Not_yet_recruitingNCT07612618

Prediction of Age-Related Hearing Loss Based on Comprehensive Risk Factors

Sponsor: Chinese PLA General Hospital

Trial Details

Condition	Age-related Hearing Loss
Intervention	Not applicable- observational study
Status	Not_yet_recruiting
Participants	1,000
Est. Completion	31 Dec 2027
Last Updated	29 May 2026

Primary Outcome

AUC of ARHL machine learning model and cognitive-related protein biomarkers

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: 1. Age ≥ 60 years; 2. Availability of longitudinal pure-tone audiometry data; 3. Documented history of occupational noise exposure; 4. Complete clinical data (including past medical history and medication history). Exclusion Criteria: 1. Hearing loss caused by non-age or non-noise factors (e.g., otitis media, otosclerosis, Meniere's disease); 2. Missing clinical data \>20%; 3. Concurrent severe mental illness or cognitive impairment (unable to complete audiological assessment).

View Registry Entry

Related Analysis

Large-Scale Observational Study Seeks to Predict Age-Related Hearing Loss Using Machine Learning — Implications for Early Intervention

Chinese researchers are developing machine learning models to predict age-related hearing loss using 15-year longitudinal data from 1,000 participants. The study combines retrospective analysis with prospective biomarker collection to create early identification tools for hearing decline.

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