Neurotoxicity of sedative and analgesia drugs in young infants with congenital heart disease: 4‐year follow‐up
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES/AIM: To determine whether sedation/analgesia drugs used before, during, and after infant cardiac surgery are associated with neurocognitive and functional outcomes. BACKGROUND: Some animal models suggest neurotoxic effects of anesthetic drugs on the developing brain; however, potential human effects are unknown. Whether these results can be extrapolated to humans is unknown. METHODS/MATERIALS: Prospective follow-up project of all infants ≤6 weeks old having surgery for congenital heart disease between 04/03 and 12/06. Demographic, perioperative, and sedation/analgesia variables were collected. Outcomes at kindergarten age were Wechsler Preschool and Primary Scale of Intelligence-III, Beery-Buktenica Developmental Test of Visual Motor Integration (VMI-V), and General Adaptive Composite (GAC) of the Adaptive Behavior Assessment System-II. Multivariable linear regression was used to identify predictor variables. RESULTS: From 135 infants who underwent heart surgery, 19 died, 17 were excluded, 8 were lost to follow-up, leaving 91 children for analysis. Multiple linear regression found days on chloral hydrate [3.5 (3.7) days] was associated with lower performance intelligence quotient (PIQ) (Effect size -1.03; 95% CI -1.96, -0.10; P = 0.03), and cumulative dose [54.2 (60.3) mg·kg(-1) ] of benzodiazepines was associated with lower VMI scores (Effect size -0.07; 95% CI -0.12, -0.01; P = 0.026). No other associations were found between sedation/analgesia variables and full-scale IQ, PIQ, Verbal IQ, VMI, or GAC. CONCLUSION: Assessment of this cohort at kindergarten age found a small statistically significant association between days on chloral hydrate and PIQ, and benzodiazepine cumulative dose and lower VMI. No other association between sedation/analgesia drugs and outcomes was found.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it