Clinical Trials Directory

Trials / Not Yet Recruiting

Not Yet RecruitingNCT07088224

Establishment of Prediction Model for Postoperative Sore Throat

Analysis of Risk Factors and Establishment of Prediction Model for Postoperative Sore Throat After Thyroid Surgery Under General Anesthesia

Status
Not Yet Recruiting
Phase
Study type
Observational
Enrollment
375 (estimated)
Sponsor
Nanjing First Hospital, Nanjing Medical University · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Accepted

Summary

This observational study aims to identify the risk factors associated with postoperative sore throat (POST) and to develop a clinical prediction model for patients undergoing thyroid surgery under general anesthesia. Despite improvements in surgical and anesthetic techniques, POST remains one of the most common complications following thyroidectomy, with an incidence of up to 80%. POST can significantly impact patient comfort, swallowing function, nutritional intake, and recovery quality, leading to prolonged hospitalization and increased healthcare costs. The etiology of POST is multifactorial, involving intubation-related factors (e.g., endotracheal tube size, cuff pressure), surgery-related factors (e.g., duration of surgery, neck hyperextension), and patient-related factors (e.g., age, sex, smoking history, pre-existing throat symptoms). However, large-scale, systematic studies in the Chinese population remain limited. With the increasing adoption of Enhanced Recovery After Surgery (ERAS) principles, the accurate identification of modifiable risk factors and early prediction of POST risk are essential for targeted preventive strategies and improved perioperative management. Recent advancements in machine learning and statistical modeling allow for the development of personalized, multifactorial risk assessment tools. In this study, clinical data from patients undergoing thyroid surgery at Nanjing First Hospital will be collected and analyzed. The primary goal is to identify key preoperative and intraoperative predictors of POST and to establish a multivariable nomogram-based prediction model. Internal validation using bootstrap methods will be performed to evaluate the model's discrimination, calibration, and clinical utility, ultimately supporting evidence-based interventions to improve postoperative outcomes and patient satisfaction.

Conditions

Interventions

TypeNameDescription
OTHERObservational studies without interventionObservational studies without intervention

Timeline

Start date
2025-08-01
Primary completion
2026-07-01
Completion
2026-07-31
First posted
2025-07-28
Last updated
2025-07-28

Source: ClinicalTrials.gov record NCT07088224. Inclusion in this directory is not an endorsement.