Study of Cardiovascular Health Outcomes in the Era of Claims Data: The Cardiovascular Health Study

• Published in: Circulation (New York, N.Y.) N.Y.), 2016-01, Vol.133 (2), p.156-164
• Main Authors: Psaty, Bruce M, Delaney, Joseph A, Arnold, Alice M, Curtis, Lesley H, Fitzpatrick, Annette L, Heckbert, Susan R, McKnight, Barbara, Ives, Diane, Gottdiener, John S, Kuller, Lewis H, Longstreth, W.T
• Format: Article
• Language: English
• Subjects: Blood Glucose - analysis; Cardiovascular Diseases - diagnosis; Cardiovascular Diseases - epidemiology; Cardiovascular Diseases - therapy; Female; Follow-Up Studies; Health Surveys; Hospitalization - statistics & numerical data; Hospitals, Veterans - statistics & numerical data; Humans; Insurance Claim Review; International Classification of Diseases; Lipids - blood; Male; Managed Care Programs - statistics & numerical data; Medicare - statistics & numerical data; Risk Factors; Sampling Studies; Treatment Outcome; United States - epidemiology
• ISSN: 0009-7322; 1524-4539
• DOI: 10.1161/CIRCULATIONAHA.115.018610

BACKGROUND—Increasingly, the diagnostic codes from administrative claims data are being used as clinical outcomes. METHODS AND RESULTS—Data from the Cardiovascular Health Study (CHS) were used to compare event rates and risk factor associations between adjudicated hospitalized cardiovascular events and claims-based methods of defining events. The outcomes of myocardial infarction (MI), stroke, and heart failure were defined in 3 waysthe CHS adjudicated event (CHS[adj]), selected International Classification of Diseases, Ninth Edition diagnostic codes only in the primary position for Medicare claims data from the Center for Medicare & Medicaid Services (CMS[1st]), and the same selected diagnostic codes in any position (CMS[any]). Conventional claims-based methods of defining events had high positive predictive values but low sensitivities. For instance, the positive predictive value of International Classification of Diseases, Ninth Edition code 410.x1 for a new acute MI in the first position was 90.6%, but this code identified only 53.8% of incident MIs. The observed event rates for CMS[1st] were low. For MI, the incidence was 14.9 events per 1000 person-years for CHS[adj] MI, 8.6 for CMS[1st] MI, and 12.2 for CMS[any] MI. In general, cardiovascular disease risk factor associations were similar across the 3 methods of defining events. Indeed, traditional cardiovascular disease risk factors were also associated with all first hospitalizations not resulting from an MI. CONCLUSIONS—The use of diagnostic codes from claims data as clinical events, especially when restricted to primary diagnoses, leads to an underestimation of event rates. Additionally, claims-based events data represent a composite end point that includes the outcome of interest and selected (misclassified) nonevent hospitalizations.