Literature DB >> 36263114

Remote Patient Monitoring in Heart Failure: Factors for Clinical Efficacy.

Ankit Bhatia1,2, Thomas M Maddox1,2.   

Abstract

Despite clinical advances in its treatment, heart failure (HF) is associated with significant adverse clinical outcomes and is among the greatest drivers of healthcare utilization. Outpatient management of HF remains suboptimal, with gaps in the provision of evidence-based therapies, and difficulties in predicting and managing clinical decompensation. Remote patient monitoring (RPM) has the potential to address these issues, and thus has been of increasing interest to HF clinicians and health systems. Economic incentives, including increasing RPM reimbursement and HF readmission penalties, are also spurring increased interest in RPM. This review establishes a framework for evaluating RPM based on its various components: 1) patient data collection, 2) data transmission, analysis, and presentation, and 3) care team review and clinical action. The existing evidence regarding RPM in HF management is also reviewed. Based on the data, we identify RPM features associated with clinical efficacy and describe emerging digital tools that have the promise of addressing current needs.
Copyright © 2021. Korean Society of Heart Failure.

Entities:  

Keywords:  Heart failure; Telemedicine

Year:  2020        PMID: 36263114      PMCID: PMC9536717          DOI: 10.36628/ijhf.2020.0023

Source DB:  PubMed          Journal:  Int J Heart Fail        ISSN: 2636-154X


  62 in total

1.  Hemodynamic-GUIDEd management of Heart Failure (GUIDE-HF).

Authors:  JoAnn Lindenfeld; William T Abraham; Alan Maisel; Michael Zile; Frank Smart; Maria Rosa Costanzo; Mandeep R Mehra; Anique Ducharme; Samuel F Sears; Akshay S Desai; Sara Paul; Poornima Sood; Nessa Johnson; Greg Ginn; Philip B Adamson
Journal:  Am Heart J       Date:  2019-05-03       Impact factor: 4.749

2.  Telemedicine in heart failure: pre-specified and exploratory subgroup analyses from the TIM-HF trial.

Authors:  Friedrich Koehler; Sebastian Winkler; Michael Schieber; Udo Sechtem; Karl Stangl; Michael Böhm; Sophie de Brouwer; Emilie Perrin; Gert Baumann; Goetz Gelbrich; Herbert Boll; Marcus Honold; Kerstin Koehler; Bridget-Anne Kirwan; Stefan D Anker
Journal:  Int J Cardiol       Date:  2011-10-08       Impact factor: 4.164

3.  Evaluation of remote dielectric sensing (ReDS) technology-guided therapy for decreasing heart failure re-hospitalizations.

Authors:  Offer Amir; Tuvia Ben-Gal; Jean Marc Weinstein; Jorge Schliamser; Daniel Burkhoff; Aharon Abbo; William T Abraham
Journal:  Int J Cardiol       Date:  2017-03-03       Impact factor: 4.164

4.  Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction.

Authors:  John J V McMurray; Scott D Solomon; Silvio E Inzucchi; Lars Køber; Mikhail N Kosiborod; Felipe A Martinez; Piotr Ponikowski; Marc S Sabatine; Inder S Anand; Jan Bělohlávek; Michael Böhm; Chern-En Chiang; Vijay K Chopra; Rudolf A de Boer; Akshay S Desai; Mirta Diez; Jaroslaw Drozdz; Andrej Dukát; Junbo Ge; Jonathan G Howlett; Tzvetana Katova; Masafumi Kitakaze; Charlotta E A Ljungman; Béla Merkely; Jose C Nicolau; Eileen O'Meara; Mark C Petrie; Pham N Vinh; Morten Schou; Sergey Tereshchenko; Subodh Verma; Claes Held; David L DeMets; Kieran F Docherty; Pardeep S Jhund; Olof Bengtsson; Mikaela Sjöstrand; Anna-Maria Langkilde
Journal:  N Engl J Med       Date:  2019-09-19       Impact factor: 91.245

5.  Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial.

Authors:  Friedrich Koehler; Kerstin Koehler; Oliver Deckwart; Sandra Prescher; Karl Wegscheider; Bridget-Anne Kirwan; Sebastian Winkler; Eik Vettorazzi; Leonhard Bruch; Michael Oeff; Christian Zugck; Gesine Doerr; Herbert Naegele; Stefan Störk; Christian Butter; Udo Sechtem; Christiane Angermann; Guntram Gola; Roland Prondzinsky; Frank Edelmann; Sebastian Spethmann; Sebastian M Schellong; P Christian Schulze; Johann Bauersachs; Brunhilde Wellge; Christoph Schoebel; Milos Tajsic; Henryk Dreger; Stefan D Anker; Karl Stangl
Journal:  Lancet       Date:  2018-08-25       Impact factor: 79.321

6.  Hemodynamic factors associated with acute decompensated heart failure: part 2--use in automated detection.

Authors:  Philip B Adamson; Michael R Zile; Yong K Cho; Tom D Bennett; Robert C Bourge; Mark F Aaron; Juan M Aranda; William T Abraham; Fred J Kueffer; Robert T Taepke
Journal:  J Card Fail       Date:  2011-03-30       Impact factor: 5.712

7.  Angiotensin-neprilysin inhibition versus enalapril in heart failure.

Authors:  John J V McMurray; Milton Packer; Akshay S Desai; Jianjian Gong; Martin P Lefkowitz; Adel R Rizkala; Jean L Rouleau; Victor C Shi; Scott D Solomon; Karl Swedberg; Michael R Zile
Journal:  N Engl J Med       Date:  2014-08-30       Impact factor: 91.245

8.  HeartLogic Multisensor Algorithm Identifies Patients During Periods of Significantly Increased Risk of Heart Failure Events: Results From the MultiSENSE Study.

Authors:  Roy S Gardner; Jagmeet P Singh; Branislav Stancak; Devi G Nair; Michael Cao; Christopher Schulze; Pramodsingh H Thakur; Qi An; Scott Wehrenberg; Eric F Hammill; Yi Zhang; John P Boehmer
Journal:  Circ Heart Fail       Date:  2018-07       Impact factor: 8.790

9.  Isosorbide Mononitrate in Heart Failure with Preserved Ejection Fraction.

Authors:  Margaret M Redfield; Kevin J Anstrom; James A Levine; Gabe A Koepp; Barry A Borlaug; Horng H Chen; Martin M LeWinter; Susan M Joseph; Sanjiv J Shah; Marc J Semigran; G Michael Felker; Robert T Cole; Gordon R Reeves; Ryan J Tedford; W H Wilson Tang; Steven E McNulty; Eric J Velazquez; Monica R Shah; Eugene Braunwald
Journal:  N Engl J Med       Date:  2015-11-08       Impact factor: 91.245

Review 10.  Predicting heart failure decompensation using cardiac implantable electronic devices: a review of practices and challenges.

Authors:  Nathaniel M Hawkins; Sean A Virani; Matthew Sperrin; Iain E Buchan; John J V McMurray; Andrew D Krahn
Journal:  Eur J Heart Fail       Date:  2015-12-14       Impact factor: 15.534

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