Abstract

BACKGROUNDAccurate diagnosis of interstitial lung disease (ILD) can be challenging. Accordingly, clinicians may attribute a diagnostic certainty based on guideline criteria and clinical judgment. However, further research is needed to refine this approach and improve diagnostic clarity. RESEARCH QUESTIONWhat are the real-world factors associated with diagnostic confidence in fibrotic ILD? STUDY DESIGN AND METHODSData were included from all patients enrolled in the Pulmonary Fibrosis Foundation Patient Registry from March 2016 to August 2018. Baseline demographic and clinical characteristics were collected at enrollment, or at the test date closest to the date of consent for longitudinal measures. Descriptive analyses were performed separately for all participants, as well as for subgroup participants with idiopathic pulmonary fibrosis (IPF) and participants with non-IPF ILD, stratified by the level of investigator diagnostic confidence (High vs Medium/Low) assigned at registry enrollment. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using multivariable logistic regression, with the aforementioned characteristics as predictors. RESULTSData up to April 2022 from 1,992 participants were included. In adjusted logistic regression analyses among all participants, antifibrotic use (OR [95% CI], 1.51 [1.09-2.07]), longer time since diagnosis (0.94 [0.89-0.98]) at the research unit of 365 days, and diabetes (2.56 [1.01-6.44]) were significantly associated with higher diagnostic confidence, and non-IPF idiopathic interstitial pneumonia (vs IPF; 0.36 [0.24-0.55]), insurance - others (0.65 [0.43-0.97]), and Hispanic ethnicity (0.54 [0.31-0.94]) were significantly associated with lower diagnostic confidence. Factors associated with diagnostic confidence in the IPF and/or non-IPF ILD groups included age, male sex, region, immunomodulatory medication, multidisciplinary team discussion, surgical lung biopsy, and definite high-resolution computed tomography pattern. INTERPRETATIONThese findings suggest that certain demographic and clinical factors may influence physicians’ confidence in diagnosis of IPF and non-IPF ILD. Tailored physician education may help to reduce biases and improve consistency in diagnosis.

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