Prediction of Age-Related Hearing Loss Based on Comprehensive Risk Factors
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Not applicable- observational study.
- Who it may be relevant to
- Registry conditions: Age-related Hearing Loss. Basic parameters: 60 years — 100 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
This study aims to develop a predictive model for age-related hearing loss (ARHL) based on multi-source risk factors and artificial intelligence techniques. A retrospective analysis will be conducted on 1,000 cases with 15-year longitudinal clinical data, including audiological assessments and noise exposure history. Machine learning algorithms will be employed to construct a predictive model for hearing loss progression. Additionally, a prospective cohort of 100 community-dwelling elderly individuals will be enrolled. Blood samples will be collected for low-abundance targeted proteomics analysis to screen for biomarkers associated with cognitive impairment. This study will establish an early risk identification tool for ARHL and propose strategies for the screening and prevention of dementia in individuals with hearing impairment, thereby providing evidence-based support for early intervention in auditory and cognitive health in the elderly.
Interventions
- Other Not applicable- observational study
Not applicable-observational study
Primary outcome measures
- AUC of ARHL machine learning model and cognitive-related protein biomarkers [Time frame: Baseline and 12 months]
Eligibility criteria
Inclusion criteria
- Age ≥ 60 years;
- Availability of longitudinal pure-tone audiometry data;
- Documented history of occupational noise exposure;
- Complete clinical data (including past medical history and medication history).
Exclusion criteria
- Hearing loss caused by non-age or non-noise factors (e.g., otitis media, otosclerosis, Meniere's disease);
- Missing clinical data >20%;
- Concurrent severe mental illness or cognitive impairment (unable to complete audiological assessment).
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Cohort
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07612618 · CFH 2026-2-5072 · CFH 2026-2-5072