Evidence map›Paper›PMID 38586866›Full record

ArticleResuscitation plus2024

Study of risk factors for injuries due to cardiopulmonary resuscitation with special focus on the role of the heart: A machine learning analysis of a prospective registry with multiple sources of information (ReCaPTa Study).

Silvia García-Vilana, Vikas Kumar, Saurav Kumar, Eneko Barberia, Inés Landín, Ester Granado-Font, Silvia Solà-Muñoz, Xavier Jiménez-Fàbrega, Alfredo Bardají, Bjarne Madsen Hardig and 1 more

Abstract read
In one paragraph

Article in Resuscitation plus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Silvia García-VilanaUniversitat Politècnica de Catalunya (UPC-EPSEVG), Grup de Recerca Aplicada en Biomecànica de l'Impacte (GRABI), Barcelona, Spain.
Vikas KumarEnvironmental Engineering Laboratory, Departament d' Enginyeria Quimica, Universitat Rovira i Virgili (URV), Tarragona, Spain.
Saurav KumarEnvironmental Engineering Laboratory, Departament d' Enginyeria Quimica, Universitat Rovira i Virgili (URV), Tarragona, Spain.
Eneko BarberiaInstitut de Medicina Legal i Ciencies Forenses de Catalunya (IMLCFC), Spain.
Inés LandínInstitut de Medicina Legal i Ciencies Forenses de Catalunya (IMLCFC), Spain.
Ester Granado-FontCentre d'Atenció Primària Horts de Miró (Reus-4), Institut Català de Salut, Reus, Spain.
Silvia Solà-MuñozInstitut d'Investigació Sanitària Pere i Virgili (IISPV), Tarragona. Spain.
Xavier Jiménez-FàbregaInstitut d'Investigació Sanitària Pere i Virgili (IISPV), Tarragona. Spain.
Alfredo BardajíFacultat de Ciencies Mèdiques, Universitat Rovira i Virgili (URV), Reus, Spain.
Bjarne Madsen HardigDepartment of Clinical Sciences, Helsingborg, Medical Faculty, Lund University, Sweden.
Youcef AzeliInstitut d'Investigació Sanitària Pere i Virgili (IISPV), Tarragona. Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The study of thoracic injuries and biomechanics during CPR requires detailed studies that are very scarce. The role of the heart in CPR biomechanics has not been determined. This study aimed to determine the risk factors importance for serious ribcage damage due to CPR. Methods: Data were collected from a prospective registry of out-of-hospital cardiac arrest between April 2014 and April 2017. This study included consecutive out-of-hospital CPR attempts undergoing an autopsy study focused on CPR injuries. Cardiac mass ratio was defined as the ratio of real to expected heart mass. Pearson's correlation coefficient was used to select clinically relevant variables and subsequently classification tree models were built. The Gini index was used to determine the importance of the associated serious ribcage damage factors. The LUCAS® chest compressions device forces and the cardiac mass were analyzed by linear regression. Results: Two hundred CPR attempts were included (133 manual CPR and 67 mechanical CPR). The mean age of the sample was 60.4 ± 13.5, and 56 (28%) were women. In all, 65.0% of the patients presented serious ribcage damage. From the classification tree build with the clinically relevant variables, age (0.44), cardiac mass ratio (0.26), CPR time (0.22), and mechanical CPR (0.07), in that order, were the most influential factors on serious ribcage damage. The chest compression forces were greater in subjects with higher cardiac mass. Conclusions: The heart plays a key role in CPR biomechanics being cardiac mass ratio the second most important risk factor for CPR injuries.

Indexed as

BiomechanicsCardiac arrestCardiopulmonary resuscitationHeartThoracic injuries

Identifiers

PMID38586866
PMCPMC10995644

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.