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Record W2748172344 · doi:10.1093/ofid/ofx163.1509

Impact of Timing of Diagnosis of Respiratory Syncytial Virus (RSV) Disease on Hospital Length of Stay (LOS) in Adults: Final Analysis from a Retrospective Chart Review Study

2017· article· en· W2748172344 on OpenAlexaff
Nelson Lee, Edward E. Walsh, Ian Sander, Robert Stolper, Jessica Zakar, Guy De La Rosa, Veronique Wyffels, David Myers, Roman Fleischhackl

Bibliographic record

VenueOpen Forum Infectious Diseases · 2017
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineEmergency departmentDiseaseRetrospective cohort studyPediatricsIntensive care unitDemographicsYoung adultEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

Despite growing clinical awareness of RSV disease in at-risk adult subpopulations, significant gaps remain in knowledge, especially around diagnosis. This analysis aimed to understand the impact of timing of diagnosis on hospital LOS. A retrospective review of patient charts was conducted. Data for adults ≥18 years with confirmed RSV (Oct 2014–Oct 2016; USA) were collected. Each physician (n = 132) submitted up to 3 randomly selected patient cases via an online survey. This study comprised 379 patients, collected in 4 groups (Table). >80% of patients received an RT-PCR test; rapid antigen tests were uncommon (≤10%) with an RT-PCR test also performed in 45% of these. Early RSV diagnosis and less severe disease were associated with a shorter mean LOS (Figure 1and2). Patients diagnosed >24h post-admission had a longer mean [SD] LOS (9.8 [8.6] days; n = 29) than patients diagnosed <12h post-admission (6.2 [3.9] days; n = 67; P = 0.006), and patients diagnosed 12–24h post-admission (7.4 [4.2] days; n = 56; P = 0.038). LOS was higher (P = 0.005) in patients diagnosed in the intensive care unit (9.4 days) than the emergency room or hospital ward (both 6.8 days). RSV disease in adults was typically diagnosed by PCR. Delayed diagnosis and greater RSV disease severity are associated with longer LOS, but results need to be confirmed by prospective trials. Introduction of diagnostic testing protocols may lead to earlier identification of patients in need of supportive care and reduce mean LOS. Patient demographics and method of diagnosis E. Walsh, Janssen Pharmaceuticals: Scientific Advisor, Consulting fee; I. Sander, Janssen Pharmaceuticals: Independent Contractor, Licensing agreement or royalty; R. Stolper, Janssen Pharmaceuticals: Independent Contractor, Licensing agreement or royalty; J. Zakar, Janssen: Independent Contractor, Licensing agreement or royalty; G. De La Rosa, Janssen Pharmaceuticals: Employee, Salary; V. Wyffels, Janssen Pharmaceuticals: Employee, Salary; D. Myers, Janssen Pharmaceuticals: Employee, Salary; R. Fleischhackl, Janssen Pharmaceuticals: Employee, Salary

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)0.002
metaresearch head score (Gemma)0.005
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.415
Teacher spread0.366 · 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
Published2017
Admission routes1
Has abstractyes

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