Chapter 11
Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction
A Review
Jayakanth Kunhoth,
Nandhini Subramanian,
Ahmed Bouridane,
Jayakanth Kunhoth
Search for more papers by this authorNandhini Subramanian
Search for more papers by this authorAhmed Bouridane
Search for more papers by this authorJayakanth Kunhoth,
Nandhini Subramanian,
Ahmed Bouridane,
Jayakanth Kunhoth
Search for more papers by this authorNandhini Subramanian
Search for more papers by this authorAhmed Bouridane
Search for more papers by this authorBook Editor(s):Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, Issam Bait Bahadur,
First published: 22 April 2022
Abstract
This chapter briefly reviews the current invasive and non-invasive devices that are commercially available for monitoring the risk and health status of heart failure patients. Recent advancements in sensor technology have made the development of high-performance, low-cost microsensors easier. The chapter discusses various available external devices for monitoring and predicting the risk, hospital readmission, and mortality of heart failure patients. Hypertension is one of the main causes of cardiovascular disease and its associated risks, including death. Body mass index is one of the crucial indirect indicators for heart disease. Bioimpedance analysis estimates the total body fluid and aids in monitoring the fluid levels in the human body. The chapter discusses the available invasive techniques and commercially available invasive devices and sensors. The available invasive devices for remote monitoring of heart failures are classified into right ventricle pressure monitoring, pulmonary artery pressure sensors, left atrial pressure sensors, and intrathoracic impedance monitoring.
References
-
Roth , G.A.
,
Mensah , G.A.
,
Johnson , C.O.
,
Addolorato , G.
,
Ammirati , E.
,
Baddour , L.M.
,
Barengo , N.C.
,
Beaton , A.Z.
,
Benjamin , E.J.
,
Benziger , C.P.
,
Bonny , A.
,
Brauer , M.
,
Brodmann , M.
,
Cahill , T.J.
,
Carapetis , J.
,
Catapano , A.L.
,
Chugh , S.S.
,
Cooper , L.T.
,
Coresh , J.
, and
Murray , C.J.L.
(
2020
).
Global burden of cardiovascular diseases and risk factors, 1990–2019: Update from the GBD 2019 study
.
Journal of the American College of Cardiology
76
(
25
).
https://doi.org/10.1016/j.jacc.2020.11.010
.
10.1016/j.jacc.2020.11.010 Google Scholar
-
Virani , S.S.
,
Alonso , A.
,
Benjamin , E.J.
,
Bittencourt , M.S.
,
Callaway , C.W.
,
Carson , A.P.
,
Chamberlain , A.M.
,
Chang , A.R.
,
Cheng , S.
,
Delling , F.N.
,
Djousse , L.
,
Elkind , M.S.V.
,
Ferguson , J.F.
,
Fornage , M.
,
Khan , S.S.
,
Kissela , B.M.
,
Knutson , K.L.
,
Kwan , T.W.
,
Lackland , D.T.
, and
Heard , D.G.
(
2020
).
Heart disease and stroke statistics—2020 update: A report from the American Heart Association
.
Circulation
.
https://doi.org/10.1161/CIR.0000000000000757
.
10.1161/CIR.0000000000000757 Google Scholar
- Priorities for Health Promotion and Public Health . ( 2021 ). Priorities for Health Promotion and Public Health (ed. S. Robinson ). Routledge . https://doi.org/10.4324/9780367823689 .
-
Nguyen , L.S.
and
Squara , P.
(
2017
).
Non-invasive monitoring of cardiac output in critical care medicine
.
Frontiers in Medicine
4
(NOV).
https://doi.org/10.3389/fmed.2017.00200
.
10.3389/fmed.2017.00200 Google Scholar
-
Veenis , J.F.
and
Brugts , J.J.
(
2020
).
Remote monitoring of chronic heart failure patients: Invasive versus non-invasive tools for optimising patient management
.
Netherlands Heart Journal
28
(
1
).
https://doi.org/10.1007/s12471-019-01342-8
.
10.1007/s12471-019-01342-8 Google Scholar
- Gingele , A.J. , Ramaekers , B. , Brunner-La Rocca , H.P. , De Weerd , G. , Kragten , J. , Van Empel , V. , Van Der Weg , K. , Vrijhoef , H.J.M. , Gorgels , A. , Cleuren , G. , Boyne , J.J.J. , and Knackstedt , C. ( 2019 ). Effects of tailored telemonitoring on functional status and health-related quality of life in patients with heart failure . Netherlands Heart Journal 27 ( 11 ). https://doi.org/10.1007/s12471-019-01323-x .
- Koehler , F. , Koehler , K. , Deckwart , O. , Prescher , S. , Wegscheider , K. , Winkler , S. , Vettorazzi , E. , Polze , A. , Stangl , K. , Hartmann , O. , Marx , A. , Neuhaus , P. , Scherf , M. , Kirwan , B.A. , and Anker , S.D. ( 2018 ). Telemedical Interventional Management in Heart Failure II (TIM-HF2), a randomised, controlled trial investigating the impact of telemedicine on unplanned cardiovascular hospitalisations and mortality in heart failure patients: Study design and description of the intervention . European Journal of Heart Failure 20 ( 10 ). https://doi.org/10.1002/ejhf.1300 .
-
Ferrante , D.
,
Varini , S.
,
MacChia , A.
,
Soifer , S.
,
Badra , R.
,
Nul , D.
,
Grancelli , H.
, and
Doval , H.
(
2010
).
Long-term results after a telephone intervention in chronic heart failure: DIAL (Randomized trial of phone intervention in chronic heart failure) follow-up
.
Journal of the American College of Cardiology
56
(
5
).
https://doi.org/10.1016/j.jacc.2010.03.049
.
10.1016/j.jacc.2010.03.049 Google Scholar
-
Anand , I.S.
,
Tang , W.H.W.
,
Greenberg , B.H.
,
Chakravarthy , N.
,
Libbus , I.
, and
Katra , R.P.
(
2012
).
Design and performance of a multisensor heart failure monitoring algorithm: Results from the multisensor monitoring in Congestive Heart Failure (MUSIC) study
.
Journal of Cardiac Failure
18
(
4
).
https://doi.org/10.1016/j.cardfail.2012.01.009
.
10.1016/j.cardfail.2012.01.009 Google Scholar
- James , S. , Murphy , T. , Waterhouse , D. , Gallagher , J. , O'Connell , E. , Barton , D. , and McDonald , K. ( 2015 ). 22 Role of 12-lead electrocardiography in predicting heart failure in the community . Heart 101 ( 5 ). https://doi.org/10.1136/heartjnl-2015-308621.22 .
- Lih , O.S. , Jahmunah , V. , San , T.R. , Ciaccio , E.J. , Yamakawa , T. , Tanabe , M. , Kobayashi , M. , Faust , O. , and Acharya , U.R. ( 2020 ). Comprehensive electrocardiographic diagnosis based on deep learning . Artificial Intelligence in Medicine 103 . https://doi.org/10.1016/j.artmed.2019.101789 .
- Masetic , Z. and Subasi , A. ( 2016 ). Congestive heart failure detection using random forest classifier . Computer Methods and Programs in Biomedicine 130 . https://doi.org/10.1016/j.cmpb.2016.03.020 .
-
Hannun , A.Y.
,
Rajpurkar , P.
,
Haghpanahi , M.
,
Tison , G.H.
,
Bourn , C.
,
Turakhia , M.P.
, and
Ng , A.Y.
(
2019
).
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
.
Nature Medicine
25
(
1
).
https://doi.org/10.1038/s41591-018-0268-3
.
10.1038/s41591-018-0268-3 Google Scholar
- Chen , W. , Liu , G. , Su , S. , Jiang , Q. , and Hung , N. ( 2017 ). A CHF detection method based on deep learning with RR intervals . Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS . https://doi.org/10.1109/EMBC.2017.8037578 .
-
Chen , W.
,
Zheng , L.
,
Li , K.
,
Wang , Q.
,
Liu , G.
, and
Jiang , Q.
(
2016
).
A novel and effective method for congestive heart failure detection and quantification using dynamic heart rate variability measurement
.
PLoS ONE
11
(
11
).
https://doi.org/10.1371/journal.pone.0165304
.
10.1371/journal.pone.0165304 Google Scholar
-
Acharya , U.R.
,
Fujita , H.
,
Oh , S.L.
,
Hagiwara , Y.
,
Tan , J.H.
,
Adam , M.
, and
Tan , R.S.
(
2019
).
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals
.
Applied Intelligence
49
(
1
).
https://doi.org/10.1007/s10489-018-1179-1
.
10.1007/s10489-018-1179-1 Google Scholar
-
Wang , L.
and
Zhou , X.
(
2019
).
Detection of congestive heart failure based on LSTM-based deep network via short-term RR intervals
.
Sensors (Switzerland)
19
(
7
).
https://doi.org/10.3390/s19071502
.
10.3390/s19071502 Google Scholar
- Attia , Z.I. , Kapa , S. , Lopez-Jimenez , F. , McKie , P.M. , Ladewig , D.J. , Satam , G. , Pellikka , P.A. , Enriquez-Sarano , M. , Noseworthy , P.A. , Munger , T.M. , Asirvatham , S.J. , Scott , C.G. , Carter , R.E. , and Friedman , P.A. ( 2019 ). Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram . Nature Medicine 25 ( 1 ). https://doi.org/10.1038/s41591-018-0240-2 .
-
Lubitz , S.A.
,
Benjamin , E.J.
, and
Ellinor , P.T.
(
2010
).
Atrial fibrillation in congestive heart failure
.
Heart Failure Clinics
6
(
2
).
https://doi.org/10.1016/j.hfc.2009.11.001
.
10.1016/j.hfc.2009.11.001 Google Scholar
- Tsang , J.P. and Mohan , S. ( 2013 ). Benefits of monitoring patients with mobile cardiac telemetry (MCT) compared with the Event or Holter monitors . Medical Devices: Evidence and Research 7 ( 1 ). https://doi.org/10.2147/MDER.S54038 .
-
Oh , G.C.
and
Cho , H.-J.
(
2020
).
Blood pressure and heart failure
.
Clinical Hypertension
26
(
1
).
https://doi.org/10.1186/s40885-019-0132-x
.
10.1186/s40885-019-0132-x Google Scholar
-
Ruzicka , M.
,
Akbari , A.
,
Bruketa , E.
,
Kayibanda , J.F.
,
Baril , C.
, and
Hiremath , S.
(
2016
).
How accurate are home blood pressure devices in use? A cross-sectional study
.
PLoS ONE
11
(
6
).
https://doi.org/10.1371/journal.pone.0155677
.
10.1371/journal.pone.0155677 Google Scholar
-
Zhang , J.
,
Goode , K.M.
,
Cuddihy , P.E.
, and
Cleland , J.G.F.
(
2009
).
Predicting hospitalization due to worsening heart failure using daily weight measurement: Analysis of the Trans-European Network-Home-Care Management System (TEN-HMS) study
.
European Journal of Heart Failure
11
(
4
).
https://doi.org/10.1093/eurjhf/hfp033
.
10.1093/eurjhf/hfp033 Google Scholar
-
Gronda , E.
,
Vanoli , E.
,
Sacchi , S.
,
Grassi , G.
,
Ambrosio , G.
, and
Napoli , C.
(
2020
).
Risk of heart failure progression in patients with reduced ejection fraction: Mechanisms and therapeutic options
.
Heart Failure Reviews
25
(
2
).
https://doi.org/10.1007/s10741-019-09823-z
.
10.1007/s10741-019-09823-z Google Scholar
- Heart Failure Society of America and others . ( 2006 ). Self-care: Following Your Treatment Plan and Dealing with Your Symptoms . St Paul, Minn, USA : Heart Failure Society of America .
-
Wang , L.
,
Lahtinen , S.
,
Lentz , L.
,
Rakow , N.
,
Kaszas , C.
,
Ruetz , L.
,
Stylos , L.
, and
Olson , W.H.
(
2005
).
Feasibility of using an implantable system to measure thoracic congestion in an ambulatory chronic heart failure canine model
.
PACE - Pacing and Clinical Electrophysiology
28
(
5
).
https://doi.org/10.1111/j.1540-8159.2005.40009.x
.
10.1111/j.1540-8159.2005.40009.x Google Scholar
- Cotter , G. , Moshkovitz , Y. , Kaluski , E. , Cohen , A.J. , Miller , H. , Goor , D. , and Vered , Z. ( 2004 ). Accurate, noninvasive continuous monitoring of cardiac output by whole-body electrical bioimpedance . Chest 125 ( 4 ). https://doi.org/10.1378/chest.125.4.1431 .
- Lyons , K.J. , Bischoff , M.K. , Fonarow , G.C. , and Horwich , T.B. ( 2017 ). Noninvasive bioelectrical impedance for predicting clinical outcomes in outpatients with heart failure . Critical Pathways in Cardiology 16 ( 1 ). https://doi.org/10.1097/HPC.0000000000000105 .
- Kataoka , H. ( 2009 ). Novel monitoring method for the management of heart failure: Combined measurement of body weight and bioimpedance index of body fat percentage . Future Cardiology 5 ( 6 ). https://doi.org/10.2217/fca.09.47 .
- Gyllensten , I.C. , Bonomi , A.G. , Goode , K.M. , Reiter , H. , Habetha , J. , Amft , O. , and Cleland , J.G.F. ( 2016 ). Early indication of decompensated heart failure in patients on home-telemonitoring: A comparison of prediction algorithms based on daily weight and noninvasive transthoracic bioimpedance . JMIR Medical Informatics 4 ( 1 ). https://doi.org/10.2196/medinform.4842 .
- Dovancescu , S. , Saczynski , J.S. , Darling , C.E. , Riistama , J. , Sert Kuniyoshi , F. , Meyer , T. , Goldberg , R. , and McManus , D.D. ( 2015 ). Detecting heart failure decompensation by measuring transthoracic bioimpedance in the outpatient setting: Rationale and design of the SENTINEL-HF study . JMIR Research Protocols 4 ( 4 ). https://doi.org/10.2196/resprot.4899 .
-
Werhahn , S.M.
,
Dathe , H.
,
Rottmann , T.
,
Franke , T.
,
Vahdat , D.
,
Hasenfuß , G.
, and
Seidler , T.
(
2019
).
Designing meaningful outcome parameters using mobile technology: A new mobile application for telemonitoring of patients with heart failure
.
ESC Heart Failure
6
(
3
).
https://doi.org/10.1002/ehf2.12425
.
10.1002/ehf2.12425 Google Scholar
- Fox , K. , Ford , I. , Steg , P.G. , Tendera , M. , Robertson , M. , and Ferrari , R. ( 2008 ). Heart rate as a prognostic risk factor in patients with coronary artery disease and left-ventricular systolic dysfunction (BEAUTIFUL): A subgroup analysis of a randomised controlled trial . The Lancet 372 ( 9641 ). https://doi.org/10.1016/S0140-6736(08)61171-X .
-
Singh , N.
,
Moneghetti , K.J.
,
Christle , J.W.
,
Hadley , D.
,
Froelicher , V.
, and
Plews , D.
(
2018
).
Heart rate variability: An old metric with new meaning in the era of using mHealth technologies for health and exercise training guidance. Part two: Prognosis and training
.
Arrhythmia and Electrophysiology Review
7
(
4
).
https://doi.org/10.15420/aer.2018.30.2
.
10.15420/aer.2018.30.2 Google Scholar
-
Nelson , B.W.
and
Allen , N.B.
(
2019
).
Accuracy of consumer wearable heart rate measurement during an ecologically valid 24-hour period: Intraindividual validation study
.
JMIR MHealth and UHealth
7
(
3
).
https://doi.org/10.2196/10828
.
10.2196/10828 Google Scholar
- Etiwy , M. , Akhrass , Z. , Gillinov , L. , Alashi , A. , Wang , R. , Blackburn , G. , Gillinov , S.M. , Phelan , D. , Marc Gillinov , A. , Houghtaling , P.L. , Javadikasgari , H. , and Desai , M.Y. ( 2019 ). Accuracy of wearable heart rate monitors in cardiac rehabilitation . Cardiovascular Diagnosis and Therapy 9 ( 3 ). https://doi.org/10.21037/cdt.2019.04.08 .
- Avila , C.O. ( 2019 ). Novel use of Apple Watch 4 to obtain 3-lead electrocardiogram and detect cardiac ischemia . The Permanente Journal 23 . https://doi.org/10.7812/TPP/19-025 .
- Singhal , A. and Cowie , M.R. ( 2020 ). The role of wearables in heart failure . Current Heart Failure Reports 17 (Issue 4 ). https://doi.org/10.1007/s11897-020-00467-x .
- Chaudhry , S.I. , Mattera , J.A. , Curtis , J.P. , Spertus , J.A. , Herrin , J. , Lin , Z. , Phillips , C.O. , Hodshon , B.V. , Cooper , L.S. , and Krumholz , H.M. ( 2010 ). Telemonitoring in patients with heart failure . New England Journal of Medicine 363 ( 24 ). https://doi.org/10.1056/nejmoa1010029 .
- Koehler , J. , Stengel , A. , Hofmann , T. , Wegscheider , K. , Koehler , K. , Sehner , S. , Rose , M. , Deckwart , O. , Anker , S.D. , Koehler , F. , and Laufs , U. ( 2021 ). Telemonitoring in patients with chronic heart failure and moderate depressed symptoms: Results of the Telemedical Interventional Monitoring in Heart Failure (TIM-HF) study . European Journal of Heart Failure 23 ( 1 ). https://doi.org/10.1002/ejhf.2025 .
- Galinier , M. , Roubille , F. , Berdague , P. , Brierre , G. , Cantie , P. , Dary , P. , Ferradou , J.M. , Fondard , O. , Labarre , J.P. , Mansourati , J. , Picard , F. , Ricci , J.E. , Salvat , M. , Tartière , L. , Ruidavets , J.B. , Bongard , V. , Delval , C. , Lancman , G. , Pasche , H. , and Pathak , A. ( 2020 ). Telemonitoring versus standard care in heart failure: A randomised multicentre trial . European Journal of Heart Failure 22 ( 6 ). https://doi.org/10.1002/ejhf.1906 .
-
Ware , P.
,
Ross , H.J.
,
Cafazzo , J.A.
,
Laporte , A.
,
Gordon , K.
, and
Seto , E.
(
2018
).
Evaluating the implementation of a mobile phone–based telemonitoring program: Longitudinal study guided by the consolidated framework for implementation research
.
JMIR MHealth and UHealth
6
(
7
).
https://doi.org/10.2196/10768
.
10.2196/10768 Google Scholar
-
Pekmezaris , R.
,
Nouryan , C.N.
,
Schwartz , R.
,
Castillo , S.
,
Makaryus , A.N.
,
Ahern , D.
,
Akerman , M.B.
,
Lesser , M.L.
,
Bauer , L.
,
Murray , L.
,
Pecinka , K.
,
Zeltser , R.
,
Zhang , M.
, and
Dimarzio , P.
(
2019
).
A randomized controlled trial comparing telehealth self-management to standard outpatient management in underserved black and hispanic patients living with heart failure
.
Telemedicine and E-Health
25
(
10
).
https://doi.org/10.1089/tmj.2018.0219
.
10.1089/tmj.2018.0219 Google Scholar
- Inglis , S.C. , Clark , R.A. , Dierckx , R. , Prieto-Merino , D. , and Cleland , J.G.F. ( 2017 ). Structured telephone support or non-invasive telemonitoring for patients with heart failure . Heart 103 ( 4 ). https://doi.org/10.1136/heartjnl-2015-309191 .
-
Ong , M.K.
,
Romano , P.S.
,
Edgington , S.
,
Aronow , H.U.
,
Auerbach , A.D.
,
Black , J.T.
,
De Marco , T.
,
Escarce , J.J.
,
Evangelista , L.S.
,
Hanna , B.
,
Ganiats , T.G.
,
Greenberg , B.H.
,
Greenfield , S.
,
Kaplan , S.H.
,
Kimchi , A.
,
Liu , H.
,
Lombardo , D.
,
Mangione , C.M.
,
Sadeghi , B.
, and
Yan , T.
(
2016
).
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 Internal Medicine
176
(
3
).
https://doi.org/10.1001/jamainternmed.2015.7712
.
10.1001/jamainternmed.2015.7712 Google Scholar
- Bell , L. ( 2017 ). Best Health and Fitness Apps You Should Download Right Now . Forbes .
- Bartlett , Y.K. , Haywood , A. , Bentley , C.L. , Parker , J. , Hawley , M.S. , Mountain , G.A. , and Mawson , S. ( 2014 ). The SMART personalised self-management system for congestive heart failure: Results of a realist evaluation . BMC Medical Informatics and Decision Making 14 ( 1 ). https://doi.org/10.1186/s12911-014-0109-3 .
- Nundy , S. , Razi , R.R. , Dick , J.J. , Smith , B. , Mayo , A. , O'Connor , A. , and Meltzer , D.O. ( 2013 ). A text messaging intervention to improve heart failure self-management after hospital discharge in a largely African-American population: Before-After study . Journal of Medical Internet Research 15 ( 3 ). https://doi.org/10.2196/jmir.2317 .
- Portz , J.D. , Vehovec , A. , Dolansky , M.A. , Levin , J.B. , Bull , S. , and Boxer , R. ( 2018 ). The development and acceptability of a mobile application for tracking symptoms of heart failure among older adults . Telemedicine and E-Health 24 ( 2 ). https://doi.org/10.1089/tmj.2017.0036 .
-
Wali , S.
,
Demers , C.
,
Shah , H.
,
Wali , H.
,
Lim , D.
,
Naik , N.
,
Ghany , A.
,
Vispute , A.
,
Wali , M.
, and
Keshavjee , K.
(
2019
).
Evaluation of heart failure apps to promote self-care: Systematic app search
.
JMIR MHealth and UHealth
7
(
11
).
https://doi.org/10.2196/13173
.
10.2196/13173 Google Scholar
-
Mortara , A.
,
Vaira , L.
,
Palmieri , V.
,
Iacoviello , M.
,
Battistoni , I.
,
Iacovoni , A.
,
Macera , F.
,
Pasqualucci , D.
,
Bochicchio , M.
, and
De Maria , R.
(
2020
).
Would you prescribe mobile health apps for heart failure self-care? An integrated review of commercially available mobile technology for heart failure patients
.
Cardiac Failure Review
6
.
https://doi.org/10.15420/cfr.2019.11
.
10.15420/cfr.2019.11 Google Scholar
- Reynolds , D.W. , Bartelt , N. , Taepke , R. , and Bennett , T.D. ( 1995 ). Measurement of pulmonary artery diastolic pressure from the right ventricle . Journal of the American College of Cardiology 25 ( 5 ). https://doi.org/10.1016/0735-1097%2894%2900510-W .
- Chuang , P.P. , Wilson , R.F. , Romans , D.C. , Stone , K. , Bergman , T. , Bennett , T.D. , and Kubo , S.H. ( 1996 ). Measurement of pulmonary artery diastolic pressure from a right ventricular pressure transducer in patients with heart failure . Journal of Cardiac Failure 2 ( 1 ). https://doi.org/10.1016/S1071-9164(96)80008-X .
- Ohlsson , Å. , Bennett , T. , Nordlander , R. , Rydén , J. , Åström , H. , and Rydén , L. ( 1995 ). Monitoring of pulmonary arterial diastolic pressure through a right ventricular pressure transducer . Journal of Cardiac Failure 1 ( 2 ). https://doi.org/10.1016/1071-9164(95)90018-7 .
-
Miller-Hance , W.C.
and
Gertler , R.
(
2019
).
Essentials of cardiology
. In:
A Practice of Anesthesia for Infants and Children
.
https://doi.org/10.1016/B978-0-323-42974-0.00016-1
.
10.1016/B978-0-323-42974-0.00016-1 Google Scholar
-
Bourge , R.C.
,
Abraham , W.T.
,
Adamson , P.B.
,
Aaron , M.F.
,
Aranda , J.M.
,
Magalski , A.
,
Zile , M.R.
,
Smith , A.L.
,
Smart , F.W.
,
O'Shaughnessy , M.A.
,
Jessup , M.L.
,
Sparks , B.
,
Naftel , D.L.
, and
Stevenson , L.W.
(
2008
).
Randomized controlled trial of an implantable continuous hemodynamic monitor in patients with advanced heart failure. The COMPASS-HF study
.
Journal of the American College of Cardiology
51
(
11
).
https://doi.org/10.1016/j.jacc.2007.10.061
.
10.1016/j.jacc.2007.10.061 Google Scholar
- Abraham , W.T. , Adamson , P.B. , Bourge , R.C. , Aaron , M.F. , Costanzo , M.R. , Stevenson , L.W. , Strickland , W. , Neelagaru , S. , Raval , N. , Krueger , S. , Weiner , S. , Shavelle , D. , Jeffries , B. , and Yadav , J.S. ( 2011 ). Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: A randomised controlled trial . The Lancet 377 ( 9766 ). https://doi.org/10.1016/S0140-6736(11)60101-3 .
-
Abraham , W.T.
,
Stevenson , L.W.
,
Bourge , R.C.
,
Lindenfeld , J.A.
,
Bauman , J.G.
, and
Adamson , P.B.
(
2016
).
Sustained efficacy of pulmonary artery pressure to guide adjustment of chronic heart failure therapy: Complete follow-up results from the CHAMPION randomised trial
.
The Lancet
387
(
10017
).
https://doi.org/10.1016/S0140-6736(15)00723-0
.
10.1016/S0140-6736(15)00723-0 Google Scholar
-
Mullens , W.
,
Sharif , F.
,
Dupont , M.
,
Rothman , A.M.K.
, and
Wijns , W.
(
2020
).
Digital health care solution for proactive heart failure management with the Cordella Heart Failure System: Results of the SIRONA first-in-human study
.
European Journal of Heart Failure
22
(
10
).
https://doi.org/10.1002/ejhf.1870
.
10.1002/ejhf.1870 Google Scholar
- Ritzema , J. , Melton , I.C. , Richards , A.M. , Crozier , I.G. , Frampton , C. , Doughty , R.N. , Whiting , J. , Kar , S. , Eigler , N. , Krum , H. , Abraham , W.T. , and Troughton , R.W. ( 2007 ). Direct left atrial pressure monitoring in ambulatory heart failure patients: Initial experience with a new permanent implantable device . Circulation 116 ( 25 ). https://doi.org/10.1161/CIRCULATIONAHA.107.702191 .
- Ritzema , J. , Troughton , R. , Melton , I. , Crozier , I. , Doughty , R. , Krum , H. , Walton , A. , Adamson , P. , Kar , S. , Shah , P.K. , Richards , M. , Eigler , N.L. , Whiting , J.S. , Haas , G.J. , Heywood , J.T. , Frampton , C.M. , and Abraham , W.T. ( 2010 ). Physician-directed patient self-management of left atrial pressure in advanced chronic heart failure . Circulation 121 ( 9 ). https://doi.org/10.1161/CIRCULATIONAHA.108.800490 .
-
Li , P.
,
Lee , G.H.
,
Kim , S.Y.
,
Kwon , S.Y.
,
Kim , H.R.
, and
Park , S.
(
2021
).
From diagnosis to treatment: Recent advances in patient-friendly biosensors and implantable devices
.
ACS Nano
15
(
2
).
https://doi.org/10.1021/acsnano.0c06688
.
10.1021/acsnano.0c06688 Google Scholar
-
Yu , C.M.
,
Wang , L.
,
Chau , E.
,
Chan , R.H.W.
,
Kong , S.L.
,
Tang , M.O.
,
Christensen , J.
,
Stadler , R.W.
, and
Lau , C.P.
(
2005
).
Intrathoracic impedance monitoring in patients with heart failure: Correlation with fluid status and feasibility of early warning preceding hospitalization
.
Circulation
112
(
6
).
https://doi.org/10.1161/CIRCULATIONAHA.104.492207
.
10.1161/CIRCULATIONAHA.104.492207 Google Scholar
- Whellan , D.J. , Ousdigian , K.T. , Al-Khatib , S.M. , Pu , W. , Sarkar , S. , Porter , C.B. , Pavri , B.B. , and O'Connor , C.M. ( 2010 ). Combined heart failure device diagnostics identify patients at higher risk of subsequent heart failure hospitalizations. Results from PARTNERS HF (Program to access and review trending information and evaluate correlation to symptoms in patients with heart failure) study . Journal of the American College of Cardiology 55 ( 17 ). https://doi.org/10.1016/j.jacc.2009.11.089 .
- Small , R.S. , Wickemeyer , W. , Germany , R. , Hoppe , B. , Andrulli , J. , Brady , P.A. , Labeau , M. , Koehler , J. , Sarkar , S. , Hettrick , D.A. , and Tang , W.H.W. ( 2009 ). Changes in intrathoracic impedance are associated with subsequent risk of hospitalizations for acute decompensated heart failure: Clinical utility of implanted device monitoring without a patient alert . Journal of Cardiac Failure 15 ( 6 ). https://doi.org/10.1016/j.cardfail.2009.01.012 .
-
Abraham , W.T.
,
Compton , S.
,
Haas , G.
,
Foreman , B.
,
Canby , R.C.
,
Fishel , R.
,
Mcrae , S.
,
Toledo , G.B.
,
Sarkar , S.
, and
Hettrick , D.A.
(
2011
).
Intrathoracic impedance vs daily weight monitoring for predicting worsening heart failure events: Results of the fluid accumulation status trial (FAST)
.
Congestive Heart Failure
17
(
2
).
https://doi.org/10.1111/j.1751-7133.2011.00220.x
.
10.1111/j.1751-7133.2011.00220.x Google Scholar
- Crossley , G.H. , Boyle , A. , Vitense , H. , Chang , Y. , and Mead , R.H. ( 2011 ). The CONNECT (Clinical evaluation of remote notification to reduce time to clinical decision) trial: The value of wireless remote monitoring with automatic clinician alerts . Journal of the American College of Cardiology 57 ( 10 ). https://doi.org/10.1016/j.jacc.2010.12.012 .
