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Record W4403679556 · doi:10.1093/pch/pxae067.052

53 Clinical characteristics and outcomes of children hospitalized with RSV-associated acute respiratory infections

2024· article· en· W4403679556 on OpenAlexaboutno aff
Nardin Kirolos, Jonathan Fortini, Haifa Mtaweh, Claire Seaton, Daniel S. Farrar, Sanjay Mahant, Gabrielle Freire, Aaron Campigotto, Rae S. M. Yeung, Francine Buchanan, Nicholas Barrowman, Gabriele Zitikyte, Shaun K. Morris, Peter J. Gill

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRespiratory systemIntensive care medicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Respiratory syncytial virus (RSV) is one of the most common acute respiratory infections (ARI) in infants and young children. After the relaxation of COVID-19 pandemic restrictions, children’s hospitals worldwide experienced unprecedented volumes and severity in presentation of children admitted with ARIs, such as RSV. It is unknown whether the increase in volumes was also associated with changes in the typical demographic, severity and outcomes of patients with RSV infections. Objectives To describe sociodemographic characteristics, clinical presentation, management including diagnosis and disposition and clinical outcomes of children under the age of 18 years admitted to tertiary care paediatric hospital with RSV-associated ARI. Design/Methods Observational cohort of children and adolescents aged 0-18 years admitted to two large Canadian children’s hospitals between July 1, 2022 - December 31, 2022, who had microbiological evidence of RSV infection. Detailed clinical and demographic information were extracted, including admission and discharge diagnoses, diagnostic tests, viral and bacterial testing, interventions, and respiratory settings. Clinical outcomes and complications were collected, including length of hospital admission, paediatric intensive care unit (PICU) admission, need for invasive mechanical ventilation, disposition, and death. Results There were 455 patients admitted with an RSV infection, of which a third (35.0%, n=146) were transfers from other hospitals. Cases were 41.0% male and the median age was 1.22 years (interquartile range [IQR] 0.19-3.06). Nearly two-thirds of patients (62.0%, n=284) were younger than 2 years of age, 8.6% had a history of prematurity. One third (31.0%, n=142) of patients had at least one documented comorbid condition, the most common diagnosis was asthma (6.6%). In addition to RSV, 3.5% (n=16) of patients had a simultaneous bacterial pathogen identified. Most patients (73%, n=330) were only RSV positive, while 24% (n=109) had two pathogens identified. One quarter (25.9%) were admitted to the PICU. The median length of hospital stay was 3 days (IQR 2.00-5.00) and for those admitted to the PICU, nearly two thirds of patients (63.0%, n=75) were admitted for less than 4 days. 0 patients died. The most common discharge diagnosis in 61.0% of patients (n=279) was bronchiolitis. There were 56 patients (12.3%) who had an unscheduled return visit to the ED within 30 days of discharge with 23.0% (n=13) requiring readmission to the hospital. Conclusion There continues to be a substantial volume of hospitalizations secondary to RSV infection, predominantly in those <2 years of age, with a prominent diagnosis of bronchiolitis. A quarter of patients had notable severity requiring PICU admission.

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 score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.395
Teacher spread0.363 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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