Identification of patients with Churg-Strauss syndrome (CSS) using automated data

Pharmacoepidemiology and Drug Safety
Leslie R HarroldRichard Platt

Abstract

Our aim was to identify individuals with Churg-Strauss syndrome (CSS) among asthma drug users, based on patterns of diagnostic and procedural codes (termed 'algorithms') contained in automated claims data. A retrospective study was conducted among patients who had been dispensed asthma drugs at three HMOs. Individuals who received > or =3 dispensings of an asthma drug during any consecutive 12-month period beginning 1 January 1994 through 20 June 2000 were identified. Information on patient age, gender, enrollment status, asthma drugs dispensed, inpatient and outpatient diagnoses and procedures were obtained from the HMO automated databases. Twelve combinations of diagnostic and billing codes ('algorithms') were developed using the claims data to identify potential cases of CSS. Chart reviews blinded to drug exposure were performed using a standardized abstraction form. A rheumatologist reviewed abstracted information on all subjects, and those who met two or more American College of Rheumatology (ACR) criteria for CSS were further reviewed by two clinical experts. Cases were classified as unlikely, possible, or probable/definite CSS. Each clinical expert independently rated the cases; disagreements were resolved by consensus. ...Continue Reading

Citations

Aug 19, 2008·Journal of Public Health Management and Practice : JPHMP·Leslie R HarroldJerry H Gurwitz
Dec 29, 2006·Pharmacoepidemiology and Drug Safety·Leslie R HarroldAlexander M Walker
Mar 7, 2020·Pain Medicine : the Official Journal of the American Academy of Pain Medicine·Anaïs LacasseAlain Vanasse
Nov 7, 2019·Journal of Clinical Rheumatology : Practical Reports on Rheumatic & Musculoskeletal Diseases·Mugdha GokhaleMelissa K Van Dyke

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