search
Back to results

Remote Monitoring of Multiple Indicators of Heart Failure

Primary Purpose

Heart Failure

Status
Enrolling by invitation
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Myia Health® remote patient monitoring unblinded treatment arm
Sponsored by
Washington University School of Medicine
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional supportive care trial for Heart Failure focused on measuring NYHA II-IV, Reduced Ejection Fraction, Cardiology

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  1. Outpatients cared for by BJH Advanced Heart Failure Clinic, where BJH is their primary cardiology care team
  2. Age ≥ 18 years old at time of consent
  3. HFrEF diagnosis in the BJH Advanced Heart Failure Clinic medical record
  4. Has had an ER presentation or hospitalization related to their heart failure in last 12 months prior to enrollment
  5. Most recent recorded Left Ventricular Ejection Fraction (LVEF) of < 50% and at least 1 recorded LVEF of < 40%
  6. Scheduled clinic visit 90- 180 days after study enrollment.
  7. NYHA Class II-IV
  8. Sleeps in the same bed at ≥ 4 days per week
  9. Able to ambulate
  10. Willingness to complete the required surveys, measurements and study activities

Exclusion Criteria:

  1. Current ventricular assist device or cardiac transplant.
  2. Currently listed for cardiac transplantation
  3. End-Stage Renal Disease on chronic dialysis
  4. Malignancy diagnosis undergoing active treatment
  5. Hospice or palliative care
  6. Living in a skilled nursing facility or other chronic care facility (ambulatory patients only)
  7. Self-reported pregnancy or planned pregnancy in the next 6 months
  8. Inability or unwillingness to consent and/or follow requirements of the study
  9. Planned major surgeries or procedures requiring hospitalization in next 6 months
  10. Use of Lifevest or other worn device that may affect ballistocardiogram measurements
  11. Patient weight > 385 lbs at time of enrollment
  12. Life expectancy <1 year

Sites / Locations

  • Washington University School of Medicine

Arms of the Study

Arm 1

Arm Type

Other

Arm Label

Remote patient monitoring

Arm Description

After consenting to the study, the Myia in-home suite of devices, and mobile phone application if the patient owns a smart phone, will be provided to all recruited patients. The data flowing from the Myia platform will be available to clinicians and patients for the duration of the pilot and utilized to complete study activities. Patients enrolled will transmit daily vital sign data to the Myia Health remote patient monitoring platforms for clinical review. Enrolled patients will complete medication change/compliance survey monthly to assess for medication changes. Enrolled patients will complete symptomatic assessments (KCCQ-12) at 0, 3, and 6 months. Enrolled patients will complete a Check-In survey to assess utility and usability of the intervention at the 2, 4, and 6 month timepoints

Outcomes

Primary Outcome Measures

Myia Platform feasibility: questionnaire
Patient perception of the Myia Platform will be assessed during the study using a structured questionnaire, delivered either electronically or by paper to patients by research staff. Patient Platform satisfaction/usability/utility questionnaire: The formal title of the questionnaire is 'Check In Survey' and it consists of 17 questions with scaled options, 1-7 (1=most positive, 7=most negative) and it is administered at 3 time points. The lower the overall total the more positive the patient rating of the Myia Platform.

Secondary Outcome Measures

Persistence of minimally useful data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Acquisition of minimally useful data profile: Weeks where minimally useful data profile collected/total number of weeks. This endpoint will be defined retrospectively by the clinical team.
Persistence of daily data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Acquisition of any data point daily: Days with >1 data point collected/total number of days
Persistence of weekly data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Acquisition of any data point weekly: Weeks with >1 data point collected/total number of weeks
Persistence of vital sign data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Acquisition of continuous vital sign data variables daily: Days with >1 data point collected/total number of days
Persistence of greater than 1 data point per week data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Acquisition of continuous data variables weekly: Weeks with >1 data point collected/total number of weeks
Medication management: total number of medication changes
Absolute count of heart failure medication changes per patient. This metric will be calculated on a per patient level. Any change in dose or frequency of medication will be considered a medication change.
Medication management: length of time to medication change
Mean time to heart failure medication change per patient. Average time interval between a change to 1 or more heart failure drugs between the baseline and 6 month time points.
Medication management: target dose
Distance from target dose of heart failure medication (< 50% target dose, 50%-75% of target dose, 75%-100% of target dose) The baseline use and dose of the following heart failure medication categories will be examined for each patient at baseline: Beta Blockers Digoxin ACE, ARB, ARNIs Hydralazine Nitrates Loop Diuretics Aldosterone Antagonists For each medication class, the presence and absence of absolute contraindications will be determined based on documentation in the medical record or as ascertained by study investigators. For each patient and each medication, available dose information will be reviewed in reference to recommended target doses by clinical practice guidelines. Distance to target dose will be assessed at baseline and follow-up. The difference in the relative proportion of people in the target dose categories will be compared between treatment and usual care groups.

Full Information

First Posted
February 5, 2020
Last Updated
April 24, 2023
Sponsor
Washington University School of Medicine
Collaborators
Healthcare Innovation Lab, MYIA Labs, Inc.
search

1. Study Identification

Unique Protocol Identification Number
NCT04267744
Brief Title
Remote Monitoring of Multiple Indicators of Heart Failure
Official Title
Usability and Utility Assessment of Passive Remote Monitoring of Multiple Novel Indicators of Heart Failure
Study Type
Interventional

2. Study Status

Record Verification Date
April 2023
Overall Recruitment Status
Enrolling by invitation
Study Start Date
February 11, 2020 (Actual)
Primary Completion Date
December 31, 2023 (Anticipated)
Study Completion Date
March 1, 2024 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Washington University School of Medicine
Collaborators
Healthcare Innovation Lab, MYIA Labs, Inc.

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
This study is intended to evaluate the impact of passive continuous remote patient monitoring to assist in the outpatient management of heart failure (HF) patients.
Detailed Description
The study will prospectively evaluate the usability, utility, and efficacy of remote monitoring using novel noninvasive technologies in HF patients in an outpatient setting. Investigators will gather dynamic, longitudinal data from multiple sensors, in addition to patient-reported and physician-reported data. Both the patient interface through interactions with the sensors and mobile application, and the clinician interface through the monitoring portal, will be evaluated for usability, utility and efficacy. Patients will be recruited for the study from the Barnes Jewish Hospital Advanced Heart Failure Clinic. Eligible individuals will receive onboarding instructions and a study schedule detailing the required surveys and clinical activities they will be asked to complete over a period of 7 months. In addition to onboarding instructions and a study schedule, individuals will have the kit of sensors shipped to their home. After the Myia Home Hub and Myia Sensor Suite are set up, data will begin to be transmitted. Following a run in period where data is collected and delivered but not acted upon by clinicians all eligible participants will move forward with 6 month interactive study monitoring. In addition to obtaining questionnaires and using the devices in the Myia kit, participants will also be asked to obtain their blood pressure and weight daily. During the course of the study, outpatient health status data for the group will be collected, summarized and delivered to clinicians in an electronic dashboard. The format and content of the data dashboard will be updated based on user feedback throughout the study. Required changes deemed appropriate by the healthcare team will be incorporated into the software platform alongside any standard updates.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Heart Failure
Keywords
NYHA II-IV, Reduced Ejection Fraction, Cardiology

7. Study Design

Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
Device: Myia Health platform and in-home suite of devices®
Masking
None (Open Label)
Allocation
N/A
Enrollment
199 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Remote patient monitoring
Arm Type
Other
Arm Description
After consenting to the study, the Myia in-home suite of devices, and mobile phone application if the patient owns a smart phone, will be provided to all recruited patients. The data flowing from the Myia platform will be available to clinicians and patients for the duration of the pilot and utilized to complete study activities. Patients enrolled will transmit daily vital sign data to the Myia Health remote patient monitoring platforms for clinical review. Enrolled patients will complete medication change/compliance survey monthly to assess for medication changes. Enrolled patients will complete symptomatic assessments (KCCQ-12) at 0, 3, and 6 months. Enrolled patients will complete a Check-In survey to assess utility and usability of the intervention at the 2, 4, and 6 month timepoints
Intervention Type
Other
Intervention Name(s)
Myia Health® remote patient monitoring unblinded treatment arm
Other Intervention Name(s)
Myia Health platform and in-home suite of devices®
Intervention Description
After consenting to the study, the Myia in-home suite of devices will be provided to all recruited patients. The data flowing from the Myia platform will be available to clinicians and patients for the duration of the pilot and utilized to complete study activities. Device: Myia Health platform and in-home suite of devices®: Emfit Ballistocardiograph® Withings Connected Scale® VitalScout (VivaLink) ECG Accelerometer® Omron Blood Pressure Monitor® (Sphygmomanometer) Cradlepoint - Hotspot / Adaptor® (LTE Connection) Samsung Galaxy Tab A 8.0"® (User Interface)
Primary Outcome Measure Information:
Title
Myia Platform feasibility: questionnaire
Description
Patient perception of the Myia Platform will be assessed during the study using a structured questionnaire, delivered either electronically or by paper to patients by research staff. Patient Platform satisfaction/usability/utility questionnaire: The formal title of the questionnaire is 'Check In Survey' and it consists of 17 questions with scaled options, 1-7 (1=most positive, 7=most negative) and it is administered at 3 time points. The lower the overall total the more positive the patient rating of the Myia Platform.
Time Frame
From baseline to 6 months (final)
Secondary Outcome Measure Information:
Title
Persistence of minimally useful data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Description
Acquisition of minimally useful data profile: Weeks where minimally useful data profile collected/total number of weeks. This endpoint will be defined retrospectively by the clinical team.
Time Frame
From baseline to 6 months time (final)
Title
Persistence of daily data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Description
Acquisition of any data point daily: Days with >1 data point collected/total number of days
Time Frame
From baseline to 6 months time (final)
Title
Persistence of weekly data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Description
Acquisition of any data point weekly: Weeks with >1 data point collected/total number of weeks
Time Frame
From baseline to 6 months time (final)
Title
Persistence of vital sign data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Description
Acquisition of continuous vital sign data variables daily: Days with >1 data point collected/total number of days
Time Frame
From baseline to 6 months time (final)
Title
Persistence of greater than 1 data point per week data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
Description
Acquisition of continuous data variables weekly: Weeks with >1 data point collected/total number of weeks
Time Frame
From baseline to 6 months time (final)
Title
Medication management: total number of medication changes
Description
Absolute count of heart failure medication changes per patient. This metric will be calculated on a per patient level. Any change in dose or frequency of medication will be considered a medication change.
Time Frame
From baseline to 6 months time (final)
Title
Medication management: length of time to medication change
Description
Mean time to heart failure medication change per patient. Average time interval between a change to 1 or more heart failure drugs between the baseline and 6 month time points.
Time Frame
From baseline to 6 months time (final)
Title
Medication management: target dose
Description
Distance from target dose of heart failure medication (< 50% target dose, 50%-75% of target dose, 75%-100% of target dose) The baseline use and dose of the following heart failure medication categories will be examined for each patient at baseline: Beta Blockers Digoxin ACE, ARB, ARNIs Hydralazine Nitrates Loop Diuretics Aldosterone Antagonists For each medication class, the presence and absence of absolute contraindications will be determined based on documentation in the medical record or as ascertained by study investigators. For each patient and each medication, available dose information will be reviewed in reference to recommended target doses by clinical practice guidelines. Distance to target dose will be assessed at baseline and follow-up. The difference in the relative proportion of people in the target dose categories will be compared between treatment and usual care groups.
Time Frame
From baseline to 6 months time (final)

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Outpatients cared for by BJH Advanced Heart Failure Clinic, where BJH is their primary cardiology care team Age ≥ 18 years old at time of consent HFrEF diagnosis in the BJH Advanced Heart Failure Clinic medical record Has had an ER presentation or hospitalization related to their heart failure in last 12 months prior to enrollment Most recent recorded Left Ventricular Ejection Fraction (LVEF) of < 50% and at least 1 recorded LVEF of < 40% Scheduled clinic visit 90- 180 days after study enrollment. NYHA Class II-IV Sleeps in the same bed at ≥ 4 days per week Able to ambulate Willingness to complete the required surveys, measurements and study activities Exclusion Criteria: Current ventricular assist device or cardiac transplant. Currently listed for cardiac transplantation End-Stage Renal Disease on chronic dialysis Malignancy diagnosis undergoing active treatment Hospice or palliative care Living in a skilled nursing facility or other chronic care facility (ambulatory patients only) Self-reported pregnancy or planned pregnancy in the next 6 months Inability or unwillingness to consent and/or follow requirements of the study Planned major surgeries or procedures requiring hospitalization in next 6 months Use of Lifevest or other worn device that may affect ballistocardiogram measurements Patient weight > 385 lbs at time of enrollment Life expectancy <1 year
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Greg Ewald, MD
Organizational Affiliation
Washington University School of Medicine
Official's Role
Principal Investigator
Facility Information:
Facility Name
Washington University School of Medicine
City
Saint Louis
State/Province
Missouri
ZIP/Postal Code
63110
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
29386200
Citation
Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation. 2018 Mar 20;137(12):e67-e492. doi: 10.1161/CIR.0000000000000558. Epub 2018 Jan 31. No abstract available. Erratum In: Circulation. 2018 Mar 20;137(12 ):e493.
Results Reference
background
PubMed Identifier
22009099
Citation
Chen J, Normand SL, Wang Y, Krumholz HM. National and regional trends in heart failure hospitalization and mortality rates for Medicare beneficiaries, 1998-2008. JAMA. 2011 Oct 19;306(15):1669-78. doi: 10.1001/jama.2011.1474.
Results Reference
background
PubMed Identifier
17909113
Citation
Wolfel EE. Can we predict and prevent the onset of acute decompensated heart failure? Circulation. 2007 Oct 2;116(14):1526-9. doi: 10.1161/CIRCULATIONAHA.107.729608. No abstract available.
Results Reference
background
PubMed Identifier
17282124
Citation
Ping W, Jin-Gang W, Xiao-Bo S, Wei H. The research of telemedicine system based on embedded computer. Conf Proc IEEE Eng Med Biol Soc. 2005;2006:114-7. doi: 10.1109/IEMBS.2005.1616355.
Results Reference
background
PubMed Identifier
21315441
Citation
Abraham WT, Adamson PB, Bourge RC, Aaron MF, Costanzo MR, Stevenson LW, Strickland W, Neelagaru S, Raval N, Krueger S, Weiner S, Shavelle D, Jeffries B, Yadav JS; CHAMPION Trial Study Group. Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial. Lancet. 2011 Feb 19;377(9766):658-66. doi: 10.1016/S0140-6736(11)60101-3. Erratum In: Lancet. 2012 Feb 4;379(9814):412.
Results Reference
background
PubMed Identifier
28254128
Citation
Boehmer JP, Hariharan R, Devecchi FG, Smith AL, Molon G, Capucci A, An Q, Averina V, Stolen CM, Thakur PH, Thompson JA, Wariar R, Zhang Y, Singh JP. A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices: Results From the MultiSENSE Study. JACC Heart Fail. 2017 Mar;5(3):216-225. doi: 10.1016/j.jchf.2016.12.011.
Results Reference
background
PubMed Identifier
28376093
Citation
Weng SF, Reps J, Kai J, Garibaldi JM, Qureshi N. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLoS One. 2017 Apr 4;12(4):e0174944. doi: 10.1371/journal.pone.0174944. eCollection 2017.
Results Reference
background
PubMed Identifier
20193826
Citation
Chan PS, Oetgen WJ, Spertus JA. The Improving Continuous Cardiac Care (IC(3)) program and outpatient quality improvement. Am J Med. 2010 Mar;123(3):217-9. doi: 10.1016/j.amjmed.2009.09.019. No abstract available. Erratum In: Am J Med. 2010 Oct;123(10):e13.
Results Reference
background
PubMed Identifier
26857383
Citation
Ong MK, Romano PS, Edgington S, Aronow HU, Auerbach AD, Black JT, De Marco T, Escarce JJ, Evangelista LS, Hanna B, Ganiats TG, Greenberg BH, Greenfield S, Kaplan SH, Kimchi A, Liu H, Lombardo D, Mangione CM, Sadeghi B, Sadeghi B, Sarrafzadeh M, Tong K, Fonarow GC; Better Effectiveness After Transition-Heart Failure (BEAT-HF) Research Group. Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients With Heart Failure: The Better Effectiveness After Transition -- Heart Failure (BEAT-HF) Randomized Clinical Trial. JAMA Intern Med. 2016 Mar;176(3):310-8. doi: 10.1001/jamainternmed.2015.7712. Erratum In: JAMA Intern Med. 2016 Apr;176(4):568. JAMA Intern Med. 2016 Jun 1;176(6):871.
Results Reference
background
PubMed Identifier
20031870
Citation
Krumholz HM, Merrill AR, Schone EM, Schreiner GC, Chen J, Bradley EH, Wang Y, Wang Y, Lin Z, Straube BM, Rapp MT, Normand SL, Drye EE. Patterns of hospital performance in acute myocardial infarction and heart failure 30-day mortality and readmission. Circ Cardiovasc Qual Outcomes. 2009 Sep;2(5):407-13. doi: 10.1161/CIRCOUTCOMES.109.883256. Epub 2009 Jul 9.
Results Reference
background
PubMed Identifier
22556322
Citation
Chun S, Tu JV, Wijeysundera HC, Austin PC, Wang X, Levy D, Lee DS. Lifetime analysis of hospitalizations and survival of patients newly admitted with heart failure. Circ Heart Fail. 2012 Jul 1;5(4):414-21. doi: 10.1161/CIRCHEARTFAILURE.111.964791. Epub 2012 May 2.
Results Reference
background
PubMed Identifier
27899857
Citation
Tung YC, Chou SH, Liu KL, Hsieh IC, Wu LS, Lin CP, Wen MS, Chu PH. Worse Prognosis in Heart Failure Patients with 30-Day Readmission. Acta Cardiol Sin. 2016 Nov;32(6):698-707. doi: 10.6515/acs20151113a.
Results Reference
background
PubMed Identifier
28501521
Citation
Sud M, Yu B, Wijeysundera HC, Austin PC, Ko DT, Braga J, Cram P, Spertus JA, Domanski M, Lee DS. Associations Between Short or Long Length of Stay and 30-Day Readmission and Mortality in Hospitalized Patients With Heart Failure. JACC Heart Fail. 2017 Aug;5(8):578-588. doi: 10.1016/j.jchf.2017.03.012. Epub 2017 May 10.
Results Reference
background
PubMed Identifier
20142027
Citation
Holland R, Rechel B, Stepien K, Harvey I, Brooksby I. Patients' self-assessed functional status in heart failure by New York Heart Association class: a prognostic predictor of hospitalizations, quality of life and death. J Card Fail. 2010 Feb;16(2):150-6. doi: 10.1016/j.cardfail.2009.08.010. Epub 2009 Oct 22.
Results Reference
background
PubMed Identifier
15262843
Citation
Soto GE, Jones P, Weintraub WS, Krumholz HM, Spertus JA. Prognostic value of health status in patients with heart failure after acute myocardial infarction. Circulation. 2004 Aug 3;110(5):546-51. doi: 10.1161/01.CIR.0000136991.85540.A9. Epub 2004 Jul 19.
Results Reference
background
PubMed Identifier
10758967
Citation
Green CP, Porter CB, Bresnahan DR, Spertus JA. Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. J Am Coll Cardiol. 2000 Apr;35(5):1245-55. doi: 10.1016/s0735-1097(00)00531-3.
Results Reference
background
PubMed Identifier
31488284
Citation
Greene SJ, Fonarow GC, Butler J. Reply: Titration of Guideline-Directed Medical Therapy Improves Patient-Centered Outcomes in Heart Failure With Reduced Ejection Fraction. J Am Coll Cardiol. 2019 Sep 10;74(10):1426-1427. doi: 10.1016/j.jacc.2019.06.061. No abstract available.
Results Reference
background

Learn more about this trial

Remote Monitoring of Multiple Indicators of Heart Failure

We'll reach out to this number within 24 hrs