{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T14:49:53Z","timestamp":1792594193124,"version":"4.5.0"},"reference-count":21,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T00:00:00Z","timestamp":1477958400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100006093","name":"Patient-Centered Outcomes Research Institute","doi-asserted-by":"publisher","award":["PPRN\u20101306\u201004758"],"award-info":[{"award-number":["PPRN\u20101306\u201004758"]}],"id":[{"id":"10.13039\/100006093","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006093","name":"Patient-Centered Outcomes Research Institute","doi-asserted-by":"publisher","award":["1IP2PI000603"],"award-info":[{"award-number":["1IP2PI000603"]}],"id":[{"id":"10.13039\/100006093","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pharmacoepidemiology and Drug"],"published-print":{"date-parts":[[2016,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>The aim of this study was to develop and validate case\u2010finding algorithms for granulomatosis with polyangiitis (Wegener's, GPA), microscopic polyangiitis (MPA), and eosinophilic GPA (Churg\u2013Strauss, EGPA).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Two hundred fifty patients per disease were randomly selected from two large healthcare systems using the International Classification of Diseases version 9 (ICD9) codes for GPA\/EGPA (446.4) and MPA (446.0). Sixteen case\u2010finding algorithms were constructed using a combination of ICD9 code, encounter type (inpatient or outpatient), physician specialty, use of immunosuppressive medications, and the anti\u2010neutrophil cytoplasmic antibody type. Algorithms with the highest average positive predictive value (PPV) were validated in a third healthcare system.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>An algorithm excluding patients with eosinophilia or asthma and including the encounter type and physician specialty had the highest PPV for GPA (92.4%). An algorithm including patients with eosinophilia and asthma and the physician specialty had the highest PPV for EGPA (100%). An algorithm including patients with one of the diagnoses (alveolar hemorrhage, interstitial lung disease, glomerulonephritis, and acute or chronic kidney disease), encounter type, physician specialty, and immunosuppressive medications had the highest PPV for MPA (76.2%). When validated in a third healthcare system, these algorithms had high PPV (85.9% for GPA, 85.7% for EGPA, and 61.5% for MPA). Adding the anti\u2010neutrophil cytoplasmic antibody type increased the PPV to 94.4%, 100%, and 81.2% for GPA, EGPA, and MPA, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Case\u2010finding algorithms accurately identify patients with GPA, EGPA, and MPA in administrative databases. These algorithms can be used to assemble population\u2010based cohorts and facilitate future research in epidemiology, drug safety, and comparative effectiveness. Copyright \u00a9 2016 John Wiley &amp; Sons, Ltd.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.4116","type":"journal-article","created":{"date-parts":[[2016,11,2]],"date-time":"2016-11-02T01:07:00Z","timestamp":1478048820000},"page":"1368-1374","source":"Crossref","is-referenced-by-count":42,"title":["Development and validation of case\u2010finding algorithms for the identification of patients with anti\u2010neutrophil cytoplasmic antibody\u2010associated vasculitis in large healthcare administrative databases"],"prefix":"10.1002","volume":"25","author":[{"given":"Antoine G.","family":"Sreih","sequence":"first","affiliation":[{"name":"Vasculitis Center, Division of Rheumatology University of Pennsylvania  Philadelphia PA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Narender","family":"Annapureddy","sequence":"additional","affiliation":[{"name":"Division of Rheumatology Vanderbilt University Medical Center  Nashville TN 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