Major morbidity and mortality associated with delays to emergent surgery in children: a risk-adjusted analysis
Bibliographic record
Abstract
<h3>Background:</h3> Delay of emergency surgery contributes to morbidity and mortality, and physiologic status affects outcomes of patients requiring emergent surgery. Our purpose was to determine whether delays to emergent surgery in children were associated with increased major morbidity or mortality in a risk-adjusted population. <h3>Methods:</h3> We performed a retrospective review of class 1 (≤ 60 min to operating room) surgical procedures from July 11, 2011, to July 30, 2016, at BC Children’s Hospital, Vancouver. Data sources included the operating room database, patient charts, American Society of Anesthesiologists classification, Neonatal Acute Physiology (SNAP II) and Pediatric Risk of Mortality (PRISM III) scores, time from booking to operating room and outcome. Patients were classified as being at low or high risk for death. We defined major morbidity as unintended loss of an organ, limb or function related to surgery, and delay to surgery as more than 60 minutes from booking to in room. We used the χ<sup>2</sup> test for univariate analysis and logistic regression for multivariate analysis. <h3>Results:</h3> There were 384 cases (367 patients), 223 high-risk and 161 low-risk. The median age was 4 years (range 0 d–18 yr). Overall, 184 cases (47.9%) were delayed. Major morbidity occurred in 94 cases (24.5%), and 28 patients (7.6%) (all in the high-risk group) died. The mean time to the operating room was 1.46 hours for patients with major morbidity/mortality and 1.17 hours for those without. After adjustment for risk level, multivariate analysis showed delay to surgery to be associated with 85% increased odds of morbidity and/or mortality (adjusted odds ratio 1.85, 95% confidence interval 1.20–2.94) compared to no delay. <h3>Conclusion:</h3> Delay to emergent surgery was associated with a significant increase in major morbidity and/or mortality. Children who require emergency surgery need their care prioritized by not only operating room teams but also hospitals and government; otherwise, they will continue to experience unintended consequences.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".