Use of Device Data to Predict Frailty in Individuals (FRAILCIED)

October 30, 2019 updated by: University of Colorado, Denver

Use of Device Data to Predict Frailty in Individuals With Cardiovascular Implantable Electrical Devices: Pilot Study

This is an investigation to examine the correlation and predictive ability of activity measures obtained from cardiovascular implantable electrical devices.

Study Overview

Status

Completed

Detailed Description

Technology is providing new opportunities to gain insight into patient health in a manner far superior to what can be obtained from routine office visits. For geriatric patients, frailty is one such measure, which has been shown to have a negative correlation with outcomes, including hospitalizations, complications following invasive procedures, and overall mortality. Methods to quantify frailty have been highly limited and somewhat controversial, largely because of their cross-sectional nature. Efforts to obtain longitudinal measures of frailty using activity monitors and other wearable devices have been promising, although they are limited by patient cooperation and cost.

In addition to their therapeutic functions, cardiovascular implantable electrical devices (CIEDs) collect large amounts of data on individuals in whom they are implanted, which can be accessed during office visits as well as remotely. Importantly, the data is obtained passively and routinely from all patients, requiring little to no additional effort or expense. The possibility that activity measures from CIEDs could be used to evaluate frailty, as well as other outcomes, would provide a powerful tool for clinicians to apply data science directly to patients.

This pilot investigation will assess the feasibility of using CIED-derived activity data to predict frailty, and other outcomes, in older populations. The investigators plan to enroll subjects in whom CIEDs are implanted from the University of Colorado Hospital Device clinic, and analyze their data to assess the correlation of daily activity with frailty measures, as well as with cardiac and clinical outcomes.

Study Type

Observational

Enrollment (Actual)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Colorado
      • Aurora, Colorado, United States, 80045
        • University of Colorado, Denver

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

65 years and older (Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The investigators plan to enroll all individuals followed in the UCH device clinic, in whom CIED data is available for analysis who are over age 65, and willing and able to provide informed consent. We will not a priori exclude individuals unable to take part in the walk-time, survey/questionnaire assessment, or mini-Cog assessment, although these individuals may be excluded during analysis.

Description

Inclusion Criteria:

  • Individuals followed in the UCH device clinic
  • Individuals with CIED implanted
  • Age over 65

Exclusion Criteria:

  • Unable/unwilling to provide informed consent

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

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Frail individuals (case)
Individuals classified as frail based on several clinical metrics
Non-frail individuals
Individuals failing to meet criteria for frailty based on clinical metrics

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Changes in Daily Activity as measured with a Cardiovascular Implantable Electrical Device (CIED)
Time Frame: 30 - 180 days
Daily activity adjudicated by CIED algorithm
30 - 180 days
Presence of Cardiac arrhythmias
Time Frame: From study onset until 2 years
Any atrial or ventricular arrhythmia
From study onset until 2 years
Hospitalizations and Mortality
Time Frame: From study onset until 2 years
Any hospitalization or death
From study onset until 2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Michael Rosenberg, MD, University of Colorado, Denver

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 7, 2017

Primary Completion (Actual)

March 1, 2018

Study Completion (Actual)

March 1, 2018

Study Registration Dates

First Submitted

March 6, 2017

First Submitted That Met QC Criteria

March 13, 2017

First Posted (Actual)

March 14, 2017

Study Record Updates

Last Update Posted (Actual)

November 1, 2019

Last Update Submitted That Met QC Criteria

October 30, 2019

Last Verified

October 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • 16-2587

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

IPD Plan Description

Plan for initial analysis; sharing if appropriate de-identification is determined possible by IRB and co-investigators

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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