Noninvasive prognostic factors and web predictive tools for idiopathic sudden sensorineural hearing loss

Abstract

PurposeTo friendly predict a reference prognostic outcome for idiopathic sudden sensorineural hearing loss (ISSNHL) patients with or without anxiety, we identified independent prognostic factors and developed practical predictive tools without invasive tests. MethodsPatients with ISSNHL in our center were enrolled from June 2013 to December 2018. Univariate and multivariate logistic regression analyses were performed to identify independent prognostic factors of the complete recovery and the overall recovery for ISSNHL, which were subsequently utilized to develop the web nomograms. The discrimination, calibration, and clinical benefit were used to evaluate the performance of nomograms for ISSNHL. Results704 ISSNHL patients were finally enrolled in this study. Multivariate logistic regression analysis showed that age, time of onset, gender, affected ear, degree, and type of hearing loss were independent prognostic factors of complete recovery. Age, time of onset, affected ear, and type of hearing loss were independent prognostic factors of overall recovery. Web predictive nomograms were developed with excellent discrimination, calibration, and clinical value. ConclusionBased on the patients' data with a considerable size, independent noninvasive prognostic factors of complete recovery and overall recovery of ISSNHL were identified. Integrating these prognostic factors without invasive tests, practical web predictive nomograms were developed. Using web nomograms, clinical doctors could provide reference data (the predicted recovery rate) for supporting prognostic consultation of ISSNHL patients, especially those with anxiety.