Streamlining quantification of age‐related vocal atrophy

Author:

Al‐Awadi Hamzah A.1,Zughni Lisa1,Knutson Madeline1,Carlson Abbey2,Aboueisha Mohamed A.1,Jaleel Zaroug A.1,Merati Albert L.1,Bhatt Neel K.1ORCID

Affiliation:

1. Division of Laryngology, Department of Otolaryngology – Head and Neck Surgery University of Washington School of Medicine Seattle Washington USA

2. Department of Speech‐Language Pathology Community Hospital Munster Indiana USA

Abstract

AbstractObjectivesAge‐related vocal atrophy (ARVA) has a significant impact on voice, communication, and quality of life. Vocal folds are bowed with incomplete glottic closure during phonation. Efficient quantification of vocal fold atrophy and collection of voice recordings in clinic remains challenging. The primary focus of this study is to describe a novel method for quantifying vocal atrophy and obtaining voice recordings in clinic among patients with ARVA.MethodsPatients with ARVA were included. Voice recordings were collected during the clinic visit, and acoustic analysis was subsequently performed. A novel mobile application was used to quantify the bowing index (BI).ResultsThe study included 10 patients with ARVA, with a mean age of 72.7 ± 6.8 years and body mass index (BMI) of 24.9 ± 2.4 kg/m2. Calculation of BI was feasible with a mean of 9.9 ± 1.8 units. On average, the audio recording took 2.6 ± 0.4 min, and subsequent analysis required 7.1 ± 1.8 min. Mean continuous speech f0 was 212.1 ± 10.1 and 134.2 ± 31.5 Hz for male and female patients, respectively. Smoothed cepstral peak prominence was 8.9 ± 1.5 dB (male) and 8.5 ± 0.3 dB (female), and maximum phonation time between male and female patients was 16.7 ± 9.8 and 13.8 ± 1.9 s, respectively.ConclusionWe present a feasible and streamlined method for quantification of vocal fold atrophy in the clinic among patients with ARVA. The accuracy and reliability of this new method are areas of ongoing investigation. Quantification of vocal atrophy may help with clinical decisions, including diagnosing vocal atrophy and tracking treatment progress. Moreover, this method may improve research data acquisition without burdening patients and clinicians with additional time‐consuming tasks.Level of evidence: 4.

Publisher

Wiley

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