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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT03175302
Other study ID # IRB201700747-N
Secondary ID R01AG055337OCR18
Status Recruiting
Phase
First received
Last updated
Start date June 28, 2018
Est. completion date May 31, 2024

Study information

Verified date January 2024
Source University of Florida
Contact Catherine Price, Ph.D.
Phone 352-494-6999
Email cep23@phhp.ufl.edu
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


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.


Recruitment information / eligibility

Status Recruiting
Enrollment 25240
Est. completion date May 31, 2024
Est. primary completion date May 31, 2024
Accepts healthy volunteers No
Gender All
Age group 65 Years and older
Eligibility Inclusion Criteria: - >/= 65 years of age - screening within the University of Florida (UF) Health Preoperative clinic - presurgical cognitive screening with the digital Clock Drawing Tool (dCDT) Exclusion Criteria: - < 65 years of age - did not complete screening within the UF Health Preoperative clinic - did not complete the presurgical cognitive screening with the digital Clock Drawing Tool (dCDT)

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
digital cognitive testing
The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups

Locations

Country Name City State
United States UF Health Gainesville Florida

Sponsors (3)

Lead Sponsor Collaborator
University of Florida National Center for Advancing Translational Sciences (NCATS), National Institute on Aging (NIA)

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary Control and pre-surgery differences between digital behaviors Measure range of digital outcome differences up to one year
Secondary Predictive validity of digital behaviors on outcome Digital tools will predict clinician reported events up to 1 year
Secondary Change over time in digital behavior between groups Surgery group and control group differences from baseline to 6-weeks up to 6-weeks
Secondary Change over time in digital behavior between groups Surgery group and control group differences from baseline to 3-months up to 3-months
Secondary Change over time in digital behavior between groups Surgery group and control group differences from baseline to one year up to one year
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