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Clinical Cutoff Scores for Acoustic Indices of Vocal Hyperfunction That Combine Relative Fundamental Frequency and Cepstral Peak Prominence.
Kapsner-Smith, Mara R; Díaz-Cádiz, Manuel E; Vojtech, Jennifer M; Buckley, Daniel P; Mehta, Daryush D; Hillman, Robert E; Tracy, Lauren F; Noordzij, J Pieter; Eadie, Tanya L; Stepp, Cara E.
Afiliação
  • Kapsner-Smith MR; Department of Speech & Hearing Sciences, University of Washington, Seattle.
  • Díaz-Cádiz ME; Department of Speech, Language & Hearing Sciences, Boston University, MA.
  • Vojtech JM; Department of Speech, Language & Hearing Sciences, Boston University, MA.
  • Buckley DP; Department of Biomedical Engineering, Boston University, MA.
  • Mehta DD; Department of Speech, Language & Hearing Sciences, Boston University, MA.
  • Hillman RE; Department of Otolaryngology-Head & Neck Surgery, Boston University School of Medicine, MA.
  • Tracy LF; MGH Institute of Health Professions, Boston, MA.
  • Noordzij JP; Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston.
  • Eadie TL; Department of Surgery, Harvard Medical School, Cambridge, MA.
  • Stepp CE; MGH Institute of Health Professions, Boston, MA.
J Speech Lang Hear Res ; 65(4): 1349-1369, 2022 04 04.
Article em En | MEDLINE | ID: mdl-35263546
ABSTRACT

PURPOSE:

This study examined the discriminative ability of acoustic indices of vocal hyperfunction combining smoothed cepstral peak prominence (CPPS) and relative fundamental frequency (RFF).

METHOD:

Demographic, CPPS, and RFF parameters were entered into logistic regression models trained on two 11 case-control groups individuals with and without nonphonotraumatic vocal hyperfunction (NPVH; n = 360) and phonotraumatic vocal hyperfunction (PVH; n = 240). Equations from the final models were used to predict group membership in two independent test sets (n = 100 each).

RESULTS:

Both CPPS and RFF parameters significantly improved model fits for NPVH and PVH after accounting for demographics. CPPS explained unique variance beyond RFF in both models. RFF explained unique variance beyond CPPS in the PVH model. Final models included CPPS and RFF offset parameters for both NPVH and PVH; RFF onset parameters were significant only in the PVH model. Area under the receiver operating characteristic curve analysis for the independent test sets revealed acceptable classification for NPVH (72%) and good classification for PVH (86%).

CONCLUSIONS:

A combination of CPPS and RFF parameters showed better discriminative ability than either measure alone for PVH. Clinical cutoff scores for acoustic indices of vocal hyperfunction are proposed for assessment and screening purposes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Voz / Distúrbios da Voz Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Voz / Distúrbios da Voz Idioma: En Ano de publicação: 2022 Tipo de documento: Article