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Record W3096796519 · doi:10.1017/ice.2020.815

Hospital-Acquired Bloodstream Infections With MRSA and VRE: Standardized Admission Screening Did Not Impact Rates

2020· article· en· W3096796519 on OpenAlexaffabout
Jennifer Ellison, Blanda Chow, Andrea Howatt, Ted Pfister, Kathryn Bush

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsMedicineEmergency medicineAcute careIntensive care medicineHealth carePediatrics

Abstract

fetched live from OpenAlex

Background: Bloodstream infections (BSIs) are an important cause of morbidity and mortality in severely ill patients, contributing to increased length of stay and a higher cost of care. Surveillance of hospital-acquired (HA) BSI is considered a measure of quality of care and has been performed provincially in Alberta since 2011. Prior to October 2015, a nonstandardized, risk-factor–based VRE screening process was used. Screening practices for antibiotic-resistant organisms (AROs) were aligned in October 2015 with a provincially standardized admission screening tool to allow for early initiation of contact precautions for patients colonized or infected with MRSA or VRE. In this data review, we sought to determine whether this admission screening change influenced ARO infections through review of HA-BSI rates. Methods: Prospectively, we reviewed reports of all patients admitted to Alberta Health Services/Covenant Health acute-care and acute-/tertiary-care rehabilitation facilities who met inclusion criteria: (1) positive blood culture identified with MRSA or VRE; (2) new episode for the patient; and (3) positive result occurred on or after calendar day 3 of admission. Data are presented as quarterly rates. Screening practices for MRSA and VRE were standardized provincially in October 2015 to include screening for MRSA on admission for patients who had an inpatient admission, received hemodialysis, or was an inmate in a correctional facility in the past 6 months. We also screened for VRE patients admitted to a solid-organ transplant unit or a hematology unit, regardless of risk factors. Results: We detected no changes in the quarterly rates of HA-BSI with MRSA or VRE after admission screening was standardized. Prior to standardized screening, MRSA BSI rates ranged from 0.12 to 0.25 per 10,000 patient days, with an overall rate of 0.18 per 10,000 patient days. After standardization, rates ranged from 0.09 to 0.30 per 10,000 patient days, with an overall rate of 0.17 per 10,000 patient days ( P = .46). VRE BSI rates prior to standardization ranged from 0.03 to 0.13 per 10,000 patient days, with an overall rate of 0.08 per 10,000 patient days, which increased slightly to 0.09 per 10,000 patient days after standardized screening, ranging between 0.04 and 0.16 per 10,000 patient days ( P = .61). Conclusions: Following the implementation of standardized admission screening and the early initiation of contact precautions, no significant changes were observed in rates of either HA-BSI with MRSA or VRE. Further investigation is required to identify the most effective strategies to reduce HA-BSIs caused by MRSA and VRE. Funding: None Disclosures: None

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.037
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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