ALGORITHM FOR EARLY DIAGNOSIS AND PREVENTION OF PROFESSIONAL SENSORINEURAL HEARING LOSS
Abstract: The aim of the study is to develop an algorithm for early diagnosis and prevention of professional neurosensory hearing elasticity (PNST). A comprehensive audiological survey of 600 miners aged 37 to 58, with 10 to 35 years of experience in noise conditions above the PDU for 7-21 dBA (class 3.1-3.3) was carried out. Based on the studies, an algorithm of early diagnosis and prevention of PNST, consisting of 3 blocks: I - hygienic (assessment of working conditions and risk categorization), II - clinical diagnostic, based on modern audiological methods of hearing research with the selection of diagnostic markers of risk of PNST, III - preventive, including the development of individual hearing preservation programs. The developed algorithm allows in 65-75% of cases to identify changes in the auditory analyzer at the preclinical stage, to clarify the nature and localization of the auditory analyzer, which is important in the development of therapeutic and preventive measures.