Implementation of remote monitoring strategies to improve chronic heart failure management

被引:5
作者
Chau, Vinh Q. [1 ]
Imamura, Teruhiko [2 ]
Narang, Nikhil [1 ,3 ,4 ]
机构
[1] Advocate Heart Inst, Advocate Christ Med Ctr, Oak Lawn, IL 60453 USA
[2] Univ Toyama, Dept Internal Med 2, Toyama, Japan
[3] Univ Illinois, Dept Med, Div Cardiol, Chicago, IL USA
[4] Advocate Christ Med Ctr, 4440 W 95th St OPP Suite 6411, Oak Lawn, IL 60453 USA
关键词
chronic heart failure; hemodynamics; remote monitoring; MULTISENSOR ALGORITHM; HF; TRANSITION; ALERTS;
D O I
10.1097/HCO.0000000000001119
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose of reviewThe goal of this review is to describe the current evidence available for remote monitoring devices available for patients with chronic heart failure, and also detail practical clinical recommendations for implementing these tools in daily clinical practice.Recent findingsSeveral devices ranging from sophisticated multiparametric algorithms in defibrillators, implantable pulmonary artery pressure sensors, and wearable devices to measure thoracic impedance can be utilized as important adjunctive tools to reduce the risk of heart failure hospitalization in patients with chronic heart failure. Pulmonary artery pressure sensors provide the most granular data regarding hemodynamic status, while alerts from wearable devices for thoracic impedance and defibrillator-based algorithms increase the likelihood of worsening clinical status while also having high negative predictive value when values are within normal range.SummaryMultiple device-based monitoring strategies are available to reduce longitudinal risk in patients with chronic heart failure. Further studies are needed to best understand a practical pathway to integrate multiple signals of data for early clinical decompensation risk predictionVideo abstract: http://links.lww.com/HCO/A95.SummaryMultiple device-based monitoring strategies are available to reduce longitudinal risk in patients with chronic heart failure. Further studies are needed to best understand a practical pathway to integrate multiple signals of data for early clinical decompensation risk predictionVideo abstract: http://links.lww.com/HCO/A95.
引用
收藏
页码:210 / 217
页数:8
相关论文
共 48 条
[1]   Patient monitoring across the spectrum of heart failure disease management 10 years after the CHAMPION trial [J].
Abraham, William T. ;
Bensimhon, Daniel ;
Pinney, Sean P. ;
Feitell, Scott C. ;
Peacock, W. Frank ;
Amir, Offer ;
Burkhoff, Daniel .
ESC HEART FAILURE, 2021, 8 (05) :3472-3482
[2]   Primary Results of the Sensible Medical Innovations Lung Fluid Status Monitor Allows Reducing Readmission Rate of Heart Failure Patients (smile) Trial [J].
Abraham, William T. ;
Anker, Stefan ;
Burkhoff, Dan ;
Cleland', John ;
Gorodeski, Eiran ;
Jaarsma, Tiny ;
Small, Roy ;
Lindenfeld, JoAnn ;
Miller, Alan ;
Ogenstad, Stephan ;
Pinney, Sean ;
Zimmer, Raymond ;
Eckman, Peter ;
Koren, Michael ;
McRae, Tom ;
Klein, Liviu ;
Amir, Offer ;
Costanzo, Maria Rosa ;
Uriel, Nir .
JOURNAL OF CARDIAC FAILURE, 2019, 25 (11) :938-938
[3]   Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial [J].
Abraham, William T. ;
Adamson, Philip B. ;
Bourge, Robert C. ;
Aaron, Mark F. ;
Costanzo, Maria Rosa ;
Stevenson, Lynne W. ;
Strickland, Warren ;
Neelagaru, Suresh ;
Raval, Nirav ;
Krueger, Steven ;
Weiner, Stanislav ;
Shavelle, David ;
Jeffries, Bradley ;
Yadav, Jay S. .
LANCET, 2011, 377 (9766) :658-666
[4]   Continuous autonomic assessment in patients with symptomatic heart failure - Prognostic value of heart rate variability measured by an implanted cardiac resynchronization device [J].
Adamson, PB ;
Smith, AL ;
Abraham, WT ;
Kleckner, KJ ;
Stadler, RW ;
Shih, A ;
Rhodes, MM .
CIRCULATION, 2004, 110 (16) :2389-2394
[5]  
Adamson Philip B, 2009, Curr Heart Fail Rep, V6, P287
[6]   Fluid status telemedicine alerts for heart failure: a randomized controlled trial [J].
Boehm, Michael ;
Drexler, Helmut ;
Oswald, Hanno ;
Rybak, Karin ;
Bosch, Ralph ;
Butter, Christian ;
Klein, Gunnar ;
Gerritse, Bart ;
Monteiro, Joao ;
Israel, Carsten ;
Bimmel, Dieter ;
Kaeab, Stefan ;
Huegl, Burkhard ;
Brachmann, Johannes .
EUROPEAN HEART JOURNAL, 2016, 37 (41) :3154-3163
[7]   A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices Results From the MultiSENSE Study [J].
Boehmer, John P. ;
Hariharan, Ramesh ;
Devecchi, Fausto G. ;
Smith, Andrew L. ;
Molon, Giulio ;
Capucci, Alessandro ;
An, Qi ;
Averina, Viktoria ;
Stolen, Craig M. ;
Thakur, Pramodsingh H. ;
Thompson, Julie A. ;
Wariar, Ramesh ;
Zhang, Yi ;
Singh, Jagmeet P. .
JACC-HEART FAILURE, 2017, 5 (03) :216-225
[8]  
Boehmer JP, 2023, P AM COLL CARD ANN S, P4
[9]  
Bonno EL, 2020, Advances in Pulmonary Hypertension, V19, P6, DOI [10.21693/1933-088x-19.1.6, DOI 10.21693/1933-088X-19.1.6, 10.21693/1933-088X-19.1.6]
[10]   Heart Failure Epidemiology and Outcomes Statistics: A Report of the Heart Failure Society of America [J].
Bozkurt, Biykem ;
Ahmad, Tariq ;
Alexander, Kevin M. ;
Baker, William L. ;
Bosak, Kelly ;
Breathett, Khadijah ;
Fonarow, Gregg C. ;
Heidenreich, Paul ;
Ho, Jennifer E. ;
Hsich, Eileen ;
Ibrahim, Nasrien E. ;
Jones, Lenette M. ;
Khan, Sadiya S. ;
Khazanie, Prateeti ;
Koelling, Todd ;
Krumholz, Harlan M. ;
Khush, Kiran K. ;
Lee, Christopher ;
Morris, Alanna A. ;
Page, Robert L. ;
Pandey, Ambarish ;
Piano, Mariann R. ;
Stehlik, Josef ;
Stevenson, Lynne Warner ;
Teerlink, John R. ;
Vaduganathan, Muthiah ;
Ziaeian, Boback .
JOURNAL OF CARDIAC FAILURE, 2023, 29 (10) :1412-1451