PREsurgical Cognitive Evaluation Via Digital clockfacEdrawing

Study Overview
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Brief Summary
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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
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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.

Official Title
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PREsurgical Cognitive Evaluation Via Digital clockfacEdrawing

Conditions
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Cognitive Dysfunction

Intervention / Treatment
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* Behavioral: digital cognitive testing


Participation Criteria
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Eligibility Criteria
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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)

Ages Eligible for Study
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Minimum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Surgical group<br>Baseline preoperative digital cognitive testing performance in adults to predict frequency and severity of clinician reported outcomes within the first three months post-surgery. | Behavioral: digital cognitive testing<br>* The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups<br>|
| Control<br>Non-surgery matched peers with the same testing. | Behavioral: digital cognitive testing<br>* The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Control and pre-surgery differences between digital behaviors | Measure range of digital outcome differences | up to one year | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Predictive validity of digital behaviors on outcome | Digital tools will predict clinician reported events | up to 1 year | 
| Change over time in digital behavior between groups | Surgery group and control group differences from baseline to 6-weeks | up to 6-weeks | 
| Change over time in digital behavior between groups | Surgery group and control group differences from baseline to 3-months | up to 3-months | 
| Change over time in digital behavior between groups | Surgery group and control group differences from baseline to one year | up to one year | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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cognitive processes, perioperative cognition, neurocognitive impairment