Cited 9 times in
Acoustic Psychometric Severity Index of Dysphonia (APSID): Development and Clinical Application
DC Field | Value | Language |
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dc.contributor.author | 김향희 | - |
dc.contributor.author | 이승진 | - |
dc.contributor.author | 최홍식 | - |
dc.date.accessioned | 2022-11-24T00:38:04Z | - |
dc.date.available | 2022-11-24T00:38:04Z | - |
dc.date.issued | 2021-07 | - |
dc.identifier.issn | 0892-1997 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/190843 | - |
dc.description.abstract | Objectives/hypothesis: The purpose of this study was to explore the predictability of the Korean version of the Voice Activity and Participation Profile (K-VAPP) scores and acoustic measures for perceived severity of voice disorders. Furthermore, usefulness of the index derived from the multivariate formula as a screening tool for voice disorders was explored and compared with that of the Cepstral Spectral Index of Dysphonia (CSID). Methods: A total of 150 patients with various voice disorders (42 males and 108 females, age = 45.15 ± 15.15 years) and matched 50 normal controls (14 males and 36 females, age = 44.78 ± 13.70 years), participated in the study. Correlates of perceived overall severity were explored by a stepwise regression analysis with regards to demographic information (age, gender, and professional voice use), jitter, shimmer, and noise-to-harmonic ratio of vowel samples, cepstral peak prominence (CPP), L/H spectral ratio, and their standard deviations of sentence and vowel samples, and psychometric measures of the K-VAPP. Using the ROC curve analysis, the area under curve (AUC) of the novel index derived from the regression equation and the CSID were compared and the cut-off score of the index was obtained. Results: A significant portion (adjusted R square = 79.0%) of the overall severity perceived by clinicians was predicted by five parameters: CPP of the sentence and vowel production, the self-perceived severity subscale score of the K-VAPP, σCPP of the vowel production, and gender. The AUC of the novel index was 0.935 (95% confidence interval 0.891-0.965) and significantly higher than that of the CSID of vowel samples (AUC = 0.832). The cutoff score with the highest Youden J Index (0.7612) was >22.257617 (sensitivity = 82.12%, specificity = 94.00%). Conclusion: The current data showed the possibility that a novel index reflecting both acoustic and psychometric correlates of auditory-perceptual estimates for dysphonia severity could be suggested and possibly named as the "Acoustic Psychometric Severity Index of Dysphonia (APSID)." Further studies pertaining to the follow-up of various voice disorders are needed to extend its clinical usefulness. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Mosby | - |
dc.relation.isPartOf | JOURNAL OF VOICE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Acoustics | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Dysphonia* / diagnosis | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Psychometrics | - |
dc.subject.MESH | Severity of Illness Index | - |
dc.subject.MESH | Speech Acoustics | - |
dc.subject.MESH | Speech Production Measurement | - |
dc.subject.MESH | Voice Quality | - |
dc.title | Acoustic Psychometric Severity Index of Dysphonia (APSID): Development and Clinical Application | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Rehabilitation Medicine (재활의학교실) | - |
dc.contributor.googleauthor | Seung Jin Lee | - |
dc.contributor.googleauthor | Hong-Shik Choi | - |
dc.contributor.googleauthor | HyangHee Kim | - |
dc.identifier.doi | 10.1016/j.jvoice.2019.11.006 | - |
dc.contributor.localId | A01107 | - |
dc.contributor.localId | A05591 | - |
dc.contributor.localId | A04223 | - |
dc.relation.journalcode | J01931 | - |
dc.identifier.eissn | 1873-4588 | - |
dc.identifier.pmid | 31810840 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0892199719303339 | - |
dc.subject.keyword | Acoustic Psychometric Severity Index of Dysphonia (APSID) | - |
dc.subject.keyword | Cepstral analysis | - |
dc.subject.keyword | Voice Activity and Participation Profile (VAPP) | - |
dc.subject.keyword | Voice disorders | - |
dc.subject.keyword | Voice screening | - |
dc.contributor.alternativeName | Kim, Hyang Hee | - |
dc.contributor.affiliatedAuthor | 김향희 | - |
dc.contributor.affiliatedAuthor | 이승진 | - |
dc.contributor.affiliatedAuthor | 최홍식 | - |
dc.citation.volume | 35 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 600.e19 | - |
dc.citation.endPage | 600.e25 | - |
dc.identifier.bibliographicCitation | JOURNAL OF VOICE, Vol.35(4) : 600.e19-600.e25, 2021-07 | - |
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