Increased Global Post‐Systolic Contraction During 1st Interstage Predicts Medium‐Term Death or Transplantation in Children With Hypoplastic Left Heart Syndrome
Bibliographic record
Abstract
BACKGROUND: Echocardiography parameters of right ventricular (RV) dysfunction, fractional area change (RVFAC), and global longitudinal strain during the first interstage have been shown to be associated with death or transplantation in patients with HLHS. However, both parameters lack adequate discriminatory characteristics. This study sought to examine global post-systolic contraction (PSC), a marker of myocardial inefficiency, as a predictor of death or transplantation (Tx) in patients with classic hypoplastic left heart syndrome (HLHS). METHODS: We performed a post-hoc analysis of 62 prospectively recruited patients with HLHS prior to the bidirectional cavopulmonary anastomosis (BCPA) surgery. We measured RV function parameters: RVFAC, global longitudinal strain, strain rate, mechanical dispersion index (MDI), and PSC. For each parameter, the receiver operating characteristic analysis determined the optimal cut-offs for the primary endpoint of death/Tx, followed by a Kaplan-Meier analysis. Parameters interobserver variability testing was performed. RESULTS: Median follow-up from pre-BCPA echocardiogram was 7.4 years. HLHS with outcome of death/Tx (n = 14) had lower RVFAC, longitudinal strain and strain rate, and increased PSC when compared with survivors. PSC of >5% performed the best, with the greatest area under the curve 0.75, sensitivity 64% and specificity 83%, hazard ratio 5.54 (95% CI 1.63-18.66), for the primary endpoint of death/Tx. PSC and strain parameters had excellent reproducibility. CONCLUSION: Increased global post-systolic contraction during the first interstage is associated with an outcome of death or transplantation in the medium term follow up of patients with HLHS. PSC has a greater specificity and reproducibility than global longitudinal strain and RV FAC. Investigation into its use in clinical practice as a predictor of outcome is warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 0.000 |
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.
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 teacher head, 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".