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Nomogram for Predicting Early-Tracheostomy Decannulation in Patients Undergoing Partial Laryngectomy
Zhigang Xia1, Tingfeng Zhou2, Renyu Lin3
1Department of Otorhinolaryngology, The Second Affiliated Hospital of Jiaxing University, Zhejiang, China.
This study developed a nomogram to predict early tracheostomy decannulation in laryngeal cancer patients. Key predictors include age, smoking history, surgical method, and drainage tube use, aiding clinical decision-making.
Area of Science:
- Oncology
- Surgical Oncology
- Laryngology
Background:
- Laryngeal cancer treatment often involves partial laryngectomy, potentially requiring tracheostomy.
- Early tracheostomy decannulation is a crucial indicator of successful laryngeal function recovery.
- Predicting decannulation facilitates optimized patient management and resource allocation.
Purpose of the Study:
- To identify predictive factors for early tracheostomy decannulation after partial laryngectomy for laryngeal cancer.
- To develop and validate a nomogram predicting the probability of decannulation within one month.
Main Methods:
- Retrospective analysis of 141 patients with laryngeal cancer undergoing laryngeal function preservation surgery.
- Multivariate logistic regression to identify independent predictors of early decannulation.
- Validation using Receiver Operating Characteristic (ROC) curves, calibration curves, and decision curve analysis.
Main Results:
- 82 out of 141 patients (58.2%) achieved early decannulation.
- Independent predictors for early decannulation included younger age, non-smoking history, specific surgical modalities, and absence of a drainage tube.
- The developed nomogram demonstrated good discriminative capacity (AUC=0.756) and clinical utility.
Conclusions:
- A nomogram incorporating age, smoking history, surgical modality, and drainage tube status effectively predicts early tracheostomy decannulation.
- This tool can assist clinicians in managing patients undergoing partial laryngectomy for laryngeal cancer.
- The nomogram aids in anticipating decannulation timelines and optimizing postoperative care.
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