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Record W2981801248 · doi:10.1093/ofid/ofz360.2391

2714. Streptococcus pneumoniae Nasopharyngeal Carriage in Canadian Adults Hospitalized with Community-Acquired Pneumonia from 2010 to 2017

2019· article· en· W2981801248 on OpenAlexaffabout
Jason J. LeBlanc, May ElSherif, Amanda Lang, Hayley D. Gillis, Lingyun Ye, Donna MacKinnon‐Cameron, Ardith Ambrose, Todd F. Hatchette, Irene Martín, Walter Demczuk, Melissa K. Andrew, Guy Boivin, William Bowie, Karen Green, Jennie Johnstone, Mark Loeb, Anne McCarthy, Allison McGeer, Makeda Semret, Sylvie Trottier, Louis Valiquette, Duncan Webster, Shelly McNeil

Bibliographic record

VenueOpen Forum Infectious Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsSaint John Regional HospitalMcGill University Health CentreUniversité de SherbrookeUniversity of TorontoMcMaster UniversitySinai Health SystemVancouver General HospitalUniversity of British ColumbiaDalhousie UniversityIzaak Walton Killam Health CentreSaskatchewan HealthCentre hospitalier universitaire de QuébecSaskatchewan Health AuthorityNova Scotia Health AuthorityOttawa Hospital
Fundersnot available
KeywordsStreptococcus pneumoniaeCarriageSerotypeMedicineCommunity-acquired pneumoniaPneumoniaHerd immunityPneumococcal conjugate vaccineMicrobiologyVirologyImmunologyInternal medicineVaccinationAntibioticsBiologyPathology

Abstract

fetched live from OpenAlex

Abstract Background Streptococcus pneumoniae can colonizes the human nasopharynx, and can cause life-threatening infections like community-acquired pneumonia (CAP) and invasive pneumococcal diseases (IPD). In Canada, the 13-valent conjugate vaccine (PCV13) was introduced in childhood immunization since 2010, with hopes that it would not only protect the vaccinated, but also confer indirect protection to adults through herd immunity. Given data on S. pneumoniae nasopharyngeal (NP) carriage in adults is scarce, this study reports on S. pneumoniae-positivity and serotype distribution in adult carriage from years 2010 to 2017. Methods Active surveillance was performed in adults hospitalized with for CAP or IPD from December 2010 to 2017. For assessment of S. pneumoniae carriage, NP swabs were tested using lytA and cpsA real-time PCR. S. pneumoniae-positive NPs were subjected to serotyping using conventional and real-time multiplex PCRs. Results Overall, 6472 NP swabs were tested, and Spn was identified in 366 (5.7%). Of the 366 S. pneumoniae-positive NP swabs, a serotype was assigned in 355 (97.0%). From years 2010 to 2017, the proportion of S. pneumoniae-positive NP swabs declined from 8.9% to 4.3%. This was also reflected in the proportion of serotypeable results attributed to PCV13 serotypes, which also declined from 76.9% to 42.2%. The decline was primarily attributed to PCV13 serotypes 7F and 19A. PCV13 serotype 3 remained predominant throughout the study, as did non-PCV13 serotypes like 22F, 33F, and 11A. On the other hand, a proportional rise over time was noted for non-vaccine serotypes (from 15.4% to 31.1%). This was primarily attributed to serotypes 23A, 15A, and 35B. Conclusion Monitoring serotype trends is important to assess the impact of pneumococcal vaccines. While herd immunity from PCV13 childhood immunization was anticipated, few studies have assessed its impact on adult carriage. This study described Spn serotype distribution in adults over years 2010 to 2017, demonstrating not only a reduction of PCV13 serotypes over time, but a proportional rise in non-vaccine serotypes. These emerging serotypes may represent the emergence of serotype replacement. Ongoing serotype surveillance will be needed to compare S. pneumoniae carriage to serotypes associated with pneumococcal CAP and IPD. Disclosures All authors: No reported disclosures.

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)0.000
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 score0.020
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.269
Teacher spread0.259 · 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".

Quick stats

Citations2
Published2019
Admission routes2
Has abstractyes

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