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Record W1519731086 · doi:10.26873/svr-24680-2015

Enterococcus cecorum INFECTION IN TWO CRITICALLY ILL CHILDREN AND IN TWO ADULT SEPTIC PATIENTS

2015· article· en· W1519731086 on OpenAlexaboutno aff
David Štubljar, Miha Skvarč

Bibliographic record

VenueSlovenian Veterinary Research · 2015
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsnot available
Fundersnot available
KeywordsPathogenSepsisProcalcitoninEnterococcusMicrobiologyBiologyWhite blood cellSeptic arthritisImmunologyMedicineAntibioticsArthritis

Abstract

fetched live from OpenAlex

Enterococcus cecorum is mostly found as normal gut flora in farm animals, especially pigs and poultry. However, sometimes it can cause extended infections and disease in those animals, as was recently reported in Canada where it caused arthritis and osteomyelitis in chickens. Until now, only a few reports have been published on Enterococcus cecorum as a potential pathogen in humans. We have reported 4 cases of infection with this rare human pathogen. The organism was proven in 2 blood samples from adult patients with sepsis and in 2 cerebrospinal fluid (CSF) samples taken from children with external ventricular drainage (EVD) and diagnosed ventriculitis. In two cases (one child and one adult), other bacterial pathogens were also detected. The organism could not be cultivated and could only be identified with analysis of 16S rRNA gene PCR. The following molecular biomarkers were used to confirm the infection, and exclude sample contamination: white blood cell count, neutrophils, C-reactive protein (CRP), procalcitonin (PCT) and presepsin (sCD14-ST). Enterococcus cecorum was identified as a pathogen with 16S rRNA gene PCR and could have caused the infection in all patients. We also suspected the first possible human-to-human transmission of bacteria from a mother to a newborn child.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.403
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2015
Admission routes1
Has abstractyes

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