A Multicenter Cross-sectional Study on Tinnitus Subtypes and Risk Factors

January 31, 2026 updated by: Hongsheng Tan, Shanghai Jiao Tong University School of Medicine

EHR-Based Risk Factors With Prediction Models for Tinnitus Subtypes: A Multicenter Cross-sectional Study

Tinnitus affects an estimated 10-15% of the global population and can substantially impair quality of life, yet clinically actionable approaches for subtype identification and risk stratification remain limited. This multicenter, cross-sectional observational study will use de-identified electronic health record (EHR) data from three otolaryngology specialty hospitals in China to address these gaps. All extracted data will be de-identified with direct identifiers removed, and privacy safeguards will be implemented in accordance with institutional policies and applicable regulations to protect patient confidentiality.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Using a prespecified, clinically informed framework, we will classify tinnitus into relevant subtypes, including somatosensory tinnitus, acute vs. chronic tinnitus, pulsatile tinnitus, and sudden hearing loss-related tinnitus. We will first describe the distribution of these subtypes and characterize their demographic, clinical, and laboratory profiles. We will then evaluate associations between candidate risk factors and subtype membership using multivariable analyses to quantify adjusted effects. Finally, we will develop and validate multivariable prediction models using both conventional statistical approaches and machine learning methods to support tinnitus subtype classification. Model performance will be assessed using discrimination, calibration, and clinical utility metrics. By integrating routine clinical data with biomarker information captured in real-world care, this study aims to provide evidence-based tools to improve tinnitus subtype diagnosis and enable more personalized clinical assessment.

Study Type

Observational

Enrollment (Actual)

3345

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Chongqing, China
        • Chongqing Renpin ENT Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients with any type of tinnitus from three otolaryngology specialty hospitals in China

Description

Inclusion Criteria:

  • ≥18 years old;
  • Patients diagnosed with various types of tinnitus;
  • Patients with available electronic medical records, including demographic and clinical information.

Exclusion Criteria:

  • Patients with incomplete data;
  • Patients with severe neurological;
  • Patients with disorders that may confound tinnitus assessment.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Patients in Each Tinnitus Subtype
Time Frame: baseline
The number of participants classified into each predefined tinnitus subtype based on an integrated diagnosis clinical classification framework.
baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Adjusted odds ratios of risk factors associated with each tinnitus subtype
Time Frame: baseline
Multivariable logistic regression-derived odds ratios quantifying the independent association between risk factors and specific tinnitus subtypes.
baseline
Accuracy of prediction models for identifying tinnitus subtype classification
Time Frame: baseline
The diagnostic performance of a multimodal classification model for identifying tinnitus subtype. The model integrates clinical characteristics, laboratory parameters, and computed tomography imaging features. Tinnitus subtype, determined by physician medical diagnosis, serves as the reference standard. Model performance will be quantified using the area under the receiver operating characteristic curve (AUC). The unit of measure is Area under the ROC curve (AUC).
baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Hongsheng Tan, Dr, Shanghai Jiao Tong University School of Medicne

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2022

Primary Completion (Actual)

November 30, 2024

Study Completion (Actual)

January 16, 2026

Study Registration Dates

First Submitted

January 4, 2026

First Submitted That Met QC Criteria

January 31, 2026

First Posted (Actual)

February 3, 2026

Study Record Updates

Last Update Posted (Actual)

February 3, 2026

Last Update Submitted That Met QC Criteria

January 31, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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