Development and Validation of a Prediction Model for Anxiety Improvement after Deep Brain Stimulation for Parkinson Disease
-
Published:2023-01-28
Issue:2
Volume:13
Page:219
-
ISSN:2076-3425
-
Container-title:Brain Sciences
-
language:en
-
Short-container-title:Brain Sciences
Author:
Chang Bowen12ORCID, Mei Jiaming12, Ni Chen12, Xiong Chi12, Chen Peng12, Jiang Manli12, Niu Chaoshi12
Affiliation:
1. Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China 2. Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei 230001, China
Abstract
Background: Parkinson’s disease (PD) represents one of the most frequently seen neurodegenerative disorders, while anxiety accounts for its non-motor symptom (NMS), and it has greatly affected the life quality of PD cases. Bilateral subthalamic nucleus deep brain stimulation (STN-DBS) can effectively treat PD. This study aimed to develop a clinical prediction model for the anxiety improvement rate achieved in PD patients receiving STN-DBS. Methods: The present work retrospectively enrolled 103 PD cases undergoing STN-DBS. Patients were followed up for 1 year after surgery to analyze the improvement in HAMA scores. Univariate and multivariate logistic regression were conducted to select factors affecting the Hamilton Anxiety Scale (HAMA) improvement. A nomogram was established to predict the likelihood of achieving anxiety improvement. Receiver operating characteristic (ROC) curve analysis, decision curve analysis (DCA), and calibration curve analysis were conducted to verify nomogram performance. Results: The mean improvement in HAMA score was 23.9% in 103 patients; among them, 68.9% had improved anxiety, 25.2% had worsened (Preop) anxiety, and 5.8% had no significant change in anxiety. Education years, UPDRS-III preoperative score, and HAMA preoperative score were independent risk factors for anxiety improvement. The nomogram-predicted values were consistent with real probabilities. Conclusions: Collectively, a nomogram is built in the present work for predicting anxiety improvement probability in PD patients 1 year after STN-DBS. The model is valuable for determining expected anxiety improvement in PD patients undergoing STN-DBS.
Funder
Special Fund Project for Guiding Local Science and Technology Development by the Central Government Doctoral Research Fund of the First Affiliated Hospital of USTC
Subject
General Neuroscience
Reference23 articles.
1. Parkinson’s disease: Clinical features and diagnosis;Jankovic;J. Neurol. Neurosurg. Psychiatry,2008 2. Chang, B., Ni, C., Mei, J., Xiong, C., Chen, P., Jiang, M., and Niu, C. (2022). Nomogram for Predicting Depression Improvement after Deep Brain Stimulation for Parkinson’s Disease. Brain Sci., 12. 3. Chang, B., Ni, C., Zhang, W., Mei, J., Xiong, C., Chen, P., Jiang, M., and Niu, C. (2022). Nomogram to Predict Cognitive State Improvement after Deep Brain Stimulation for Parkinson’s Disease. Brain Sci., 12. 4. Depression and Anxiety in Parkinson Disease;Ray;Clin. Geriatr. Med.,2020 5. Depression, anxiety, and apathy in Parkinson’s disease: Insights from neuroimaging studies;Wen;Eur. J. Neurol.,2016
|
|