| Literature DB >> 29212125 |
Michał Mazurek1,2, Menno V Huisman3, Kenneth J Rothman4, Miney Paquette5, Christine Teutsch6, Hans-Christoph Diener7, Sergio J Dubner8, Jonathan L Halperin9, Chang Sheng Ma10, Kristina Zint11, Amelie Elsaesser12, Shihai Lu13, Gregory Y H Lip1,14.
Abstract
Introduction Although guideline-adherent antithrombotic therapy (ATT) for stroke prevention in atrial fibrillation (AF) is associated with lower mortality and thromboembolism, ATT uptake shows geographic variation worldwide. We aimed to assess thromboembolic risk and baseline ATT by geographic region and identify factors associated with prescription of ATT in a large, truly global registry of patients with recently diagnosed AF. Methods and Results Our analysis comprises 15,092 patients newly diagnosed with non-valvular AF at risk for stroke, enrolled in Phase II of Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF). Global oral anticoagulation (OAC) use was 79.9%, being highest in Europe (90.1%), followed by Africa/Middle East (87.4%) and Latin America (85.3%), North America (78.3%) and Asia (55.2%). Among OAC users, vitamin K antagonists (VKAs) have been replaced by non-VKA OACs (NOACs) as the more prevalent OAC option in all regions, with highest use in North America (66.5%) and lowest in Asia (50.2%). In Asia, OAC was 80.4% in community hospitals but only 49.8% in university hospitals and 42.6% in specialist offices, and varied from 21.0% in China to 89.7% in Japan (NOACs at 5.8% in China and 83.3% in Japan). Globally, 76.5% of low-risk patients were prescribed ATT (46.1% OAC), whereas 17.7% high-risk patients were not anticoagulated (Europe 8.8%; North America 18.9%; Asia 42.4%). Conclusion Substantial inter- and intra-regional differences in ATT for stroke prevention in AF are evident in this global registry. While guideline-adherent ATT can be further improved, NOACs are the main contributor to high OAC use worldwide.Entities:
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Year: 2017 PMID: 29212125 PMCID: PMC6260111 DOI: 10.1160/TH17-08-0555
Source DB: PubMed Journal: Thromb Haemost ISSN: 0340-6245 Impact factor: 5.249
Fig. 1Definition of geographical regions and country participation in Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF).
Baseline characteristics by region
|
| All | Region 1 | Region 2 | Region 3 | Region 4 | Region 5 |
|---|---|---|---|---|---|---|
| Patient characteristics | ||||||
| Age, y, median [Q1,Q3] | 71.0 [64–78] | 68.0 [60–76] | 73.0 [66–79] | 71.0 [64–79] | 71.0 [62–78] | 70.0 [61–76] |
| Age, ≥75 y | 5,907 (39.1) | 874 (28.5) | 3,144 (44.2) | 1,349 (39.6) | 354 (38.8) | 186 (31.2) |
| Female gender | 6,872 (45.5) | 1,337 (43.5) | 3,317 (46.7) | 1,524 (44.8) | 410 (44.9) | 284 (47.6) |
| GFR, mL/min/1.73 m 2 , median [Q1,Q3] | 75.1 [61–90] | 78.7 [65–96] | 74.0 [61–88] | 74.3 [59–89] | 72.5 [59–87] | 75.2 [58–92] |
| No reimbursement for medications | 1,076 (7.1) | 375 (12.2) | 313 (4.4) | 103 (3.0) | 183 (20.0) | 102 (17.1) |
| Medical history | ||||||
| Hypertension | 11,255 (74.6) | 2,130 (69.4) | 5,217 (73.4) | 2,738 (80.5) | 690 (75.6) | 480 (80.4) |
| Hyperlipidaemia | 6,026 (39.9) | 821 (26.7) | 2,595 (36.5) | 2,085 (61.3) | 246 (26.9) | 279 (46.7) |
| Diabetes mellitus | 3,487 (23.1) | 619 (20.2) | 1,510 (21.2) | 921 (27.1) | 185 (20.3) | 252 (42.2) |
| Previous stroke/TIA | 2,147 (14.2) | 400 (13.0) | 1,107 (15.6) | 422 (12.4) | 110 (12.0) | 108 (18.1) |
| Congestive heart failure | 3,647 (24.2) | 837 (27.3) | 1,662 (23.4) | 671 (19.7) | 296 (32.4) | 181 (30.3) |
| Coronary artery disease | 3,068 (20.3) | 674 (21.9) | 1,167 (16.4) | 919 (27.0) | 114 (12.5) | 194 (32.5) |
| Myocardial infarction | 1,600 (10.6) | 246 (8.0) | 741 (10.4) | 418 (12.3) | 96 (10.5) | 99 (16.6) |
|
Abnormal kidney function
| 241 (1.6) | 45 (1.5) | 89 (1.3) | 75 (2.2) | 12 (1.3) | 20 (3.4) |
| Type of AF | ||||||
| Paroxysmal | 8,052 (53.4) | 1,804 (58.7) | 3,326 (46.8) | 2,240 (65.8) | 396 (43.4) | 286 (47.9) |
| Persistent | 5,362 (35.5) | 1,086 (35.4) | 2,763 (38.9) | 1,007 (29.6) | 316 (34.6) | 190 (31.8) |
| Permanent | 1,678 (11.1) | 181 (5.9) | 1,019 (14.3) | 156 (4.6) | 201 (22.0) | 121 (20.3) |
| Categorization of AF | ||||||
| Symptomatic | 4,263 (28.2) | 751 (24.5) | 2,258 (31.8) | 804 (23.6) | 292 (32.0) | 158 (26.5) |
| Minimally symptomatic | 6,004 (39.8) | 1,460 (47.5) | 2,671 (37.6) | 1,278 (37.6) | 323 (35.4) | 272 (45.6) |
| Asymptomatic | 4,825 (32.0) | 860 (28.0) | 2,179 (30.7) | 1,321 (38.8) | 298 (32.6) | 167 (28.0) |
| Interventions in AF | ||||||
| AF cardioversion | 2,431 (16.1) | 331 (10.8) | 1,226 (17.2) | 646 (19.0) | 143 (15.7) | 85 (14.2) |
| AF ablation | 161 (1.1) | 93 (3.0) | 33 (0.5) | 26 (0.8) | 5 (0.5) | 4 (0.7) |
| CHA 2 DS 2 -VASc | 3.0 | 3.0 | 3.0 | 3.0 | 3.0 | 3.0 |
| Low risk (score 1 in women) | 332 (2.2) | 110 (3.6) | 114 (1.6) | 83 (2.4) | 14 (1.5) | 11 (1.8) |
| Moderate risk (score 1 in men) | 1,761 (11.7) | 532 (17.3) | 684 (9.6) | 387 (11.4) | 108 (11.8) | 50 (8.4) |
| High risk (score ≥2) | 12,999 (86.1) | 2,429 (79.1) | 6,310 (88.8) | 2,933 (86.2) | 791 (86.6) | 536 (89.8) |
| HAS-BLED | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| Low risk (score 0–2) | 11,927 (79.0) | 2,359 (76.8) | 5,538 (77.9) | 2,775 (81.5) | 772 (84.6) | 483 (80.9) |
| High risk (score ≥3) | 1,376 (9.1) | 329 (10.7) | 575 (8.1) | 352 (10.3) | 59 (6.5) | 61 (10.2) |
| Missing | 1,789 (11.9) | 383 (12.5) | 995 (14.0) | 276 (8.1) | 82 (9.0) | 53 (8.9) |
| Physician specialty | ||||||
| Cardiologist | 13,863 (91.9) | 2,994 (97.5) | 6,568 (92.4) | 2,872 (84.4) | 864 (94.6) | 565 (94.6) |
| GP/geriatrician | 359 (2.4) | 34 (1.1) | 63 (0.9) | 229 (6.7) | 32 (3.5) | 1 (0.2) |
| Internist | 322 (2.1) | 12 (0.4) | 71 (1.0) | 197 (5.8) | 17 (1.9) | 25 (4.2) |
| Neurologist | 147 (1.0) | 7 (0.2) | 63 (0.9) | 77 (2.3) | 0 (0.0) | 0 (0.0) |
| Other | 386 (2.6) | 24 (0.8) | 328 (4.6) | 28 (0.8) | 0 (0.0) | 6 (1.0) |
| Missing | 15 (0.1) | 0 (0.0) | 15 (0.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Type of setting | ||||||
| GP/primary care | 968 (6.4) | 178 (5.8) | 216 (3.0) | 496 (14.6) | 75 (8.2) | 3 (0.5) |
| Specialist office | 4,567 (30.3) | 611 (19.9) | 1,200 (16.9) | 2,290 (67.3) | 320 (35.0) | 146 (24.5) |
| Community hospital | 3,969 (26.3) | 561 (18.3) | 2,717 (38.2) | 298 (8.8) | 251 (27.5) | 142 (23.8) |
| University hospital | 5,081 (33.7) | 1,659 (54.0) | 2,715 (38.2) | 265 (7.8) | 207 (22.7) | 235 (39.4) |
| Outpatient/anticoagulation clinic | 381 (2.5) | 62 (2.0) | 143 (2.0) | 54 (1.6) | 51 (5.6) | 71 (11.9) |
| Other | 126 (0.8) | 0 (0.0) | 117 (1.6) | 0 (0.0) | 9 (1.0) | 0 (0.0) |
Abbreviations: AF, atrial fibrillation; CHA 2 DS 2 -VASc, congestive heart failure, hypertension, age ≥75 years (doubled), diabetes, stroke/transient ischaemic attack/thromboembolism (doubled), vascular disease (prior myocardial infarction [MI], peripheral arterial disease [PAD] or aortic plaque), age 65 to 74 years, sex category (female); GFR, glomerular filtration rate; GP, general practitioner; HAS-BLED, hypertension, abnormal renal and liver function, stroke, bleeding, labile INR (international normalized ratio), age ≥65 years, drugs or alcohol; TIA, transient ischaemic attack.
Defined as the presence of chronic dialysis or renal transplantation or serum creatinine ≥200 μmol/L.
Fig. 2Antithrombotic treatments by region, overall ( A ) and among oral anticoagulant (OAC) users ( B ). Other antithrombotic therapy includes the combination of antithrombotic agents.
Fig. 3Antithrombotic treatment by region and stroke risk. a Other = antiplatelets other than acetylsalicylic acid (ASA) and combination of antithrombotic agents; Xa inhibitor = rivaroxaban, apixaban. a In Latin America and Africa/Middle East, score = 1 in females is not shown as there were too low patient numbers to calculate meaningful percentages for comparison.
Antithrombotic therapy by region and country
| Entire population |
All
| None | ASA | VKA | NOAC | Overall OAC | Other |
|---|---|---|---|---|---|---|---|
| Asia | 3,071 (100) | 608 (19.8) | 727 (23.7) | 844 (27.5) | 850 (27.7) | 1,694 (55.2) | 42 (1.4) |
| China | 1,018 (33.1) | 431 (42.3) | 351 (34.5) | 155 (15.2) | 59 (5.8) | 214 (21.0) | 22 (2.2) |
| Hong Kong | 49 (1.6) | 3 (6.1) | 13 (26.5) | 9 (18.4) | 24 (49.0) | 33 (67.3) | 0 |
| Japan | 312 (10.2) | 27 (8.7) | 5 (1.6) | 20 (6.4) | 260 (83.3) | 280 (89.7) | 0 |
| Russian Federation | 404 (13.2) | 2 (0.5) | 45 (11.1) | 75 (18.6) | 282 (69.8) | 357 (88.4) | 0 |
| Singapore | 48 (1.6) | 5 (10.4) | 5 (10.4) | 23 (47.9) | 14 (29.2) | 37 (77.1) | 1 (2.1) |
| South Korea | 997 (32.5) | 117 (11.7) | 282 (28.3) | 541 (54.3) | 42 (4.2) | 583 (58.5) | 15 (1.5) |
| Taiwan | 243 (7.9) | 23 (9.5) | 26 (10.7) | 21 (8.6) | 169 (69.5) | 190 (78.2) | 4 (1.6) |
| Europe | 7,108 (100) | 272 (3.8) | 373 (5.2) | 2,687 (37.8) | 3,717 (52.3) | 6,404 (90.1) | 59 (0.8) |
| Austria | 62 (0.9) | 1 (1.6) | 0 | 5 (8.1) | 56 (90.3) | 61 (98.4) | 0 |
| Belgium | 38 (0.5) | 4 (10.5) | 2 (5.3) | 3 (8.0) | 29 (76.3) | 32 (84.2) | 0 |
| Bulgaria | 303 (4.3) | 3 (1.0) | 6 (2.0) | 61 (20.1) | 233 (76.9) | 294 (97.0) | 0 |
| Croatia | 165 (2.3) | 11 (6.7) | 36 (21.8) | 96 (58.2) | 22 (13.3) | 118 (71.5) | 0 |
| Czech Republic | 75 (1.1) | 7 (9.3) | 3 (4.0) | 53 (70.7) | 12 (16.0) | 65 (86.7) | 0 |
| Denmark | 62 (0.9) | 2 (3.2) | 0 | 14 (22.6) | 46 (74.2) | 60 (96.8) | 0 |
| Estonia | 45 (0.6) | 0 | 0 | 17 (37.8) | 28 (62.2) | 45 (100) | 0 |
| France | 969 (13.6) | 21 (2.2) | 22 (2.3) | 195 (20.1) | 729 (75.2) | 924 (95.4) | 2 (0.2) |
| Germany | 1,220 (17.2) | 39 (3.2) | 75 (6.1) | 201 (16.5) | 899 (73.7) | 1,100 (90.2) | 6 (0.5) |
| Greece | 270 (3.8) | 7 (2.6) | 9 (3.3) | 113 (41.9) | 141 (52.2) | 254 (94.1) | 0 |
| Republic of Ireland | 61 (0.9) | 1 (1.6) | 5 (8.2) | 13 (21.3) | 42 (68.9) | 55 (90.2) | 0 |
| Italy | 359 (5.1) | 17 (4.7) | 14 (3.9) | 111 (30.9) | 214 (59.6) | 325 (90.5) | 3 (0.8) |
| Latvia | 60 (0.8) | 0 | 20 (33.3) | 6 (10.0) | 34 (56.7) | 40 (66.7) | 0 |
| The Netherlands | 528 (7.4) | 9 (1.7) | 12 (2.3) | 317 (60.0) | 188 (35.6) | 505 (95.6) | 2 (0.4) |
| Norway | 77 (1.1) | 2 (2.6) | 2 (2.6) | 16 (20.8) | 57 (74.0) | 73 (94.8) | 0 |
| Poland | 75 (1.1) | 4 (5.3) | 3 (4.0) | 9 (12.0) | 59 (78.7) | 68 (90.7) | 0 |
| Portugal | 164 (2.3) | 5 (3.0) | 3 (1.8) | 56 (34.1) | 100 (61.0) | 156 (95.1) | 0 |
| Romania | 301 (4.2) | 1 (0.3) | 17 (5.6) | 121 (40.2) | 152 (50.5) | 273 (90.7) | 10 (3.3) |
| Slovenia | 68 (1.0) | 0 | 0 | 2 (2.9) | 66 (97.1) | 68 (100) | 0 |
| Spain | 1,155 (16.2) | 78 (6.8) | 70 (6.1) | 725 (62.8) | 273 (23.6) | 998 (86.4) | 9 (0.8) |
| Sweden | 137 (1.9) | 0 | 0 | 80 (58.4) | 57 (41.6) | 137 (100) | 0 |
| Switzerland | 72 (1.0) | 1 (1.4) | 3 (4.2) | 20 (27.8) | 47 (65.3) | 67 (93.1) | 1 (1.4) |
| United Kingdom | 842 (11.8) | 59 (7.0) | 71 (8.4) | 453 (53.8) | 233 (27.7) | 686 (81.5) | 26 (3.1) |
| North America | 3,403 (100.0) | 255 (7.5) | 455 (13.4) | 892 (26.2) | 1,774 (52.1) | 2,666 (78.3) | 27 (0.8) |
| Canada | 396 (11.6) | 8 (2.0) | 47 (11.7) | 101 (25.5) | 238 (60.1) | 339 (85.6) | 2 (0.5) |
| United States | 3,007 (88.4) | 247 (8.2) | 408 (13.6) | 791 (26.3) | 1,536 (51.1) | 2,327 (77.4) | 25 (0.8) |
| Latin America | 913 (100.0) | 38 (4.2) | 92 (10.1) | 265 (29.0) | 514 (56.3) | 779 (85.3) | 4 (0.4) |
| Argentina | 153 (16.8) | 4 (2.6) | 14 (9.2) | 62 (40.5) | 73 (47.7) | 135 (88.2) | 0 |
| Brazil | 306 (33.5) | 28 (9.2) | 42 (13.7) | 99 (32.4) | 137 (44.8) | 236 (77.1) | 0 |
| Chile | 11 (1.2) | 0 | 1 (9.1) | 7 (63.6) | 3 (27.2) | 10 (90.9) | 0 |
| Colombia | 134 (14.7) | 2 (1.5) | 6 (4.5) | 29 (21.6) | 97 (72.4) | 126 (94.0) | 0 |
| Ecuador | 36 (4.0) | 1 (2.8) | 5 (13.9) | 5 (13.9) | 23 (63.9) | 28 (77.8) | 2 (5.6) |
| Mexico | 220 (24.1) | 1 (0.5) | 21 (9.5) | 47 (21.4) | 149 (67.7) | 196 (89.1) | 2 (0.9) |
| Peru | 44 (4.8) | 1 (2.3) | 2 (4.5) | 15 (34.1) | 26 (59.1) | 41 (93.2) | 0 |
| Venezuela | 9 (1.0) | 1 (11.1) | 1 (11.1) | 1 (11.1) | 6 (66.7) | 7 (77.8) | 0 |
| Africa/Middle East | 597 (100.0) | 9 (1.5) | 59 (9.9) | 190 (31.8) | 332 (55.6) | 522 (87.4) | 7 (1.2) |
| Lebanon | 243 (40.7) | 1 (0.4) | 29 (11.9) | 62 (25.5) | 148 (60.9) | 210 (86.4) | 3 (1.2) |
| Saudi Arabia | 235 (39.4) | 4 (1.7) | 8 (3.4) | 77 (32.8) | 145 (61.7) | 222 (94.5) | 1 (0.4) |
| Republic of South Africa | 32 (5.4) | 2 (6.3) | 1 (3.1) | 25 (78.1) | 3 (9.4) | 28 (87.5) | 1 (3.1) |
| United Arab Emirates | 87 (14.6) | 2 (2.3) | 21 (24.1) | 26 (29.9) | 36 (41.4) | 62 (71.3) | 2 (2.3) |
Abbreviations: ASA, aspirin; NOAC, non-vitamin K antagonists oral anticoagulant; VKA, vitamin K antagonists; OAC, oral anticoagulant; Other, antiplatelets other than aspirin and combination of antithrombotic agents.
Note: Data are presented as n (%)—row percentages.
Data presented in column percentages.
Fig. 4Antithrombotic treatment by region and setting. a Other = antiplatelets other than acetylsalicylic acid (ASA) and combination of antithrombotic agents. a In Europe, n = 117 (1.6%) and Latin America n = 9 (1%) patients were included in other types of sites not shown in this graphic.
Fig. 5Summary infographic showing substantial inter- and intra-regional differences in antithrombotic therapy for stroke prevention in AF (atrial fibrillation).