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Updated: May 2, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
A novel scoring system to distinguish vocal cord dysfunction from asthma
Russell S Traister1, Merritt L Fajt1, Douglass Landsittel2
1Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pa.
The Pittsburgh Vocal Cord Dysfunction Index helps differentiate vocal cord dysfunction from asthma using key symptoms like throat tightness and dysphonia. This validated tool aids in accurate diagnosis and prevents unnecessary asthma medication.
Area of Science:
- Pulmonology
- Otolaryngology
- Diagnostic Medicine
Background:
- Vocal cord dysfunction (VCD) is frequently misdiagnosed as asthma.
- This misdiagnosis leads to increased medication use and healthcare costs.
Purpose of the Study:
- To develop a reliable scoring index to differentiate VCD from asthma.
- To improve diagnostic accuracy and patient management.
Main Methods:
- Compared demographics, comorbidities, symptoms, and triggers in VCD (n=89) and asthma (n=59) cohorts.
- Utilized multivariable logistic regression to identify distinguishing features.
- Developed and validated the Pittsburgh Vocal Cord Dysfunction Index (PVCDI) in an independent sample (n=72).
Main Results:
- Key VCD indicators include throat tightness, dysphonia, absence of wheezing, and odor triggers.
- The PVCDI demonstrated high sensitivity (0.83) and specificity (0.95) at a cutoff of ≥4.
- The index achieved 77.8% diagnostic accuracy in an independent cohort with laryngoscopy-proven VCD.
Conclusions:
- The PVCDI is a simple, valid tool for diagnosing VCD.
- Facilitates timely and accurate diagnosis, preventing misdiagnosis as asthma.
- Further prospective validation in broader populations is recommended.
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