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Risk Factors for Severe Disease Among Children Hospitalized With Respiratory Syncytial Virus

2025· article· en· W4409360521 on OpenAlexafffundabout
Nardin Kirolos, Haifa Mtaweh, R.R. Datta, Daniel S. Farrar, Claire Seaton, Jeffrey N. Bone, Fiona Muttalib, Caitlyn L. Kaziev, Jonathan Fortini, Sanjay Mahant, Aaron Campigotto, Gabrielle Freire, Rae S. M. Yeung, Jonathan H. Rayment, Connie Yang, Jocelyn A. Srigley, Manish Sadarangani, Francine Buchanan, Shaun K. Morris, Peter J. Gill, Mei Han, Nicholas Barrowman, Gabriele Zitikyte, Rizk ElMadbak, H Faris Mahmood, Kody Wolfstadt, Nilushi De Silva, Polina Kyrychenko, Shamama Raza, Vite Flores, Keane Fuerte, Pardis Noormohammadpour, Hafsa Azher, Tom McLaughlin, Matthew Carwana, Srinivas Murthy, Candice Wiedman, Melissa Braschel, Alam Lakhani, Sanja Hadzi-Nikolova, Min Jung Kim, Victoria Tapics, Henry Okpaladigbo, Jianbin Xu, Zainab Zeyan, Baneesh Khosa, Gordon Krahn, Rita Janke

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsPublic Health OntarioHospital for Sick ChildrenUniversity of British ColumbiaBC Children's HospitalUniversity of TorontoSickKids FoundationInstitute for Clinical Evaluative Sciences
FundersCanadian Institutes of Health Research
KeywordsMedicinePediatricsIntensive care unitPoisson regressionDiseaseCohort studyMechanical ventilationCohortRespiratory tract infectionsBronchiolitisInternal medicineRespiratory systemPopulation

Abstract

fetched live from OpenAlex

Importance: A resurgence of respiratory syncytial virus (RSV)-associated acute respiratory tract infection (ARI) was observed in 2022 and 2023 after the COVID-19 pandemic. Changes in the demographic characteristics, disease severity, and outcomes of patients were observed, which could impact the identification of risk groups for interventions aimed at reducing the severity of RSV disease. Objectives: To identify factors associated with severe clinical outcomes among children hospitalized with RSV-associated ARIs in 2022 and 2023. Design, Setting, and Participants: This observational cohort study, conducted at 2 large, Canadian, tertiary-level pediatric hospitals, comprised all 709 cases of RSV-associated ARI among children younger than 18 years who were admitted to the hospital or intensive care unit (ICU) from July 1, 2022, to June 30, 2023. Exposure: Diagnosis of RSV-associated ARI. Main Outcomes and Measures: The primary outcome of severe disease was defined as requiring noninvasive or invasive ventilation or death. Risk factors for severe disease and ICU admission (secondary outcome) were assessed using multivariable Poisson regression, and results were reported as adjusted risk ratios (ARRs) with 95% CIs, with age-stratified models (<2 years and ≥2 years). Results: A total of 709 cases (median age, 13.1 months [IQR, 2.0-36.6 months]; 442 boys [62.3%]) were admitted with RSV-associated ARI; 452 (63.8%) were younger than 2 years, and 257 (36.2%) were aged 2 years or older. Severe disease was documented for 204 cases (28.8%). Patients with severe disease were younger than those with nonsevere disease (median age, 2.6 months [IQR, 1.3-16.0 months] vs 18.6 months [IQR, 4.5-39.1 months]; P < .001). Pulmonary disease and use of home oxygen (ARR, 2.47 [95% CI, 1.30-4.68]) and neurologic, neuromuscular, and developmental conditions (ARR, 1.89 [95% CI, 1.03-3.49]) were associated with severe disease among children aged 2 years or older. Among children younger than 2 years, age younger than 3 months (ARR, 2.34 [95% CI, 1.43-3.84]), age 3 to less than 6 months (ARR, 2.79 [95% CI, 1.65-4.70]), and prematurity (ARR, 1.40 [95% CI, 1.03-1.89]) were associated with severe disease. Conclusions and Relevance: In this cohort study of children hospitalized with RSV in 2022 and 2023, severe RSV disease was more likely among those aged 2 years or older with pulmonary and neurologic, neuromuscular, or developmental conditions. For children younger than 2 years, age younger than 6 months and prematurity were the main risk factors. These findings support prevention strategies for all younger children, including premature infants, with potential benefit for children aged 2 years or older in specific high-risk groups.

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 score0.026
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.023
GPT teacher head0.339
Teacher spread0.316 · 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".

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Citations21
Published2025
Admission routes3
Has abstractyes

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