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Predictive model of operative time in transoral endoscopic thyroidectomy vestibular approach
Author(s) -
Tanavde Ved A.,
Razavi Christopher R.,
Chen Lena W.,
Ranganath Rohit,
Tufano Ralph P.,
Russell Jonathon O.
Publication year - 2021
Publication title -
head and neck
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.012
H-Index - 127
eISSN - 1097-0347
pISSN - 1043-3074
DOI - 10.1002/hed.26581
Subject(s) - medicine , vestibular system , thyroidectomy , multivariate statistics , surgery , bayesian multivariate linear regression , multivariate analysis , regression , thyroid , linear regression , ear lobe , radiology , statistics , mathematics
Abstract Background Transoral Endoscopic Thyroidectomy Vestibular Approach (TOETVA) has demonstrated excellent safety and is receiving wider use in North America. Understanding which factors lead to operative difficulty, as evaluated by operative time (OT), may help to improve safety and refine indications for this procedure. Methods Cases of TOETVA performed at our institution were reviewed. Multivariate linear regression was performed using patient demographics, thyroid characteristics, and operative variables to predict OT. Results A total of 207 cases were included for analysis. A multivariate linear regression model, controlling for age, sex, and BMI, was developed from 104 cases with an R 2 of 0.47 ( p < 0.001). Cross‐validation on 103 remaining cases showed root‐mean‐square error of 46.37. Total thyroidectomy and lobe size were the only significant predictors ( p < 0.001). Conclusions We successfully developed a model to predict OT for TOETVA based on preoperative and operative variables. Lobe size, but not BMI, is a significant predictor of OT.