How Are Clinicians Treating Children With Sepsis in Emergency Departments in Latin America?
Bibliographic record
Abstract
OBJECTIVE: Guidelines adherence in emergency departments (EDs) relies partly on the availability of resources to improve sepsis care and outcomes. Our objective was to assess the management of pediatric septic shock (PSS) in Latin America's EDs and to determine the impact of treatment coordinated by a pediatric emergency specialist (PEMS) versus nonpediatric emergency specialists (NPEMS) on guidelines adherence. METHODS: Prospective, descriptive, and multicenter study using an electronic survey administered to PEMS and NPEMS who treat PSS in EDs in 14 Latin American countries. RESULTS: We distributed 2164 surveys with a response rate of 41.5%, of which 22.5% were PEMS. Overall American College of Critical Care Medicine reported guidelines adherence was as follows: vascular access obtained in 5 minutes, 76%; fluid infusion technique, 60%; administering 40 to 60 mL/kg within 30 minutes, 32%; inotropic infusion by peripheral route, 61%; dopamine or epinephrine in cold shock, 80%; norepinephrine in warm shock, 57%; and antibiotics within 60 minutes, 82%. Between PEMS and NPEMS, the following differences were found: vascular access in 5 minutes, 87.1% versus 72.7% (P < 0.01); fluid infusion technique, 72.3% versus 55.9% (P < 0.01); administering 40 to 60 mL/kg within 30 minutes, 42% versus 29% (P < 0.01); inotropic infusion by peripheral route, 75.7% versus 56.3% (P < 0.01); dopamine or epinephrine in cold shock, 87.1% versus 77.3% (P < 0.05); norepinephrine in warm shock, 67.8% versus 54% (P < 0.01); and antibiotic administration within first 60 minutes, 90.1% versus 79.3% (P < 0.01), respectively. Good adherence criteria were followed by 24%. The main referred barrier for sepsis care was a failure in its recognition, including the lack of triage tools. CONCLUSIONS: In some Latin American countries, there is variability in self-reported adherence to the evidence-based recommendations for the treatment of PSS during the first hour. The coordination by PEMS support greater adherence to these recommendations.
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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 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".