Construction and verification of risk early warning model for epilepsy patients complicated with attention deficit hyperactivity disorder
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.
epilepsyattention deficit hyperactivity disorderrisk factorsrisk model
万方数据
维普
