Prevalence of Sepsis as Defined by Phoenix Sepsis Definition Among Children With COVID-19
Bibliographic record
Abstract
INTRODUCTION: A retrospective cohort study on patients aged < 18 years included in the Society of Critical Care Medicine: Viral Infection and Respiratory Illness Universal Study registry from March 2020 to April 2024 with an objective of calculating the prevalence of sepsis as defined by the Phoenix Sepsis Score (PSS) and to validate the PSS with respect to outcomes in children with COVID-19. METHODS: Linear mixed-effects regression was used to examine the relationship between the PSS and hospital length of stay after controlling for confounding factors. The performance of the PSS was assessed using the receiver operating characteristic (ROC) and the precision-recall curve (PRC). Cross-validation was performed using leave-one-out cross-validation. RESULTS: Out of 1731 patients (58 hospitals), 326 (18.8%) met criteria for sepsis and 167 (9.7%) for septic shock. The overall mortality was 1.4% (25/1731), with significant differences between nonseptic (10/1405, 0.7%) and both sepsis (15/326, 4.6%) and septic shock (9/167, 5.4%) groups. After adjusting for confounders, the septic group was associated with a longer hospital length of stay than the nonseptic group. One unit increase in the numeric PSS led to a 70% increase in risk of mortality (odds ratio 1.70; P < .001). The area under the ROC curve was 0.80 and the area under the PRC curve was 0.13. The threshold of ≥ 2 for detection of mortality had a sensitivity of 0.63, specificity of 0.82, and positive predictive value of 0.05. CONCLUSION: Phoenix Sepsis Criteria retain its validity in identifying sepsis in children with COVID-19 and can be used in further epidemiological studies in this population.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".