Integrating eSAGE With EHR Data Using Machine Learning for the Early Detection and Monitoring of Cognitive Impairment in Individuals

Alzheimer Disease Clinical Trial

Official title:

Integrating the Electronic Self-administered Gerocognitive Examination (eSAGE) With Electronic Health Records (EHR) Data Using Machine Learning (ML) for the Early Detection and Monitoring of Cognitive Impairment in Individuals

Clinical Trial Details — Status: Enrolling by invitation

Administrative data

• NCT number: NCT06017505
• Other study ID #: 2023H0249
• Status: Enrolling by invitation
• Start date: June 1, 2024
• Est. completion date: September 2025

Study information

• Verified date: March 2024
• Source: Ohio State University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The goal of this observational trial is to leverage the electronic Self-Administered Gerocognitive Examination (eSAGE), a variety of metadata (a set of data that describes and gives information about other data) collected during eSAGE testing, electronic health records (EHR) information, and advanced machine learning (ML) techniques to develop a new tool that can aid in early-stage prediction of individuals with cognitive impairments.

Description:

This is a retrospective and prospective record review trial for patients who are followed at the Center for Cognitive and Memory Disorders. eSAGE assessment data (including cognitive data, behavioral data, timing data and other metadata) as well as varying amount of electronic health records (EHR) data will be collected on all eligible subjects. Machine learning techniques with feature selection will identify important EHR variables to determine what may be useful for the prediction of cognitive impairment. Based on the EHR analysis additional questions will be added to the eSAGE to make an enhanced eSAGE version (eSAGE+). The goal of the eSAGE+ is to facilitate the identification of cognition impairment, and ultimately have a translational impact on Alzheimer's disease (AD) identification and management.

Recruitment information / eligibility

• Status: Enrolling by invitation
• Enrollment: 1486
• Est. completion date: September 2025
• Est. primary completion date: September 2025
• Accepts healthy volunteers: No
• Gender: All
• Age group: 50 Years and older

Eligibility

Inclusion Criteria:

• 1. Males and females 50 years of age and over who complete the eSAGE as part of their office visit at the Center for Cognitive and Memory Disorders.

Exclusion Criteria:

• None

Related Conditions & MeSH terms

• Alzheimer Disease
• Cognitive Dysfunction
• Dementia
• Mild Cognitive Impairment

Intervention

Diagnostic Test:
• electronic self administered gerocognitive examination (eSAGE)
A self-administered digital assessment that evaluates multiple cognitive domains: orientation, language, memory, executive function, calculations, abstraction, and visuospatial abilities, through multiple questions. Additionally, it includes the collection of six clinical variables: education, gender, race, family history of dementia, stroke, and emotion.

Locations

Country	Name	City	State
United States	Nicole Vrettos	Columbus	Ohio

Sponsors (1)

Lead Sponsor	Collaborator
Douglas Scharre

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Area Under the Curve (AUC) for the ROC analysis in predicting subjects with cognitive impairment from cognitively normal subjects.	AUC ranges in value from 0 to 1	1 day visit