Adult Admissions to a Canadian PICU during the COVID-19 Pandemic
Bibliographic record
Abstract
Introduction: In response to the burden of COVID-19 and overwhelmed ICU resources, some PICUs have had to adapt. The purpose of this study was to assess criticality, scope of diagnosis and outcomes of an adult cohort admitted to a Canadian PICU. Methods: A retrospective chart review was completed on all patients between 17-50 years admitted to the PICU between June 2020 and December 2021. Admission data included body mass index, admission Sequential Organ Failure Assessment score (SOFA), COVID-19 status, diagnosis and comorbidities. The duration of ventilatory support, PICU and hospital admission, mortality and discharge disposition were assessed. Discrete variables were reported as percentages and continuous data as means with standard deviations or medians with interquartile range. Results: Sixty-five adult patients were admitted to the PICU for a total of 437 days, with a mean SOFA score of 6.6 and overall mortality rate of 4.6%. Six patients were diagnosed with COVID-19 pneumonia, were admitted with a mean SOFA score of 11.8 and a body mass index of 38.3 kg/m2, and all were discharged to the ward. Conclusions: During the COVID-19 pandemic, pediatric intensivists in a Canadian PICU managed adult patients up to 50 years with high criticality and broad ranging diagnoses with a low mortality rate. PICUs may be a safe critical care decompression option for adult ICUs during future endemics or pandemics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".