Establishment of Prediction Model for Postoperative Sore Throat
NCT ID: NCT07088224
Last Updated: 2025-07-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
375 participants
OBSERVATIONAL
2025-08-01
2026-07-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Observational studies without intervention
Observational studies without intervention
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Nanjing First Hospital, Nanjing Medical University
OTHER
Responsible Party
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XiaoLiang Wang
Chief Physician
Other Identifiers
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KY20250624-12
Identifier Type: -
Identifier Source: org_study_id
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