Prolonged Central Venous Desaturation Measured by Continuous Oximetry Is Associated with Adverse Outcomes in Pediatric Cardiac Surgery
Bibliographic record
Abstract
BACKGROUND: The role of continuous central venous oxygen saturation (ScvO₂) oximetry during pediatric cardiac surgery for predicting adverse outcomes is not known. Using a recently available continuous ScvO₂ oximetry catheter, we examined the association between venous oxygen desaturations and patient outcomes. We hypothesized that central venous oxygen desaturations are associated with adverse clinical outcomes. METHODS: Fifty-four pediatric patients undergoing cardiac surgery were prospectively enrolled in an unblinded observational study. ScvO₂ was measured continuously in the operating room and for up to 24 h post-Intensive Care Unit admission. The relationships between ScvO₂ desaturations, clinical outcomes, and major adverse events were determined. RESULTS: More than 18 min of venous saturations less than 40% were associated with major adverse events with 100% sensitivity and 97.6% specificity. Significant correlations resulted between the ScvO₂ area under the curve less than 40% and creatinine clearance at 12 h in the Intensive Care Unit (r = -0.58), Intensive Care Unit length of stay (r = 0.56), max inotrope use (r = 0.52), inotrope use at 24 h (r = 0.40), inotrope index score (r = 0.39), hospital length of stay (r = 0.36), and length of intubation (r = 0.32). CONCLUSIONS: We demonstrate that ScvO₂ desaturations by continuous oximetry are associated with major adverse events in pediatric patients undergoing cardiac surgery. The most significant associations with major adverse events are seen in patients with greater than 18 min of central venous saturations less than 40%. Our results support the further investigation of ScvO₂ as a potential target parameter in high-risk pediatric patients to minimize the risk of major adverse events.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".