Evidence map›Paper›PMID 39137030›Full record

ArticleJMIR cardio2024

Evaluation of a New Telemedicine System for Early Detection of Cardiac Instability in Patients With Chronic Heart Failure: Real-Life Out-of-Hospital Study.

Jean Marie Urien, Emmanuelle Berthelot, Pierre Raphael, Thomas Moine, Marie Emilie Lopes, Patrick Assayag, Patrick Jourdain

Abstract read
In one paragraph

Article in JMIR cardio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jean Marie UrienCHU Bicêtre, Le Kremlin Bicêtre, France.ORCID https://orcid.org/0009-0002-3752-9349
Emmanuelle BerthelotCHU Bicêtre, Le Kremlin Bicêtre, France.ORCID https://orcid.org/0000-0002-0418-3110
Pierre RaphaelInstitut du cœur saint Gatien, Tours, France.ORCID https://orcid.org/0009-0002-4900-9690
Thomas MoineClinique Saint Gatien, Tours, France.ORCID https://orcid.org/0009-0000-6211-5717
Marie Emilie LopesInstitut du cœur saint Gatien, Tours, France.ORCID https://orcid.org/0009-0003-2339-4719
Patrick AssayagCHU Bicêtre, Le Kremlin Bicêtre, France.ORCID https://orcid.org/0000-0001-9406-4555
Patrick JourdainCHU Bicêtre, Le Kremlin Bicêtre, France.ORCID https://orcid.org/0000-0002-5202-6902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor a decade, despite results from many studies, telemedicine systems have suffered from a lack of recommendations for chronic heart failure (CHF) care because of variable study results. Another limitation is the hospital-based architecture of most telemedicine systems. Some systems use an algorithm based on daily weight, transcutaneous oxygen measurement, and heart rate to detect and treat acute heart failure (AHF) in patients with CHF as early on as possible.

objectiveThe aim of this study is to determine the efficacy of a telemonitoring system in detecting clinical destabilization in real-life settings (out-of-hospital management) without generating too many false positive alerts.

methodsAll patients self-monitoring at home using the system after a congestive AHF event treated at a cardiology clinic in France between March 2020 and March 2021 with at least 75% compliance on daily measurements were included retrospectively. New-onset AHF was defined by the presence of at least 1 of the following criteria: transcutaneous oxygen saturation loss, defined as a transcutaneous oxygen measurement under 90%; rise of cardiac frequency above 110 beats per minute; weight gain of at least 2 kg; and symptoms of congestive AHF, described over the phone. An AHF alert was generated when the criteria reached our definition of new-onset acute congestive heart failure (HF).

resultsA total of 111 consecutive patients (n=70 men) with a median age of 76.60 (IQR 69.5-83.4) years receiving the telemonitoring system were included. Thirty-nine patients (35.1%) reached the HF warning level, and 28 patients (25%) had confirmed HF destabilization during follow-up. No patient had AHF without being detected by the telemonitoring system. Among incorrect AHF alerts (n=11), 5 patients (45%) had taken inaccurate measurements, 3 patients (27%) had supraventricular arrhythmia, 1 patient (9%) had a pulmonary bacterial infection, and 1 patient (9%) contracted COVID-19. A weight gain of at least 2 kg within 4 days was significantly associated with a correct AHF alert (P=.004), and a heart rate of more than 110 beats per minute was more significantly associated with an incorrect AHF alert (P=.007).

conclusionsThis single-center study highlighted the efficacy of the telemedicine system in detecting and quickly treating cardiac instability complicating the course of CHF by detecting new-onset AHF as well as supraventricular arrhythmia, thus helping cardiologists provide better follow-up to ambulatory patients.

Indexed as

ageingagingambulatory patientambulatory patientsappapplicationapplicationsappscardiologyCHFchronic heart failuredetectione-deviceeffectivenesselderelderlyfollow-upFrancegeriatricgeriatricsgerontologyheart diseaseheart failurehome-basedmenmHealthmobile healtholder adultolder adultsolder manreal-life settingremote monitoringtelecardiologytelemedicine systemTwoCan Pulsevirtual monitoring

Identifiers

PMID39137030
PMCPMC11350300

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.