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Record W2312016203 · doi:10.1093/ofid/ofu052.431

723Community vs Hospital Acquired Staphylococcus aureus Bacteremia in A Canadian Tertiary Care Center: A Retrospective Chart Review, 2010-2012

2014· article· en· W2312016203 on OpenAlexaffabout
Arienne King, Byron M. Berenger, Jeffrey Fuller, Stephanie Smith

Bibliographic record

VenueOpen Forum Infectious Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineTertiary careBacteremiaStaphylococcus aureusMethicillin-resistant Staphylococcus aureusCenter (category theory)Retrospective cohort studyChartInternal medicineEmergency medicineIntensive care medicineMicrobiologyAntibioticsBacteria

Abstract

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Background. Staphylococcus aureus (SA) bloodstream infections (BSI) are a significant cause of morbidity and mortality. The objective of this study is to compare rates of MRSA and MSSA bacteremia in our hospital over time and to describe the characteristics of community-acquired (CA) and healthcare associated (HA) BSI admitted to hospital over a two year period. Methods. This study took place at a 739-bed inpatient tertiary care center in Edmonton, Canada. All patients who had a blood culture positive for SA between January 1, 2010 and December 31, 2012 and were admitted to the University of Alberta Hospital were included. Information was extracted from paper charts. Data analysis was performed using IBM SPSS 22. Results. A total of 342 separate episodes of SA BSI were reviewed. Of the 342 episodes, 198 were admitted to medical services (57.8%) and 149 (43.5%) required ICU admission. The mean age was 60.6 years (+/- 17.6 years, range 18-99 years). More men than women were affected (237, 69.3%). Fifty four percent (54.3%, 186) of SA BSI were CA. Rates of BSI did not change over time, except in the last quarter of 2012, HA-MRSA rates fell. Thirty-day mortality was similar (CA 24.2%, 45; HA 19.2%, 30). Greater 120-day mortality was seen in the CA group (60, 32.3% vs 41, 26.2%). In 305 (89.1%) cases, infection source was identified. Main sources of CA BSI were skin and soft tissue infections (37, 12%), endocarditis (26, 8.5%), and pneumonia/aspiration (29, 9.5%). Main sources of HA BSI were central access (47, 15.4%), pneumonia/aspiration (20, 6.6%) and post-operative infections (30, 9.8%). Age and sex distributions, mean duration of bacteremia and the mean vancomycin mean inhibitory concentration were the same in both groups. On average, patients with HA bacteremia stayed one day longer in the ICU (5.9 vs 6.8, range 0-72) and 1.6 days longer in hospital overall (35.1 days vs 33.5 days, range 1-745 days). Conclusion. To our knowledge very few studies have examined differences in CA and HA SA BSI. Our study suggests the geographical place of onset is not determined by age, sex or resistance pattern and does not affect mortality. The main difference between the two entities is the source of infection. Soft tissue infections are the predominant source in community acquired SA bacteremia whereas central catheters are the predominant source in hospital acquired SA BSI. 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)0.001
metaresearch head score (Gemma)0.003
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 score0.089
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.010
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.006
GPT teacher head0.260
Teacher spread0.254 · 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".

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Citations0
Published2014
Admission routes2
Has abstractyes

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