Evidence map›Paper›PMID 25253790›Full record

ArticleJournal of clinical microbiology2014

Clinical laboratory response to a mock outbreak of invasive bacterial infections: a preparedness study.

Randall J Olsen, Nahuel Fittipaldi, Priyanka Kachroo, Misu A Sanson, S Wesley Long, Kathryn J Como-Sabetti, Chandni Valson, Concepcion Cantu, Ruth Lynfield, Chris Van Beneden and 2 more

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Canada-Wide Epidemic ofOpen forum infectious diseases · 2018
    Article
  5. Article
  6. Article
  7. Bacterial genome sequencing in clinical microbiology: a pathogen-oriented review.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Review
  8. Importance of whole genome sequencing for the assessment of outbreaks in diagnostic laboratories: analysis of a case series of invasive Streptococcus pyogenes infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Randall J OlsenDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA rjolsen@houstonmethodist.org.
Nahuel FittipaldiPublic Health Ontario, Toronto, Ontario, Canada Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Priyanka KachrooDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA.
Misu A SansonDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA Escuela de Biotecnologia y Alimentos and Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Nuevo León, Mexico.
S Wesley LongDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA.
Kathryn J Como-SabettiInfectious Disease Epidemiology, Prevention and Control Section, Minnesota Department of Health, St. Paul, Minnesota, USA.
Chandni ValsonDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA.
Concepcion CantuDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA.
Ruth LynfieldInfectious Disease Epidemiology, Prevention and Control Section, Minnesota Department of Health, St. Paul, Minnesota, USA.
Chris Van BenedenRespiratory Diseases Branch, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Stephen B BeresDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA.
James M MusserDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large hospital-based clinical laboratories must be prepared to rapidly investigate potential infectious disease outbreaks. To challenge the ability of our molecular diagnostics laboratory to use whole-genome sequencing in a potential outbreak scenario and identify impediments to these efforts, we studied 84 invasive serotype emm59 group A streptococcus (GAS) strains collected in the United States. We performed a rapid-response exercise to the mock outbreak scenario using whole-genome sequencing, genome-wide transcript analysis, and mouse virulence studies. The protocol changes installed in response to the lessons learned were tested in a second iteration. The initial investigation was completed in 9 days. Whole-genome sequencing showed that the invasive infections were caused by multiple subclones of epidemic emm59 GAS strains likely spread to the United States from Canada. The phylogenetic tree showed a strong temporal-spatial structure with diversity in mobile genetic element content, features that are useful for identifying closely related strains and possible transmission events. The genome data informed the epidemiology, identifying multiple patients who likely acquired the organisms through direct person-to-person transmission. Transcriptome analysis unexpectedly revealed significantly altered expression of genes encoding a two-component regulator and the hyaluronic acid capsule virulence factor. Mouse infection studies confirmed a high-virulence capacity of these emm59 organisms. Whole-genome sequencing, coupled with transcriptome analysis and animal virulence studies, can be rapidly performed in a clinical environment to effectively contribute to patient care decisions and public health maneuvers.

Indexed as

Civil DefenseDisease OutbreaksLaboratory Proficiency TestingAnimalsCanadaDisease Models, AnimalGene Expression ProfilingGenome, BacterialHealth Services ResearchHigh-Throughput Nucleotide SequencingHumansMiceMolecular Diagnostic TechniquesStreptococcal InfectionsStreptococcus pyogenesUnited States

Identifiers

PMID25253790
PMCPMC4313289

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.