NCT05080504

Brief Summary

This study will enroll heart failure (HF) patients who are under active management with an implanted pulmonary artery pressure sensor (CardioMEMS). Subjects will be provided an electronic stethoscope (the Eko DUO) to take at-home heart sound, lung sound, and ECG recordings in conjunction with regimented CardioMEMS measurements. These two datasets will be used to confirm whether an AI/ML model to track HF status can be developed.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
17

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Feb 2021

Typical duration for all trials

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2021

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

September 9, 2021

Completed
1 month until next milestone

First Posted

Study publicly available on registry

October 15, 2021

Completed
1.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2023

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2023

Completed
Last Updated

February 25, 2025

Status Verified

February 1, 2025

Enrollment Period

2.2 years

First QC Date

September 9, 2021

Last Update Submit

February 24, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • Correlation between AI/ML model output and the ground-truth of CardioMEMS PA pressure measurements.

    The primary objective of this proof of concept study is to demonstrate whether Eko data scientists can create an artificial intelligence machine learning (AI/ML) model of pulmonary artery (PA) pressures by analyzing sound and electrical (ECG) signals of heart activity captured by the non-invasive, FDA-cleared, Eko DUO electronic stethoscope.

    6 months

Secondary Outcomes (2)

  • Composite of the incidence of poor-quality ECG or PCG data and tabulation of patient compliance with the data measurement schedule

    6 months

  • Intra-subject reproducibility of measured variables

    6 months

Study Arms (1)

Study Population

Subjects with implanted CardioMEMS who are compliant with their measurements.

Device: Eko DUO

Interventions

Eko DUODEVICE

Each subject will take an Eko DUO device home and take DUO recordings immediately before or after their prescribed CardioMEMS measurements. The DUO recordings will be taken at 3 predefined chest locations: the right upper sternal border, left upper sternal border, and right anterolateral. Each DUO recording lasts about 15 seconds. The total time per recording session is expected to be 2-4 minutes, which allows for time between recordings and any potential repeat recordings. Study participation will last for 90 days.

Study Population

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients will be identified via the medical center's registry of patients who are actively managed with CardioMEMS. Alternatively, the center's schedule of CardioMEMS implantations will be monitored for potential subjects with newly implanted CardioMEMS.

You may qualify if:

  • Aged 18 years and older
  • Patient or healthcare proxy willing to give written informed consent to participate
  • Presence of an implanted CardioMEMS device or imminent implantation of a CardioMEMS device
  • Expressed willingness to take DUO recordings immediately before or after taking their CardioMEMS measurements, on the same schedule prescribed by their physician
  • Functioning iOS or Android smartphone or tablet that can download and run the companion Eko application
  • Access to WiFi or cellular data connection at home

You may not qualify if:

  • Patient or healthcare proxy is unwilling or unable to give written informed consent
  • Patient is enrolled in another study that may interfere with the observations from this study
  • Acute pericarditis
  • Healing chest wall wounds (e.g., sternotomy or thoracotomy)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Columbia University Irving Medical Center

New York, New York, 10032, United States

Location

Sentara Cardiovascular Research Institute

Norfolk, Virginia, 22191, United States

Location

Related Publications (20)

  • Brugts JJ, Veenis JF, Radhoe SP, Linssen GCM, van Gent M, Borleffs CJW, van Ramshorst J, van Pol P, Tukkie R, Spee RF, Emans ME, Kok W, van Halm V, Handoko L, Beeres SLMA, Post MC, Boersma E, Lenzen MJ, Manintveld OC, Koffijberg H, van Baal P, Versteegh M, Smilde TD, van Heerebeek L, Rienstra M, Mosterd A, Delnoy PPH, Asselbergs FW, Brunner-La Rocca HP, de Boer RA. A randomised comparison of the effect of haemodynamic monitoring with CardioMEMS in addition to standard care on quality of life and hospitalisations in patients with chronic heart failure : Design and rationale of the MONITOR HF multicentre randomised clinical trial. Neth Heart J. 2020 Jan;28(1):16-26. doi: 10.1007/s12471-019-01341-9.

    PMID: 31776915BACKGROUND
  • Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM. Telemonitoring in patients with heart failure. N Engl J Med. 2010 Dec 9;363(24):2301-9. doi: 10.1056/NEJMoa1010029. Epub 2010 Nov 16.

    PMID: 21080835BACKGROUND
  • Desai AS, Stevenson LW. Rehospitalization for heart failure: predict or prevent? Circulation. 2012 Jul 24;126(4):501-6. doi: 10.1161/CIRCULATIONAHA.112.125435. No abstract available.

    PMID: 22825412BACKGROUND
  • Dhruva SS, Krumholz HM. Championing Effectiveness Before Cost-Effectiveness. JACC Heart Fail. 2016 May;4(5):376-9. doi: 10.1016/j.jchf.2016.02.001. Epub 2016 Mar 30. No abstract available.

    PMID: 27039130BACKGROUND
  • Givertz MM, Stevenson LW, Costanzo MR, Bourge RC, Bauman JG, Ginn G, Abraham WT; CHAMPION Trial Investigators. Pulmonary Artery Pressure-Guided Management of Patients With Heart Failure and Reduced Ejection Fraction. J Am Coll Cardiol. 2017 Oct 10;70(15):1875-1886. doi: 10.1016/j.jacc.2017.08.010.

    PMID: 28982501BACKGROUND
  • Inglis SC, Clark RA, McAlister FA, Ball J, Lewinter C, Cullington D, Stewart S, Cleland JG. Structured telephone support or telemonitoring programmes for patients with chronic heart failure. Cochrane Database Syst Rev. 2010 Aug 4;(8):CD007228. doi: 10.1002/14651858.CD007228.pub2.

    PMID: 20687083BACKGROUND
  • Johnston M, Collins SP, Storrow AB. The third heart sound for diagnosis of acute heart failure. Curr Heart Fail Rep. 2007 Sep;4(3):164-8. doi: 10.1007/s11897-007-0036-z.

    PMID: 17883993BACKGROUND
  • Kilgore M, Patel HK, Kielhorn A, Maya JF, Sharma P. Economic burden of hospitalizations of Medicare beneficiaries with heart failure. Risk Manag Healthc Policy. 2017 May 10;10:63-70. doi: 10.2147/RMHP.S130341. eCollection 2017.

    PMID: 28546776BACKGROUND
  • Koehler F, Winkler S, Schieber M, Sechtem U, Stangl K, Bohm M, Boll H, Baumann G, Honold M, Koehler K, Gelbrich G, Kirwan BA, Anker SD; Telemedical Interventional Monitoring in Heart Failure Investigators. Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: the telemedical interventional monitoring in heart failure study. Circulation. 2011 May 3;123(17):1873-80. doi: 10.1161/CIRCULATIONAHA.111.018473. Epub 2011 Mar 28.

    PMID: 21444883BACKGROUND
  • Madias JE. The resting electrocardiogram in the management of patients with congestive heart failure: established applications and new insights. Pacing Clin Electrophysiol. 2007 Jan;30(1):123-8. doi: 10.1111/j.1540-8159.2007.00586.x.

    PMID: 17241326BACKGROUND
  • Schmier JK, Ong KL, Fonarow GC. Cost-Effectiveness of Remote Cardiac Monitoring With the CardioMEMS Heart Failure System. Clin Cardiol. 2017 Jul;40(7):430-436. doi: 10.1002/clc.22696. Epub 2017 Mar 8.

    PMID: 28272808BACKGROUND
  • Sehatbakhsh, Samineh, Stephanie Hakimian, Yash Jobanputra, Rosmy Jimmy, Robert Chait, Mark Showronski, Kaustubh Kale, and Steven Borzak. 2018. "Assessment of LV Systolic Function Using Cardiac Time Intervals with an Acoustic Array Approach." Journal of Cardiac Failure 24 (8): S38.

    BACKGROUND
  • Stehlik J, Schmalfuss C, Bozkurt B, Nativi-Nicolau J, Wohlfahrt P, Wegerich S, Rose K, Ray R, Schofield R, Deswal A, Sekaric J, Anand S, Richards D, Hanson H, Pipke M, Pham M. Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study. Circ Heart Fail. 2020 Mar;13(3):e006513. doi: 10.1161/CIRCHEARTFAILURE.119.006513. Epub 2020 Feb 25.

    PMID: 32093506BACKGROUND
  • Sung, Shih-Hsien, Wen-Chung Yu, Hao-Min Cheng, Yu-Ping Chang, and Chen-Huan Chen. 2019. "USE OF ACOUSTIC CARDIOGRAPHY TO GUIDE OUTPATIENT THERAPY OF PATIENTS WITH ACUTE HEART FAILURE SYNDROME." Journal of the American College of Cardiology 63 (12 Supplement): A541.

    BACKGROUND
  • Toukhsati SR, Driscoll A, Hare DL. Patient Self-management in Chronic Heart Failure - Establishing Concordance Between Guidelines and Practice. Card Fail Rev. 2015 Oct;1(2):128-131. doi: 10.15420/cfr.2015.1.2.128.

    PMID: 28785446BACKGROUND
  • "Trends in Hospital Readmissions and Mortality Rates - American College of Cardiology." N.d. American College of Cardiology. Accessed April 2, 2020. https://www.acc.org/latest-in-cardiology/journal-scans/2019/07/10/09/53/evaluation-of-30-day-hospital-readmission.

    BACKGROUND
  • Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation. 2020 Mar 3;141(9):e139-e596. doi: 10.1161/CIR.0000000000000757. Epub 2020 Jan 29.

    PMID: 31992061BACKGROUND
  • van Walraven C, Jennings A, Forster AJ. A meta-analysis of hospital 30-day avoidable readmission rates. J Eval Clin Pract. 2012 Dec;18(6):1211-8. doi: 10.1111/j.1365-2753.2011.01773.x. Epub 2011 Nov 9.

    PMID: 22070191BACKGROUND
  • Zohrabian A, Kapp JM, Simoes EJ. The economic case for US hospitals to revise their approach to heart failure readmission reduction. Ann Transl Med. 2018 Aug;6(15):298. doi: 10.21037/atm.2018.07.30.

    PMID: 30211186BACKGROUND
  • Hulley SB, Cummings SR, Browner WS, Grady D, Newman TB. Designing Clinical Research: An Epidemiologic Approach. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2013. Appendix 6C, p79.

    BACKGROUND

MeSH Terms

Conditions

Heart Failure

Condition Hierarchy (Ancestors)

Heart DiseasesCardiovascular Diseases

Study Officials

  • Deepak Talreja, MD

    Sentara Healthcare

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 9, 2021

First Posted

October 15, 2021

Study Start

February 1, 2021

Primary Completion

April 1, 2023

Study Completion

May 1, 2023

Last Updated

February 25, 2025

Record last verified: 2025-02

Locations