MétaCan
Menu
Back to cohort
Record W2756275229 · doi:10.1093/ofid/ofx163.869

Molecular Epidemiological Investigation of Human Parainfluenza 3 Virus Outbreak in a Pediatric Bone Marrow Transplantation Unit

2017· article· en· W2756275229 on OpenAlexaff
Patrick J. Stapleton, Stephen Perusini, Angela Thomas, Michelle Science, Tal Schechter‐Finkelstein, Jonathan B. Gubbay, Samir Patel, Yvonne Yau

Bibliographic record

VenueOpen Forum Infectious Diseases · 2017
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsPublic Health OntarioHospital for Sick ChildrenToronto Public Health
FundersPfizer
KeywordsMedicineVirologyTypingOutbreakHematopoietic stem cell transplantationTransplantationMolecular epidemiologyGeneBiologyInternal medicineGenotypeGenetics

Abstract

fetched live from OpenAlex

Abstract Background Human parainfluenza virus 3 (hPIV3), a common cause of respiratory infections in children, can cause nosocomial outbreaks in patients undergoing hematopoietic stem cell transplantation, resulting in significant morbidity and mortality. Between July and August 2016, an increased number of hPIV3 infections were noted in a pediatric bone marrow transplant unit (BMT). Two patients were identified in late July and 4 patients in August. We undertook molecular typing of hPIV3 to determine whether cases represented multiple introductions of community virus strains or patient to patient transmission of a single strain. Previous reports of molecular typing have targeted either the F (fusion protein) gene or HN (hemagglutinin-neuraminidase) gene. We compared results using both methods direct from clinical specimens. Methods Nasopharyngeal (NP) swabs from 6 patients in BMT ward and 6 patients hospitalized on other wards had hPIV3 detected by the Luminex NxTAG Respiratory Pathogen Panel over 2 months. For the F gene a single pair of primers were used to first amplify then sequence a 278 basepair (bp) region by reverse-transcriptase PCR (RT-PCR). For HN gene a 1719 bp region was amplified using nested RT-PCR, then sequenced with 6 sets of overlapping primers. The resulting contigs were assembled manually with ContigExpress. Phylogenetic analysis of assembled sequences was performed in MEGA7 using the maximum likelihood method. Results For the HN gene sequence of 1715 bp was obtained for 10 of 12 patients (5 in each group). Phylogenetic analysis of HN sequences indicated 2 distinct hPIV3 lineages (Figure 1). The 5 BMT patients differed by a maximum of 1bp, while 5 samples from other wards differed by 14 to 57 bp. For the F gene only 98 bp of common sequence was obtained for 7 patients, all of whom had HN gene sequences available. Phylogenetic analysis of F gene sequence also supported the presence of 2 distinct lineages. Conclusion Molecular typing of hPIV3 suggests there was transmission of a single hPIV3 strain within the BMT unit despite protective isolation of all BMT patients in positive pressure single rooms and the use of contact and droplet precautions for infected cases. We found sequencing the HN gene more informative than sequencing the F gene. Disclosures All authors: No reported disclosures.

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)0.001
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.074
GPT teacher head0.400
Teacher spread0.326 · 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

Explore more

Same venueOpen Forum Infectious DiseasesSame topicRespiratory viral infections researchFrench-language works237,207