Measuring Pain in Patients with Cognitive Deterioration Using EEG
Exploring Objective Pain Assessment in Individuals With Cognitive Deterioration: Electroencephalographic Markers and Machine Learning Analysis
This study is testing a new way to measure pain in older adults with cognitive issues using brain wave technology to help doctors better manage their pain after surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 30 (estimated) |
| Ages | 70 Years to 100 Years |
| Sex | All |
| Sponsor | Azienda USL Toscana Nord Ovest Academic / other |
| Locations | 1 site (Volterra, Pisa) |
| Trial ID | NCT06256666 on ClinicalTrials.gov |
What this trial studies
This research focuses on improving pain assessment in individuals with cognitive deterioration (CD), a common issue in aging and neurological conditions. The study utilizes electroencephalography (EEG) and machine learning to objectively measure pain, addressing the challenges faced by patients who cannot self-report their pain accurately. By employing a BIS device, the research aims to identify specific EEG markers associated with pain and compare these findings with an objective pain assessment scale. The study is particularly relevant for patients in surgical departments, where accurate pain management is crucial.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals exhibiting at least moderate cognitive impairment.
Not a fit: Patients who are unable to provide consent will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate pain assessment and management for patients with cognitive deterioration.
How similar studies have performed: Other studies have explored similar approaches, but this specific application of EEG for pain assessment in CD patients is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Subjects exhibiting at least moderate cognitive impairment as assessed by the Pfeiffer scale. Exclusion Criteria: * lack of consent
Where this trial is running
Volterra, Pisa
- Santa maria maddalena Hospital — Volterra, Pisa, Italy (Recruiting)
Study contacts
- Principal investigator: Alessandro Tani, MD — Azienda USL Toscana Nord Ovest
- Study coordinator: Alessandro Tani, MD
- Email: alessandro.tani113@gmail.com
- Phone: 3491384674
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.