Abstract 14882: Outcomes of Heart Failure in Hypoplastic Left Heart Syndrome and the Impact of Recovery
Bibliographic record
Abstract
Introduction: Survival for children with hypoplastic left heart syndrome (HLHS) and right ventricular (RV) dysfunction (dysfxn) remain poor. We describe outcomes of HLHS patients with RV dysfxn and the long-term impact of interval normalization. Methods: The SickKids Heart Failure (HF) Database is a retrospective cohort of HF patients from 2001 to 2017. We included patients with HLHS and at least mild RV dysfxn on echocardiogram lasting >30 days, or death or transplant within 30 days of onset of dysfxn. We defined normalization as normal RV function (fxn) lasting > 30 days after dysfxn onset. The primary endpoint was death or transplant. Descriptive statistics and time to event analysis were used. Results: We identified 99 patients with a median (IQR) age at onset of dysfxn of 2.6 (1 - 5.3) months. Of these, 51 (52%) had normalization of RV fxn for a median (IQR) duration of 3.5 (0.8 - 9.1) years and 28 (55%) had multiple periods of normal fxn. Of those who normalized, 4 (8%) normalized within a few months post Glenn procedure and 6 (13%) had normal fxn at last follow up. Patients with and without normalization had similar frequency of severe dysfxn (41 vs 52%, p=0.6). Normalization of RV fxn correlated with improved transplant free survival (78 % vs. 14 %, p<0.001, Figure 1C) independent of surgical stage (p=0.03, figure 1D). Table 1 shows risk factors independently associated with transplant-free survival, including angiotensin converting enzyme inhibition. Conclusions: HLHS patients with RV dysfxn have poor transplant-free survival, especially those at interstage, but outcomes improve in those with persistent normalization of fxn. Factors predicting normalization need further study
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".