Evidence map›Paper›PMID 38672072›Full record

ArticleBiomedicines2024

Artificial Intelligence Applied to Electrical and Non-Invasive Hemodynamic Markers in Elderly Decompensated Chronic Heart Failure Patients.

Gianfranco Piccirillo, Federica Moscucci, Martina Mezzadri, Cristina Caltabiano, Giovanni Cisaria, Guendalina Vizza, Valerio De Santis, Marco Giuffrè, Sara Stefano, Claudia Scinicariello and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

15 authors at 2 institutions in 1 country.

Gianfranco PiccirilloDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Federica MoscucciDepartment of Internal Medicine and Medical Specialties, Policlinico Umberto I, Viale del Policlinico, 155, 00161 Rome, Italy.ORCID 0000-0002-9385-9097
Martina MezzadriDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Cristina CaltabianoDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Giovanni CisariaDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Guendalina VizzaDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Valerio De SantisDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Marco GiuffrèDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Sara StefanoDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Claudia ScinicarielloDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.ORCID 0009-0004-5074-0469
Myriam CarnovaleDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Andrea CorraoDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.
Ilaria LospinusoDepartment of Internal Medicine and Medical Specialties, Policlinico Umberto I, Viale del Policlinico, 155, 00161 Rome, Italy.
Susanna SciomerDepartment of Internal and Clinical Medicine, Anesthesiology and Cardiovascular Sciences, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy.ORCID 0000-0001-9487-833X
Pietro RossiArrhythmology Unit, Fatebenefratelli Hospital, Isola Tiberina-Gemelli Isola, 00186 Rome, Italy.ORCID 0000-0001-8930-5609
Policlinico Umberto I · ITFatebenefratelli Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe first aim of this study was to assess the predictive power of Tend interval (Te) and non-invasive hemodynamic markers, based on bioimpedance in decompensated chronic heart failure (CHF). The second one was to verify the possible differences in repolarization and hemodynamic data between CHF patients grouped by level of left ventricular ejection fraction (LVEF). Finally, we wanted to check if repolarization and hemodynamic data changed with clinical improvement or worsening in CHF patients.

methodsTwo hundred and forty-three decompensated CHF patients were studied by 5 min ECG recordings to determine the mean and standard deviation (Te

resultsTotal in-hospital and cardiovascular mortality rates were respectively 19 and 9%. Te was higher in the deceased than in surviving subjects (Te: 120 ± 28 vs. 100 ± 25 ms) and multivariable logistic regression analysis reported that Te was related to an increase of total (χ

conclusionElectrical signals from ECG and bioimpedance were capable of monitoring the patients with advanced decompensated CHF. These simple, inexpensive, non-invasive, easily repeatable, and transmissible markers could represent a tool to remotely monitor and to intercept the possible worsening of these patients early by machine learning and artificial intelligence tools.

Indexed as

advanced heart failurebioimpedance cardiographymortalityQTQT variabilitytemporal dispersion of repolarization phaseTpeak-Tend

Identifiers

PMID38672072
PMCPMC11048014
OpenAlexW4393144980

What OpenQuestion holds

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Registered trials

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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.