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I9 Listeriosis in neonates and infants in switzerland and canada

2018· article· en· W2791995772 on OpenAlexaffabout
San Kuei Huang, Bijendra Raya, M Jost, Robert Bortolussi, Julie A. Bettinger, J Grabowski, Thierry Lacaze, Joan Robinson, K Posfay Barbe, Mirjam Mäusezahl, TR Kollmann

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversity of AlbertaUniversity of OttawaUniversity of ManitobaIzaak Walton Killam Health CentreDalhousie UniversityBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicinePediatricsSepsisEpidemiologyDiseaseMeningitisNeonatal sepsisRetrospective cohort studyInternal medicine

Abstract

fetched live from OpenAlex

Aims Neonates and infants with listeriosis are at high risk of serious disease outcomes, yet in many countries, little information is reported in routine surveillance. This study aims to begin closing this gap. Methods Clinicians participating in the Swiss Paediatric Surveillance Unit (SPSU) or the Canadian Paediatric Surveillance Program (CPSP) recorded cases of listeriosis in neonates and infants up to the age of 6 months with information on demographic indicators, manifestation, treatment, clinical course, outcome, exposure and maternal and perinatal risk factors collected. Results In Switzerland four cases occurred over the first 8 months of the study (April to November 2017). Half of the infants had early-onset disease (EOD, defined as onset of symptoms<7 days of life (DOL)) and the other half had late-onset disease (LOD, defined as onset of symptoms>7 DOL). EOD is considered to be mother-to-child transmitted, while the pathogenesis of LOD is unclear. All cases manifested with sepsis and meningitis, and one EOD case presented with skin- and mucosal lesions as well. All infants made a full recovery with antibiotic treatment with no long-term sequelae noted. Notably, three of the four cases occurred in one hospital during the same week. However, it could not be established whether infection resulted from an epidemiological link between the cases. The Canadian study collected data over 2 years (May-2015 to April-2017). Eight cases of laboratory-confirmed listeriosis were reported in newborns and infants. Six cases had EOD and 2 had LOD. All the six EOD cases presented as septic on DOL 1 (median: 0.5 hours, range: 0–2 hours). All EOD cases had bacteremia and one also meningitis. All EOD cases needed ICU (or NICU) admission; 2 of the EOD cases died. Of the LOD cases, one case became symptomatic on DOL 9 and the other presented on DOL 20 with seizures. Both LOD cases survived the episode, but in one case, the infant suffered permanent sequelae (hemiplegia). Conclusion While the incidence of neonatal listeriosis recorded in Switzerland exceeded the incidence as could be expected from routine surveillance data, this increase likely related to the unusual cluster of cases. Contrary, the number of cases reported in Canada was far below the incidence as could be expected from the reported incidence of neonatal listeriosis in the literature (table 1). Under-reporting was unlikely as no additional listeriosis were reported through the national notifiable system. This apparent reduction in incidence of EOD could reflect perinatal antibiotic prophylaxis for Group B streptococcus; conclusions about LOD will require longer study period.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.259
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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