizer, Boehringer Ingelheim, Daiichi Sankyo Europe, Menarini international Operations, Novartis Pharma, Sanofi-Aventis, Servier International. SILVER: Amgen. BRONZE: Boston Scientific International, Merck & Co. (MSD).

Conflict of interest: G.Y.H.L.—consultant for Bayer, Medtronic, Sanofi, BMS/Pfizer, Daiichi-Sankyo, and Boehringer Ingelheim, and has been a speaker for Bayer, BMS/Pfizer, Boehringer Ingelheim, Daiichi-Sankyo and Medtronic. L.H.R.—speaker bureaus for Bayer, BMS/Pfizer, Janssen Pharmaceuticals, Takeda, Roche Diagnostics, and Boehringer Ingelheim. G.B.—received small speaker's fee from Medtronic Inc and Boston Scientific. M.M.O.—consultant for Medtronic, Sorin, and Biotronik, and speaker bureau for Boston Scientific and St Jude Medical. L.T.: consultant and Speakers bureau member for Servier; Committee Member for Servier, Medtronic, St Jude Medical, CVIE Therapeutics, Boston Scientific, Vifor Pharma, Cardiorentis. Other authors—none declared in relation to this manuscript.

References

1

Krijthe
BP
Kunst
A
Benjamin
EJ
Lip
GY
Franco
OH
Hofman
A
et al.
Projections on the number of individuals with atrial fibrillation in the European union, from 2000 to 2060
Eur Heart J
2013
34
2746
51

2

Miyasaka
Y
Barnes
ME
Gersh
BJ
Cha
SS
Bailey
KR
Abhayaratna
WP
et al.
Secular trends in incidence of atrial fibrillation in Olmsted county, minnesota, 1980 to 2000, and implications on the projections for future prevalence
Circulation
2006
114
119
25

3

Nieuwlaat
R
Capucci
A
Camm
AJ
Olsson
SB
Andresen
D
Davies
DW
et al.
Atrial fibrillation management: a prospective survey in esc member countries: the euro heart survey on atrial fibrillation
Eur Heart J
2005
26
2422
34

4

Camm
AJ
Kirchhof
P
Lip
GY
Schotten
U
Savelieva
I
Ernst
S
et al.
Guidelines for the management of atrial fibrillation: the task force for the management of atrial fibrillation of the European society of cardiology (esc)
Europace
2010
12
1360
420

5

Camm
AJ
Lip
GY
De Caterina
R
Savelieva
I
Atar
D
Hohnloser
SH
et al.
2012 focused update of the ESC guidelines for the management of atrial fibrillation: an update of the 2010 ESC guidelines for the management of atrial fibrillation—developed with the special contribution of the European heart rhythm association
Europace
2012
14
1385
413

6

Lane
DA
Lip
GY
Patient's values and preferences for stroke prevention in atrial fibrillation: balancing stroke and bleeding risk with oral anticoagulation
Thromb Haemost
2014
111
381
3

7

Nieuwlaat
R
Olsson
SB
Lip
GY
Camm
AJ
Breithardt
G
Capucci
A
et al.
Guideline-adherent antithrombotic treatment is associated with improved outcomes compared with undertreatment in high-risk patients with atrial fibrillation. The euro heart survey on atrial fibrillation
Am Heart J
2007
153
1006
12

8

Gorin
L
Fauchier
L
Nonin
E
Charbonnier
B
Babuty
D
Lip
GY
Prognosis and guideline-adherent antithrombotic treatment in patients with atrial fibrillation and atrial flutter: implications of undertreatment and overtreatment in real-life clinical practice; the Loire valley atrial fibrillation project
Chest
2011
140
911
7

9

Wilke
T
Groth
A
Mueller
S
Pfannkuche
M
Verheyen
F
Linder
R
et al.
Oral anticoagulation use by patients with atrial fibrillation in Germany. Adherence to guidelines, causes of anticoagulation under-use and its clinical outcomes, based on claims-data of 183,448 patients
Thromb Haemost
2012
107
1053
65

10

Lip
GYH
Laroche
C
Dan
GA
Santini
M
Kalarus
Z
Rasmussen
LH
et al.
A prospective survey in European society of cardiology member countries of atrial fibrillation management: baseline results of eurobservational research programme atrial fibrillation (EORP-AF) pilot general registry
Europace
2014
16
308
19

11

Lip
GY
Gitt
AK
Le Heuzey
JY
Bash
LD
Morabito
CJ
Bernhardt
AA
et al.
Overtreatment and undertreatment with anticoagulation in relation to cardioversion of atrial fibrillation (the rhythm-af study)
Am J Cardiol
2014
113
480
4

12

Lau
YC
Lane
DA
Lip
GY
Atrial fibrillation and heart failure: a bad combination
Am J Cardiol
2014
113
1196
7

13

McManus
DD
Hsu
G
Sung
SH
Saczynski
JS
Smith
DH
Magid
DJ
et al.
Atrial fibrillation and outcomes in heart failure with preserved versus reduced left ventricular ejection fraction
J Am Heart Assoc
2013
2
e005694

14

McManus
DD
Saczynski
JS
Lessard
D
Kinno
M
Pidikiti
R
Esa
N
et al.
Recent trends in the incidence, treatment, and prognosis of patients with heart failure and atrial fibrillation (the worcester heart failure study)
Am J Cardiol
2013
111
1460
5

15

Banerjee
A
Taillandier
S
Olesen
JB
Lane
DA
Lallemand
B
Lip
GY
et al.
Ejection fraction and outcomes in patients with atrial fibrillation and heart failure: the Loire valley atrial fibrillation project
Eur J Heart Fail
2012
14
295
301

16

Kearney
PM
Whelton
M
Reynolds
K
Muntner
P
Whelton
PK
He
J
Global burden of hypertension: analysis of worldwide data
Lancet
2005
365
217
23

17

Pisters
R
Lane
DA
Marin
F
Camm
AJ
Lip
GY
Stroke and thromboembolism in atrial fibrillation
Circ J
2012
76
2289
304

18

De Caterina
R
Husted
S
Wallentin
L
Andreotti
F
Arnesen
H
Bachmann
F
et al.
Vitamin k antagonists in heart disease: current status and perspectives (section iii). Position paper of the ESC working group on thrombosis—task force on anticoagulants in heart disease
Thromb Haemost
2013
110
1087
107

19

Bernard
A
Fauchier
L
Pellegrin
C
Clementy
N
Saint Etienne
C
Banerjee
A
et al.
Anticoagulation in patients with atrial fibrillation undergoing coronary stent implantation
Thromb Haemost
2013
110
560
8

20

Marin
F
Huber
K
Lip
GY
Antithrombotic therapy in atrial fibrillation and stent implantation: treatment or threats by the use of triple or dual antithrombotic therapy
Thromb Haemost
2013
110
623
5

21

Crijns
HJ
Weijs
B
Fairley
AM
Lewalter
T
Maggioni
AP
Martin
A
et al.
Contemporary real life cardioversion of atrial fibrillation: results from the multinational RHYTHM-AF study
Int J Cardiol
2014
172
588
94

22

Letsas
KP
Efremidis
M
Giannopoulos
G
Deftereos
S
Lioni
L
Korantzopoulos
P
et al.
CHADS2 and CHA2DS2 VASc scores as predictors of left atrial ablation outcomes for paroxysmal atrial fibrillation
Europace
2014
16
202
7

23

Calkins
H
Kuck
KH
Cappato
R
Brugada
J
Camm
AJ
Chen
SA
et al.
2012 hrs/ehra/ecas expert consensus statement on catheter and surgical ablation of atrial fibrillation: recommendations for patient selection, procedural techniques, patient management and follow-up, definitions, endpoints, and research trial design
Europace
2012
14
528
606

24

Pocock
S
Calvo
G
Marrugat
J
Prasad
K
Tavazzi
L
Wallentin
L
et al.
International differences in treatment effect: do they really exist and why?
Eur Heart J
2013
34
1846
52