Abstract 17054: Genes Associated With Inotrope Requirements in Children Undergoing Tetralogy of Fallot Repair
Bibliographic record
Abstract
Introduction: Inotropes are used to prevent or treat postoperative low cardiac output syndrome. Common variants in adrenergic (ADR) signaling genes can influence inotrope response. We investigated association of both common and rare variants in ADR signaling genes with inotrope requirements in tetralogy of Fallot (TOF) patients undergoing surgical repair. Methods: Of 276 TOF eligible patients, 120 with complete 72 hour post-operative data were analyzed. All common and rare ( Results: Of 120 patients, 55 had high inotrope requirement (i.e. inotropes for >48hrs, doubling of dose, or initiation of additional inotrope). Mean CPB time was higher in the high-inotrope vs low inotrope group (128±58 vs 100±34 mins, p =0.002), as was ACC time (88±35 vs 76±25 mins, p=0.038). After adjusting for CPB and ACC time, high inotrope group had lower 24 hour mean blood pressures (p PPP1R13B, PPP1R3F, PPP1R3A ) belonged to the protein phosphatase-1 (PP1) family. PP1 is a critical negative regulator of Ca2+ cycling and contractility in cardiomyocytes and mediates inotropic response to β-adrenergic stimulation. Conclusions: There was considerable variability in inotrope requirements in children undergoing TOF repair. Variants in PP1 gene were associated with inotrope requirements. Genomic analysis on a larger cohort is underway to identify other pharmacogenetic variants that influence inotrope response. This may guide individualization of post-operative inotrope choices in the future.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".