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The Pediatric Investigators Collaborative Network on Infections in Canada Study of Predictors of Hospitalization for Respiratory Syncytial Virus Infection for Infants Born at 33 Through 35 Completed Weeks of Gestation

2004· article· en· W2016056885 on OpenAlexaffabout
Barbara Law, Joanne M. Langley, Upton Allen, Bosco Paes, David S.C. Lee, Ian Mitchell, John S. Sampalis, Hervé Walti, Joan Robinson, Karel O’Brien, Carina Majaesic, Georges Caouette, Lyne Frenette, Nicole Le Saux, Brian Simmons, Sharon Moisiuk, Koravanagattu Sankaran, Cecil Ojah, Avash Singh, Marc Lebel, Godfrey S. Bacheyie, Heather Onyett, Andrea Michaliszyn, P Manzi, D. Parison

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2004
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsMcGill UniversityAbbott (Canada)Alberta Children's HospitalQueen's UniversityChildren's & Women's Health Centre of British ColumbiaSunnybrook Health Science CentreUniversity of ManitobaChildren's Hospital of Eastern OntarioCentre hospitalier universitaire de QuébecHôtel-Dieu Grace HealthcareMcMaster Children's HospitalSaint John Regional HospitalUniversity of British ColumbiaKingston Health Sciences CentreStollery Children's HospitalDalhousie UniversityHealth Sciences CentreUniversity of CalgaryMount Sinai HospitalHospital for Sick ChildrenWestern UniversityUniversity of TorontoUniversité de SherbrookeRoyal University HospitalUniversity of AlbertaSt. Boniface HospitalUniversité de MontréalUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineOdds ratioConfidence intervalPediatricsRespiratory tract infectionsCohort studyLower respiratory tract infectionInternal medicineRespiratory system

Abstract

fetched live from OpenAlex

BACKGROUND: Infants born at 33 through 35 completed weeks of gestation (33-35GA) are at risk for severe respiratory syncytial virus (RSV) infection, and palivizumab prophylaxis lowers hospitalizations for RSV infection by as much as 80%. The 33-35GA cohort comprises 3-5% of annual births; thus expert panels recommend limiting prophylaxis to situations in which frequency or health care impact of RSV infection is high. This study sought to identify independent risk factors for hospitalization for RSV infection. METHODS: This was a multicenter, prospective, observational cohort study of 33-35GA infants followed through their first RSV season (2001/2002 or 2002/2003). Baseline data were collected by interview with parents and review of medical records. Respiratory tract illnesses were identified by monthly phone calls, and medical records were reviewed for emergency room visits or hospitalizations. Risk factors were determined by stepwise logistic regression. RESULTS: Of 1,860 enrolled subjects, 1,832 (98.5%) were followed for at least 1 month, and 1,760 (94.6%) completed all follow-ups. Of 140 (7.6%) subjects hospitalized for respiratory tract illnesses, 66 infants had proven RSV infection. Independent predictors for hospitalization for RSV infection were: day-care attendance (odds ratio, 12.32; 95% confidence interval, 2.56, 59.34); November through January birth (odds ratio, 4.89; 95% confidence interval, 2.57, 9.29); preschool age sibling(s) (odds ratio, 2.76; 95% confidence interval, 1.51, 5.03); birth weight <10th percentile (odds ratio, 2.19; 95% confidence interval, 1.14, 4.22); male gender (odds ratio, 1.91; 95% confidence interval, 1.10, 3.31); > or = 2 smokers in the home (odds ratio, 1.87; 95% confidence interval, 1.07, 3.26); and households with >5 people, counting the subject (odds ratio, 1.79; 95% confidence interval, 1.02, 3.16). Family history of eczema (odds ratio, 0.42; 95% confidence interval, 0.18, 0.996) was protective. CONCLUSIONS: Specific host/environmental factors can be used to identify which 33-35GA infants are at greatest risk of hospitalization for RSV infection and likely to benefit from palivizumab prophylaxis.

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)0.004
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 score0.159
Threshold uncertainty score0.320

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.312
Teacher spread0.289 · 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

Citations225
Published2004
Admission routes2
Has abstractyes

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