Asploro Journal of Biomedical and Clinical Case Reports

Asploro Journal of Biomedical and Clinical Case Reports

ISSN: 2582-0370

Article Type: Original Article

DOI: 10.36502/2024/ASJBCCR.6345

Asp Biomed Clin Case Rep. 2024 May 25;7(2):106-18

Xueguang Zhang^1,2, Yuting Huang¹, Wen Shen^1*
1Department of Pain Management, The Affiliated Hospital of Xuzhou Medical University, China
²Department of Pain Management, West China Hospital, Sichuan University, China

Corresponding Author: Wen Shen
Address: Department of Pain Management, The Affiliated Hospital of Xuzhou Medical University, No.99-9 Huaihai West Road, Xuzhou, Jiangsu 221000, P.R China.
Received date: 01 May 2024; Accepted date: 18 May 2024; Published date: 25 May 2024

Citation: Zhang X, Huang Y, Shen W. Establishment of a Clinical Prediction Model Based on the Study of Risk Factors for Pain Recurrence after Percutaneous Radiofrequency Thermocoagulation in Patients with Primary Trigeminal Neuralgia. Asp Biomed Clin Case Rep. 2024 May 25;7(2):106-18.

Copyright © 2024 Zhang X, Huang Y, Shen W. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Keywords: Primary Trigeminal Neuralgia, Percutaneous Radiofrequency Thermocoagulation, Pain Recurrence, Risk Factor, Prediction Model

Abstract

Objectives: This study aimed to investigate the follow-up outcomes and risk factors associated with pain recurrence after percutaneous radiofrequency thermocoagulation (PRT) among patients with primary trigeminal neuralgia (PTN) and to establish a clinical prediction model based on these risk factors.
Methods: The data of PTN patients who underwent PRT were collected in our study. All subjects were randomly divided at a 7:3 ratio into a training group (T Group) and a test group (C Group) to select risk factors. According to the follow-up results, the patients were divided into a recurrence group (F Group) and a nonrecurrence group (NF Group). Predictive factors were selected through LASSO regression analysis based on T Group. The identified variables were subjected to multivariate logistic regression analysis to construct a nomogram. Receiver operating characteristic (ROC) curves and calibration curves were uesd to evaluate discrimination and calibration ability separately.
Results: A total of 884 patients were initially included, 857 patients achieved satisfactory results, and the pain relief rate at discharge was 96.95%. A total of 529 subjects were included after screening, and the recurrence rate was 27.22% after 1 year. Six non-zero variables were selected through LASSO regression analysis: the disease course, atypical pain, previous surgery, facial numbness before PRT, neurovascular contact (NVC), and operation duration. Six variables were included in the multivariate logistic regression analysis, and the results showed that they were independent risk factors (P<0.05). The predictive model is represented by a nomogram. The area under the curves (AUC) of the ROC curves were 0.868 (0.826~0.909) and 0.874 (0.802~0.950) for T Group and C Group, respectively. The prediction curves for T Group (P=0.784) and C Group (P=0.293) fit the ideal prediction curve, and the Brier scores were 0.120 and 0.099 for T Group and C Group, which indicates that the probability predicted by the model is consistent with the actual occurrence.
Conclusion: The Pain relief rate at discharge was 96.95% for PTN patients after PRT, and the recurrence rate was 27.22% after 1 year. The disease course, atypical pain, previous surgery, facial numbness before PRT, NVC, and operation duration are independent risk factors for the recurrence of pain. A nomogram model for pain recurrence was established, which has good predictive ability.