Trials / Recruiting
RecruitingNCT03175302
PREsurgical Cognitive Evaluation Via Digital clockfacEdrawing
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 25,240 (estimated)
- Sponsor
- University of Florida · Academic / Other
- Sex
- All
- Age
- 65 Years
- Healthy volunteers
- Not accepted
Summary
This study leverages a modernized digital version of a well-known cognitive screening tool to examine pre and post operative cognitive function after surgery in adults age 65 years or more. Machine learning algorithms will be applied to the hospital wide standard of care cognitive metric to identify risk for post-operative cognitive complications.
Detailed description
This proposal innovatively leverages a brief but informative digital test with machine learning to examine the subtlety of pre-surgery cognition within an extremely large number of older individuals screened preoperatively within an academic tertiary medical center. It also incorporates a unique group of well characterized non-surgery peers for demographic matching to assist with normal versus abnormal machine learning analyses.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| BEHAVIORAL | digital cognitive testing | The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups |
Timeline
- Start date
- 2018-06-28
- Primary completion
- 2027-05-31
- Completion
- 2027-05-31
- First posted
- 2017-06-05
- Last updated
- 2025-07-31
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT03175302. Inclusion in this directory is not an endorsement.