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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group>
<journal-title>PLoS ONE</journal-title></journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc></publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">PONE-D-13-04172</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0063479</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Mathematics</subject><subj-group><subject>Statistics</subject><subj-group><subject>Biostatistics</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine</subject><subj-group><subject>Cardiovascular</subject><subj-group><subject>Arrhythmias</subject><subject>Stroke</subject></subj-group></subj-group><subj-group><subject>Clinical research design</subject><subj-group><subject>Observational studies</subject><subject>Prospective studies</subject><subject>Statistical methods</subject></subj-group></subj-group><subj-group><subject>Non-clinical medicine</subject><subj-group><subject>Health care policy</subject><subj-group><subject>Health risk analysis</subject></subj-group></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>Risk Profiles and Antithrombotic Treatment of Patients Newly Diagnosed with Atrial Fibrillation at Risk of Stroke: Perspectives from the International, Observational, Prospective GARFIELD Registry</article-title>
<alt-title alt-title-type="running-head">Antithrombotic Treatment of Atrial Fibrillation</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kakkar</surname><given-names>Ajay K.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mueller</surname><given-names>Iris</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bassand</surname><given-names>Jean-Pierre</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fitzmaurice</surname><given-names>David A.</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Goldhaber</surname><given-names>Samuel Z.</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Goto</surname><given-names>Shinya</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Haas</surname><given-names>Sylvia</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hacke</surname><given-names>Werner</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lip</surname><given-names>Gregory Y. H.</given-names></name><xref ref-type="aff" rid="aff9"><sup>9</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mantovani</surname><given-names>Lorenzo G.</given-names></name><xref ref-type="aff" rid="aff10"><sup>10</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Turpie</surname><given-names>Alexander G. G.</given-names></name><xref ref-type="aff" rid="aff11"><sup>11</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>van Eickels</surname><given-names>Martin</given-names></name><xref ref-type="aff" rid="aff12"><sup>12</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Misselwitz</surname><given-names>Frank</given-names></name><xref ref-type="aff" rid="aff12"><sup>12</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rushton-Smith</surname><given-names>Sophie</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kayani</surname><given-names>Gloria</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wilkinson</surname><given-names>Peter</given-names></name><xref ref-type="aff" rid="aff13"><sup>13</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Verheugt</surname><given-names>Freek W. A.</given-names></name><xref ref-type="aff" rid="aff14"><sup>14</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><collab xlink:type="simple">for the GARFIELD Registry Investigators</collab><xref ref-type="fn" rid="fn1"><sup>¶</sup></xref></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><addr-line>Thrombosis Research Institute, London, United Kingdom</addr-line></aff>
<aff id="aff2"><label>2</label><addr-line>University College London, London, United Kingdom</addr-line></aff>
<aff id="aff3"><label>3</label><addr-line>Department of Cardiology, University Hospital Jean-Minjoz, Besançon, France</addr-line></aff>
<aff id="aff4"><label>4</label><addr-line>Primary Care Clinical Sciences, The University of Birmingham, Birmingham, United Kingdom</addr-line></aff>
<aff id="aff5"><label>5</label><addr-line>Department of Medicine, Harvard Medical School, Boston, Massachusetts, and Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America</addr-line></aff>
<aff id="aff6"><label>6</label><addr-line>Department of Medicine, Tokai University, Kanagawa, Japan</addr-line></aff>
<aff id="aff7"><label>7</label><addr-line>Department of Medicine, Technical University of Munich, Munich, Germany</addr-line></aff>
<aff id="aff8"><label>8</label><addr-line>Department of Neurology, University Hospital of Heidelberg, Heidelberg, Germany</addr-line></aff>
<aff id="aff9"><label>9</label><addr-line>University of Birmingham Centre for Cardiovascular Sciences, City Hospital, Birmingham, United Kingdom</addr-line></aff>
<aff id="aff10"><label>10</label><addr-line>Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Napoli, Italy</addr-line></aff>
<aff id="aff11"><label>11</label><addr-line>Department of Medicine, McMaster University, Hamilton, Ontario, Canada</addr-line></aff>
<aff id="aff12"><label>12</label><addr-line>Bayer HealthCare Pharmaceuticals, Berlin, Germany</addr-line></aff>
<aff id="aff13"><label>13</label><addr-line>Wilkinson Associates, Radnage, Bucks, United Kingdom</addr-line></aff>
<aff id="aff14"><label>14</label><addr-line>Department of Cardiology, Onze Lieve Vrouwe Gasthuis (OLVG), Amsterdam, The Netherlands</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple"><name name-style="western"><surname>Hernandez</surname><given-names>Adrian V.</given-names></name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/></contrib>
</contrib-group>
<aff id="edit1"><addr-line>Universidad Peruana de Ciencias Aplicadas (UPC), Peru</addr-line></aff>
<author-notes>
<fn id="fn1" fn-type="other"><p>¶ Membership of the GARFIELD Registry is provided in <xref ref-type="supplementary-material" rid="pone.0063479.s005">Text S1</xref>.</p></fn>
<corresp id="cor1">* E-mail: <email xlink:type="simple">akkakkar@tri-london.ac.uk</email></corresp>
<fn fn-type="conflict"><p>Dr. Kakkar’s research was supported by Bayer HealthCare, sanofi-aventis, Boehringer Ingelheim (BI), Pfizer, Bristol Myers Squibb (BMS), and Eisai. Dr. Kakkar provided consultancy for Bayer HealthCare, sanofi-aventis, BI, Pfizer, BMS, Eisai, Aryx Therapeutics, and Canyon. Dr. Kakkar received honoraria from Bayer HealthCare, sanofi-aventis, BI, Pfizer, BMS, Eisai, and GSK (GSK). Dr. Kakkar has been a Scientific Advisory Board (SAB) member for Bayer HealthCare, sanofi-aventis, BI, Pfizer, BMS, and Eisai. Dr. Bassand received consultancy fees or honoraria from Bayer, Eli Lilly, Iroko, Astra Zeneca, and GSK. Dr. Fitzmaurice received honoraria from Bayer, BI, and sanofi-aventis. Dr. Goldhaber received research grants from BI, BMS, Eisai, EKOS, Johnson &amp; Johnson, and sanofi-aventis, and provided consultancy (all &lt;$10 K) for BI, BMS, Daiichi Sankyo, Eisai, EKOS, Medscape, Merck, Portola, and sanofi-aventis. Dr. Goto received research grants from sanofi-aventis, Eisai, BI, Otsuka, and Daiichi-Sankyo; and consultancy fees and honoraria from Eisai, sanofi-aventis, Otsuka, Bayer, Novartis, AstraZeneca, Asteras, Pfizer, Medtronic-Japan, Tanabe-Mitsubishi, Takeda, Daiichi-Sankyo, Mochida, and MSD. Dr. Haas has been a SAB member for Bayer, sanofi-aventis, BMS, and CSL-Behring; and received honoraria from Bayer, sanofi-aventis, BI, BMS, and Daiichi-Sankyo. Dr. Hacke received significant reimbursement from Bayer for work on the ROCKET-AF Executive Committee and for being a speaker at several industry-sponsored symposia; and reimbursement from BI for participation in Advisory Boards and industry-sponsored symposia. Dr. Lip has been a consultant for Bayer, Astellas, Merck, AstraZeneca, sanofi, BMS/Pfizer, Biotronik, Portola, and BI; and on the Speakers’ bureau for Bayer, BMS/Pfizer, Boehringer, and sanofi-aventis. Dr. Mantovani received research funding from Bayer Research, Pfizer, and BMS (in the field of AF) and Bayer, Boehringer-Ingelheim (outside AF); speaker’s fees from BMS, Boehringer-Ingelheim (In AF), Pfizer (outside AF); and Advisory Board fees from Bayer, Daiichi Sankyo (in AF) and Pfizer (outside AF). Dr. Turpie provided consultancy for Bayer, J &amp; J, Astellas, Merck, sanofi-aventis, Takeda, and Portola; and on Speakers’ Bureaus for Bayer, BMS/Pfizer, Boehringer-Ingelheim, J &amp; J, GSK, and sanofi-aventis. Dr. van Eickels is employed by Bayer Healthcare Pharmaceuticals, Berlin, Germany. Dr. Misselwitz is employed by Bayer Healthcare Pharmaceuticals, Berlin, Germany and owns a significant number of Bayer AG stocks. Dr. Rushton-Smith has provided consultancy for the European Society of Cardiology, Genzyme, Medtronic, sanofi-aventis, Servier and The Medicines Company. Dr. Verheugt has received educational and research grants from Bayer AG, Roche, Eli Lilly, and BI; and consultancy honoraria from Daiichi- Sankyo, Eli Lilly, Merck, The Medicines Company, and Bayer AG. The affiliations to the funding organization (Bayer AG) and the declarations provided in the competing interests form do not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.</p></fn>
<fn fn-type="con"><p>Conceived and designed the experiments: AKK IM JPB DF SZG SG SH WH GYHL LM FWAV ME FM AGGT. Performed the experiments: JPB DF SZG SG WH GYHL FWAV AGGT. Analyzed the data: PW. Wrote the paper: SRS. Had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis: GK.</p></fn>
</author-notes>
<pub-date pub-type="collection"><year>2013</year></pub-date>
<pub-date pub-type="epub"><day>21</day><month>5</month><year>2013</year></pub-date>
<volume>8</volume>
<issue>5</issue>
<elocation-id>e63479</elocation-id>
<history>
<date date-type="received"><day>25</day><month>1</month><year>2013</year></date>
<date date-type="accepted"><day>2</day><month>4</month><year>2013</year></date>
</history>
<permissions>
<copyright-year>2013</copyright-year>
<copyright-holder>Kakkar et al</copyright-holder><license xlink:type="simple"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions>
<abstract><sec>
<title>Background</title>
<p>Limited data are available on the characteristics, clinical management, and outcomes of patients with atrial fibrillation at risk of stroke, from a worldwide perspective. The aim of this study was to describe the baseline characteristics and initial therapeutic management of patients with non-valvular atrial fibrillation across the spectrum of sites at which these patients are treated.</p>
</sec><sec>
<title>Methods and Findings</title>
<p>The Global Anticoagulant Registry in the FIELD (GARFIELD) is an observational study of patients newly diagnosed with non-valvular atrial fibrillation. Enrollment into Cohort 1 (of 5) took place between December 2009 and October 2011 at 540 sites in 19 countries in Europe, Asia-Pacific, Central/South America, and Canada. Investigator sites are representative of the distribution of atrial fibrillation care settings in each country. Cohort 1 comprised 10,614 adults (≥18 years) diagnosed with non-valvular atrial fibrillation within the previous 6 weeks, with ≥1 investigator-defined stroke risk factor (not limited to those in existing risk-stratification schemes), and regardless of therapy. Data collected at baseline included demographics, medical history, care setting, nature of atrial fibrillation, and treatments initiated at diagnosis. The mean (SD) age of the population was 70.2 (11.2) years; 43.2% were women. Mean±SD CHADS<sub>2</sub> score was 1.9±1.2, and 57.2% had a score ≥2. Mean CHA<sub>2</sub>DS<sub>2</sub>-VASc score was 3.2±1.6, and 8,957 (84.4%) had a score ≥2. Overall, 38.0% of patients with a CHADS<sub>2</sub> score ≥2 did not receive anticoagulant therapy, whereas 42.5% of those at low risk (score 0) received anticoagulant therapy.</p>
</sec><sec>
<title>Conclusions</title>
<p>These contemporary observational worldwide data on non-valvular atrial fibrillation, collected at the end of the vitamin K antagonist-only era, indicate that these drugs are frequently not being used according to stroke risk scores and guidelines, with overuse in patients at low risk and underuse in those at high risk of stroke.</p>
</sec><sec>
<title>Trial Registration</title>
    <p>ClinicalTrials.gov <ext-link ext-link-type="uri" xlink:href="http://www.clinicaltrials.gov/ct2/show/NCT01090362" xlink:type="simple">TRI08888</ext-link></p>
</sec></abstract>
<funding-group><funding-statement>The GARFIELD Registry is sponsored by the Thrombosis Research Institute, London, UK. Funding of the registry is provided through an educational research grant from Bayer Pharma AG, Berlin, Germany. The funding source had no involvement in the data collection, data analysis, or data interpretation. The authors had full access to all the data, and the corresponding author had final responsibility for the decision to submit for publication.</funding-statement></funding-group><counts><page-count count="11"/></counts></article-meta>
</front>
<body><sec id="s1">
<title>Introduction</title>
<p>Atrial fibrillation (AF) is the most common heart rhythm disorder, with approximately one-quarter of individuals over 40 years of age developing this arrhythmia <xref ref-type="bibr" rid="pone.0063479-Steger1">[1]</xref>. The risk of stroke – including ischemic stroke, hemorrhagic stroke and cerebral bleeds – increases fivefold among patients with AF <xref ref-type="bibr" rid="pone.0063479-Kirchhof1">[2]</xref>. AF is also associated with a twofold excess risk of cardiovascular death and stroke within 1 year of observation <xref ref-type="bibr" rid="pone.0063479-Goto1">[3]</xref>.</p>
<p>Vitamin K antagonists (VKAs) have served as the cornerstone of stroke prevention in AF for several decades. Comprehensive evidence-based management guidelines <xref ref-type="bibr" rid="pone.0063479-Fuster1">[4]</xref>, <xref ref-type="bibr" rid="pone.0063479-Cairns1">[5]</xref>, <xref ref-type="bibr" rid="pone.0063479-Camm1">[6]</xref>, <xref ref-type="bibr" rid="pone.0063479-Camm2">[7]</xref> advocating the use of risk scores to identify patients most (or least) at risk of thrombotic or bleeding events are widely available. VKAs have a number of drawbacks, however, including a narrow therapeutic window, multiple food and drug interactions <xref ref-type="bibr" rid="pone.0063479-Holbrook1">[8]</xref>, and substantial inter-patient variability due to genetic or other factors, making their long-term use in clinical practice a challenge <xref ref-type="bibr" rid="pone.0063479-Ansell1">[9]</xref>. Physicians remain reluctant to prescribe anticoagulant prophylaxis in a large proportion of the population at risk for stroke, in part due to the limitations of VKAs, misperception of thrombotic risk <xref ref-type="bibr" rid="pone.0063479-Nieuwlaat1">[10]</xref>, and concern about bleeding complications, especially among the elderly <xref ref-type="bibr" rid="pone.0063479-Tulner1">[11]</xref>.</p>
<p>International observational studies have provided insights into the characteristics, risk profiles, management, and clinical outcomes of patients with various cardiovascular diseases <xref ref-type="bibr" rid="pone.0063479-Fox1">[XPATH ERROR: unknown variable "start2".]</xref>, <xref ref-type="bibr" rid="pone.0063479-Antikainen1">[13]</xref>. Less is known about individuals newly diagnosed with AF and perceived to be at risk of stroke by their physicians, and few data are available that reflect the broad range of healthcare settings for AF from a worldwide perspective.</p>
<p>The Global Anticoagulant Registry in the FIELD (GARFIELD) was initiated to describe everyday antithrombotic treatment patterns in patients newly diagnosed with non-valvular AF and one or more additional investigator-defined stroke risk factor across the spectrum of care settings at which these patients are treated, and to understand the burden of thromboembolic and bleeding complications in this population. This article presents the baseline characteristics and initial management of the first of five cohorts of over 10,000 patients enrolled in the GARFIELD Registry.</p>
</sec><sec id="s2" sec-type="methods">
<title>Methods</title>
<sec id="s2a">
<title>Ethics Statement</title>
<p>Independent ethics committee and hospital-based institutional review board approvals were obtained, as necessary, for the registry protocol. (See <xref ref-type="supplementary-material" rid="pone.0063479.s001">Ethics List S1</xref>) The registry is being conducted in accordance with the principles of the Declaration of Helsinki, local regulatory requirements, and the International Conference on Harmonisation–Good Pharmacoepidemiological and Clinical Practice guidelines. All patients provided written informed consent to participate.</p>
</sec><sec id="s2b">
<title>Trial Design and Participants</title>
<p>The GARFIELD Registry is an ongoing, observational, multicenter, worldwide study of adults (≥18 years) with non-valvular AF diagnosed according to standard local procedures within the past 6 weeks (electrocardiogram confirmation was not mandated) and ≥1 additional factor judged by the clinician to increase the patient’s risk of stroke; such factors were not prespecified in the protocol, nor were they limited to the factors in risk-stratification schemes such as CHADS<sub>2</sub> (cardiac failure, hypertension, age, diabetes, stroke [doubled]) <xref ref-type="bibr" rid="pone.0063479-Gage1">[14]</xref> or CHA<sub>2</sub>DS<sub>2</sub>-VASc (cardiac failure, hypertension, age ≥75 [doubled], diabetes, stroke [doubled]-vascular disease, age 65–74 and sex category [female]) <xref ref-type="bibr" rid="pone.0063479-Lip1">[15]</xref>.</p>
<p>Enrollment will take place in five independent, sequential cohorts <xref ref-type="bibr" rid="pone.0063479-Kakkar1">[16]</xref>. Patient enrollment into Cohort 1 took place between 21 December 2009 and 26 October 2011. In parallel with prospectively enrolled patients, a validation group (part retrospective and part prospective) was enrolled, comprising patients with established AF (i.e., AF first diagnosed ≥6 months and ≤24 months before enrollment) and ≥1 additional risk factor for stroke, regardless of therapy; in these patients, data were collected retrospectively to the time of first AF diagnosis, and prospectively up to 2 years after diagnosis. The rationale for the inclusion of the retrospective cohort was to evaluate, by comparing retrospective with prospective data, whether initiation of the GARFIELD Registry influenced AF management patterns on a site level; if the effect was zero or minimal, the data from both cohorts would to be combined.</p>
<p>Patients for whom follow-up up to 2 years was unlikely and those with a transient reversible cause of AF were excluded. Data were collected using an electronic case report form (eCRF) <xref ref-type="bibr" rid="pone.0063479-Kakkar1">[16]</xref>.</p>
<p>Investigator sites are representative of the distribution of AF treating care settings in each country. Sufficient sites were identified from the spectrum of care settings (office-based practice, hospital departments [neurology, cardiology, geriatrics, internal medicine, emergency], anticoagulant clinics, and general or family practice) to ensure proportional representation in all countries, and the lists and ratios were validated by national coordinators <xref ref-type="bibr" rid="pone.0063479-Kakkar1">[16]</xref>. Sites were selected randomly and recruited following a qualification call. Before site initiation, investigators were required to complete a training program that provided guidance on patient screening, enrollment, and follow-up. Patients were enrolled consecutively, as stipulated in the protocol.</p>
</sec><sec id="s2c">
<title>Procedures</title>
<p>Data collected at baseline included patient and clinical characteristics at diagnosis, medical history (including cardiovascular and bleeding history), care setting at diagnosis, type of AF, date and method of diagnosis, symptoms, antithrombotic treatment at diagnosis (VKAs, factor Xa inhibitors, thrombin inhibitors, and heparins), and reasons for not providing VKAs (when applicable). Ethnicity was classified by the investigator, in agreement with the patient, to investigate ethnic differences in the prevalence of AF <xref ref-type="bibr" rid="pone.0063479-Borzecki1">[17]</xref>.</p>
<p>Heart failure, hypertension (blood pressure &gt;140/90 mmHg or treated hypertension), age ≥75 years, diabetes mellitus, and prior stroke or transient ischemic attack were used to calculate, retrospectively, stroke risk according to the CHADS<sub>2</sub> risk index <xref ref-type="bibr" rid="pone.0063479-Gage1">[14]</xref>. Additionally, left ventricular ejection fraction &lt;40%, prior thromboembolism, vascular disease (acute coronary syndrome, peripheral artery disease), age 65–74 years, and female gender were used to determine stroke risk using the CHA<sub>2</sub>DS<sub>2</sub>-VASc score <xref ref-type="bibr" rid="pone.0063479-Lip1">[15]</xref>.</p>
<p>Registry data were captured in electronic CRFs (designed by Dendrite Clinical Systems Ltd, Henley-on-Thames, UK, who are also responsible for ongoing database programme management). Data collection and entry are managed by Quintiles (Durham, NC, USA), who oversee all operational aspects of the programme, apart from in the UK where these aspects are undertaken by The University of Birmingham Department of Primary Care Clinical Sciences. Submitted data are examined by the coordinating center (Thrombosis Research Institute, London) to ascertain their completeness and accuracy, and data queries are sent to participating sites. Data are extracted for each analysis and analyzed by an independent statistician (PW). Confidentiality and anonymity of all patients enrolled into this registry was maintained at all times.</p>
</sec><sec id="s2d">
<title>Statistical Analysis</title>
<p>Continuous variables are expressed as mean±standard deviation (SD). Categorical variables are expressed as frequencies and percentages. Differences between cohorts were tested for statistical significance using the Chi-squared test for categorical variables and the unpaired <italic>t</italic>-test for continuous variables. Statistical analysis was performed using SAS® software version 9.1.3 (SAS Institute Inc., Cary, NC, USA).</p>
</sec></sec><sec id="s3">
<title>Results</title>
<p>A total of 10,614 patients were enrolled into Cohort 1 at 540 sites in 19 countries in Asia-Pacific (n = 2,940, 27.7%; Australia, China, Korea, Japan), Canada (n = 237, 2.2%), Europe (n = 6,580, 62.0%; Austria, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Spain, Sweden, UK), and Central/South America (n = 857, 8.1%; Brazil, Mexico) (<xref ref-type="fig" rid="pone-0063479-g001">Figure 1</xref>). More than half of the patients (n = 6,262, 59.0%) were enrolled by cardiologists, 20.8% (n = 2,208) by internal medicine specialists, 17.7% (n = 1,880) by primary care/general practice physicians, 2.1% (n = 218) by neurologists, and 0.4% by geriatricians (n = 40) (data for six patients unknown). Each site recruited 20 consecutive patients on average. Baseline data were locked in 99.9% of the patients.</p>
<fig id="pone-0063479-g001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063479.g001</object-id><label>Figure 1</label><caption>
<title>Number of patients enrolled per country in Cohort 1 (n = 10,614).</title>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063479.g001" position="float" xlink:type="simple"/></fig>
<p>Overall, 29.7% of patients had new or unclassified AF, 27.5% had paroxysmal AF, 17.9% had persistent AF, and 24.9% had permanent AF. White patients represented the largest percentage of the population (62.2%), followed by Asians (7.6% Chinese and 17.0% other Asian ethnicities); the remaining patients were White–Hispanic/Latino (8.2%), mixed/other (1.2%), Afro-Caribbean (0.3%), or of unknown race (3.5%).</p>
<p>Of the overall cohort of 10,614 patients, 5,089 (47.9%) were enrolled retrospectively and 5,525 (52.1%) prospectively (see <xref ref-type="supplementary-material" rid="pone.0063479.s002">Figure S1</xref> for year of diagnosis). No statistical or clinical concerns were apparent regarding any of the differences in baseline characteristics of the retrospectively and prospectively enrolled patients that would preclude combining the data from these two groups (<xref ref-type="supplementary-material" rid="pone.0063479.s004">Table S1</xref>, <xref ref-type="supplementary-material" rid="pone.0063479.s003">Figure S2</xref>), hence combined results are reported.</p>
<p>Baseline characteristics are given in <xref ref-type="table" rid="pone-0063479-t001">Table 1</xref>. The mean±SD age was 70.2±11.2 years and 69.5% of patients were &gt;65 years; 43.2% were women. More than three-quarters (77.8%) of the population had hypertension, 22.0% had diabetes mellitus, 21.0% had congestive heart failure, and 9.7% of patients had a history of stroke. Over one-third (35.2%) of patients were current or previous smokers. The mean±SD CHADS<sub>2</sub> score was 1.9±1.2, and 57.2% (6,062/10,607) of patients had a score ≥2, indicating a moderate to high risk of stroke and guideline qualification for oral anticoagulant treatment. Mean±SD CHA<sub>2</sub>DS<sub>2</sub>-VASc score was 3.2±1.6, and 84.4% (8,957/10,607) had a score ≥2. The distributions of risk scores for stroke are shown in <xref ref-type="fig" rid="pone-0063479-g002">Figure 2</xref>.</p>
<fig id="pone-0063479-g002" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063479.g002</object-id><label>Figure 2</label><caption>
<title>Distribution of CHADS<sub>2</sub> and CHA<sub>2</sub>DS<sub>2</sub>-VASc scores (n = 10,607) (scores not available for 7 patients).</title>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063479.g002" position="float" xlink:type="simple"/></fig><table-wrap id="pone-0063479-t001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063479.t001</object-id><label>Table 1</label><caption>
<title>Patient baseline characteristics: Cohort 1 of the GARFIELD Registry.</title>
</caption><alternatives><graphic id="pone-0063479-t001-1" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063479.t001" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1">Variable</td>
<td align="left" rowspan="1" colspan="1">All patients (n = 10,614)</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Age, mean (SD), years</td>
<td align="left" rowspan="1" colspan="1">70.2±11.2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Age group, <italic>n</italic> (%)</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">&gt;65 years</td>
<td align="left" rowspan="1" colspan="1">7,374 (69.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">≥75 years</td>
<td align="left" rowspan="1" colspan="1">4,091 (38.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">65–74 years</td>
<td align="left" rowspan="1" colspan="1">3,540 (33.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Women, <italic>n</italic> (%)</td>
<td align="left" rowspan="1" colspan="1">4,580 (43.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Body mass index,<xref ref-type="table-fn" rid="nt102">a</xref> mean (SD), kg/m<sup>2</sup></td>
<td align="left" rowspan="1" colspan="1">27.5±5.3</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Smoking status (current/previous)<xref ref-type="table-fn" rid="nt103">b</xref>, <italic>n</italic> (%)</td>
<td align="left" rowspan="1" colspan="1">3,504 (35.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pulse,<xref ref-type="table-fn" rid="nt104">c</xref> mean (SD), bpm</td>
<td align="left" rowspan="1" colspan="1">86.6±25.1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Medical history, <italic>n</italic> (%)</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Acute coronary syndromes (myocardial infarction or unstable angina)</td>
<td align="left" rowspan="1" colspan="1">1,060 (10.0)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Congestive heart failure<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">2,229 (21.0)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Coronary artery disease<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">2,035 (19.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hypercholesterolemia<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">4,159 (39.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hypertension<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">8,249 (77.8)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Family history of cardiac disease<xref ref-type="table-fn" rid="nt106">e,f</xref></td>
<td align="left" rowspan="1" colspan="1">1,940 (18.3)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Diabetes mellitus<xref ref-type="table-fn" rid="nt107">f</xref></td>
<td align="left" rowspan="1" colspan="1">2,330 (22.0)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Stroke<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">1,026 (9.7)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Stroke or transient ischaemic attack<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">1,528 (14.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Left ventricular ejection fraction &lt;40%<xref ref-type="table-fn" rid="nt108">g</xref></td>
<td align="left" rowspan="1" colspan="1">586 (9.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Chronic renal disease<xref ref-type="table-fn" rid="nt109">h</xref></td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Mild renal dysfunction (GFR 60–89 mL/min)</td>
<td align="left" rowspan="1" colspan="1">1,502 (19.6)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Moderate renal dysfunction (GFR 30–59 mL/min)</td>
<td align="left" rowspan="1" colspan="1">871 (11.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Severe renal dysfunction or renal failure (GFR &lt;30 mL/min)</td>
<td align="left" rowspan="1" colspan="1">154 (2.0)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Peripheral artery disease<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">743 (7.0)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Carotid occlusive disease<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">368 (3.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Other thromboembolism<xref ref-type="table-fn" rid="nt105">d,i</xref></td>
<td align="left" rowspan="1" colspan="1">150 (1.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Systemic embolism<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">80 (0.8)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pulmonary embolism or deep vein thrombosis<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">304 (2.9)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bleeding<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">368 (3.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Heavy alcohol consumption<xref ref-type="table-fn" rid="nt111">j</xref></td>
<td align="left" rowspan="1" colspan="1">215 (2.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Cirrhosis<xref ref-type="table-fn" rid="nt105">d</xref></td>
<td align="left" rowspan="1" colspan="1">55 (0.5)</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot><fn id="nt101"><label/><p>Abbreviation: GFR, glomerular filtration rate.</p></fn><fn id="nt102"><label>a</label><p>Data not available for 1,611 patients.</p></fn><fn id="nt103"><label>b</label><p>Data not available for 671 patients.</p></fn><fn id="nt104"><label>c</label><p>Data not available for 1,372 patients.</p></fn><fn id="nt105"><label>d</label><p>Data not available for 6 patients.</p></fn><fn id="nt106"><label>e</label><p>First-degree relative with premature cardiac history (age &lt;55 years [male], &lt;65 years [female]).</p></fn><fn id="nt107"><label>f</label><p>Data not available for 7 patients.</p></fn><fn id="nt108"><label>g</label><p>Data not available for 4,448 patients.</p></fn><fn id="nt109"><label>h</label><p>Data not available for 2,954 patients.</p></fn><fn id="nt110"><label>i</label><p>For example, central venous thrombosis, retinal occlusion.</p></fn><fn id="nt111"><label>j</label><p>Investigator defined; data not available for 1,048 patients.</p></fn></table-wrap-foot></table-wrap>
<p>At diagnosis, 55.8% of patients overall were given a VKA for stroke prevention: 45.2% (n = 4,797) received a VKA alone and 10.6% (n = 1,128) received both a VKA and an antiplatelet drug (<xref ref-type="fig" rid="pone-0063479-g003">Figure 3</xref>). A minority of patients (4.5%, n = 475) received a novel oral factor Xa inhibitor or direct thrombin inhibitor. Just over one-quarter (25.3%, n = 2,681) of the patients received an antiplatelet drug alone and 14.4% (n = 1,533) received none of these antithrombotic drugs. Use of antithrombotic drugs at AF diagnosis and contraindications to anticoagulant therapy are detailed in <xref ref-type="table" rid="pone-0063479-t002">Table 2</xref>. The most frequently given antiplatelet was aspirin. Use of all antithrombotic drugs was higher in patients with a CHADS<sub>2</sub> score of 2–6 versus those with a score of 0 or 1. Contraindications to anticoagulant therapy were reported in 827 (7.8%) of patients.</p>
<fig id="pone-0063479-g003" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063479.g003</object-id><label>Figure 3</label><caption>
<title>Use of antithrombotic therapies, overall and according to (A) CHADS<sub>2</sub> score and (B) CHA<sub>2</sub>DS<sub>2</sub>VASc score (n = 10,607).</title>
<p>AP indicates antiplatelet; FXa/DTI, activated coagulation factor X inhibitor/direct thrombin inhibitor (irrespective of AP use); VKA, vitamin K antagonist.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063479.g003" position="float" xlink:type="simple"/></fig><table-wrap id="pone-0063479-t002" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063479.t002</object-id><label>Table 2</label><caption>
<title>Use of antithrombotic drugs at diagnosis and contraindications to anticoagulant therapy, overall and according to CHADS<sub>2</sub> scores of 0 or 1 and 2–6.</title>
</caption><alternatives><graphic id="pone-0063479-t002-2" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063479.t002" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1">Drug</td>
<td align="left" rowspan="1" colspan="1">All patients (n = 10,614)</td>
<td align="left" rowspan="1" colspan="1">Patients with CHADS<sub>2</sub>score of 0 or 1 (n = 4,367)</td>
<td align="left" rowspan="1" colspan="1">Patients with CHADS<sub>2</sub>score of 2–6 (n = 6,240)</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Antiplatelet<xref ref-type="table-fn" rid="nt112">a,b</xref>, <italic>n</italic> (%)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Aspirin</td>
<td align="left" rowspan="1" colspan="1">2,713 (26.5)</td>
<td align="left" rowspan="1" colspan="1">1166 (28.4)</td>
<td align="left" rowspan="1" colspan="1">1547 (25.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Thienopyridine</td>
<td align="left" rowspan="1" colspan="1">713 (7.0)</td>
<td align="left" rowspan="1" colspan="1">229 (5.6)</td>
<td align="left" rowspan="1" colspan="1">484 (7.9)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Glycoprotein IIb/IIIa inhibitor</td>
<td align="left" rowspan="1" colspan="1">16 (0.2)</td>
<td align="left" rowspan="1" colspan="1">6 (0.1)</td>
<td align="left" rowspan="1" colspan="1">10 (0.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Prostaglandin analogue</td>
<td align="left" rowspan="1" colspan="1">18 (0.2)</td>
<td align="left" rowspan="1" colspan="1">6 (0.1)</td>
<td align="left" rowspan="1" colspan="1">12 (0.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Other antiplatelet</td>
<td align="left" rowspan="1" colspan="1">102 (1.0)</td>
<td align="left" rowspan="1" colspan="1">30 (0.7)</td>
<td align="left" rowspan="1" colspan="1">72 (1.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Anticoagulant drugs<xref ref-type="table-fn" rid="nt112">a,c</xref>, <italic>n</italic> (%)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Vitamin K antagonist</td>
<td align="left" rowspan="1" colspan="1">6,080 (58.2)</td>
<td align="left" rowspan="1" colspan="1">2218 (52.8)</td>
<td align="left" rowspan="1" colspan="1">3861 (61.9)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Heparin (unfractionated or low-molecular-weight)</td>
<td align="left" rowspan="1" colspan="1">410 (3.9)</td>
<td align="left" rowspan="1" colspan="1">151 (3.6)</td>
<td align="left" rowspan="1" colspan="1">259 (4.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Factor Xa inhibitor (oral or injectable)</td>
<td align="left" rowspan="1" colspan="1">312 (3.0)</td>
<td align="left" rowspan="1" colspan="1">102 (2.4)</td>
<td align="left" rowspan="1" colspan="1">210 (3.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Direct thrombin inhibitor (e.g., argatroban, dabigatran,bivalirudin, desirudin)</td>
<td align="left" rowspan="1" colspan="1">128 (1.2)</td>
<td align="left" rowspan="1" colspan="1">43 (1.0)</td>
<td align="left" rowspan="1" colspan="1">85 (1.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Heparinoid (e.g., danaparoid, sulodexide, dermatan sulfate)</td>
<td align="left" rowspan="1" colspan="1">89 (0.9)</td>
<td align="left" rowspan="1" colspan="1">35 (0.8)</td>
<td align="left" rowspan="1" colspan="1">54 (0.9)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Other anticoagulant (e.g., defibrotide, ramatroban,antithrombin III, protein C)</td>
<td align="left" rowspan="1" colspan="1">31 (0.3)</td>
<td align="left" rowspan="1" colspan="1">9 (0.2)</td>
<td align="left" rowspan="1" colspan="1">22 (0.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Contraindication to anticoagulant therapy, <italic>n</italic> (%)<xref ref-type="table-fn" rid="nt112">a</xref></td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Excessive bleeding risk</td>
<td align="left" rowspan="1" colspan="1">289 (2.7)</td>
<td align="left" rowspan="1" colspan="1">88 (2.0)</td>
<td align="left" rowspan="1" colspan="1">201 (3.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Frequent falls or mechanical risk</td>
<td align="left" rowspan="1" colspan="1">238 (2.2)</td>
<td align="left" rowspan="1" colspan="1">38 (0.9)</td>
<td align="left" rowspan="1" colspan="1">200 (3.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Risk of drug interaction</td>
<td align="left" rowspan="1" colspan="1">39 (0.4)</td>
<td align="left" rowspan="1" colspan="1">13 (0.3)</td>
<td align="left" rowspan="1" colspan="1">26 (0.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Allergy</td>
<td align="left" rowspan="1" colspan="1">11 (0.1)</td>
<td align="left" rowspan="1" colspan="1">2 (&lt;0.1)</td>
<td align="left" rowspan="1" colspan="1">9 (0.1)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Other contraindication</td>
<td align="left" rowspan="1" colspan="1">249 (2.3)</td>
<td align="left" rowspan="1" colspan="1">76 (1.7)</td>
<td align="left" rowspan="1" colspan="1">174 (2.8)</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot><fn id="nt112"><label>a</label><p>Categories are not mutually exclusive.</p></fn><fn id="nt113"><label>b</label><p>Data not available for 360 patients.</p></fn><fn id="nt114"><label>c</label><p>Data not available for 171 patients.</p></fn></table-wrap-foot></table-wrap>
<p>The use of anticoagulant therapy by CHADS<sub>2</sub> risk score is shown in <xref ref-type="fig" rid="pone-0063479-g003">Figure 3A</xref>. VKA use (alone or with an antiplatelet) increased as risk level increased, up to a maximum of 63% at a CHADS<sub>2</sub> score of 3 and 4, then decreased thereafter. Use of novel factor Xa inhibitors and direct thrombin inhibitors was low across all risk categories. Overall, 38.0% (2,302/6,062) of patients with a CHADS<sub>2</sub> score ≥2 did not receive anticoagulant therapy; conversely, 42.5% (364/857) of those at low risk (score of 0) received anticoagulant therapy. Similar patterns were observed when risk was assessed according to the CHA<sub>2</sub>DS<sub>2</sub>-VASc score: 40.7% (3,645/8,957) of the patients with a score ≥2 did not receive anticoagulant therapy, and 38.7% (118/305) of patients with a score of 0 received anticoagulant therapy (<xref ref-type="fig" rid="pone-0063479-g003">Figure 3B</xref>). For both risk scores, use of antiplatelet therapy showed an initial decline with rising risk level.</p>
<p>The reasons for not providing VKA therapy to patients at moderate to high risk of stroke are given in <xref ref-type="table" rid="pone-0063479-t003">Table 3</xref>. Almost half of the reasons for not providing VKA related to physician choice.</p>
<table-wrap id="pone-0063479-t003" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063479.t003</object-id><label>Table 3</label><caption>
<title>Main reasons why vitamin K antagonists were not given in patients with a CHADS<sub>2</sub> score ≥2.</title>
</caption><alternatives><graphic id="pone-0063479-t003-3" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063479.t003" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1">Reason, n (%)</td>
<td align="left" rowspan="1" colspan="1">Patients with CHADS<sub>2</sub>≥2 (n = 2,302)</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Alcohol misuse</td>
<td align="left" rowspan="1" colspan="1">11 (0.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Already taking antiplatelet drug for another medical condition</td>
<td align="left" rowspan="1" colspan="1">117 (5.1)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Patient refusal</td>
<td align="left" rowspan="1" colspan="1">165 (7.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Previous bleeding event</td>
<td align="left" rowspan="1" colspan="1">55 (2.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Taking medication contraindicated or cautioned for use with vitamin K antagonists</td>
<td align="left" rowspan="1" colspan="1">16 (0.7)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Other</td>
<td align="left" rowspan="1" colspan="1">239 (10.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Unknown</td>
<td align="left" rowspan="1" colspan="1">587 (25.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Physician’s choice</td>
<td align="left" rowspan="1" colspan="1">1,112 (48.3)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bleeding risk</td>
<td align="left" rowspan="1" colspan="1">170 (7.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Concern over patient compliance</td>
<td align="left" rowspan="1" colspan="1">121 (5.3)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Guideline recommendation</td>
<td align="left" rowspan="1" colspan="1">32 (1.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Fall risk</td>
<td align="left" rowspan="1" colspan="1">150 (6.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Low risk of stroke</td>
<td align="left" rowspan="1" colspan="1">95 (4.1)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Other</td>
<td align="left" rowspan="1" colspan="1">544 (23.6)</td>
</tr>
</tbody>
</table>
</alternatives></table-wrap></sec><sec id="s4">
<title>Discussion</title>
<p>This large, ongoing, international observational study of patients newly diagnosed with non-valvular AF and one or more additional risk factors for stroke provides a unique perspective of AF management at the end of the VKA-only era, transitioning into the period in which novel oral anticoagulants present an alternative treatment for stroke prevention. The data illustrate the high rate of comorbid conditions in this population, including hypertension, hypercholesterolemia, diabetes mellitus, heart failure, and coronary artery disease. A sizable proportion of the population had a history of stroke or transient ischemic attack. Nearly 6/10 patients presented with a CHADS<sub>2</sub> score ≥2 and more than 8/10 with a CHA<sub>2</sub>DS<sub>2</sub>VASc score ≥2. These figures correlate with an annual adjusted stroke rate ranging from 3.4% for a CHADS<sub>2</sub> score of 2 to 18.2% for a score of 6 <xref ref-type="bibr" rid="pone.0063479-Gage1">[14]</xref>, and from 2.2% for a CHA<sub>2</sub>DS<sub>2</sub>-VASc score of 2 to 15.2% for a score of 9 <xref ref-type="bibr" rid="pone.0063479-Lip1">[15]</xref>. Despite this high level of thromboembolic risk, overall use of anticoagulant therapy was relatively low. A total of 40.7% of the patients with a CHA<sub>2</sub>DS<sub>2</sub>-VASc score ≥2 did not receive guideline-recommended anticoagulant prophylaxis <xref ref-type="bibr" rid="pone.0063479-Cairns1">[5]</xref>, <xref ref-type="bibr" rid="pone.0063479-Camm1">[6]</xref>, <xref ref-type="bibr" rid="pone.0063479-Camm2">[7]</xref>, <xref ref-type="bibr" rid="pone.0063479-Fuster2">[18]</xref>. Conversely, 38.7% of the patients with a CHA<sub>2</sub>DS<sub>2</sub>-VASc score of 0 received anticoagulant therapy; these individuals are regarded as “truly” low-risk subjects, with a stroke/thromboembolism event rate of 0.84 (95% confidence interval [CI], 0.65–1.08) per 100 person-years in patients with AF, compared with 3.49 (95% CI, 3.31–3.68) per 100 person-years for AF patients with a CHADS<sub>2</sub> score of 0 or 1 <xref ref-type="bibr" rid="pone.0063479-Olesen1">[19]</xref>. Our present study, in which risk stratification was done retrospectively through a review of data collected in the eCRFs, indicates that the identification in “real-world” practice of patients perceived to be at risk of stroke is often not based on evidence-based risk schemes and guidelines <xref ref-type="bibr" rid="pone.0063479-Camm1">[6]</xref>. There appears to be overuse of anticoagulant therapy in patients at low risk of stroke or systemic embolism, and underuse in those at moderate to high risk. Physicians’ clinical judgment of stroke risk therefore appears to incorporate factors beyond those included in CHADS<sub>2</sub> and CHA<sub>2</sub>DS<sub>2</sub>-VASc.</p>
<sec id="s4a">
<title>Comparison of GARFIELD with Other Registries in Non-valvular AF</title>
<p>One of the largest multinational studies in this field is the Euro Heart Survey on Atrial Fibrillation, conducted between 2003 and 2004 in more than 5,000 ambulatory and hospitalized patients <xref ref-type="bibr" rid="pone.0063479-Nieuwlaat2">[20]</xref>. The Euro Heart Survey provided a snapshot of the management of AF across 35 European Society of Cardiology member countries and revealed discordance between guidelines and everyday clinical practice. Oral anticoagulation was prescribed in 67% of patients considered eligible for VKA treatment according to guidelines <xref ref-type="bibr" rid="pone.0063479-Fuster1">[4]</xref>, but also in 49% of ineligible patients. The Euro Heart Survey did indicate an increase in use of oral anticoagulant therapy with increasing stroke risk <xref ref-type="bibr" rid="pone.0063479-Nieuwlaat3">[21]</xref>, in contrast to the results of a large nationwide retrospective US medical claims database study involving over 171,000 patients with AF (51,907 of whom had newly diagnosed AF), which indicated a low use of warfarin across all risk categories (overall rate 42.6%; 49.5% in patients newly diagnosed with AF) <xref ref-type="bibr" rid="pone.0063479-Zimetbaum1">[22]</xref>. Both studies were consistent, however, in reporting underuse of oral anticoagulation in patients at elevated risk and overuse in those at low risk. Our present data show no apparent improvement in adherence to evidence-based guidelines <xref ref-type="bibr" rid="pone.0063479-Cairns1">[5]</xref>, <xref ref-type="bibr" rid="pone.0063479-Camm1">[6]</xref>, <xref ref-type="bibr" rid="pone.0063479-Fuster2">[18]</xref> for AF in recent years.</p>
<p>Despite mandating the presence of one or more additional stroke risk factors in an effort to exclude patients with lone AF, the GARFIELD population fares as relatively low risk compared with other observational cohorts, and is substantially lower risk than the populations included in randomized trials of novel oral anticoagulant drugs (<xref ref-type="table" rid="pone-0063479-t004">Table 4</xref>) <xref ref-type="bibr" rid="pone.0063479-Connolly1">[23]</xref>, <xref ref-type="bibr" rid="pone.0063479-Granger1">[24]</xref>, <xref ref-type="bibr" rid="pone.0063479-Patel1">[25]</xref>, <xref ref-type="bibr" rid="pone.0063479-Connolly2">[26]</xref>. “Additional risk factors” were investigator defined in order to identify patients that physicians themselves perceived – during the course of their usual practice – to be at risk of stroke. This approach contrasts with other studies that mandated the presence of one or more specific risk factors, such as prior stroke or transient ischemic attack, hypertension, and heart failure, resulting in much higher-risk populations than typically seen in everyday clinical practice. Further, other data sets have been based on patients identified in emergency departments or hospitalized for another condition, who may be at high risk of a poor outcome <xref ref-type="bibr" rid="pone.0063479-Healey1">[27]</xref>. In the nationwide US Outcomes Registry for Better Treatment of Atrial Fibrillation (ORBIT-AF) <xref ref-type="bibr" rid="pone.0063479-Piccini1">[28]</xref>, for example, the mean±SD CHADS<sub>2</sub> score was 2.3±1.3 <xref ref-type="bibr" rid="pone.0063479-Piccini1">[28]</xref>, the mean age was 76 years, and approximately 30% of patients had diabetes and 30% heart failure. In contrast, in GARFIELD, the mean CHADS<sub>2</sub> score was 1.9±1.2, mean age was 70 years, and only 22% patients had diabetes and 21% had heart failure. The differences in these two study populations may be due the fact that GARFIELD enrolled patients newly diagnosed with AF whereas ORBIT-AF enrolled patients with prevalent or incident AF.</p>
<table-wrap id="pone-0063479-t004" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063479.t004</object-id><label>Table 4</label><caption>
<title>Baseline characteristics: Randomized clinical trials versus the GARFIELD Registry.</title>
</caption><alternatives><graphic id="pone-0063479-t004-4" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063479.t004" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">GARFIELD(Cohort 1)</td>
<td colspan="3" align="left" rowspan="1">RELY-AF <xref ref-type="bibr" rid="pone.0063479-Connolly3">[31]</xref> (dabigatran)</td>
<td colspan="2" align="left" rowspan="1">ROCKET AF <xref ref-type="bibr" rid="pone.0063479-Patel2">[32]</xref> (rivaroxaban)</td>
<td colspan="2" align="left" rowspan="1">AVERROES <xref ref-type="bibr" rid="pone.0063479-Connolly2">[26]</xref> (apixaban)</td>
<td colspan="2" align="left" rowspan="1">ARISTOTLE (apixaban) <xref ref-type="bibr" rid="pone.0063479-Granger2">[33]</xref></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">(n = 10,614)</td>
<td align="left" rowspan="1" colspan="1">D 110(n = 6015)</td>
<td align="left" rowspan="1" colspan="1">D 150(n = 6076)</td>
<td align="left" rowspan="1" colspan="1">Warf(n = 6022)</td>
<td align="left" rowspan="1" colspan="1">Rivarox(n = 7131)</td>
<td align="left" rowspan="1" colspan="1">Warfarin(n = 7133)</td>
<td align="left" rowspan="1" colspan="1">Apixaban(n = 2808)</td>
<td align="left" rowspan="1" colspan="1">Aspirin(n = 2791)</td>
<td align="left" rowspan="1" colspan="1">Apixaban(n = 9120)</td>
<td align="left" rowspan="1" colspan="1">Warfarin(n = 9081)</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Age in years</td>
<td align="left" rowspan="1" colspan="1">70±11</td>
<td align="left" rowspan="1" colspan="1">71±9</td>
<td align="left" rowspan="1" colspan="1">72±9</td>
<td align="left" rowspan="1" colspan="1">72±9</td>
<td align="left" rowspan="1" colspan="1">73 (65,78)</td>
<td align="left" rowspan="1" colspan="1">73 (65,78)</td>
<td align="left" rowspan="1" colspan="1">70±9</td>
<td align="left" rowspan="1" colspan="1">70±10</td>
<td align="left" rowspan="1" colspan="1">70 (63,76)</td>
<td align="left" rowspan="1" colspan="1">70 (63,76)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Women</td>
<td align="left" rowspan="1" colspan="1">43</td>
<td align="left" rowspan="1" colspan="1">36</td>
<td align="left" rowspan="1" colspan="1">37</td>
<td align="left" rowspan="1" colspan="1">37</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">41</td>
<td align="left" rowspan="1" colspan="1">42</td>
<td align="left" rowspan="1" colspan="1">36</td>
<td align="left" rowspan="1" colspan="1">35</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">BMI (kg/m<sup>2</sup>)</td>
<td align="left" rowspan="1" colspan="1">28±5</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">28 (25,32)</td>
<td align="left" rowspan="1" colspan="1">28 (25,32)</td>
<td align="left" rowspan="1" colspan="1">28±5</td>
<td align="left" rowspan="1" colspan="1">28±5</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Age ≥75 years</td>
<td align="left" rowspan="1" colspan="1">39</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">31</td>
<td align="left" rowspan="1" colspan="1">31</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Prior stroke/TIA</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Diabetes</td>
<td align="left" rowspan="1" colspan="1">22</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">25</td>
<td align="left" rowspan="1" colspan="1">25</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Prior myocardial infarction</td>
<td align="left" rowspan="1" colspan="1">10<xref ref-type="table-fn" rid="nt116">*</xref></td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">15</td>
<td align="left" rowspan="1" colspan="1">14</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hypertension</td>
<td align="left" rowspan="1" colspan="1">78</td>
<td align="left" rowspan="1" colspan="1">79</td>
<td align="left" rowspan="1" colspan="1">79</td>
<td align="left" rowspan="1" colspan="1">79</td>
<td align="left" rowspan="1" colspan="1">90</td>
<td align="left" rowspan="1" colspan="1">91</td>
<td align="left" rowspan="1" colspan="1">86</td>
<td align="left" rowspan="1" colspan="1">87</td>
<td align="left" rowspan="1" colspan="1">87</td>
<td align="left" rowspan="1" colspan="1">88</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Heart failure</td>
<td align="left" rowspan="1" colspan="1">21</td>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">63</td>
<td align="left" rowspan="1" colspan="1">62</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">38</td>
<td align="left" rowspan="1" colspan="1">36<xref ref-type="table-fn" rid="nt117">†</xref></td>
<td align="left" rowspan="1" colspan="1">35<xref ref-type="table-fn" rid="nt117">†</xref></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Classification of AF</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Paroxysmal</td>
<td align="left" rowspan="1" colspan="1">28</td>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">33</td>
<td align="left" rowspan="1" colspan="1">34</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">27</td>
<td align="left" rowspan="1" colspan="1">27</td>
<td align="left" rowspan="1" colspan="1">15</td>
<td align="left" rowspan="1" colspan="1">16</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Persistent</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">31</td>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">81</td>
<td align="left" rowspan="1" colspan="1">81</td>
<td align="left" rowspan="1" colspan="1">21</td>
<td align="left" rowspan="1" colspan="1">21</td>
<td align="left" rowspan="1" colspan="1">85</td>
<td align="left" rowspan="1" colspan="1">84</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Permanent</td>
<td align="left" rowspan="1" colspan="1">25</td>
<td align="left" rowspan="1" colspan="1">35</td>
<td align="left" rowspan="1" colspan="1">36</td>
<td align="left" rowspan="1" colspan="1">34</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">52</td>
<td align="left" rowspan="1" colspan="1">52</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Newly diagnosed or new onset</td>
<td align="left" rowspan="1" colspan="1">30</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">1.4</td>
<td align="left" rowspan="1" colspan="1">1.4</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CHADS<sub>2</sub> score</td>
<td align="left" rowspan="1" colspan="1">1.9±1.2</td>
<td align="left" rowspan="1" colspan="1">2.1±1.1</td>
<td align="left" rowspan="1" colspan="1">2.2±1.2</td>
<td align="left" rowspan="1" colspan="1">2.1±1.1</td>
<td align="left" rowspan="1" colspan="1">3.5±0.9</td>
<td align="left" rowspan="1" colspan="1">3.5±1.0</td>
<td align="left" rowspan="1" colspan="1">2.0±1.1</td>
<td align="left" rowspan="1" colspan="1">2.1±1.1</td>
<td align="left" rowspan="1" colspan="1">2.1±1.1</td>
<td align="left" rowspan="1" colspan="1">2.1±1.1</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot><fn id="nt115"><label/><p>Data given as %, mean±SD or median (IQR).</p></fn><fn id="nt116"><label>*</label><p>History of acute coronary syndrome.</p></fn><fn id="nt117"><label>†</label><p>Heart failure or reduced left ventricular ejection fraction.</p></fn><fn id="nt118"><label/><p>AF, atrial fibrillation; BMI, body mass index; CHADS<sub>2</sub>, Cardiac failure, Hypertension, Age, Diabetes, Stroke (Doubled), COPD, chronic obstructive pulmonary disease; D, dabigatran; SD, standard deviation; TIA, transient ischaemic attack.</p></fn></table-wrap-foot></table-wrap>
<p>RealiseAF was a large, international, contemporary, cross-sectional study conducted in 10,523 outpatients in 26 countries between 2009 and 2010 <xref ref-type="bibr" rid="pone.0063479-Steg1">[29]</xref>, with the aim of investigating the success of rhythm versus rate control, and the impact of control on patients’ clinical symptoms and quality of life. The patients in this registry were slightly younger than those in GARFIELD (67 vs. 70 years), and they had higher rates of heart failure (46% vs. 21%), coronary artery disease (32% vs. 19%) and hypercholesterolemia (46% vs. 39%); these differences in baseline characteristics likely reflect differences in the treatment settings. In RealiseAF, for example, all of the patients were enrolled by cardiologists or internists (hospital- and office-based), whereas in GARFIELD the aim was to reflect the spectrum of care settings in each country; consequently 80% of the patients were enrolled by cardiologists or internists, 18% were enrolled by primary care/general practice physicians, and 2.1% were enrolled by neurologists. Furthermore, 62% of the RealiseAF population was diagnosed with AF &gt;12 months previously, whereas patients in GARFIELD were newly diagnosed, a finding supported by the higher rate of permanent AF in RealiseAF (46% vs. 25%).</p>
<p>Several other large registries in AF have been launched recently, including the international Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF), and the nationwide US Practice INNovation And Clinical Excellence (PINNACLE-AF) registry – part of the American College of Cardiology National Cardiovascular Data Registry. Physician participation in PINNACLE-AF is voluntary, and the study will report on outcomes in 121,000 patients with AF <xref ref-type="bibr" rid="pone.0063479-American1">[30]</xref>. Like GARFIELD, PINNACLE-AF will rigorously assess current and evolving practice patterns; it will also help US providers evaluate and improve adherence to guidelines and performance measures through the provision of checklists of guideline-recommended care and provision of quarterly reports. These national US data will be complementary to GARFIELD, which will be conducted in up to 35 countries throughout the world.</p>
</sec><sec id="s4b">
<title>Future Insights from the GARFIELD Registry</title>
<p>The second GARFIELD cohort was initiated in October 2011, and an additional 11 countries (Argentina, Belgium, Chile, Czech Republic, Hungary, India, Russia, Singapore, South Africa, Thailand, Ukraine) joined the registry. Owing to its unique methodology, the GARFIELD Registry will continue to provide prospective and rigorous global and national data on “real-world” risk stratification, AF management, and clinical outcomes in patients newly diagnosed with AF and at risk of stroke.</p>
</sec><sec id="s4c">
<title>Study Limitations</title>
<p>As an observational study, GARFIELD is subject to certain limitations inherent in all such studies, such as the collection of non-randomized data and missing or incomplete information. Given the wide spectrum of care settings, the presence of missing or incomplete data is not surprising, particularly as site selection was random, encompassed the spectrum of care settings, and included sites with no clinical research experience. The study does, however, provide broader insights into the management of AF patients, with the inclusion of care environments not normally included in such studies. The data collected will provide a “snapshot” of anticoagulant use at the point of evaluation, which may change over time. GARFIELD is currently the largest ongoing international academic registry in patients with non-valvular AF; it represents a novel approach to outcomes research through the recruitment of unselected patients in five consecutive cohorts. In addition, through random selection of nationally representative sites, consecutive patient enrolment, and inclusion of patients perceived by their physicians to be at risk of stroke, the population will reflect those treated in everyday clinical practice. The contemporary data reported here provide a benchmark against which subsequent data, incorporating new therapies for AF, can be compared.</p>
</sec><sec id="s4d">
<title>Conclusions</title>
<p>These data highlight a substantial gap between evidence-based risk stratification, management recommendations, and their application in everyday clinical practice. The long-term implications of these management decisions will become apparent in the follow-up data at 1 and 2 years. With the introduction of new anticoagulants for AF, GARFIELD will describe how management strategies, patient outcomes, and use of healthcare resources evolve over time on a global level and in participating countries.</p>
</sec></sec><sec id="s5">
<title>Supporting Information</title>
<supplementary-material id="pone.0063479.s001" mimetype="application/x-excel" xlink:href="info:doi/10.1371/journal.pone.0063479.s001" position="float" xlink:type="simple"><label>Ethics List S1</label><caption>
<p><bold>Ethics committee information.</bold></p>
<p>(XLS)</p>
</caption></supplementary-material><supplementary-material id="pone.0063479.s002" mimetype="image/tiff" xlink:href="info:doi/10.1371/journal.pone.0063479.s002" position="float" xlink:type="simple"><label>Figure S1</label><caption>
<p><bold>Year of diagnosis of AF in retrospective (part prospective) and prospective patients.</bold></p>
<p>(TIF)</p>
</caption></supplementary-material><supplementary-material id="pone.0063479.s003" mimetype="image/tiff" xlink:href="info:doi/10.1371/journal.pone.0063479.s003" position="float" xlink:type="simple"><label>Figure S2</label><caption>
<p><bold>Distribution of (A) CHADS<sub>2</sub> and (B) CHA<sub>2</sub>DS<sub>2</sub>-VASc Scores in the GARFIELD Registry.</bold></p>
<p>(TIF)</p>
</caption></supplementary-material><supplementary-material id="pone.0063479.s004" mimetype="application/msword" xlink:href="info:doi/10.1371/journal.pone.0063479.s004" position="float" xlink:type="simple"><label>Table S1</label><caption>
<p><bold>Patient baseline characteristics: retrospective (part prospective) validation group and prospective group.</bold></p>
<p>(DOC)</p>
</caption></supplementary-material><supplementary-material id="pone.0063479.s005" mimetype="application/msword" xlink:href="info:doi/10.1371/journal.pone.0063479.s005" position="float" xlink:type="simple"><label>Text S1</label><caption>
<p><bold>GARFIELD Registry Investigators.</bold></p>
<p>(DOC)</p>
</caption></supplementary-material></sec></body>
<back>
<ack>
<p>We thank the physicians, nurses, and patients involved in the GARFIELD Registry.</p>
</ack>
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