Omphalitis and Concurrent Serious Bacterial Infection
Bibliographic record
Abstract
OBJECTIVE: Describe the clinical presentation, prevalence of concurrent serious bacterial infection (SBI), and outcomes among infants with omphalitis. METHODS: Within the Pediatric Emergency Medicine Collaborative Research Committee, 28 sites reviewed records of infants ≤90 days of age with omphalitis seen in the emergency department from January 1, 2008, to December 31, 2017. Demographic, clinical, laboratory, treatment, and outcome data were summarized. RESULTS: Among 566 infants (median age 16 days), 537 (95%) were well-appearing, 64 (11%) had fever at home or in the emergency department, and 143 (25%) had reported fussiness or poor feeding. Blood, urine, and cerebrospinal fluid cultures were collected in 472 (83%), 326 (58%), and 222 (39%) infants, respectively. Pathogens grew in 1.1% (95% confidence interval [CI], 0.3%-2.5%) of blood, 0.9% (95% CI, 0.2%-2.7%) of urine, and 0.9% (95% CI, 0.1%-3.2%) of cerebrospinal fluid cultures. Cultures from the site of infection were obtained in 320 (57%) infants, with 85% (95% CI, 80%-88%) growing a pathogen, most commonly methicillin-sensitive Staphylococcus aureus (62%), followed by methicillin-resistant Staphylococcus aureus (11%) and Escherichia coli (10%). Four hundred ninety-eight (88%) were hospitalized, 81 (16%) to an ICU. Twelve (2.1% [95% CI, 1.1%-3.7%]) had sepsis or shock, and 2 (0.4% [95% CI, 0.0%-1.3%]) had severe cellulitis or necrotizing soft tissue infection. There was 1 death. Serious complications occurred only in infants aged <28 days. CONCLUSIONS: In this multicenter cohort, mild, localized disease was typical of omphalitis. SBI and adverse outcomes were uncommon. Depending on age, routine testing for SBI is likely unnecessary in most afebrile, well-appearing infants with omphalitis.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".