临床精神医学杂志2024,Vol.34Issue(5) :377-381.DOI:10.3969/j.issn.1005-3220.2024.05.010

癫痫患者并发注意缺陷多动障碍风险预警模型构建与验证

Construction and verification of risk early warning model for epilepsy patients complicated with attention deficit hyperactivity disorder

周芬 姚秋女 吕江琴
临床精神医学杂志2024,Vol.34Issue(5) :377-381.DOI:10.3969/j.issn.1005-3220.2024.05.010

癫痫患者并发注意缺陷多动障碍风险预警模型构建与验证

Construction and verification of risk early warning model for epilepsy patients complicated with attention deficit hyperactivity disorder

周芬 1姚秋女 1吕江琴1
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作者信息

  • 1. 312000 浙江省绍兴市第七人民医院
  • 折叠

摘要

目的:探讨癫痫患者并发注意缺陷多动障碍(attention deficit hyperactivity disorder,ADHD)的危险因素,建立风险预警模型并进行验证.方法:选取2020年1月至2023年5月绍兴市第七人民医院120例癫痫患者,根据患者是否并发ADHD分为ADHD组和无ADHD组,对相关的临床特征进行Logistic回归分析,构建风险预警模型.结果:本研究共有120例癫痫患者,有38例患者共患ADHD,并发率为31.67%.Logistic回归分析结果显示,症状性癫痫(OR=7.116)、多病灶放电(OR=11.386)、病程>10年(OR=10.130)、首次发病年龄≤5岁(OR=9.116)和MRI脑部异常(OR=4.837)和联合用药(OR=6.257)是癫痫患者并发ADHD的独立危险因素(P<0.05).模型回归方程Logit(P)=1.962 ×症状性+2.432 ×多病灶放电+2.316×病程(>10年)+2.210×首次发病年龄(≤5岁)+1.576 ×MRI脑部异常+1.834 ×联合用药-5.474.结论:癫痫患者并发ADHD受病症特征、发病年龄及家庭等因素影响,以此建立的风险预警模型具有较好的预测效能.

Abstract

Objective:To explore the risk factors of attention deficit hyperactivity disorder(ADHD)in patients with epilepsy,and to establish a risk warning model and verify it.Method:A total of 120 patients with epilepsy in Shaoxing Seventh People s Hospital from January 2020 to May 2023 were selected and divided into the ADHD group and the non-ADHD group according to whether the patients were complicated with ADHD.Logistic regression analysis was performed on the relevant clinical characteristics to construct a risk early warning model.Results:In this study,there were of 120 epilepsy patients,and 38 of them were complicated with ADHD,the complication rate was 31.67%.Logistic regression analysis showed that symptomatic epilepsy(OR=7.116),multifocal discharge(OR=11.386),course of disease>10 years(OR=10.130),age of first onset≤5 years(OR=9.116),MRI brain abnormalities(OR=4.837)and combined medication(OR=6.257)were independent risk factors for ADHD in patients with epilepsy.The model regression equation Logit(P)=1.962 × symptomatic+2.432 × multifocal discharge+2.316 × course of disease(>10 years)+2.210 × age of first onset(≤5 years)+1.576 × MRI brain abnormalities+1.834 × combined medication-5.474.Conclusion:Epilepsy patients with ADHD are affected by disease characteristics,age of onset,family and other factors.The risk early warning model established based on this has good predictive efficacy.

关键词

癫痫/注意缺陷多动障碍/危险因素/风险模型

Key words

epilepsy/attention deficit hyperactivity disorder/risk factors/risk model

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基金项目

绍兴市科技计划项目(2020A13049)

出版年

2024
临床精神医学杂志
南京医科大学附属脑科医院

临床精神医学杂志

CSTPCD
影响因子:1.108
ISSN:1005-3220
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