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Impact of severe disease caused by respiratory syncytial virus in children living in developed countries

2003· article· en· W2318085719 on OpenAlexaboutno aff
Eric A. F. Simões, Xavier Carbonell‐Estrany

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2003
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBronchiolitisEpidemiologyOutbreakPediatricsPalivizumabRespiratory diseaseRespiratory tract infectionsDiseaseVirusProspective cohort studyRespiratory systemDemographyImmunologyVirologyInternal medicineLung

Abstract

fetched live from OpenAlex

Among industrialized nations, the rate of rehospitalization in the United States for respiratory syncytial virus (RSV) is approximately 30 per 1000, exceptions being noted for American Indians and Alaskan natives, two ethnic groups who tend toward higher rates of RSV hospitalization. In distinction Japan reports an admission rate of 60 per 1000 for RSV disease. Yet Japan ranks considerably lower than many of its western counterparts in premature births. Whether an RSV subtype, a new viral genotype or some other unifying characteristic exists that might explain the severity of adenovirus, parainfluenza and RSV infections in this region of Asia remains to be determined. Outcomes trials in the United States, Canada, United Kingdom, Denmark and Japan all identified crowding and exposure to tobacco smoke as significant and independent risk factors for disease severity of RSV. The epidemiology of RSV is largely consistent throughout Europe, with peak outbreaks occurring in December and January. In Europe RSV accounts for 42 to 45% of hospital admissions for lower respiratory tract infections in children younger than 2 years of age, and inpatient populations tend to be younger and to experience greater disease severity. For RSV bronchiolitis lengths of stay in European hospitals range from a low of 4 days to a high of 10 days. The Infección Respiratoria Infantil por Virus Respiratorio Sincitial Study Group in Spain conducted 2 prospective observational studies in 14 and 26 neonatal units, respectively, on nonprophylaxed neonates to determine hospitalization rates for respiratory syncytial viral illness during 2 consecutive RSV seasons. Throughout each respiratory season the study group followed premature infants of < or =32 weeks gestational age at birth, representing an annual birth cohort of approximately 100 000 infants. A total of 584 infants who were < or =32 weeks gestational age in the first season and 999 in the second season were followed at monthly intervals. The nonprophylaxed hospitalized group was compared with the nonprophylaxed, nonhospitalized group, and presumptive risk factors were determined for rehospitalization among premature infants. These independent variables, similar for both years, were identified as low gestational age, underlying chronic lung disease, living with school age siblings, exposure to tobacco smoke and a chronologic age of < 3 months at the onset of the RSV season.Stable, yet high rates of admission for RSV illness in Spain were observed in this premature group of < or =32 weeks gestational age: 13.4% for 1999; and 13.1% for the year 2000. Of those hospitalized during the 2 years of the study, 18 and 25%, respectively, were admitted to the intensive care unit. With the exception of higher rates of family allergy, multiple deliveries and a lower rate of neonatal morbidity, prognostic variables for high risk of hospital admission in the year 2000 compared with those of the 1999 sample. Findings from this comprehensive, prospective study served as the basis for the development of standards for the prevention of respiratory syncytial virus infection by the Spanish Society of Neonatology.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.322
Teacher spread0.306 · 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

Citations155
Published2003
Admission routes1
Has abstractyes

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