Outbreaks in the neonatal ICU: a review of the literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: Neonates in the neonatal ICU (NICU) are uniquely vulnerable to colonization and infection with pathogens such as multidrug resistant Gram-negative bacteria, which in turn are associated with increased infection-related morbidities and higher case-fatality rates. We reviewed the English, French, and German language literature published between 2015 and 2017, for reports of NICU outbreaks. RECENT FINDINGS: A total of 39 outbreaks in NICUs were reported with Gram-negative bacteria (n = 21; 54%) causing most, and extended spectrum beta-lactamase-producing organisms being the most frequent resistance mechanism reported (n = 5). Five viral outbreaks were reported (respiratory syncytial virus = 3). A significant proportion of outbreaks (33%) did not identify a source. Whole genome sequencing was used more (n = 6 reports). The most common described infection prevention and control interventions included staff and parent education on hand hygiene, patient isolation, additional contact precautions, including discontinuation of 'kangaroo care', and cohorting. Reporting and publication bias are likely common. SUMMARY: NICUs must be vigilant in identifying outbreaks, conduct comprehensive investigations, and implement targeted infection prevention and control strategies. Molecular epidemiology capacities are an essential element in outbreak investigation. More studies are needed to determine the added value of active colonization screening and their impact on outbreak development.
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.
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) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 it