Remote Monitoring of Multiple Indicators of Heart Failure
NCT ID: NCT04267744
Last Updated: 2023-12-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
165 participants
INTERVENTIONAL
2020-02-11
2024-08-01
Brief Summary
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Detailed Description
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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.
Conditions
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Keywords
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Study Design
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NA
SINGLE_GROUP
SUPPORTIVE_CARE
NONE
Study Groups
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Remote patient monitoring
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
Myia Health® remote patient monitoring unblinded treatment arm
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)
Interventions
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Myia Health® remote patient monitoring unblinded treatment arm
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)
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
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
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
18 Years
ALL
No
Sponsors
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Healthcare Innovation Lab
UNKNOWN
MYIA Labs, Inc.
UNKNOWN
Washington University School of Medicine
OTHER
Responsible Party
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Principal Investigators
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Greg Ewald, MD
Role: PRINCIPAL_INVESTIGATOR
Washington University School of Medicine
Locations
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Washington University School of Medicine
St Louis, Missouri, United States
Countries
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References
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Other Identifiers
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201908180
Identifier Type: -
Identifier Source: org_study_id