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Risk Factors Analysis and Prevention Strategy of Renke Space Edema Complicated with Vocal Cord Adhesion After CO2 Laser Resection / 中山大学学报(医学科学版)
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 310-317, 2023.
Artículo en Chino | WPRIM | ID: wpr-965847
ABSTRACT
ObjectiveTo investigate the prevention strategy of bilateral vocal cord adhesion after simultaneous Renke space edema resection under CO2 laser. MethodsSeventy patients who underwent CO2 laser resection of bilateral Renke space edema of vocal cords from June 2018 to June 2021 in our hospital were retrospectively selected for this study. According to their postoperative vocal cord adhesion, patients were divided into vocal cord adhesion group (35 cases) and silent band adhesion group (35 cases), and the general data of the two groups were compared. Multivariate logistic regression analysis was used to evaluate the risk factors for postoperative vocal cord adhesion. The prediction model of postoperative morbidity risk of vocal cord adhesion was established by using chisquared automatic interaction detection (CHAID) classification tree algorithm, and the application value of the model was evaluated by benefit graph and index graph. ResultsMultivariate analysis showed that surgical range and depth of Ⅱ, laser power≥5 W and anterior connection involvement were the risk factors for postoperative vocal cord adhesion [OR 95%CI: 6.113 (2.346, 17.451); 5.214 (1.469, 15.263); 18.651 (1.689, 36.203)]. The classification tree model showed that anterior articulation involvement was an important predictor of postoperative vocal cord adhesion (76.92%; χ2=11.993, P=0.001), and the benefit graph and index graph showed good models. ConclusionClinical attention should be paid to surgical scope and depth, laser power and anterior union involvement, and timely prevention strategies should be formulated to reduce the risk of vocal cord adhesion in patients.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Journal of Sun Yat-sen University(Medical Sciences) Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Journal of Sun Yat-sen University(Medical Sciences) Año: 2023 Tipo del documento: Artículo