Sepsis Prognostic Scores Accuracy in Predicting Adverse Outcomes in Children With Sepsis Admitted to the Pediatric Intensive Care Unit From the Emergency Department
Bibliographic record
Abstract
OBJECTIVE: To compare the performance of several prognostic scores calculated in the first 24 hours of admission (day 1) in predicting mortality and morbidity among critically ill children with sepsis presenting to the pediatric emergency department (PED) and then admitted to the pediatric intensive care unit (PICU). METHODS: Single-center, retrospective cohort study in children with a diagnosis of sepsis visiting the PED and then admitted to the PICU from January 1, 2010 to December 31, 2019. Sepsis organ dysfunction scores-pediatric Sequential Organ Failure Assessment (pSOFA) (Schlapbach, Matics, Shime), quickSOFA, quickSOFA-L, Pediatric Logistic Organ Dysfunction (PELOD)-2, quickPELOD-2, and Pediatric Multiple Organ Dysfunction score-were calculated during the first 24 hours of admission (day 1) and their performance compared with systemic inflammatory response syndrome (SIRS) and severe sepsis-International Consensus Conference on Pediatric Sepsis(ICCPS)-derived criteria-using the area under the receiver operating characteristic curve. Primary outcome was PICU mortality. Secondary outcomes were: a composite of death and new disability (ie, change from baseline Pediatric Overall Performance Category score ≥1); prolonged PICU length of stay (>5 d); prolonged invasive mechanical ventilation (MV) (>3 d). RESULTS: Among 60 patients with sepsis, 4 (6.7%) died, 7 (11.7%) developed new disability, 26 (43.3%) experienced prolonged length of stay, and 21 (35%) prolonged invasive MV. The prognostic ability in mortality discrimination was significantly higher for organ dysfunction scores, with PELOD-2 showing the best performance (area under the receiver operating characteristic curve, 0.924; 95% confidence interval, 0.837-1.000), significantly better than SIRS 3 criteria (0.924 vs 0.509, P = 0.009), SIRS 4 criteria (0.924 vs 0.509, P < 0.001), and severe sepsis (0.924 vs 0.527, P < 0.001). Among secondary outcomes, PELOD-2 performed significantly better than SIRS criteria and severe sepsis to predict prolonged duration of invasive MV, whereas better than severe sepsis to predict "poor outcome" (mortality or new disability). CONCLUSIONS: Day 1 organ dysfunction scores performed better in predicting mortality and morbidity outcomes than ICCPS-derived criteria. The PELOD-2 was the organ dysfunction score with the best performance for all outcomes.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".