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Record W4406924033 · doi:10.1093/ofid/ofae631.840

P-643. Incidence and Clinical Characteristics of Invasive Group A Streptococcal Infections in Underhoused Adults in Toronto, Canada

2025· article· en· W4406924033 on OpenAlexaffabout
Caroline Kassee, Halima Dabaja Younis, Zoë Zhong, Vanessa Allen, Irene Armstrong, Mahin Baqi, Kevin R. Barker, Ari Bitnun, Sergio Borgia, Aaron Campigotto, Sumon Chakrabarti, Wayne L. Gold, Alyssa Golden, Jennie Johnstone, Christopher Kandel, Ian Kitai, Julianne V. Kus, Liane Macdonald, Irene Martín, Matthew Muller, Jeya Nadarajah, Daniel Ricciuto, David Richardson, Medina Saffie, Manal Tadros, Monali Varia, Kazi Hassan, Maxime Lefebvre, Angel Li, Shiva Barati, Gloria Crowl, Lubna Farooqi, Nadia Shamshad Malik, Mare Pejkovska, Asfia Sultana, Tamara Vikulova, Allison McGeer

Bibliographic record

VenueOpen Forum Infectious Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsLakeridge HealthJoseph Brant HospitalUniversity of ManitobaPublic Health OntarioHospital for Sick ChildrenTrillium Health CentreWilliam Osler Health SystemToronto Public HealthToronto East General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineIncidence (geometry)STREPTOCOCCAL INFECTIONSPediatricsInternal medicineImmunology

Abstract

fetched live from OpenAlex

Abstract Background Post-pandemic increases of invasive group A streptococcal disease (iGAS) have been reported in many areas of the world; increased risk associated with illicit intravenous (IV) drug use has also been identified. Methods Since 1995, the Toronto Invasive Bacterial Diseases Network (TIBDN) has conducted prospective, population-based surveillance for iGAS in residents of Toronto/Peel Region (pop, 4.5M) in Canada. Homeless adults admitted to hospitals in the surveillance area are counted as residents. General and homeless population estimates were taken from Statistics Canada and published literature (doi:10.1136/bmjopen-2019-030221). Canada's National Microbiology Laboratory performs emm typing. Results In 2022/23, 88 iGAS cases (14% of all iGAS cases, 17% of adult iGAS) occurred in homeless persons; all were adults. Estimated iGAS incidence in homeless adults was 210/100,000/yr, versus 5.4/100,000/yr in other adults. Homeless persons with iGAS were younger than other adults (median age 47 v. 59 yr, P< .001); 70% were male (v. 63% in other adults, P=0.2). Homeless adults were more likely than other adults to be smokers (53% v. 27%, P< .001), to use IV drugs (46% v. 10%, P< .001), to have non-intact skin (43% v. 27%, P< .001) and to report recent soft tissue trauma (27% v. 17 %, P< .001). Compared to other adults, homeless adults were more likely to have comorbidities (90% v. 79%, P< .001), but less likely to be immunocompromised (3% v. 19%, P< .001). Presentations differed in homeless versus other adults (Table 1). 16 (18%) homeless adults required ICU admission, 10 (11%) mechanical ventilation, and 5 (8.5%) died. After age adjustment, outcomes did not differ between homeless and other adults. The median hospital length of stay was 8.5 days (IQR: 4-22) for homeless adults, and 8 days (IQR: 5-18) for other adults (P=0.7). The distribution of emm types of isolates in homeless and other adults is shown in Figure 1. iGAS in homeless adults was less likely to be caused by isolates of emm 1 and 12, and more likely to be caused by isolates of emm 49 and 74. Conclusion Homeless persons are at very high risk of iGAS, with IV drug use and skin integrity issues contributing. Outcomes of iGAS are similar to other adults. Differences in the emm types of isolates may be relevant to future vaccine program planning. Disclosures Allison McGeer, MD, AstraZeneca: Honoraria|GSK: Honoraria|Merck: Honoraria|Moderna: Honoraria|Novavax: Honoraria|Pfizer: Grant/Research Support|Pfizer: Honoraria|Roche: Honoraria|Seqirus: Grant/Research Support|Seqirus: Honoraria

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)0.001
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 score0.013
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.326
Teacher spread0.315 · 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
Published2025
Admission routes2
Has abstractyes

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