The Best-Matched Pure Tone Average and Speech Recognition Threshold for Different Audiometric Configurations.
10.3342/kjorl-hns.2016.59.10.725
- Author:
Jeong Min KIM
1
;
Mi Sun NA
;
Ki Hwan JUNG
;
Soo Hyeong LEE
;
Jae Sang HAN
;
Oh Hyeong LEE
;
So Young PARK
Author Information
1. Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea. sypak@catholic.ac.kr
- Publication Type:Original Article
- Keywords:
Audiogram;
Functional hearing loss;
Medical certificate;
Pure-tone threshold;
Three-frequency average
- MeSH:
Certification;
Ear;
Hearing Loss, Functional;
Linear Models;
Methods;
Retrospective Studies
- From:Korean Journal of Otolaryngology - Head and Neck Surgery
2016;59(10):725-729
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND AND OBJECTIVES: The agreement between pure-tone average (PTA) and speech recognition threshold (SRT) has become more important with the increasing demands for medical certification. The purpose of this study was to explore the relationships between the SRT and several variations of PTA, and to determine which PTA formula would provide the best agreement with SRT for different audiometric configurations. SUBJECTS AND METHOD: Audiological data on 783 ears were retrospectively collected. The air-conduction PTAs were calculated using five different formulas: three-frequency average (3FA), weighted three-frequency average (W3FA), four-frequency average (4FA), weighted four-frequency average (W4FA), and six-frequency average (6FA). The audiometric configuration was classified into five categories. The PTA-SRT relationships were analyzed using correlation and simple linear regression for each audiometric configuration. RESULTS: Highest correlation was observed between the SRT and W3FA for all audiometric configurations with the correlation coefficient of 0.964 as a whole. The SRT and 3FA were best-matched in the linear regression models for overall/flat/high frequency gently sloping/low frequency ascending; the SRT and W3FA were best-matched for high frequency steeply sloping (HFSS); the SRT and 4FA were best-matched for miscellaneous audiograms. CONCLUSION: The most stable PTA variations that make the best-matched pairs with SRT for any audiogram are the conventional 3FA and W3FA doubling 1 kHz threshold. The addition of frequencies higher than 2 kHz to a PTA formula seems to have impeded the PTA-SRT agreement, especially for HFSS audiograms. W3FA should be the method of choice in predicting SRT from PTA for HFSS audiograms.
