Idiopathic Pulmonary Fibrosis in United States Automated Claims. Incidence, Prevalence, and Algorithm Validation

• DOI: 10.1164/rccm.201504-0818oc
• Publication Date: 2015-08-04T18:32:35Z
• Authors: Daina B. Esposito; Stephan Lanes; Macarius Donneyong; Crystal N. Holick; Joseph A. Lasky; David Lederer; Steven D. Nathan; Sean O’Quinn; Joseph Parker; Trung N. Tran
• Keywords: Medical record

Estimates of idiopathic pulmonary fibrosis (IPF) incidence and prevalence from electronic databases without case validation may be inaccurate.Develop claims algorithms to identify IPF assess their positive predictive value (PPV) estimate in the United States.We developed three cases HealthCore Integrated Research Database. Sensitive specific were based on literature review consultation with clinical experts. PPVs assessed using medical records. A third algorithm used logistic regression modeling generate an score was validated a separate set We estimated sensitive corrected for PPV.We identified 4,598 patients 2,052 algorithm. After record review, these treating clinician's diagnosis 44.4 61.7%, respectively. For score, PPV 76.2%. Using adjudicator's diagnosis, 54 57.6%, respectively, 83.3%. The period prevalences IPF, PPV, 14.6 per 100,000 person-years 58.7 persons, respectively.Sensitive correction false errors overestimated IPF. An offered greatest but it requires further validation.