Evidence map›Paper›PMID 37919787›Full record

Observational studyCritical care (London, England)2023

Diagnostic, prognostic and clinical value of left ventricular radial strain to identify paradoxical septal motion in ventilated patients with the acute respiratory distress syndrome: an observational prospective multicenter study.

Bruno Evrard, Jean-Baptiste Woillard, Annick Legras, Misylias Bouaoud, Maeva Gourraud, Antoine Humeau, Marine Goudelin, Philippe Vignon

Open access · goldAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

8 authors at 2 institutions in 1 country.

Bruno EvrardMedical-Surgical ICU, Dupuytren Teaching Hospital, 87000, Limoges, France. bruno.evrard@chu-limoges.fr.ORCID 0000-0003-1829-4927
Jean-Baptiste WoillardInserm CIC 1435, Dupuytren Teaching Hospital, 87000, Limoges, France.
Annick LegrasIntensive Care Unit, Tours Teaching Hospital, Tours, France.
Misylias BouaoudIntensive Care Unit, Tours Teaching Hospital, Tours, France.
Maeva GourraudIntensive Care Unit, Tours Teaching Hospital, Tours, France.
Antoine HumeauPharmacology & Transplantation, INSERM U1248, University of Limoges, Limoges, France.
Marine GoudelinMedical-Surgical ICU, Dupuytren Teaching Hospital, 87000, Limoges, France.
Philippe VignonMedical-Surgical ICU, Dupuytren Teaching Hospital, 87000, Limoges, France.ORCID 0000-0003-4551-5772
Inserm · FRCentre Hospitalier Universitaire de Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute cor pulmonale (ACP) is prognostic in patients with acute respiratory distress syndrome (ARDS). Identification of paradoxical septal motion (PSM) using two-dimensional echocardiography is highly subjective. We sought to describe feature-engineered metrics derived from LV radial strain changes related to PSM in ARDS patients with ACP of various severity and to illustrate potential diagnostic and prognostic yield.

methodsThis prospective bicentric study included patients under protective ventilation for ARDS related to COVID-19 who were assessed using transesophageal echocardiography (TEE). Transgastric short-axis view at mid-papillary level was used to visually grade septal motion, using two-dimensional imaging, solely and combined with LV radial strain: normal (grade 0), transient end-systolic septal flattening (grade 1), prolonged end-systolic septal flattening or reversed septal curvature (grade 2). Inter-observer variability was calculated. Feature engineering was performed to calculate the time-to-peak and area under the strain curve in 6 LV segments. In the subset of patients with serial TEE examinations, a multivariate Cox model analysis accounting for new-onset of PSM as a time-dependent variable was used to identify parameters associated with ICU mortality.

resultsOverall, 310 TEE examinations performed in 182 patients were analyzed (age: 67 [60-72] years; men: 66%; SAPSII: 35 [29-40]). Two-dimensional assessment identified a grade 1 and grade 2 PSM in 100 (32%) and 48 (15%) examinations, respectively. Inter-rater reliability was weak using two-dimensional imaging alone (kappa = 0.49; 95% CI 0.40-0.58; p < 0.001) and increased with associated LV radial strain (kappa = 0.84, 95% CI 0.79-0.90, p < 0.001). The time-to-peak of mid-septal and mid-lateral segments occurred significantly later in systole and increased with the grade of PSM. Similarly, the area under the strain curve of these segments increased significantly with the grade of PSM, compared with mid-anterior or mid-inferior segments. Severe acute cor pulmonale with a grade 2 PSM was significantly associated with mortality. Requalification in an upper PSM grade using LV radial strain allowed to better identify patients at risk of death (HR: 6.27 [95% CI 2.28-17.2] vs. 2.80 [95% CI 1.11-7.09]).

conclusionsIn objectively depicting PSM and quantitatively assessing its severity, TEE LV radial strain appears as a valuable adjunct to conventional two-dimensional imaging.

Indexed as

Hypertension, PulmonaryPulmonary Heart DiseaseRespiratory Distress SyndromeVentricular Dysfunction, LeftAgedFemaleHumansMaleMiddle AgedPrognosisProspective StudiesReproducibility of ResultsRespiration, ArtificialCritical carePulmonary heart diseaseRespiratory distress syndromeTransesophageal echocardiography

Identifiers

PMID37919787
PMCPMC10623720
OpenAlexW4388218245

What OpenQuestion holds

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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.