Quality‐of‐Life Metrics Correlate With Disease Severity in Idiopathic Subglottic Stenosis

Objectives Idiopathic subglottic stenosis (ISGS) can have significant impacts on quality of life (QOL), but it remains unclear how patients’ subjective responses correlate with objective measurement of disease severity. Peak expiratory flow percentage (PEF%) has been shown to be an effective measure of disease severity in subglottic stenosis. This study aims to identify the key QOL questions correlated with PEF% and proposes a statistical model for prediction of disease severity. Methods Patients with ISGS presenting to an academic laryngologist were included retrospectively from 2012 to 2016. Peak expiratory flow percentage (age, sex, and height adjusted) was recorded for each visit, along with four validated QOL instruments (European QOL–Five Dimensions; RAND 36‐Item Health Survey; Clinical COPD [Chronic Obstructive Pulmonary Disease] Questionnaire; and the Airway, Dyspnea, Voice, and Swallowing Summary Assessment). A stepwise multiple linear regression was used to identify statistically significant independent variables correlated with PEF%, and a model was built with these variables. Results Thirty‐two patients were included, with a total of 271 patient encounters. Overall scores from each of the four QOL instruments were correlated with PEF% values recorded each visit (P