Use of GeriKit to Better Phenotype Older Adults With Ischemic Heart Disease

This study seeks to expand the use of the NYU GeriKit mobile application ("app") in a diverse range of settings to better phenotype older patients, which will enhance both research and patient care.

This is a single-center proof of concept study of geriatric impairments and feasibility metrics through the use of the GeriKit software application in older adults with ischemic heart disease at the NYU Langone Medical Center. The GeriKit mobile application was developed to make geriatric assessment instruments easily accessible to clinicians who do not have subspecialty training in geriatrics. The GeriKit app has been used clinically but is untested in research settings.

Participants will receive comprehensive geriatric assessment via GeriKit app at baseline. All participants will complete a follow-up assessment via phone at 6 months. 20 of the 150 enrolled participants will continue onto a qualitative questionnaire after the completion of the 6-month follow up call.

Digital health app used for comprehensive geriatric assessment (CGA). The app includes a series of brief, well-validated instruments: the MiniCog, 30-Second Chair Stand, Activities of Daily Living, Instrumental Activities of Daily Living, Patient Health Questionnaire (PHQ-9), Mini Nutrition Assessment, 2-Item Fall Screen, and Polypharmacy screen.

The SF-12 is a self-reported outcome measure assessing the impact of health on an individual's everyday life. It is often used as a quality-of-life measure. SF-12 consists of 12 questions that are scored in various ways. The total score range is 12-48; the higher the score, the higher the score, the better the physical and mental health functioning.

The SF-12 is a self-reported outcome measure assessing the impact of health on an individual's everyday life. It is often used as a quality-of-life measure. SF-12 consists of 12 questions that are scored in various ways. The total score range is 12-48; the higher the score, the higher the score, the better the physical and mental health functioning.

7-item questionnaire assessing functional status, angina and disease-specific health-related quality of life (HRQoL) over a four-week recall period. Responses generate a summary score ranging from 0-100, where 100 = full health, and 0 = worst health.

7-item questionnaire assessing functional status, angina and disease-specific health-related quality of life (HRQoL) over a four-week recall period. Responses generate a summary score ranging from 0-100, where 100 = full health, and 0 = worst health.

Inclusion Criteria: Age ≥ 75 Currently hospitalized for acute mycardial infarction (AMI), percutaneous coronary intervention (PCI), or coronary artery bypass grafting (CABG); or hospitalized for AMI, PCI, or CABG within the prior 4 weeks Capable of self-consent Understand and are able to perform study procedures in English Exclusion Criteria: Non-ambulatory Moderate or severe cognitive impairment (operationalized as known diagnosis of dementia) Unable or unwilling to consent Incarcerated Unable to use complete assessments in English Unable to complete geriatric assessment for other reasons

The de-identified participant data from the final research dataset used in the published manuscript will be shared upon reasonable request beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research provided the investigator who proposes to use the data executes a data use agreement with NYU Langone Health. Requests may be directed to: cdhlab@nyumc.org. The protocol and statistical analysis plan will be made available on Clinicaltrials.gov only as required by federal regulation or as a condition of awards and agreements supporting the research.

Beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research.

The investigator who proposed to use the data will be granted access upon reasonable request. Requests should be directed to cdhlab@nyumc.org. To gain access, data requestors will need to sign a data access agreement.