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Record W4406924196 · doi:10.1093/ofid/ofae631.1386

P-1204. Hospitalizations Associated with Respiratory Syncytial Virus (RSV) Illness Among Children and Adolescents in Ontario, Canada

2025· article· en· W4406924196 on OpenAlexaffabout
Sazini Nzula, Alexandre Goyette, Deshayne B. Fell, Natalie Nightingale, Maria Esther Perez Trejo, Calum S. Neish, Ana Gabriela Grajales

Bibliographic record

VenueOpen Forum Infectious Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsPfizer (Canada)
Fundersnot available
KeywordsMedicineRespiratory illnessRespiratory systemVirusPediatricsCoronavirus disease 2019 (COVID-19)VirologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract illness (LRTI) among children, particularly in young infants. Although the burden of illness is higher at a younger age, it has been less documented in children 5-17 years old. *Missing and Not Applicable categories not considered while calculating % #Risk status includes conditions such as congenital malformations, cystic fibrosis, chronic respiratory disease, trisomy 21, cardiovascular disorders, congenital kidney disease (in < 2 years only), congenital neurological disorders (in < 2 years only), cancer (in 2-17 years only), immunodeficiencies (in 2-17 years only), and neuromuscular diseases (in 2-17 years only) RSV: respiratory syncytial virus; wGA: weeks of gestational age Methods Patients aged ≤ 17 years hospitalized with RSV between July 1st, 2010 and March 31st, 2023 were identified from provincial administrative data at ICES, which captures all healthcare encounters within Ontario’s publicly funded healthcare system. Annual outcomes were reported from July 1st to June 30th of the next year.Figure 1.RSV hospitalizations among Ontario children < 12 months old (2010 – 2023).Note that the age groups are not consistent in size (i.e., 1-month groups for those < 7 months while 7 - < 12 months were all grouped together). Results Overall, 23,930 RSV hospitalizations were reported; annual counts ranged between 1,356 (2010-11) and 4,298 (2022-23) (Table 1). Children < 12 months accounted for 66% of all hospitalizations, of which > 75% occurred in those < 6 months (Figure 1), and over 90% of hospitalizations occurred during the RSV-season (November-April). Although children < 2 years made up a greater proportion of hospitalizations compared to those 2-17 years (84% vs. 16%), risk conditions were more common in those 2-17 years compared to < 2 years of age (35% vs. 7%). The median length of stay (LOS) per RSV hospitalization was 69 hours (h). Longer LOS was observed for those hospitalized at age < 1 month (108 h), 5-17 years (92 h), born preterm (84-115 h), with a low birthweight (87-119 h), or with a risk condition (92-97 h). About 12% of the cohort had an intensive care unit (ICU) stay (median LOS: 87 h), which made up 55% of their LOS in the hospital. A greater proportion of those hospitalized at < 4 months old (16%) or 5-17 years old (22%) had an ICU stay. While the proportion of patients with an ICU stay increased from 8% in 2010-11 to 17% in 2022-23, the median LOS in ICU decreased from 101 h to 78 h over the same period. Overall, in-hospital, all-cause mortality was 0.12%, but higher for those with risk conditions (< 2 years: 0.61%; 2-17 years: 1.02%). Conclusion This study highlighted those who may be more impacted by RSV illness: younger infants, those born prematurely or with a low birthweight, and with underlying risk conditions. While most hospitalizations were observed in those < 12 months, RSV remains a noteworthy cause of hospitalization in older children, especially those with risk conditions. Disclosures Sazini Nzula, PhD, Pfizer Canada: Employee Alexandra Goyette, MSc, Pfizer: Employee|Pfizer: Stocks/Bonds (Private Company) Deshayne B. Fell, PhD, Pfizer Inc.: Employment|Pfizer Inc.: Stocks/Bonds (Private Company) Ana Gabriela Grajales, MD, Pfizer Canada ULC: I am currently an employee in Medical Affairs|Pfizer Canada ULC: Stocks/Bonds (Public Company)

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 score0.036
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.008
GPT teacher head0.275
Teacher spread0.267 · 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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