Evidence map›Paper›PMID 35566751›Full record

ArticleJournal of clinical medicine2022

Association between the Right Ventricular Longitudinal Shortening Fraction and Mortality in Acute Respiratory Distress Syndrome Related to COVID-19 Infection: A Prospective Study.

Christophe Beyls, Camille Daumin, Alexis Hermida, Thomas Booz, Tristan Ghesquieres, Maxime Crombet, Nicolas Martin, Pierre Huette, Vincent Jounieaux, Hervé Dupont and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06456606 (The Effect of Prone Position on Right Ventricular Functions in CARDS), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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.

NCT06456606 completednot on this map

The Effect of Prone Position on Right Ventricular Functions in CARDS: is Survival Predictable When Evaluated Through Transesophageal Echocardiography?

Typeobservational_patient_registrySponsorBakirkoy Dr. Sadi Konuk Research and Training HospitalRan2022 to 2022Enrolled30ConditionsARDS Due to Disease Caused by SARS Co-V-2, Right Ventricular DysfunctionArmsbefore prone position, the first hour of prone position, the first hour of returning to the supine position
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  5. 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

12 authors at 1 institution in 1 country.

Christophe BeylsDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.ORCID 0000-0001-8949-7348
Camille DauminDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.
Alexis HermidaDepartment of Cardiology, Amiens University Hospital, F-80054 Amiens, France.
Thomas BoozDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.
Tristan GhesquieresDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.
Maxime CrombetDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.
Nicolas MartinDepartment of Cardiology, Amiens University Hospital, F-80054 Amiens, France.
Pierre HuetteDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.
Vincent JounieauxRespiratory Department, Amiens University Hospital, F-80054 Amiens, France.ORCID 0000-0003-2131-6429
Hervé DupontDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.ORCID 0000-0002-5644-3412
Osama Abou-ArabDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.ORCID 0000-0003-3766-716X
Yazine MahjoubDepartment of Anesthesiology and Critical Care Medicine, Amiens University Hospital, F-80054 Amiens, France.
Centre Hospitalier Universitaire Amiens-Picardie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Right ventricular systolic dysfunction (RVsD) increases acute respiratory distress syndrome mortality in COVID-19 infection (CARDS). The RV longitudinal shortening fraction (RV-LSF) is an angle-independent and automatically calculated speckle-tracking parameter. We explored the association between RV-LSF and 30-day mortality in CARDS patients. Methods: Moderate-to-severe CARDS patients hospitalized at Amiens University Hospital with transesophageal echocardiography performed within 48 h of intensive care unit admission were included. RVsD was defined by an RV-LSF of <20%. The patients were divided into two groups according to the presence of RVsD. Using multivariate Cox regression, clinical and echocardiographic risk factors predicting 30-day mortality were evaluated. Results: Between 28 February 2020 and 1 December 2021, 86 patients were included. A total of 43% (n = 37/86) of the patients showed RVsD and 22% (n = 19/86) of the patients died. RV-LSF was observed in 26 (23.1−29.7)% of the no-RVsD function group and 16.5 (13.7−19.4)% (p < 0.001) of the RVsD group. Cardiogenic shock (n = 7/37 vs. 2/49, p = 0.03) and acute cor pulmonale (n = 18/37 vs. 10/49, p = 0.009) were more frequent in the RVsD group. The 30-day mortality was higher in the RVsD group (15/37 vs. 4/49, p = 0.001). In a multivariable Cox model, RV-LSF was an independent mortality factor (HR 4.45, 95%CI (1.43−13.8), p = 0.01). Conclusion: in a cohort of moderate-to-severe CARDS patients under mechanical ventilation, RVsD defined by the RV-LSF was associated with higher 30-day mortalities.

Indexed as

ARDSCOVID-19right ventricleRV-LSFspeckle-tracking

Identifiers

PMID35566751
PMCPMC9103975
OpenAlexW4229023657

What OpenQuestion holds

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Registered trials

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.