FocusOn Neurology
  • Biozone
  • Multiple Sclerosis
  • Migraine Research Library
  • LGS & Dravet Syndrome
  • Tardive Dyskinesia
  • Myasthenia Gravis
  • Neurofibromatosis
  • hATTR-PN
  • MDA 2024
  • CIDP Awareness Month
  • Alzheimer's Awareness Month
  • Anticoagulation Reversal Knowledge & Learning Center
  • PNS 2024 Annual Meeting Highlights
  • Parkinson's Disease
  • Biozone
  • Multiple Sclerosis
  • Migraine Research Library
  • LGS & Dravet Syndrome
  • Tardive Dyskinesia
  • hATTR-PN
  • CIDP Awareness Month
  • Alzheimer's Awareness Month
  • Anticoagulation Reversal Knowledge & Learning Center
  • PNS 2024 Annual Meeting Highlights

Advanced Search

Advanced Search

  • Featured:
  • Myasthenia Gravis
  • Neurofibromatosis
  • MDA 2024
  • Parkinson's Disease
 

Predicting Sleep Quality Improvement in Parkinson’s Disease Patients Post-DBS: A Nomogram Approach

April 2025 | Neurosurgery

Share:
Parkinson's Disease Resource Center Home Page

Read Full Article

Abstract

Introduction:

Sleep disorder is a common concomitant symptom of Parkinson's disease (PD).

Methods:

We retrospectively analyzed the medical records and questionnaire responses of 468 patients with PD who received DBS of the subthalamic nucleus (STN) between 2017 and 2020. These patients were categorized into two groups based on whether their PD Sleep Disorder Scale (PDSS) scores showed improvement three years post-surgery: the improved group and the non-improved group. To identify factors that influence sleep disorder improvement, we conducted both univariate and multivariate regression analyses. Subsequently, we developed a nomogram to predict the likelihood of sleep disturbance improvement. We assessed the nomogram's accuracy and predictive performance through calibration plots, Receiver Operating Characteristic (ROC) curves, and Decision Curve Analysis (DCA).

Results:

Patients who experienced improvement in sleep disorders following surgery showed better preoperative responses to medication, higher Mini-Mental State Examination (MMSE) scores, and lower Hamilton Anxiety Scale (HAMA) scores, despite having poorer PDSS scores compared to those without post-surgical sleep disorder improvement. Further analysis using univariate and multivariate regression identified preoperative medication responsiveness, MMSE, HAMA, and PDSS score as independent predictors of postoperative PDSS score improvement in PD patients. Utilizing these findings, we developed a nomogram model, which demonstrated a strong predictive accuracy with an area under the ROC curve of 0.78 (95% CI: 0.69–0.88). Calibration plots and decision curve analysis confirmed the nomogram's excellent alignment between predicted outcomes and actual observations.

Conclusions:

A nomogram was developed to forecast the likelihood of sleep disorder improvement in PD patients three years following DBS of the STN. This tool may hold significant value in prognosticating sleep quality in PD patients after DBS.

Share

Modal body text goes here.

FocusOn logo
  • Articles
  • Multimedia
  • Blog
  • Resources
  • About FocusOn
  • Privacy Policy
  • Terms of Use

© 2025 Wolters Kluwer. All right reserved.

Your Privacy

To give you the best possible experience we use cookies and similar technologies. We use data collected through these technologies for various purposes, including to enhance website functionality, remember your preferences, show the most relevant content, and show the most useful ads. You can select your preferences by clicking the link. For more information, please review our Privacy and Cookie Policy.

|
|

Cookie Policy

Information about our use of cookies

Wolters Kluwer ("we" or "us") wants to inform you about the ways we process your personal information. In this Privacy & Cookie Notice we explain what personal information we collect, use and disclose.

Personal information means any data relating to an individual who can be identified, directly or indirectly, based on that information. This may include information such as names, contact details, (online) identification data, online identifiers, or other characteristics specific to that individual.

Read More