Prognostic significance of the QuickSIN score for future hearing threshold deterioration.
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2025-07
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About 10% of audiology patients who experience hearing difficulties in noise have clinically normal hearing thresholds in quiet. While it has been suggested that hearing difficulties in noise might be a precursor for the subsequent development of clinical hearing loss, there is so far no direct evidence that supports this hypothesis. This study aimed to determine whether hearing difficulties in noise, as measured by the Quick Speech in Noise (QuickSIN) test, could be used to identify people at risk of the development and the progression of clinical hearing loss, using a large dataset of 1128 individuals in the Baltimore Longitudinal Study of Aging (BLSA). A linear mixed model analysis revealed that individuals with a poorer QuickSIN score at the preceding audiological assessment were likely to reveal a more substantial deterioration in clinical audiometric thresholds at their subsequent visit than those with a better QuickSIN score at their previous assessment. These findings offer valuable insights for early interventions and monitoring strategies for individuals at risk of hearing loss.
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Liu, Jiayue, Haotian Zou, Eleanor M Simonsick, Joshua Stohl and Tobias Overath (2025). Prognostic significance of the QuickSIN score for future hearing threshold deterioration. Scientific reports, 15(1). p. 21962. 10.1038/s41598-025-07454-z Retrieved from https://hdl.handle.net/10161/33058.
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Scholars@Duke
Haotian Zou
Tobias Overath
Research in our lab investigates how sound is processed in the human brain. More specifically, we study the acoustic building blocks that must be assembled in complex listening situations, such as when we engage in a conversation or listen to a symphony. One branch of our research program centers on the neural representation of fundamental acoustic parameters, e.g. pitch and timbre, and the neural mechanisms for detecting meaningful acoustic changes of such parameters within an auditory scene. A second branch of our research investigates auditory perception at a linguistic level and addresses the transformation from speech-specific acoustic analysis to speech-specific linguistic analysis, with an emphasis on temporal integration constants. We employ a combination of behavioral and neuroimaging methods (fMRI, EEG) to elucidate the underlying neural processes in human auditory cortex with high spatial and temporal precision.
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