Abstract:
PURPOSE:To determine healthcare claim patterns associated using nonsteroidal anti-inflammatory drugs (NSAIDs) for rheumatoid arthritis (RA). METHODS:The CADEUS study randomly identified NSAID users within the French health insurance database. One-year claims data were extracted, and NSAID indication was obtained from prescribers. Logistic regression was used in a development sample to identify claim patterns predictive of RA and models applied to a validation sample. Analyses were stratified on the dispensation of immunosuppressive agents or specific antirheumatism treatment, and the area under the receiver operating characteristic curve was used to estimate discriminant power. RESULTS:NSAID indication was provided for 26,259 of the 45,217 patients included in the CADEUS cohort; it was RA for 956 patients. Two models were constructed using the development sample (n = 13,143), stratifying on the dispensation of an immunosuppressive agent or specific antirheumatism treatment. Discriminant power was high for both models (AUC > 0.80) and was not statistically different from that found when applied to the validation sample (n = 13,116). CONCLUSIONS:The models derived from this study may help to identify patients prescribed NSAIDs who are likely to have RA in claims databases without medical data such as treatment indication.
journal_name
Pharmacoepidemiol Drug Safjournal_title
Pharmacoepidemiology and drug safetyauthors
Bernard MA,Bénichou J,Blin P,Weill A,Bégaud B,Abouelfath A,Moore N,Fourrier-Réglat A,CADEUS Team.doi
10.1002/pds.3221subject
Has Abstractpub_date
2012-06-01 00:00:00pages
573-83issue
6eissn
1053-8569issn
1099-1557journal_volume
21pub_type
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