- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06011681
The Rapid Diagnosis of MCI and Depression in Patients Ages 60 and Over
January 18, 2024 updated by: Miro Health
The Proactive Screening and Diagnosis of Mild Cognitive Impairment and Depression in Patients Ages 60 and Over: An Implementation Study
Mild cognitive impairment (MCI) leading to Alzheimer's disease and related disorders (ADRD) represents a significant health and economic burden of the rapidly expanding senior population.
The accurate detection and diagnosis of MCI and its common comorbidity, late-life depression (LLD), is essential for prolonging patient quality of life and developing advancements in research and treatment options.
The purpose of the proposed program is to refine Miro Health's A.I. to accurately detect, differentiate and diagnose MCI and LLD.
Study Overview
Status
Recruiting
Conditions
Study Type
Observational
Enrollment (Estimated)
960
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: J o e l M e f f o r d, PHD
- Phone Number: 5 1 0 - 2 9 2 - 8 0 1 7
- Email: j o e l @ m i r o h e a l t h . c o m
Study Contact Backup
- Name: Shenly Glenn
- Phone Number: 415-300-0533
- Email: shenly@mirohealth.com
Study Locations
-
-
California
-
Sacramento, California, United States, 95816
- Recruiting
- Miro Health
-
Contact:
- Shenly Glenn
-
-
Florida
-
Miami, Florida, United States, 33070
- Recruiting
- Miro Health
-
Contact:
- Shenly Glenn
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
The study population will include healthy, worried well, depressed, and mild cognitively impaired seniors from multiple, disparate U.S. geographic regions.
Description
Inclusion Criteria:
- LLD: Age 60 or over; diagnosis of LLD or symptoms consonant with LLD; PHQ-9 score from 15 to 27
- MCI: Age 60 or over; diagnosis of MCI or self-reported insidious onset and continued worsening of cognitive decline; intact activities of daily living
- HC: Age 60 or over
Exclusion Criteria:
- Age 59 or younger; history of unresolved neurological or psychiatric conditions; current medications known to affect cognition; history of substance abuse; unable to perform activities of daily living; change in employment status due to condition
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
---|
Depression
Seniors diagnosed with late life depression or with a concern of late life depression.
|
Mild cognitive impairment
Seniors with self-reported decline in cognitive function or with a diagnosis of mild cognitive impairment.
|
Healthy controls
Seniors with no neurological or psychiatric symptoms or conditions.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Measure usability of Miro Health assessments (iOS and Android) for patients
Time Frame: Year 1, Q3 - Year 2, Q2
|
Measure the (a) time point 1 in-assessment drop-out rate; and (b) the rate of lost-to-time-point-2-followup at 12 months.
|
Year 1, Q3 - Year 2, Q2
|
Measure acceptability of Miro Health assessments (iOS and Android) for patients
Time Frame: Year 1, Q3 - Year 2, Q2
|
Measure the participant preference for pencil-paper test or Miro Health Mobile Assessment
|
Year 1, Q3 - Year 2, Q2
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Measure domain score correlations of pencil-paper tests and Miro Health Mobile Assessment
Time Frame: Year 1, Q1 - Year 2, Q2
|
Pairwise correlations greater than 0.8 and statistically significantly greater than 0.7 will be considered successful.
|
Year 1, Q1 - Year 2, Q2
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Measure relevance of algorithms in separating depressed, MCI, and healthy control groups
Time Frame: Year 1, Q1 - Year 2, Q2
|
Measure AUROC for: MCI vs healthy control; MCI vs aMCI; MCI vs depression; aMCI vs healthy control; aMCI vs depression; depression vs healthy control; and MCI + depression vs healthy control.
AUROC equal to or greater than 0.84 is considered successful.
|
Year 1, Q1 - Year 2, Q2
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Shenly Glenn, BS, Miro Health
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
September 8, 2023
Primary Completion (Estimated)
November 30, 2024
Study Completion (Estimated)
December 31, 2024
Study Registration Dates
First Submitted
August 23, 2022
First Submitted That Met QC Criteria
August 23, 2023
First Posted (Actual)
August 25, 2023
Study Record Updates
Last Update Posted (Actual)
January 22, 2024
Last Update Submitted That Met QC Criteria
January 18, 2024
Last Verified
January 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- MH202206MCILLD
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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