Jonathan L Thigpen1, Chrisly Dillon2, Kristen B Forster2, Lori Henault2, Emily K Quinn2, Yorghos Tripodis2, Peter B Berger2, Elaine M Hylek2, Nita A Limdi2. 1. From the Department of Clinical and Administrative Sciences, Notre Dame of Maryland University School of Pharmacy, Baltimore (J.L.T.); Department of Neurology, University of Alabama at Birmingham (C.D., N.A.L.); Department of Medicine, Boston University Medical Center, MA (L.H., E.M.H.); Department of Biostatistics (Y.T.) and Date Coordinating Center (E.K.Q), Boston University School of Public Health, Boston, MA; and Department of Cardiology, Geisinger Health System, Danville, PA (K.B.F., P.B.B) jthigpen@ndm.edu. 2. From the Department of Clinical and Administrative Sciences, Notre Dame of Maryland University School of Pharmacy, Baltimore (J.L.T.); Department of Neurology, University of Alabama at Birmingham (C.D., N.A.L.); Department of Medicine, Boston University Medical Center, MA (L.H., E.M.H.); Department of Biostatistics (Y.T.) and Date Coordinating Center (E.K.Q), Boston University School of Public Health, Boston, MA; and Department of Cardiology, Geisinger Health System, Danville, PA (K.B.F., P.B.B).
Abstract
BACKGROUND: Because of its association with death and disability, stroke is a focus of outcomes in atrial fibrillation (AF) research. International Classification of Disease-Ninth Revision (ICD-9) edition codes are commonly used to identify stroke in research, particularly in large administrative data. We sought to assess the validity of ICD-9 codes in stroke case ascertainment and for AF across 3 institutions. METHODS AND RESULTS: Participating centers included Boston Medical Center (safety net hospital), Geisinger Health System (rural Pennsylvania), and the University of Alabama (academic center in the southeastern stroke belt). ICD-9 codes for ischemic stroke (433-434, 436) and intracranial hemorrhage (430-432) identified 1812 stroke cases with an associated code for AF (427.31) from 2006 to 2010. Cases were vetted through chart review with final adjudication by a stroke neurologist. Review considered 94.2% of ICD-9 identified stroke cases valid with decreased accuracy for concurrent AF diagnosis (82.28%) and stroke attributable to AF (72.8%). Among events with "without infarction" modifiers, 7.2% were valid strokes. ICD-9 stroke code accuracy did not differ by stroke type or site. Stroke code 434 displayed higher accuracy than 433 (94.4% versus 85.2%; P<0.01), and primary stroke codes were more accurate than nonprimary codes (97.2% versus 83.7%; P<0.0001). CONCLUSIONS: Using ICD-9 stroke and AF codes to identify patients with stroke plus AF resulted in inaccuracies. Given the expanded financial and policy implications of patient-oriented research, conclusions derived solely from administrative data without validation of outcome events should be interpreted with caution.
BACKGROUND: Because of its association with death and disability, stroke is a focus of outcomes in atrial fibrillation (AF) research. International Classification of Disease-Ninth Revision (ICD-9) edition codes are commonly used to identify stroke in research, particularly in large administrative data. We sought to assess the validity of ICD-9 codes in stroke case ascertainment and for AF across 3 institutions. METHODS AND RESULTS: Participating centers included Boston Medical Center (safety net hospital), Geisinger Health System (rural Pennsylvania), and the University of Alabama (academic center in the southeastern stroke belt). ICD-9 codes for ischemic stroke (433-434, 436) and intracranial hemorrhage (430-432) identified 1812 stroke cases with an associated code for AF (427.31) from 2006 to 2010. Cases were vetted through chart review with final adjudication by a stroke neurologist. Review considered 94.2% of ICD-9 identified stroke cases valid with decreased accuracy for concurrent AF diagnosis (82.28%) and stroke attributable to AF (72.8%). Among events with "without infarction" modifiers, 7.2% were valid strokes. ICD-9 stroke code accuracy did not differ by stroke type or site. Stroke code 434 displayed higher accuracy than 433 (94.4% versus 85.2%; P<0.01), and primary stroke codes were more accurate than nonprimary codes (97.2% versus 83.7%; P<0.0001). CONCLUSIONS: Using ICD-9 stroke and AF codes to identify patients with stroke plus AF resulted in inaccuracies. Given the expanded financial and policy implications of patient-oriented research, conclusions derived solely from administrative data without validation of outcome events should be interpreted with caution.
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