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ArticleFrontiers in physiology2022

Can Seismocardiogram Fiducial Points Be Used for the Routine Estimation of Cardiac Time Intervals in Cardiac Patients?

Zeynep Melike Işilay Zeybek, Vittorio Racca, Antonio Pezzano, Monica Tavanelli, Marco Di Rienzo

Open access · goldAbstract read
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Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Zeynep Melike Işilay ZeybekWeST Lab, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Vittorio RaccaCardiac Rehabilitation Unit, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Antonio PezzanoCardiac Rehabilitation Unit, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Monica TavanelliCardiac Rehabilitation Unit, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Marco Di RienzoWeST Lab, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Don Carlo Gnocchi Foundation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The indexes of cardiac mechanics can be derived from the cardiac time intervals, CTIs, i.e., the timings among the opening and closure of the aortic and mitral valves and the Q wave in the ECG. Traditionally, CTIs are estimated by ultrasound (US) techniques, but they may also be more easily assessed by the identification of specific fiducial points (FPs) inside the waveform of the seismocardiogram (SCG), i.e., the measure of the thorax micro-accelerations produced by the heart motion. While the correspondence of the FPs with the valve movements has been verified in healthy subjects, less information is available on whether this methodology may be routinely employed in the clinical practice for the monitoring of cardiac patients, in which an SCG waveform distortion is expected because of the heart dysfunction. In this study we checked the SCG shape in 90 patients with myocardial infarction (MI), heart failure (HF), or transplanted heart (TX), referred to our hospital for rehabilitation after an acute event or after surgery. The SCG shapes were classified as traditional (T) or non-traditional (NT) on whether the FPs were visible or not on the basis of nomenclature previously proposed in literature. The T shape was present in 62% of the patients, with a higher ∓ prevalence in MI (79%). No relationship was found between T prevalence and ejection fraction (EF). In 20 patients with T shape, we checked the FPs correspondence with the real valve movements by concomitant SCG and US measures. When compared with reference values in healthy subjects available in the literature, we observed that the Echo vs. FP differences are significantly more dispersed in the patients than in the healthy population with higher differences for the estimation of the mitral valve closure (-17 vs. 4 ms on average). Our results indicate that not every cardiac patient has an SCG waveform suitable for the CTI estimation, thus before starting an SCG-based CTI monitoring a preliminary check by a simultaneous SCG-US measure is advisable to verify the applicability of the methodology.

Indexed as

cardiac mechanicsheart failureheart transplantmyocardial infarctiontelemedicinetelerehabilitation

Identifiers

PMID35399285
PMCPMC8986454
OpenAlexW4220843894

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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.