Construction of a nomogram model used for predicting recurrent laryngeal nerve injury after thermal ablation for secondary hyperparathyroidism
10.3969/j.issn.1008-794X.2025.06.008
- VernacularTitle:列线图模型预测继发性甲状旁腺功能亢进症热消融术后喉返神经损伤
- Author:
Jianguang GAN
1
;
Jian LI
;
Yuanxia JIANG
;
Qiulin LI
;
Xuequn YANG
;
Zhaoyan DENG
Author Information
1. 537000 广西玉林 玉林市第一人民医院(广西医科大学第六附属医院)肾内科
- Keywords:
ultrasound intervention;
thermal ablation;
secondary hyperparathyroidism;
recurrent laryngeal nerve injury
- From:
Journal of Interventional Radiology
2025;34(6):603-608
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess the clinical value of a nomogram model constructed by the authors in predicting recurrent laryngeal nerve(RLN)injury after thermal ablation for secondary hyperparathyroidism(SHPT).Methods The clinical data of a total of 102 patients with end-stage renal disease SHPT,who received thermal ablation at the Yulin Municipal First People's Hospital of China from May 2019 to January 2024,were retrospectively analyzed.According to whether RLN injury occurred or not after thermal ablation,the patients were divided into RLN injury group(n=24)and non-RLN injury group(n=78).The clinical data were compared between the two groups.Multivariate logistic regression analysis was used to determine the independent risk factors for RLN injury.R language was used to construct a visualization nomogram according to the variables of the logistic regression model.The receiver operating characteristic(ROC)curve was used to evaluate the discrimination of the nomogram model.Hosmer-Lemeshow test and calibration curve were used to evaluate the goodness of fit and the calibration of the nomogram model.Results Superior gland ablation(OR=8.784,95％ CI:2.056-37.521,P=0.003),total parathyroid gland volume(OR=1.684,95％CI:1.167-2.430,P=0.005),thermal ablation energy(OR=1.132,95％ CI:1.016-1.261,P=0.025)were the independent risk factors for RLN injury after thermal ablation(all P＜0.05).Based on the above 3 risk factors,a nomogram model used for predicting the risk of RLN injury was established.The area under ROC curve(AUC)was 0.868,and the Hosmer-Lemeshow test showed that the degree of fit was good(P=0.769).The calibration curve indicated that the calibration curve basically coincided with the ideal curve.Conclusion Superior gland ablation,total parathyroid gland volume,and thermal ablation energy are the independent risk factors for RLN injury after thermal ablation in patients with end-stage renal disease SHPT.The nomogram model constructed based on the above mentioned three factors can effectively predict RLN injury.
