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Circulation. 2000;102:11-13

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(Circulation. 2000;102:11.)
© 2000 American Heart Association, Inc.


Brief Rapid Communications

Implications of Stroke Risk Criteria on the Anticoagulation Decision in Nonvalvular Atrial Fibrillation

The Anticoagulation and Risk Factors In Atrial Fibrillation (ATRIA) Study

Alan S. Go, MD; Elaine M. Hylek, MD, MPH; Kathleen A. Phillips, BA; Leila H. Borowsky, MPH; Lori E. Henault, MPH; YuChiao Chang, PhD; Joe V. Selby, MD, MPH; Daniel E. Singer, MD

From the Division of Research, Kaiser Permanente Medical Care Program (Northern California), Oakland, Calif (A.S.G., K.A.P., J.V.S.); the Department of Epidemiology and Biostatistics, University of California at San Francisco (A.S.G.); and the General Medicine Division, Clinical Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (E.M.H., L.H.B., L.E.H., Y.C., D.E.S.).

Correspondence to Alan S. Go, MD, Division of Research, 3505 Broadway St, Oakland, CA 94611. E-mail axg{at}dor.kaiser.org


*    Abstract
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Background—Warfarin dramatically reduces the risk of stroke in patients with nonvalvular atrial fibrillation (NVAF) but increases the likelihood of bleeding. Accurately identifying patients who need anticoagulation is critical. We assessed the potential impact of prominent stroke risk classification schemes on this decision in a large sample of patients with NVAF.

Methods and Results—We used clinical and electrocardiographic databases to identify 13 559 ambulatory patients with NVAF from July 1996 through December 1997. We compared the proportion of patients classified as having a low enough stroke risk to receive aspirin using published criteria from the Atrial Fibrillation Investigators (AFI), American College of Chest Physicians (ACCP), and the Stroke Prevention in Atrial Fibrillation Investigators (SPAF). In this cohort, AFI criteria classified 11% as having a low stroke risk, compared with 23% for ACCP and 29% for SPAF ({kappa} range, 0.44 to 0.85). This 2- to-3-fold increase in low stroke risk patients by ACCP and SPAF criteria primarily resulted from the inclusion of many older subjects (65 to 75 years±men >75 years) with no additional clinical stroke risk factors.

Conclusions—The age threshold for assigning an increased stroke risk has a dramatic impact on whether to recommend warfarin in populations of patients with NVAF. Large, prospective studies with many stroke events are needed to precisely determine the relationship of age to stroke risk in AF and to identify which AF subgroups are at a sufficiently low stroke risk to forego anticoagulation.


Key Words: fibrillation • anticoagulants • risk factors • stroke


*    Introduction
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Warfarin substantially decreases the risk of stroke in patients with nonvalvular atrial fibrillation (NVAF), but it increases the risk of major bleeding.1 2 To optimize the use of warfarin in patients with NVAF, it is critical to accurately identify which patients are at an increased risk for stroke and would benefit most from anticoagulation therapy and which patients are at a low enough risk for stroke to safely avoid the risks of anticoagulation.

Stroke risk classification schemes have been proposed by the Atrial Fibrillation Investigators (AFI), who performed a pooled analysis of 5 primary prevention trials1 ; the American College of Chest Physicians’ Consensus Conference on Antithrombotic Therapy (ACCP), which used expert committees who reviewed available published literature3 ; and the Stroke Prevention in Atrial Fibrillation Investigators (SPAF), who analyzed patients from a series of clinical trials.4 These risk classification schemes were based primarily on post hoc analyses of randomized trial populations. Resulting treatment recommendations overlap but have several differences (TableDown). The implications of these differences for the use of warfarin therapy in "real world" populations of NVAF patients are unknown.


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Table 1. Criteria for Classification as at Low Stroke Risk by Stroke Risk Stratification Scheme

To address this issue, we evaluated the impact of these 3 stroke risk classification schemes on the anticoagulation decision in a large cohort of ambulatory patients with NVAF.


*    Methods
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Study Population
The cohort assembly has been described previously.5 Briefly, we constructed a cohort of patients with NVAF between July 1, 1996 and December 31, 1997 who were treated within a large health maintenance organization. We identified all patients who had (1) an AF diagnosis (code 427.31 from the International Classification of Diseases, 9th Revision) recorded in an automated outpatient database plus an ECG showing AF found in an ECG database or (2) >1 outpatient diagnosis of AF during the study period. A total of 23% of patients had >1 outpatient AF diagnosis only. Chart review of a random sample of 50 such patients revealed that 78% had >=1 ECG demonstrating AF, with essentially all such ECGs performed before the start of the ECG database in 1994.

To identify adult NVAF patients with adequate data, we excluded patients without prior health plan membership, an age <18 years, transient AF due to recent cardiac surgery, known valvular heart disease, concomitant hyperthyroidism, or lack of internal medicine or cardiology care after the AF diagnosis.

We defined transient perioperative AF as a single outpatient AF diagnosis occurring up to 30 days after coronary bypass, pericardial, or cardiac repair surgery. Valvular disease was defined as an inpatient or outpatient diagnosis of mitral stenosis or prosthetic valve or previous mitral and/or aortic valve repair or replacement. Hyperthyroidism was defined as an inpatient or outpatient diagnosis of hyperthyroidism or thyrotoxicosis, an antithyroid medication prescription, or a low serum thyroid-stimulating hormone level (<0.03 µg/mL) during the 12 months before the first noted AF diagnosis. Corresponding diagnoses used for exclusion purposes were ascertained from comprehensive hospital discharge, billing claims, and outpatient databases for health plan admissions, out-of-network emergent care, and visits to emergency departments and outpatient clinics, respectively. The codes used have been previously described.5

Patient Characteristics
Proposed risk factors from 3 prominent stroke risk classification schemes were identified1 3 4 (TableUp). We approximated 2 of the SPAF criteria by using a hypertension diagnosis for a "systolic blood pressure >160 mm Hg" and a heart failure diagnosis for "recent heart failure or fractional shortening <25% on echocardiography."4 We examined the outpatient database between June 1, 1994 and December 31, 1997 for diagnoses of previous stroke, hypertension, heart failure, and diabetes. The utility of this database for these diagnoses ranged from good to outstanding.5 For previous stroke and heart failure, we supplemented outpatient data with hospital discharge diagnoses within 5 years before the AF diagnosis.

Comparison of Stroke Risk Criteria
Using the {kappa} statistic,6 we compared, across the stroke risk criteria, the proportion of patients classified as having a low enough risk for stroke that aspirin was an acceptable therapy; this was defined as having none of the risk factors proposed by the AFI,1 ACCP,3 or SPAF4 criteria.


*    Results
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Patient Characteristics
A total of 13 559 patients met the criteria for NVAF during the study period. Their mean age was 71.6 years, and 43% were women. More than 75% of the cohort was >=65 years, and 45% was >=75 years.

Overall, 9% of patients had a previous ischemic stroke, 31% had previously diagnosed heart failure, 51% had hypertension, 17% had diabetes, and 29% had known coronary disease. Compared with patients in the first 5 primary prevention trials for AF,1 our cohort was older, had a higher proportion of women, and had a higher prevalence of stroke-related comorbidities.

Comparison of Stroke Risk Criteria
We compared the proportion of NVAF patients who would be categorized as having a "low stroke risk," in which aspirin would be a reasonable alternative to warfarin, across the 3 stroke risk criteria (FigureDown). The AFI criteria classified 10.5% (n=1426) as having a low stroke risk, compared with 23.3% (n=3155) for the ACCP criteria and 29.3% (n=3973) for the SPAF criteria (FigureDown). Inclusion of patients with hyperthyroidism did not change the results significantly. There was fair agreement between AFI and ACCP ({kappa}=0.56) and AFI and SPAF ({kappa}=0.44) and excellent agreement between ACCP and SPAF ({kappa}=0.85). More than 90% of the difference in the proportion of patients considered to have a low stroke risk by the ACCP and SPAF criteria compared with AFI was explained by the inclusion of older patients (65 to 75 years and men >75 years) with no other stroke risk factors.



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Figure 1. Proportion of 13 559 NVAF patients in the Anticoagulation and Risk Factors In Atrial Fibrillation study cohort considered at a low stroke risk by various stroke risk criteria. Error bars represent the upper 95% confidence limit.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
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*Discussion
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Despite demonstrated efficacy in reducing stroke, controversy persists over which NVAF patients would benefit most from warfarin.7 Using the largest sample reported to date, we assessed the clinical implications of 3 prominent stroke risk classification schemes designed to guide the use of anticoagulants in NVAF. Comparing these criteria, we found up to 3-fold differences in the proportion of patients considered to have a low enough stroke risk to recommend aspirin over warfarin. Differences were primarily explained by whether certain age or age/sex categories (65 to 75 years and men over 75 years) were thought to increase the risk of stroke independently.

Previous studies have reported varying estimates of the proportion of patients who should be considered for warfarin therapy,8 9 10 but they were hampered by relatively small sample sizes8 9 or by using randomized trial populations, which are not representative of NVAF patients in actual clinical care.10 The predictive ability of existing stroke risk criteria are based primarily on data from randomized trials that included relatively few stroke events.1 4 11 These classification schemes were variably effective in predicting stroke risk in one relatively small population-based AF cohort.9 We showed that the choice of stroke risk criteria can have substantial impact on treatment recommendations within a large, ambulatory population of NVAF patients in usual clinical care.

Our study had limitations. We approximated 2 of the SPAF criteria (systolic blood pressure>160 mm Hg and left ventricular dysfunction) using diagnoses of hypertension and heart failure, respectively. However, this likely served to categorize fewer patients at low risk than if explicit SPAF criteria were used, which suggests even greater differences exist between the various schemes. We lacked echocardiographic data, which can provide additional relevant clinical information,12 but its marginal benefit above clinical risk factors for determining stroke risk remains unclear.8 It is possible that the exclusion of patients without health plan membership or outpatient follow-up care may affect the generalizability of our results. Finally, we could not distinguish between paroxysmal and persistent/permanent AF, but previous studies suggest that the risk of stroke is similar in these subgroups.13

In conclusion, prominent risk stratification schemes for NVAF patients differ substantially in the proportion of patients considered to have a low enough risk of stroke to recommend aspirin instead of warfarin. These differences depend primarily on whether the age 65 to 75 years, by itself, is viewed as a sizable risk factor for stroke in NVAF. These differences have important implications for the {approx}2 200 000 Americans with NVAF. Depending on the risk criteria, the number of US NVAF patients considered at low risk would range from {approx}225 000 to nearly 650 000. Further compounding this problem is the more marked variation in locally produced treatment guidelines for AF.7 Therefore, large, prospective studies with many stroke events are needed to precisely specify the risk of stroke associated with increasing age and its interaction with other stroke risk factors in the setting of NVAF.


*    Acknowledgments
 
Supported by Public Health Services research grant AG15478 from the National Institutes on Aging.


*    Footnotes
 
Drs Hylek and Singer have received research support and occasional honoraria for lectures from DuPont Pharmaceuticals, the manufacturer of Coumadin brand warfarin. In addition, Dr Singer has received research support and occasional honoraria from Roche Diagnostics, the manufacturer of INR fingerstick monitors.

Received April 4, 2000; revision received May 15, 2000; accepted May 15, 2000.


*    References
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up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
1. Risk factors for stroke and efficacy of antithrombotic therapy in atrial fibrillation: analysis of pooled data from five randomized controlled trials. Arch Intern Med. 1994;154:1449–1457.[Abstract/Free Full Text]

2. Secondary prevention in non-rheumatic atrial fibrillation after transient ischaemic attack or minor stroke: EAFT (European Atrial Fibrillation Trial) study group. Lancet. 1993;342:1255–1262.[Medline] [Order article via Infotrieve]

3. Laupacis A, Albers G, Dalen J, et al. Antithrombotic therapy in atrial fibrillation. Chest. 1998;114(5 Suppl):579S–589S.

4. Patients with nonvalvular atrial fibrillation at low risk of stroke during treatment with aspirin: Stroke Prevention in Atrial Fibrillation III Study: the SPAF III Writing Committee for the Stroke Prevention in Atrial Fibrillation Investigators. JAMA. 1998;279:1273–1277.[Abstract/Free Full Text]

5. Go AS, Hylek EM, Borowsky LH, et al. Warfarin use among ambulatory patients with nonvalvular atrial fibrillation: the Anticoagulation and Risk Factors In Atrial Fibrillation (ATRIA) study. Ann Intern Med. 1999;131:927–934.[Abstract/Free Full Text]

6. Fleiss JL. Statistical Methods for Rates and Proportions. 2nd ed. New York: Wiley; 1981.

7. Thomson R, McElroy H, Sudlow M. Guidelines on anticoagulant treatment in atrial fibrillation in Great Britain: variation in content and implications for treatment. BMJ. 1998;316:509–513.[Abstract/Free Full Text]

8. Kalra L, Perez I, Melbourn A. Risk assessment and anticoagulation for primary stroke prevention in atrial fibrillation. Stroke. 1999;30:1218–1222.[Abstract/Free Full Text]

9. Feinberg WM, Kronmal RA, Newman AB, et al. Stroke risk in an elderly population with atrial fibrillation. J Gen Intern Med. 1999;14:56–59.[Medline] [Order article via Infotrieve]

10. Hart RG, Pearce LA, McBride R, et al. Factors associated with ischemic stroke during aspirin therapy in atrial fibrillation: analysis of 2012 participants in the SPAF I-III clinical trials: the Stroke Prevention in Atrial Fibrillation (SPAF) investigators. Stroke. 1999;30:1223–1229.[Abstract/Free Full Text]

11. Adjusted-dose warfarin versus low-intensity, fixed-dose warfarin plus aspirin for high-risk patients with atrial fibrillation: Stroke Prevention in Atrial Fibrillation III randomised clinical trial. Lancet. 1996;348:633–638.[Medline] [Order article via Infotrieve]

12. Agmon Y, Khandheria BK, Gentile F, et al. Echocardiographic assessment of the left atrial appendage. J Am Coll Cardiol. 1999;34:1867–1877.[Abstract/Free Full Text]

13. Hart RG, Pearce LA, Rothbart RM, et al. Stroke with intermittent atrial fibrillation: incidence and predictors during aspirin therapy. Stroke Prevention in Atrial Fibrillation investigators. J Am Coll Cardiol. 2000;35:183–187.[Abstract/Free Full Text]




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