ABSTRACT
Background and Objectives@#Several drugs which can improve blood flow have been used as treatment options for sudden sensorineural hearing loss (SSNHL) based on the theory that improvement of perfusion into the inner ear will help restore hearing. Lipo-prostaglandin E1 (lipo-PGE1) is a well-known vasodilator that increases peripheral blood flow. The purpose of this study was to investigate the effect of lipo-PGE1 on the recovery of the SSNHL patients with hypertension or diabetes.Subjects and Method We retrospectively analyzed 801 patients who were diagnosed with SSNHL from January 2007 to December 2018. All patients were treated with 48 mg of methylprednisolone for 5 days; some patients received lipo-PGE1, depending on the attending physician. They were divided into four groups according to the presence or absence of hypertension and diabetes. Hearing test was performed again one month after treatment and compared with the test results at the time of diagnosis. @*Results@#As a result of comparing the hearing thresholds before and after the treatment in each group, there was a significant improvement in hearing thresholds in all groups (p<0.001). However, when comparing the effect of lipo-PGE1 for hearing change, there was a significant difference only in the group without any underlying diseases (p=0.016). @*Conclusion@#In this study, we show that lipo-PGE1 was helpful in hearing recovery when used in patients without underlying diseases rather than patients with hypertension or diabetes. Further studies will be needed to determine the therapeutic effects of lipo-PGE1 as an adjuvant treatment in SSNHL patients.
ABSTRACT
BACKGROUND AND OBJECTIVES: People usually converse in real-life background noise. They experience more difficulty understanding speech in noise than in a quiet environment. The present study investigated how speech recognition in real-life background noise is affected by the type of noise, signal-to-noise ratio (SNR), and age. SUBJECTS AND METHODS: Eighteen young adults and fifteen middle-aged adults with normal hearing participated in the present study. Three types of noise [subway noise, vacuum noise, and multi-talker babble (MTB)] were presented via a loudspeaker at three SNRs of 5 dB, 0 dB, and -5 dB. Speech recognition was analyzed using the word recognition score. RESULTS: 1) Speech recognition in subway noise was the greatest in comparison to vacuum noise and MTB, 2) at the SNR of -5 dB, speech recognition was greater in subway noise than vacuum noise and in vacuum noise than MTB while at the SNRs of 0 and 5 dB, it was greater in subway noise than both vacuum noise and MTB and there was no difference between vacuum noise and MTB, 3) speech recognition decreased as the SNR decreased, and 4) young adults showed better speech recognition performance in all types of noises at all SNRs than middle-aged adults. CONCLUSIONS: Speech recognition in real-life background noise was affected by the type of noise, SNR, and age. The results suggest that the frequency distribution, amplitude fluctuation, informational masking, and cognition may be important underlying factors determining speech recognition performance in noise.