Analysis the influencing factors and risk warning of the therapeutic efficacy of multi plane low temperature plasma radiofrequency ablation for OSAHS.
10.13201/j.issn.2096-7993.2025.09.013
- Author:
Xing LIU
1
;
Kaiwei DONG
2
;
Meng LIU
2
;
Huachao LI
1
;
Bo NING
1
Author Information
1. New City Ear，Nose and Throat Department of Xuzhou Central Hospital，Xuzhou，221000，China.
2. Xuzhou Clinical College，Xuzhou Medical University.
- Publication Type:Journal Article
- Keywords:
efficacy evaluation;
multi plane low-temperature plasma radiofrequency ablation;
obstructive sleep apnea hypopnea syndrome;
risk warning
- MeSH:
Radiofrequency Ablation/methods*;
Plasma Gases;
Sleep Apnea, Obstructive/surgery*;
Polysomnography;
Postoperative Complications/epidemiology*;
Quality of Life;
Severity of Illness Index;
Treatment Outcome;
Humans
- From:
Journal of Clinical Otorhinolaryngology Head and Neck Surgery
2025;39(9):871-876
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the efficacy, influencing factors, and risk warning of multi-plane low-temperature plasma radiofrequency ablation（MLT-RFA） in the treatment of obstructive sleep apnea hypopnea syndrome（OSAHS）. Methods:A total of 118 OSAHS patients admitted from October 2022 to June 2024 were selected as the research subjects. They were divided into mild group（n=46）, moderate group（n=52）, and severe group（n=20） according to the severity of their condition. MLT-RFA treatment was used for all patients. After surgery, the results of polysomnography（PSG） and the changes in the Calier Sleep Apnea Quality of Life Index（SAQLI） were observed before and after treatment. The incidence of complications after treatment was recorded, and the clinical efficacy of the patients was evaluated. At the same time, they were divided into a treatment effective group（n=106） and an ineffective group（n=12） according to their effects. The general clinical data of the two groups were compared, and binary logistics regression analysis was conducted to identify independent factors that affect treatment efficacy and construct a model. ROC curve analysis was used to evaluate the diagnostic efficacy of the model. Results:The treatment effectiveness rate of the mild group was 93.48%, the moderate group was 90.38%, and the severe group was 80.00%. There was no statistically significant difference in the treatment effectiveness rate among the three groups（P>0.05）. The AHI of the mild group, moderate group, and severe group increased sequentially, while the LSaO2and SAQLI scores decreased sequentially. After treatment, the AHI of all three groups decreased compared to before treatment, while the LSaO2and SAQLI scores increased compared to before treatment, and the differences were statistically significant（P<0.05）. The pre-treatment AHI of the effective group was lower than that of the ineffective group, and the pre-treatment LSaO2and SAQLI were higher than those of the ineffective group, with statistically significant differences（P<0.05）. Pre-treatment LSaO2and pre-treatment SAQLI are independent factors affecting the efficacy of MLT-RFA（P<0.05）. The AUC of pre-treatment LSaO2, pre-treatment SAQLI, and combined prediction were 0.907, 0.763, and 0.947, respectively, with sensitivities of 0.896, 0.840, and 0.917, and specificities of 0.833, 0.667, and 0.887, respectively. Conclusion:MLT-RFA has a significant effect on the treatment of OSAHS, and the AHI, LSaO2, and SAQLI of patients before treatment can predict the treatment effect, with LSaO2 and SAQLI being independent influencing factors. The combinerd prediction model exhibits high diagnostic efficiency, sensitivity, and specificity.
