Voice Analysis as a Predictor for Difficult Intubations

January 12, 2022 updated by: J. Matthias Walz
To investigate if signal processing can detect subtle changes in speech production clinically relevant to oropharynx anatomy that may provide an objective measure in the assessment of the presumed difficulty of intubation.

Study Overview

Detailed Description

The purpose of this study is to investigate whether changes in phonation (sounds coming from vocal cords that occur when a person speaks) can be used as a reliable measure to predict airways that may be difficult to manage in the operating room.

One of the reasons the Preoperative Surgical Assessment (PSE) is performed is to assess subjects for signs of a difficult airway. At this time, none of the assessments have proven to be both highly sensitive and specific. Multiple studies have shown that specific characteristics of a subject's speech can suggest that they may have an issue with the anatomy of the oropharynx (the area consisting of the back of the throat to the vocal cords). Prior research has shown that studying velar vowel sounds, those vowels that require the use of the back of the tongue to pronounce, can be used to predict a disorder called obstructive sleep apnea (a disease associated with difficulty breathing).

The Investigators are trying to determine whether the development of a simple voice study conducted during the PSE visit could alert the Anesthesiologist caring for the subject in the operating room to use the extra precautions provided for people who have a documented history of a difficult airway. It is hoped that the voice analysis test being developed in this study will have the ability to objectively predict a difficult airway for future patients.

Study Type

Observational

Enrollment (Actual)

13

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Massachusetts
      • Worcester, Massachusetts, United States, 01655
        • UMASS Memorial - Medical School Campus

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Subjects with a documented history of difficult airways and subjects of the same age (matched for age) with normal airways to be used as controls. Patient are labeled as a difficult airway during their hospitalization, they are given a copy of the difficult airway documentation so the patient should be aware already that they are labeled as a difficult airway.

Description

Inclusion Criteria:

  • 18 years of age or older
  • Able to provide informed consent
  • A known documented history of having a difficult airway
  • An age-matched control subject with normal airways.

Exclusion Criteria:

  • Unable to consent for themselves
  • Non-English speaking subjects
  • Pregnant Subjects
  • Previous Vocal Cord Surgery
  • Previous Head and neck surgery that would alter anatomy of hypopharynx

We will not include:

  • Prisoners
  • Pregnant women
  • Individuals who are not yet adults (infants, children, teenagers)
  • Adults unable to consent
  • Adults who cannot speak English We will not be enrolling subjects who cannot speak English. The subjects must be able to understand the research team member who is testing them as well as the research paradigm.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Difficult airways
Documented history of difficult airways.
Control (Not difficult airways)
Age matched with normal airways to be used as controls

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Audio Samples to Predict Difficult Intubation
Time Frame: 15-20 minutes
An audio sample from each participant will be broken down into its signal components using signal-processing methods to evaluate whether there are differences between the two participant groups which may correlate to difficult intubation.
15-20 minutes

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: J. M Walz, MD, UMass Medical School

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 28, 2017

Primary Completion (Actual)

February 19, 2021

Study Completion (Actual)

February 22, 2021

Study Registration Dates

First Submitted

August 24, 2019

First Submitted That Met QC Criteria

September 24, 2019

First Posted (Actual)

September 26, 2019

Study Record Updates

Last Update Posted (Actual)

March 15, 2022

Last Update Submitted That Met QC Criteria

January 12, 2022

Last Verified

January 1, 2022

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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