Impact of early surgical correction or palliation of congenital heart defects in infants with symptomatic viral respiratory tract infections in the current era
Bibliographic record
Abstract
Objective This study investigates the influence of timing of surgery among infants with congenital heart disease and active respiratory tract infections in a contemporary Western Canadian cohort. Methods This was a retrospective matched cohort study of infants aged 1 week to 6 months undergoing surgical repair of congenital heart disease between 2014 and 2017. Case patients had active respiratory tract infections preoperatively and were matched to control patients based on primary heart lesion. The primary outcome was time to extubation. Results We identified 20 cases (median age, 3.4 months [range, 2.4-4.3 months]) that were matched to 40 controls (1:2 ratio). In case patients, surgery occurred at a median of 1 day after the positive viral testing. There were no statistically significant differences between cases and controls in time to extubation (59 vs 34 hours [ P = .12]), postoperative vasoactive scores at 24 hours (0 vs 0 [ P = .53]), 48 hours (0 vs 0 [ P = .23]), maximum vasoactive score in postoperative period (5 vs 5.5 [ P = .54]), or time to hospital discharge (13 vs 12 days [ P = .39]). Case patients had increased duration of total respiratory support (including noninvasive ventilation, 3.5 vs 2 days [ P = .02]) and postoperative intensive care unit length of stay (5.5 vs 3 days [ P = .01]). Conclusions Cardiac surgery on infants with congenital heart disease during an acute viral respiratory tract infection may yield a clinically relevant prolongation in time to extubation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".