UF Health
Gainesville, Florida, 32610, United States
NCT Number: NCT03175302
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.
This study is active but is not currently recruiting participants.
Notify Me65 year and older
All sexes
Observational
Gainesville, Florida, 32610, United States
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups
Time frame: up to one year
Measure range of digital outcome differences
Time frame: up to 1 year
Digital tools will predict clinician reported events
Time frame: up to 6-weeks
Surgery group and control group differences from baseline to 6-weeks
Time frame: up to 3-months
Surgery group and control group differences from baseline to 3-months
Time frame: up to one year
Surgery group and control group differences from baseline to one year
University of Florida
Other
Acronym: PRECEDE
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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