Literature DB >> 21424278

Device monitoring strategies in acute heart failure syndromes.

Michael A Samara1, W H Wilson Tang.   

Abstract

Acute heart failure syndromes (AHFS) represent the most common discharge diagnoses in adults over age 65 and translate into dramatically increased heart failure-associated morbidity and mortality. Conventional approaches to the early detection of pulmonary and systemic congestion have been shown to be of limited sensitivity. Despite their proven efficacy, disease management and structured telephone support programs have failed to achieve widespread use in part due to their resource intensiveness and reliance upon motivated patients. While once thought to hold great promise, results from recent prospective studies on telemonitoring strategies have proven disappointing. Implantable devices with their capacity to monitor electrophysiologic and hemodynamic parameters over long periods of time and with minimal reliance on patient participation may provide solutions to some of these problems. Conventional electrophysiologic parameters and intrathoracic impedance data are currently available in the growing population of heart failure patients with equipped devices. A variety of implantable hemodynamic monitors are currently under investigation. How best to integrate these devices into a systematic approach to the management of patients before, during, and after AHFS is yet to be established.

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Year:  2011        PMID: 21424278     DOI: 10.1007/s10741-011-9236-4

Source DB:  PubMed          Journal:  Heart Fail Rev        ISSN: 1382-4147            Impact factor:   4.214


  73 in total

1.  Physician-directed patient self-management of left atrial pressure in advanced chronic heart failure.

Authors:  Jay Ritzema; Richard Troughton; Iain Melton; Ian Crozier; Robert Doughty; Henry Krum; Anthony Walton; Philip Adamson; Saibal Kar; Prediman K Shah; Mark Richards; Neal L Eigler; James S Whiting; Garrie J Haas; J Thomas Heywood; Christopher M Frampton; William T Abraham
Journal:  Circulation       Date:  2010-02-22       Impact factor: 29.690

2.  Utility of impedance cardiography for the identification of short-term risk of clinical decompensation in stable patients with chronic heart failure.

Authors:  Milton Packer; William T Abraham; Mandeep R Mehra; Clyde W Yancy; Christine E Lawless; Judith E Mitchell; Frank W Smart; Rachel Bijou; Christopher M O'Connor; Barry M Massie; Ileana L Pina; Barry H Greenberg; James B Young; Daniel P Fishbein; Paul J Hauptman; Robert C Bourge; John E Strobeck; Srinvivas Murali; Douglas Schocken; John R Teerlink; Wayne C Levy; Robin J Trupp; Marc A Silver
Journal:  J Am Coll Cardiol       Date:  2006-05-15       Impact factor: 24.094

Review 3.  Atrial fibrillation and acute decompensated heart failure.

Authors:  John P DiMarco
Journal:  Circ Heart Fail       Date:  2009-01       Impact factor: 8.790

4.  Risk stratification after hospitalization for decompensated heart failure.

Authors:  G Michael Felker; Jeffrey D Leimberger; Robert M Califf; Michael S Cuffe; Barry M Massie; Kirkwood F Adams; Mihai Gheorghiade; Christopher M O'Connor
Journal:  J Card Fail       Date:  2004-12       Impact factor: 5.712

5.  The limited reliability of physical signs for estimating hemodynamics in chronic heart failure.

Authors:  L W Stevenson; J K Perloff
Journal:  JAMA       Date:  1989-02-10       Impact factor: 56.272

6.  Early readmission of elderly patients with congestive heart failure.

Authors:  J M Vinson; M W Rich; J C Sperry; A S Shah; T McNamara
Journal:  J Am Geriatr Soc       Date:  1990-12       Impact factor: 5.562

7.  Continuous ambulatory right heart pressure measurements with an implantable hemodynamic monitor: a multicenter, 12-month follow-up study of patients with chronic heart failure.

Authors:  Anthony Magalski; Philip Adamson; Frederick Gadler; Michael Böehm; David Steinhaus; Dwight Reynolds; Kathryn Vlach; Cecilia Linde; Bodo Cremers; Brandon Sparks; Tom Bennett
Journal:  J Card Fail       Date:  2002-04       Impact factor: 5.712

8.  Clinical deterioration in established heart failure: what is the value of BNP and weight gain in aiding diagnosis?

Authors:  Jennifer Lewin; Mark Ledwidge; Christina O'Loughlin; Clare McNally; Ken McDonald
Journal:  Eur J Heart Fail       Date:  2005-10       Impact factor: 15.534

9.  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.

Authors:  David J Whellan; Kevin T Ousdigian; Sana M Al-Khatib; Wenji Pu; Shantanu Sarkar; Charles B Porter; Behzad B Pavri; Christopher M O'Connor
Journal:  J Am Coll Cardiol       Date:  2010-04-27       Impact factor: 24.094

10.  Incident heart failure hospitalization and subsequent mortality in chronic heart failure: a propensity-matched study.

Authors:  Ali Ahmed; Richard M Allman; Gregg C Fonarow; Thomas E Love; Faiez Zannad; Louis J Dell'italia; Michel White; Mihai Gheorghiade
Journal:  J Card Fail       Date:  2008-04       Impact factor: 5.712

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  3 in total

1.  Single exhaled breath metabolomic analysis identifies unique breathprint in patients with acute decompensated heart failure.

Authors:  Michael A Samara; W H Wilson Tang; Frank Cikach; Zeynep Gul; Lily Tranchito; Kelly M Paschke; Jamie Viterna; Yuping Wu; Daniel Laskowski; Raed A Dweik
Journal:  J Am Coll Cardiol       Date:  2013-04-02       Impact factor: 24.094

2.  Stratifying patients at the risk of heart failure hospitalization using existing device diagnostic thresholds.

Authors:  Vinod Sharma; Lisa D Rathman; Roy S Small; David J Whellan; Jodi Koehler; Eduardo Warman; William T Abraham
Journal:  Heart Lung       Date:  2014-12-24       Impact factor: 2.210

Review 3.  Digital Health Applications in Heart Failure: a Critical Appraisal of Literature.

Authors:  Medhat Farwati; Haris Riaz; W H Wilson Tang
Journal:  Curr Treat Options Cardiovasc Med       Date:  2021-01-16
  3 in total

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