Literature DB >> 19252210

Predicting hospitalization due to worsening heart failure using daily weight measurement: analysis of the Trans-European Network-Home-Care Management System (TEN-HMS) study.

Jufen Zhang1, Kevin M Goode, Paul E Cuddihy, John G F Cleland.   

Abstract

AIMS: We sought to test the utility of weight gain algorithms to predict episodes of worsening heart failure (WHF) using home-telemonitoring data collected as part of the TEN-HMS study. METHODS AND
RESULTS: Simple rule-of-thumb (RoT) algorithms (i.e. 3 lbs in 1 day and 5 lbs in 3 days) and a moving average convergence divergence (MACD) algorithm were compared. WHF was defined as hospitalization for WHF or worsening of breathlessness or leg oedema. Of 168 patients, 45 were hospitalized with WHF and 76 were hospitalized for other reasons. On average, weight gain occurred in the 14 days prior to WHF hospitalizations but not in the 14 days prior to non-WHF hospitalizations [1.9 +/- 4.7 lbs (0.9 +/- 2.1 kg) vs. -0.4 +/- 2.5 lbs (-0.2 +/- 1.1 kg), P < 0.0001]. The true alerts rate was higher for the RoT algorithms compared with the MACD (58 and 65% vs. 20%). However, the RoT algorithms had much higher false alert rates (54 and 58% vs. 9%) rendering them of little practical use for predicting WHF events.
CONCLUSION: A MACD algorithm is more specific but less sensitive than RoT when trying to predict episodes of WHF based on daily weight measurements. However, many episodes of WHF do not appear to be associated with weight gain and therefore telemonitoring of weight alone may not have great value for heart failure management.

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Year:  2009        PMID: 19252210     DOI: 10.1093/eurjhf/hfp033

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


  46 in total

1.  Telemonitoring for heart failure: the only feasible option for good universal care?

Authors:  John G F Cleland; Christian Lewinter; Kevin M Goode
Journal:  Eur J Heart Fail       Date:  2009-03       Impact factor: 15.534

2.  Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography.

Authors:  Varol Burak Aydemir; Supriya Nagesh; Md Mobashir Hasan Shandhi; Joanna Fan; Liviu Klein; Mozziyar Etemadi; James Alex Heller; Omer T Inan; James M Rehg
Journal:  IEEE Trans Biomed Eng       Date:  2019-08-15       Impact factor: 4.538

3.  A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure.

Authors:  Fatemeh Fahimi; Yang Guo; Shao Chuen Tong; Angela Ng; Sharon Ong Yu Bing; Bryan Choo; Huang Weiliang; Sheldon Lee; Savitha Ramasamy; Wai Leng Chow; Oh Hong Choon; Pavitra Krishnaswamy
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

Review 4.  Systolic heart failure: knowledge gaps, misconceptions, and future directions.

Authors:  Rohan Samson; Rohit Ramachandran; Thierry H Le Jemtel
Journal:  Ochsner J       Date:  2014

5.  A retrospective study on patient characteristics and telehealth alerts indicative of key medical events for heart failure patients at a home health agency.

Authors:  Kavita Radhakrishnan; Kathryn Bowles; Alexandra Hanlon; Maxim Topaz; Jesse Chittams
Journal:  Telemed J E Health       Date:  2013-06-28       Impact factor: 3.536

Review 6.  Implantable cardiovascular sensors and computers: interventional heart failure strategies.

Authors:  Sakima A Smith; William T Abraham
Journal:  Curr Cardiol Rep       Date:  2012-10       Impact factor: 2.931

Review 7.  Implantable Hemodynamic Monitoring in Ambulatory Heart Failure: Who, When, Why, How?

Authors:  Akshay S Desai
Journal:  Curr Cardiol Rep       Date:  2015-12       Impact factor: 2.931

Review 8.  Trials of implantable monitoring devices in heart failure: which design is optimal?

Authors:  William T Abraham; Wendy G Stough; Ileana L Piña; Cecilia Linde; Jeffrey S Borer; Gaetano M De Ferrari; Roxana Mehran; Kenneth M Stein; Alphons Vincent; Jay S Yadav; Stefan D Anker; Faiez Zannad
Journal:  Nat Rev Cardiol       Date:  2014-08-12       Impact factor: 32.419

Review 9.  Effective technologies for noninvasive remote monitoring in heart failure.

Authors:  Aaron Conway; Sally C Inglis; Robyn A Clark
Journal:  Telemed J E Health       Date:  2014-04-14       Impact factor: 3.536

10.  Weight change in heart failure inpatients not associated with 30-day readmission.

Authors:  Michael G Nanna; Alexander E Sullivan; Vlada Bazylevska; Risa L Wong; Terrence E Murphy; Lavanya Bellumkonda; Robert L McNamara
Journal:  Future Cardiol       Date:  2020-04-14
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