Evidence map›Paper›PMID 37488167›Full record

ArticleScientific reports2023

Myocardial strain-curve deformation patterns after Fontan operation.

Michal Schäfer, Max B Mitchell, Benjamin S Frank, Alex J Barker, Matthew L Stone, James Jaggers, Johannes C von Alvensleben, Kendall S Hunter, Richard M Friesen, D Dunbar Ivy and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Ventricular dyssynchrony late after the Fontan operation is associated with decreased survival.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    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

12 authors.

Michal SchäferDivision of Pediatric Cardiology, Children's Hospital Colorado, Heart Institute, University of Colorado Denver, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA. michal.schafer@cuanschutz.edu.
Max B MitchellDivision of Cardiothoracic Surgery, Children's Hospital Colorado, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.
Benjamin S FrankDivision of Pediatric Cardiology, Children's Hospital Colorado, Heart Institute, University of Colorado Denver, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA.
Alex J BarkerDepartment of Radiology, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.
Matthew L StoneDivision of Cardiothoracic Surgery, Children's Hospital Colorado, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.
James JaggersDivision of Cardiothoracic Surgery, Children's Hospital Colorado, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.
Johannes C von AlvenslebenDivision of Pediatric Cardiology, Children's Hospital Colorado, Heart Institute, University of Colorado Denver, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA.
Kendall S HunterDepartment of Bioengineering, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.
Richard M FriesenDivision of Pediatric Cardiology, Children's Hospital Colorado, Heart Institute, University of Colorado Denver, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA.
D Dunbar IvyDivision of Pediatric Cardiology, Children's Hospital Colorado, Heart Institute, University of Colorado Denver, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA.
Roni JacobsenDivision of Pediatric Cardiology, Children's Hospital Colorado, Heart Institute, University of Colorado Denver, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA.
Michael V Di MariaDivision of Pediatric Cardiology, Children's Hospital Colorado, Heart Institute, University of Colorado Denver, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial deformation analysis by cardiac MRI (CMR) yielding global circumferential and longitudinal strain (GCS and GLS) is an increasingly utilized method to accurately quantify systolic function and predict clinical events in patients with Fontan circulation. The purpose of this study was to use principal component analysis (PCA) to investigate myocardial temporal deformation patterns derived from strain-time curves to learn about latent strain features beyond peak values. We conducted the study with specific attention to dominant single left or right ventricle (SLV and SRV) morphologies. Methods and Results: Patients remote from Fontan operation who underwent follow-up CMR were analyzed for standard volumetric and function hemodynamics including myocardial deformation parameters including GCS and GLS. We applied PCA to investigate in an unbiased fashion the strain-time curve morphology and to calculate patient specific shape scores. All variables were subjected to single variable Cox regression analysis to detect composite clinical outcome including death, heart transplant, protein losing enteropathy and plastic bronchitis. A total of 122 patients, (SLV = 67, SRV = 55) with a mean age of 12.7 years underwent comprehensive CMR analysis. The PCA revealed 3 primary modes of strain-curve variation regardless of single ventricle morphology and type of strain investigated. Principle components (PCs) described changes in (1) strain-time curve amplitude, (2) time-to-peak strain, and (3) post-systolic slope of the strain-time curve. Considering only SLV patients, GCS was only CMR variable predictive of clinical events (HR 1.46, p = 0.020). In the SRV group, significant CMR predictors of clinical events were derived indexed end-diastolic (HR 1.02, p = 0.023) and end-systolic (HR 1.03, p = 0.022) volumes, GCS (HR 1.91, p = 0.003) and its related first component score (HR 1.20, p = 0.005), GLS (HR 1.32, p = 0.029) and its third component score (HR 1.58, p = 0.017). CMR derived global strain measures are sensitive markers of clinical outcomes in patients with Fontan circulation, particularly in patients with the SRV morphology. Myocardial strain-time curve morphology specific to SLV and SRV patients inspired by unbiased PCA technique can further aid with predicting clinical outcomes.

Indexed as

Fontan ProcedureHeart TransplantationChildHeart VentriclesHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMyocardiumPredictive Value of TestsVentricular Function, Left

Identifiers

PMID37488167
PMCPMC10366156

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