关键词: 三叉神经痛, 减压术, 复发, 风险预测模型

Abstract: Objective：To explore the establishment and verification of a risk prediction model for recurrence after trigeminal neuralgia decompression.Methods：260 cases of trigeminal neuralgia patients undergoing microvascular decompression in the Department of Neurosurgery of our hospital from June 2016 to December 2018 were analyzed.The model group(n=200) and the verification group(n=60) were divided according to the sequence of the cases,and the recurrence group and the routine group were divided according to the postoperative pain recurrence.Multivariate Logistic regression was used to analyze the related factors affecting postoperative recurrence of trigeminal neuralgia,and a prediction model was established and verified.Results：Among the patients in the modeling group,9 cases fell off,35 cases had postoperative recurrence as the recurrence group,and the remaining 156 cases were in the conventional group,with a surgical recurrence rate of 18.32%.The proportion of the recurrent group with a history of tooth extraction,no clearly responsible vessels,arteriovenous compression,3 or more vessels involved,and second decompression was higher than that of the conventional group(P<0.05).Multivariate Logistic regression analysis showed that undefined responsibility vessels(OR=3.320),arteriovenous compression(OR=5.932) and 3 or more vessels involved(OR=3.799) were independent risk factors affecting the risk of recurrence after decompression of trigeminal neuralgia.The cindex of the risk of recurrence after decompression of trigeminal neuralgia was 0.917(95%Cl 0.854~0.949).Conclusion：This study constructed a simple risk prediction model for recurrence after trigeminal neuralgia decompression,which can accurately predict the recurrence after trigeminal neuralgia decompression,and is helpful for early treatment adjustment.

Key words: trigeminal neuralgia, decompression, recurrence, risk prediction model