Epidemiology of idiopathic pulmonary fibrosis in central and Western Pennsylvania

Faina Linkov, Duquesne University
Yue Fang Chang, University of Pittsburgh School of Medicine
Harshitha Ramanan, Duquesne University
Richard S. Morgan, University of Pittsburgh School of Medicine
Kathleen M. McTigue, University of Pittsburgh School of Medicine
Anne E.F. Dimmock, Penn State Health Milton S. Hershey Medical Center
Rebecca Bascom, Penn State Health Milton S. Hershey Medical Center
Daniel J. Kass, University of Pittsburgh Medical Center

Abstract

Background/rationale: Idiopathic Pulmonary Fibrosis (IPF) is a chronic, progressive disease of unknown origin. Establishing the epidemiology of IPF has been challenging due to diagnostic complexity, poor survival, low prevalence, and heterogeneity of ascertainment methodologies. Objectives: This research aimed to estimate the rates of IPF in central and western Pennsylvania and to pilot the use of capture recapture (CR) methods to estimate the disease incidence. Methods: We identified adults ≥ 30 years old diagnosed with IPF (by ICD-9/10 coding) between 2013 to 2021 from two health systems (UPMC Health System and Penn State Health) participating in the PaTH Clinical Research Network. We extracted information on patients’ sex, race, date of birth and 3-digit zip code from electronic health records (EHR). Incidence rate of IPF among Pennsylvania residents was calculated using three case definitions (broad and two restricted) and piloted the use of CR in estimating IPF incidence. Results: IPF incidence rates were 8.42, 6.95 and 4.4 per 100,000 person-years for the unrestricted (n = 3148), partially restricted (n = 2598) and fully restricted (n = 1661) samples, respectively. Low case overlap between two sites resulted in a highly inflated estimate of IPF incidence, using the CR methodology. Conclusions: The rate of IPF in central and western Pennsylvania was similar to previously published statistics. The application of CR to IPF epidemiology could be further investigated in health systems with greater overlap of patients utilizing more than one system.