NCT06256666

Brief Summary

This research addresses the challenge of pain assessment in individuals with cognitive deterioration (CD), a common aspect of aging and various neurological conditions. Due to difficulties in self-reporting, especially in severe cases, accurate pain diagnosis and management are hindered. The study explores the use of electroencephalography (EEG) and machine learning techniques to objectively measure pain in CD patients. Utilizing a BIS device, the research aims to identify EEG markers associated with pain, comparing them with an objective PANAID scale. The study targets patients in surgical departments, providing valuable insights into enhancing pain assessment for those unable to express pain through traditional subjective scales.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Sep 2024

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 3, 2024

Completed
10 days until next milestone

First Posted

Study publicly available on registry

February 13, 2024

Completed
7 months until next milestone

Study Start

First participant enrolled

September 16, 2024

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

June 8, 2025

Completed
Last Updated

September 30, 2025

Status Verified

September 1, 2024

Enrollment Period

8 months

First QC Date

February 3, 2024

Last Update Submit

September 29, 2025

Conditions

Keywords

Cognitive deteriorationPain assessmentQuantitative electroencephalography

Outcome Measures

Primary Outcomes (1)

  • Utilization of the BIS device for the objective quantification of pain levels in patients with cognitive deterioration.

    The outlined study aims to investigate and address the challenges associated with pain assessment in individuals with cognitive deterioration (CD), particularly focusing on hospidalized subjects admitted to general surgery, and orthopedics . The primary objective is to employ a commonly used BIS device in hospitals for the objective measurement of pain levels in these patients.

    20 minutes

Secondary Outcomes (1)

  • Correlation between the identified electroencephalographic markers and a specific behavioral indicators of pain

    20 minutes

Interventions

Pain assessment will be conducted before and in the postoperative period using the objective PANAID scale and, when possible, the NRS. Simultaneously, EEG recordings using the BIS (Bispectral Index) will be performed. Cognitive status will be assessed before surgery using the Pfeiffer scale

Eligibility Criteria

Age70 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsOlder Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients admitted to general surgery and orthopedics, departments at Volterra Hospital with cognitive deterioration, undergoing major surgery.

You may qualify if:

  • Subjects exhibiting at least moderate cognitive impairment as assessed by the Pfeiffer scale.

You may not qualify if:

  • lack of consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Santa maria maddalena Hospital

Volterra, Pisa, 56048, Italy

Location

Related Publications (1)

  • Kimura A, Mitsukura Y, Oya A, Matsumoto M, Nakamura M, Kanaji A, Miyamoto T. Objective characterization of hip pain levels during walking by combining quantitative electroencephalography with machine learning. Sci Rep. 2021 Feb 4;11(1):3192. doi: 10.1038/s41598-021-82696-1.

    PMID: 33542388BACKGROUND

Study Officials

  • Alessandro Tani, MD

    Azienda USL Toscana Nord Ovest

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal investigator

Study Record Dates

First Submitted

February 3, 2024

First Posted

February 13, 2024

Study Start

September 16, 2024

Primary Completion

May 1, 2025

Study Completion

June 8, 2025

Last Updated

September 30, 2025

Record last verified: 2024-09

Data Sharing

IPD Sharing
Will not share

Locations