Association of Empiric Antibiotic Regimen Discordance With 30-Day Mortality in Neonatal and Pediatric Bloodstream Infection—A Global Retrospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: While there have been studies in adults reporting discordant empiric antibiotic treatment associated with poor outcomes, this area is relatively unexplored in children and neonates despite evidence of increasing resistance to recommended first-line treatment regimens. METHODS: Patient characteristics, antibiotic treatment, microbiology, and 30-day all-cause outcome from children <18 years with blood-culture-confirmed bacterial bloodstream infections (BSI) were collected anonymously using REDCap™ through the Global Antibiotic Prescribing and Resistance in Neonates and Children network from February 2016 to February 2017. Concordance of early empiric antibiotic treatment was determined using European Committee on Antimicrobial Susceptibility Testing interpretive guidelines. The relationship between concordance of empiric regimen and 30-day mortality was investigated using multivariable regression. RESULTS: Four hundred fifty-two children with blood-culture-positive BSI receiving early empiric antibiotics were reported by 25 hospitals in 19 countries. Sixty percent (273/452) were under the age of 2 years. S. aureus, E. coli, and Klebsiella spp. were the most common isolates, and there were 158 unique empiric regimens prescribed. Fifteen percent (69/452) of patients received a discordant regimen, and 7.7% (35/452) died. Six percent (23/383) of patients with concordant regimen died compared with 17.4% (12/69) of patients with discordant regimen. Adjusting for age, sex, presence of comorbidity, unit type, hospital-acquired infections, and Gram stain, the odds of 30-day mortality were 2.9 (95% confidence interval: 1.2-7.0; P = 0.015) for patients receiving discordant early empiric antibiotics. CONCLUSIONS: Odds of mortality in confirmed pediatric BSI are nearly 3-fold higher for patients receiving a discordant early empiric antibiotic regimen. The impact of improved concordance of early empiric treatment on mortality, particularly in critically ill patients, needs further evaluation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".