Literature DB >> 32981809

Respiratory Function and Voice: The Role for Airflow Measures.

Jane Y Tong1, Robert T Sataloff2.   

Abstract

OBJECTIVE: To clarify the relationship between voice and respiratory function, and to understand the role for airflow measures in the evaluation of voice patients.
METHODS: Literature searches of MEDLINE (Ovid) and Web of Science were performed on April 6, 2020, to include articles written in English that both discussed voice in relation to lower respiratory function and reported evaluation of airflow. Search strategies included the keywords voice, respiratory, airflow, and aerodynamic measures. Data were extracted from articles that met inclusion criteria.
RESULTS: Twenty studies were included for review. Fourteen (70%) studies evaluated at least 1 spirometric respiratory measure, including Forced Vital Capacity, Forced Expiratory Volume in 1 second, and Forced Expiratory Flow. Other measures assessed included mean flow rate, mean peak airflow, phonatory airflow, inspiratory airflow, expiratory airflow, and phonation quotient. Notably, four studies which included pulmonary function tests (PFTs) as part of voice evaluation discovered previously undiagnosed respiratory disease in their study populations.
CONCLUSION: This review confirms that respiratory function contributes significantly to voice and reveals that few studies have explored the role for airflow measures in clarifying this relationship. Including airflow measures such as PFTs in standard voice evaluation may allow recognition of underlying respiratory disease contributing to voice dysfunction. Further research is recommended to establish indications and diagnostic criteria for the use of PFTs in voice patients.
Copyright © 2020 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Airflow; Pulmonary function tests; Respiratory function; Voice; Voice evaluation

Mesh:

Year:  2020        PMID: 32981809     DOI: 10.1016/j.jvoice.2020.07.019

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  1 in total

1.  Predicting Pulmonary Function From the Analysis of Voice: A Machine Learning Approach.

Authors:  Md Zahangir Alam; Albino Simonetti; Raffaele Brillantino; Nick Tayler; Chris Grainge; Pandula Siribaddana; S A Reza Nouraei; James Batchelor; M Sohel Rahman; Eliane V Mancuzo; John W Holloway; Judith A Holloway; Faisal I Rezwan
Journal:  Front Digit Health       Date:  2022-02-08
  1 in total

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