Derivation and Validation of a Diagnostic Prediction Tool for Interstitial Lung Disease.

ABSTRACT:

Background

Interstitial lung disease (ILD) results in high morbidity and health-care utilization. Diagnostic delays remain common and often occur in nonpulmonology settings. Screening for ILD in these settings has the potential to reduce diagnostic delays and improve patient outcomes.

Research question

This study sought to determine whether a pulmonary function test (PFT)-derived diagnostic prediction tool (ILD-Screen) could accurately identify incident ILD cases in patients undergoing PFT in nonpulmonology settings.

Study design and methods

Clinical and physiologic PFT variables predictive of ILD were identified by using iterative multivariable logistic regression models. ILD status was determined by using a multi-reader approach. An ILD-Screen score was generated by

SUBMITTER: Pugashetti JV 

PROVIDER: S-EPMC7469246 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature