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Nomogram for Predicting Depression Improvement after Deep Brain Stimulation for Parkinson's Disease.

Authors :
Chang, Bowen
Ni, Chen
Mei, Jiaming
Xiong, Chi
Chen, Peng
Jiang, Manli
Niu, Chaoshi
Source :
Brain Sciences (2076-3425). Jul2022, Vol. 12 Issue 7, pN.PAG-N.PAG. 10p.
Publication Year :
2022

Abstract

Background: Parkinson's disease is a common neurodegenerative disease, with depression being a common non-motor symptom. Bilateral subthalamic nucleus deep brain stimulation is an effective method for the treatment of Parkinson's disease. Thus, this study aimed to establish a nomogram of the possibility of achieving a better depression improvement rate after subthalamic nucleus deep brain stimulation in patients with Parkinson's disease. Methods: We retrospectively analyzed 103 patients with Parkinson's disease who underwent subthalamic nucleus deep brain stimulation and were followed up for the improvement of their Hamilton Depression scale scores 1 year postoperatively. Univariate and multivariate logistic regression analyses were used to select factors affecting the improvement rate of depression. A nomogram was then developed to predict the possibility of achieving better depression improvement. Furthermore, the discrimination and fitting performance was evaluated using a calibration diagram, receiver operating characteristics, and decision curve analysis. Results: The mean and median improvement rates of Hamilton Depression scores were 13.1 and 33.3%, respectively. Among the 103 patients, 70.8% had an improved depression, 23.3% had a worsened depression, and 5.8% remained unchanged. Logistic multivariate regression analysis showed that age, preoperative Parkinson's Disease Questionnaire, Hamilton Anxiety, and Hamilton Depression scores were independent factors for the possibility of achieving a better depression improvement rate. Based on these results, a nomogram model was developed. The nomogram had a C-index of 0.78 (95% confidence interval: 0.69–0.87) and an area under the receiver operating characteristics of 0.78 (95% confidence interval: 0.69–0.87). The calibration plot and decision curve analysis further demonstrated goodness-of-fit between the nomogram predictions and actual observations. Conclusion: We developed a nomogram to predict the possibility of achieving good depression improvement 1 year after subthalamic nucleus deep brain stimulation in patients with Parkinson's disease, which showed a certain value in judging the expected depression improvement of these patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763425
Volume :
12
Issue :
7
Database :
Academic Search Index
Journal :
Brain Sciences (2076-3425)
Publication Type :
Academic Journal
Accession number :
158211423
Full Text :
https://doi.org/10.3390/brainsci12070841