PC.40 Assessment of Myocardial Performance using Novel Echocardiography Markers in Infants less than 29 Weeks Gestation during the Transitional Period
Bibliographic record
Abstract
Introduction Physiological changes of the preterm heart during the transitioning period are a challenging area to assess. Colour Tissue Doppler derived longitudinal strain (LS) and strain rate (SR) as well as tricuspid annulus plane systolic excursion (TAPSE) and fractional area change (FAC) are novel echocardiographic techniques for the assessment of left (LV) and Right (RV) ventricular function. We aimed to assess the feasibility and reliability of measuring these indices in preterm infants less than 29 weeks gestation during the transitioning period. Methods A prospective study was conducted on 54 preterm infants, with a mean (SD) gestation and birth weight of 26.7 (1.4) weeks and 954 (231) grams. LS, SR, conventional markers and novel RV markers were measured at a mean of 10 and 45 h of life. Reliability was assessed by using intra class correlation coefficient (ICC) and Bland-Altman Analysis. Results Despite no significant change in conventional markers such as shortening fraction or ejection fraction, there was a significant increase in septal SR(-1.6 to -1.8, p = 0.002) and SRE(1.7 to 2.2, p = 0.002) across the two time points. RV function parameters including SR, SRA, TAPSE, and FAC demonstrated a significant increase across the two time points. Septal and RV function and dimension parameters demonstrated excellent reliability results. Conclusion Myocardial deformation including strain, strain rate was as well as RV markers and dimensions were feasible in infants less than 29 weeks gestation. Significant changes were seen using novel echocardiographic markers over the transitional period.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| 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".