PC.39 Reliability of Myocardial Performance Assessment in Preterm Infants using Strain and Strain Rate: A comparison Between Left ventricular, Septal and Right ventricular Walls
Bibliographic record
Abstract
Objective To assess the reliability of longitudinal strain (LS) and strain rate (SR) in the very low birth weight infants. Design/Methods LS and SR were measured in infants less than 28 weeks corrected gestational age using colour tissue Doppler at the mid segment of the LV free wall, the intra-ventricular septum and RV free wall from the apical 4-chamber view. Intra and inter-observer reliability was assessed using intra class correlation coefficient (ICC) and Bland-Altman Analysis. Results 48 infants with a mean (SD) gestation and birth weight of 26.9(1.3) weeks and 959(230) grams underwent an echocardiogram at 11(5) hours of life. The RV and septal walls demonstrated superior bias and agreement when compared to the LV free wall. Abstract PC.39 Table Mean (SD) Intra-ob bias Mean (SD) Intra-ob ICC Inter-ob bias Mean (SD) Inter-ob ICC LV Strain (%) -13.0 (3.4) 0.05 (3.02) 0.43 -1.87 (3.03) 0.69 SR S` (1/s) -1.5 (0.5) 0.05 (0.24) 0.93 -0.18 (0.49) 0.81 SR E` (1/s) 1.9 (0.8) -0.03 (0.50) 0.80 -0.17 (0.41) 0.78 SR A` (1/s) 2.4 (0.7) 0.15 (0.85) 0.62 -0.25 (0.59) 0.85 Septum Strain (%) -15.8 (2.8) -0.12 (1.59) 0.95 -0.42 (1.53) 0.97 SR S` (1/s) -1.5 (0.3) 0.00 (0.12) 0.92 0.02 (0.20) 0.89 SR E` (1/s) 1.6 (0.6) 0.01 (0.20) 0.97 -0.05 (0.20) 0.98 SR A` (1/s) 2.3 (0.7) -0.01 (0.31) 0.95 -0.02 (0.40) 0.92 RV Strain (%) -21.9 (4.8) -1.58 (2.26) 0.94 1.60 (2.82) 0.92 SR S` (1/s) -2.0 (0.6) -0.13 (0.23) 0.93
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".