Donate Help Contact The AHA Sign In Home
American Heart Association
Stroke
Search: search_blue_button Advanced Search
Stroke. 2007;38:2409
Published online before print August 2, 2007, doi: 10.1161/STROKEAHA.107.488114
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
38/9/2409    most recent
STROKEAHA.107.488114v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hackam, D. G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hackam, D. G.
Related Collections
Right arrow Anticoagulants
Right arrow Arrhythmias, clinical electrophysiology, drugs
Right arrow Coumarins
Right arrow Other anticoagulants
Right arrow Primary and Secondary Stroke Prevention
Right arrow Risk Factors for Stroke
Right arrowRelated Article

(Stroke. 2007;38:2409.)
© 2007 American Heart Association, Inc.


Editorials

Predicting Stroke Risk in Patients With Atrial Fibrillation

Daniel G. Hackam, MD, PhD, FRCPC

From the Divisions of Clinical Pharmacology and Clinical Neurological Sciences, and Department of Epidemiology and Biostatistics, University of Western Ontario, London, Ontario, Canada.

Correspondence to Daniel G. Hackam, 1400 Western Road, London, Ontario, Canada N6G 2V2. E-mail dhackam{at}uwo.ca


Key Words: anticoagulation • atrial fibrillation • prognosis • risk factors

See related article, pages 2459–2463.

Predicting which patients with atrial fibrillation will have a stroke or systemic embolic event is not an easy task. In this issue of Stroke, Lawrence Baruch and colleagues retrospectively compared 7 risk stratification schemes in a large clinical trial–based program of patients with atrial fibrillation (the Stroke Prevention using an ORal Thrombin Inhibitor in atrial Fibrillation [SPORTIF] III and IV studies).1 As assessed by the concordance (or C) statistic, which measures the area under a test’s receiver-operating characteristic curve, all prediction schemes performed rather modestly, with the best C statistic belonging to the CHADS2 scheme (C=0.65).

At first glance, these data might suggest caution regarding the use of formal risk stratification schemes to predict stroke in patients with atrial fibrillation. However, many potential caveats apply. In much of the original validation work for such schemes, patients were not selected by the presence of additional risk factors such as hypertension or heart failure, whereas in the SPORTIF program, only patients with atrial fibrillation judged to be at high risk because of the presence of concomitant stroke risk factors were included.2,3 Therefore, as recognized by the authors, the present study included few patients at low risk for stroke, thereby hampering the ability of the stratification schemes to separate patients on the basis of predicted risk. Clinical trials are often criticized because they include patients at the extreme lower end of the risk spectrum, but the converse is actually true in this case, because of the deliberate selection criteria of SPORTIF.

Another limitation is that the risk stratification schemes were developed and are still most often applied to atrial fibrillation patients not yet on oral anticoagulants, whereas all patients in SPORTIF received effective antithrombotic therapy from inception. The effect of such therapy is to blunt risk across the board, again compressing the range of risk in the present study. It has been shown that noncardioembolic subtypes of stroke predominate in patients with atrial fibrillation who are well-controlled on oral anticoagulants,4 and it is likely that other risk factors—not included in the risk stratification tools studied here—are of greater importance in such patients.5 Finally, a number of statistical concerns have been expressed regarding the use of the C statistic for gauging and comparing the effectiveness of risk prediction tools.6,7

These limitations should be balanced against the strengths of this study. Clinical trials provide a high degree of quality control, including the formalized adjudication of individual outcomes such as stroke, hemorrhage, and systemic embolus. Such adjudication is almost certainly more accurate than reliance on administrative healthcare databases although a combination of both techniques is probably more optimal than either technique used alone. As well, side-by-side comparisons of the predictive capabilities of multiple risk stratification schemes in the world of atrial fibrillation are relatively uncommon; the investigators should, therefore, be congratulated for attempting such an analysis.

So what if anything do these data tell us? Notwithstanding the caveats noted above, the study by Baruch and colleagues does provide evidence that in patients with atrial fibrillation who are already well-treated with anticoagulation, existing risk stratification schemes may not work as well as we might have thought. Confirming this finding would require prospective validation in a community-derived sample of patients with atrial fibrillation who have a broader spectrum of risk, preferably both treated and not treated with anticoagulants. In the meantime, physicians need to pay attention to the entire panopoly of treatable risk factors in patients with atrial fibrillation; it is likely that vasculoprotective therapies such as statins and antihypertensive agents play an important additive role to coumarin anticoagulants in this setting.8,9

Acknowledgments

Disclosures

None.

Footnotes

The opinions in this editorial are not necessarily those of the editors or of the American Heart Association.

References

  1. Baruch L, Gage BF, Horrow J, Juul-Moller S, Labovitz A, Persson M, Zabalgoitia M. Can patients at elevated risk of stroke treated with anticoagulants be further risk stratified? A comparison of seven stroke prediction schemes. Stroke. 2007; 38: 2459–2463.
  2. SPORTIF Executive Steering Committee for the SPORTIF. Ximelagatran vs warfarin for stroke prevention in patients with nonvalvular atrial fibrillation: a randomized trial. JAMA. 2005; 293: 690–698.[Abstract/Free Full Text]
  3. Olsson SB; for the Executive Steering Committee on behalf of the SPORTIF III Investigators. Stroke prevention with the oral direct thrombin inhibitor ximelagatran compared with warfarin in patients with non-valvular atrial fibrillation (SPORTIF III): randomised controlled trial. Lancet. 2003; 362: 1691–1698.[CrossRef][Medline] [Order article via Infotrieve]
  4. Evans A, Perez I, Yu G, Kalra L. Secondary stroke prevention in atrial fibrillation: lessons from clinical practice. Stroke. 2000; 31: 2106–2111.[Abstract/Free Full Text]
  5. Poli D, Antonucci E, Cecchi E, Marcucci R, Liotta AA, Cellai AP, Lenti M, Gensini GF, Abbate R, Prisco D. Culprit factors for the failure of well-conducted warfarin therapy to prevent ischemic events in patients with atrial fibrillation: the role of homocysteine. Stroke. 2005; 36: 2159–2163.[Abstract/Free Full Text]
  6. Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 2007; 297: 611–619.[Abstract/Free Full Text]
  7. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007; 115: 928–935.[Abstract/Free Full Text]
  8. Arima H, Hart RG, Colman S, Chalmers J, Anderson C, Rodgers A, Woodward M, MacMahon S, Neal B; for the PROGRESS Collaborative Group. Perindopril-based blood pressure-lowering reduces major vascular events in patients with atrial fibrillation and prior stroke or transient ischemic attack. Stroke. 2005; 36: 2164–2169.[Abstract/Free Full Text]
  9. Boos CJ, Anderson RA, Lip GYH. Is atrial fibrillation an inflammatory disorder? Eur Heart J. 2006; 27: 136–149.[Abstract/Free Full Text]

Related Article:

Can Patients at Elevated Risk of Stroke Treated With Anticoagulants Be Further Risk Stratified?
Lawrence Baruch, Brian F. Gage, Jay Horrow, Steen Juul-Möller, Arthur Labovitz, Maria Persson, and Miguel Zabalgoitia
Stroke 2007 38: 2459-2463. [Abstract] [Full Text] [PDF]




This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
38/9/2409    most recent
STROKEAHA.107.488114v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hackam, D. G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hackam, D. G.
Related Collections
Right arrow Anticoagulants
Right arrow Arrhythmias, clinical electrophysiology, drugs
Right arrow Coumarins
Right arrow Other anticoagulants
Right arrow Primary and Secondary Stroke Prevention
Right arrow Risk Factors for Stroke
Right arrowRelated Article