CoChat
Sign Up
Cited by 700Heart Failure Treatment and ManagementTelemedicine and Telehealth ImplementationCardiac pacing and defibrillation studies

Noninvasive Home Telemonitoring for Patients With Heart Failure at High Risk of Recurrent Admission and Death

Open access
Cleland, John G.F., Louis, Amala A., Rigby, Alan S., Janssens, Uwe, Balk, Aggie H.M.M.·2005·Journal of the American College of Cardiology
DOI 10.1016/j.jacc.2005.01.050
Open this paper in CoChat — free account

Abstract

Objectives We sought to identify whether home telemonitoring (HTM) improves outcomes compared with nurse telephone support (NTS) and usual care (UC) for patients with heart failure who are at high risk of hospitalization or death.Background Heart failure is associated with a high rate of hospitalization and poor prognosis. Telemonitoring could help implement and maintain effective therapy and detect worsening heart failure and its cause promptly to prevent medical crises.Methods Patients with a recent admission for heart failure and left ventricular ejection fraction (LVEF) <40% were assigned randomly to HTM, NTS, or UC in a 2:2:1 ratio. HTM consisted of twice-daily patient self-measurement of weight, blood pressure, heart rate, and rhythm with automated devices linked to a cardiology center. The NTS consisted of specialist nurses who were available to patients by telephone. Primary care physicians delivered UC. The primary end point was days dead or hospitalized with NTS versus HTM at 240 days.Results Of 426 patients randomly assigned, 48% were aged >70 years, mean LVEF was 25% (SD, 8) and median plasma N-terminal pro-brain natriuretic peptide was 3,070 pg/ml (interquartile range 1,285 to 6,749 pg/ml). During 240 days of follow-up, 19.5%, 15.9%, and 12.7% of days were lost as the result of death or hospitalization for UC, NTS, and HTM, respectively (no significant difference). The number of admissions and mortality were similar among patients randomly assigned to NTS or HTM, but the mean duration of admissions was reduced by 6 days (95% confidence interval 1 to 11) with HTM. Patients randomly assigned to receive UC had higher one-year mortality (45%) than patients assigned to receive NTS (27%) or HTM (29%) (p = 0.032).Conclusions Further investigation and refinement of the application of HTM are warranted because it may be a valuable role for the management of selected patients with heart failure.

Integrity signals

Registry

Crossref · 10.1016/j.jacc.2005.01.050

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The TEN-HMS, TIM-HF and BEAT-HF trials showed that a remote telemonitoring intervention did not reduce heart failure hospitalizations and all-cause mortality.

    “TEN-HMS, TIM-HF and BEAT-HF trials showed that a remote telemonitoring intervention did not reduce HF hospitalizations and all-cause mortality68–70”

    From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [68]

  • In the TEN-HMS trial, there were no significant differences in days lost owing to hospitalization or death compared with nurse telephone support or usual care at 240 days, although the telemonitoring group had a lower mean duration of hospital admission by 6 days.

    “The TEN-HMS home telemonitoring trial68 used wearable and non-wearable non-invasive monitors (home BP monitor, weigh scale and single-lead ECG on a wrist band) in patients with an LVEF of <40% and a recent hospital admission for HF and showed no significant differences in days lost owing to hospitalization or death compared with nurse telephone support or usual care at 240 days, although the tele”

    From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [68]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Cleland, J. G. F., Louis, A. A., Rigby, A. S., Janssens, U., & Balk, A. H. M. M.
Affiliations
  • University of Hull (GB)
  • Universitätsklinikum Aachen (DE)
  • Erasmus MC (NL)
Corresponding author
Cleland, John G.F.
ORCID
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2005-05
Volume
45
Issue
10
Pages
1654-1664
ISSN
0735-1097 (ISSN-L)
DOI
10.1016/j.jacc.2005.01.050
OpenAlex
W2109685502
Cited by
700
References
20
Citations by year
2026: 8 · 2025: 15 · 2024: 24 · 2023: 20 · 2022: 36 · 2021: 33 · 2020: 24 · 2019: 22 · 2018: 26 · 2017: 29 · 2016: 19 · 2015: 34 · 2014: 42 · 2013: 46 · 2012: 51
FWCI
29.17
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • RWTH Publications (RWTH Aachen) (submittedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
Keywords
heart failure, home health monitoring, hospital readmission, mortality, left ventricular ejection fraction, N-terminal pro-brain natriuretic peptide, telemedicine
MeSH terms
Aged, Cardiac Output, Low, Equipment Design, Europe, Female, Heart Failure, Hemodynamics, Humans, Male, Middle Aged, Nerve Tissue Proteins, Nurse Clinicians, Nursing Diagnosis, Patient Readmission, Peptide Fragments, Primary Health Care, Risk, Telephone, Survival Rate, Telemedicine, Ventricular Dysfunction, Left, Monitoring, Ambulatory, Natriuretic Peptide, Brain

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review