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Use of Right Ventricular Free-Wall Strain in a Multivariable Estimate of Right Ventricular-Arterial Coupling in Pediatric Pulmonary Arterial Hypertension

2024· article· en· W4405464614 on OpenAlexaff
Charles T. Simpkin, D. Dunbar Ivy, Mark K. Friedberg, Dale A. Burkett

Bibliographic record

VenueCirculation Cardiovascular Imaging · 2024
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsHospital for Sick Children
FundersNational Heart, Lung, and Blood InstituteU.S. Department of Veterans Affairs
KeywordsMedicineCardiologyInternal medicinePulmonary hypertensionPulmonary arteryAfterloadVascular resistanceHemodynamics

Abstract

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BACKGROUND: Right ventricular-arterial coupling (RVAC) describes the relationship between right ventricular contractility and pulmonary vascular afterload. Noninvasive surrogates for RVAC using echocardiographic estimates of right ventricular function, such as tricuspid annular plane systolic excursion (TAPSE), have been shown to correlate with invasively measured RVAC and predict clinical outcomes in pediatric pulmonary arterial hypertension. However, given the limitations of TAPSE at accurately estimating right ventricular function in children, we hypothesized that a multivariable estimate of RVAC using right ventricular free-wall longitudinal strain (RVFW-LS) may perform better than those utilizing TAPSE at predicting clinical outcomes. METHODS: In all, 108 children from 2 institutions with pulmonary arterial hypertension underwent hemodynamic catheterization with simultaneous echocardiography. In a retrospective analysis, hybrid (echo and invasive) RVAC metrics included TAPSE/pulmonary vascular resistance (PVRi) and RVFW-LS/PVRi. Noninvasive echocardiographic metrics were TAPSE/echo-derived pulmonary artery systolic pressure (PASP) and RVFW-LS/PASP. RESULTS: RVFW-LS correlated with PVRi (r=0.315, P =0.01), though TAPSE did not (r=0.058, P =0.64). PVRi, PASP, and RVAC metrics declined in patients with worse World Health Organization Functional Class (n=108), while TAPSE and RVFW-LS did not. PVRi, PASP, RVFW-LS/PVRi, TAPSE/PVRi, and RVFW-LS/PASP predicted the outcome variable of transplant or death (area under the curve, 0.771 [ P <0.001], 0.729 [ P =0.004], 0.748 [ P =0.002], 0.732 [ P =0.009], and 0.714 [ P =0.01], respectively), while TAPSE/PASP, RVFW-LS, and TAPSE did not (area under the curve, 0.671, 0.603, and 0.525, respectively). In patients without a history of repaired congenital heart disease (n=88), only RVFW-LS/PASP, PVRi, PASP, and RVFW-LS/PVRi predicted outcomes (area under the curve, 0.738 [ P =0.002], 0.729 [ P =0.01], 0.729 [ P =0.01], and 0.729 [ P =0.015], respectively). CONCLUSIONS: In the pediatric population, baseline PVRi and echo-estimated PASP were strongly associated with adverse clinical outcomes, but TAPSE and RVFW-LS were not. Estimates of RVAC utilizing RVFW-LS were superior to those utilizing TAPSE—however, only marginally additive to PASP and PVRi at predicting the adverse clinical outcome in patients without a history of repaired congenital heart disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.259
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2024
Admission routes1
Has abstractyes

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