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Record W2539467817 · doi:10.5430/jha.v5n6p81

The whole genome sequencing of Acinetobacter-calcoaceticus-baumannii complex strains involved in suspected outbreak in an Intensive Care Unit of a pediatric hospital

2016· article· en· W2539467817 on OpenAlexvenueno aff
Elisabetta Ugolotti, Eddi Di Marco, Roberto Bandettini, Gino Tripodi, Roberto Biassoni

Bibliographic record

VenueJournal of Hospital Administration · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
Fundersnot available
KeywordsAcinetobacter baumanniiOutbreakAcinetobacter calcoaceticusAcinetobacterMicrobiologyInfection controlMedicineBiologyIntensive care medicinePseudomonas aeruginosaVirologyBacteriaGeneticsAntibiotics

Abstract

fetched live from OpenAlex

Background: To analyze the genetic characteristics of Acinetobacter-calcoaceticus-baumannii complex strains isolated in suspected outbreak in a Intensive Care Unit of a pediatric hospital in order to promptly stop the dissemination of this dangerous strain.Methods: This study described the use of whole genome obtained by Next Generation Sequencing to define the clonality of 13 Acinetobacter-calcoaceticus-baumannii complex strains and to study their Resistoma. This was required because Acinetobacter baumannii is known to be resistant to desiccation and to disinfectants and is difficult to treat and eradicate. Thus, this microorganism is a major problem that demands a rigorous outbreak monitoring program to prevent and control the spread of the dangerous strain.Results: The first result of our analysis has been to describe precisely the characteristics of isolates involved in the nosocomial infection, reduce the dimension of the more problematic isolates sustaining the outbreak and promptly facilitate the control of the strains diffusion. Indeed, our study indicated that among the 13 Acinetobacter baumannii-calcoacteticus complex strains, identified by biochemical and mass-spectrometry assays, 7 were Acinetobacter baumannii, 5 were Acinetobacter calcoaceticus, and one was Acinetobacter haemolyticus. The analysis of clonality of Acinetobacter baumannii indicated that three strains of ST744 were identical for > 99.8% among them and thus have sustained an outbreak in Intensive Care Unit. All personnel and possible environment samples were also monitored and all the procedures aimed to the prevention and control of Hospital Acquired Infections (HAI), have been strictly enforced by the Hospital Infection Control Committee. This gave the possibility to trace a strain from an environmental contamination characterized by high degree of clonality with the one isolated from a patient. On the contrary Acinetobacter calcoaceticus strains were different from each other and thus they were not responsible for any outbreak. The Resistoma analysis indicated a correspondence between phenotypic and genotypic characteristics of analyzed strains.Conclusions: Next Generation Sequencing is an appropriate technique to trace the circulation of dangerous strains sustaining nosocomial infections. The combination of the high resolution genotyping together with the definition of the antibiotic genetic determinants and the precise species identification make this technique a useful tool employed as standard practice to control HAI.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

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

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 head0.023
GPT teacher head0.279
Teacher spread0.257 · 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 teacher head, 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

Citations7
Published2016
Admission routes1
Has abstractyes

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