Literature DB >> 24937345

The epidemiology of Staphylococcus aureus transmission in the anesthesia work area.

Randy W Loftus1, Matthew D Koff, Jeremiah R Brown, Hetal M Patel, Jens T Jensen, Sundara Reddy, Kathryn L Ruoff, Stephen O Heard, Mark P Yeager, Thomas M Dodds.   

Abstract

BACKGROUND: Little is known regarding the epidemiology of intraoperative Staphylococcus aureus transmission. The primary aim of this study was to examine the mode of transmission, reservoir of origin, transmission locations, and antibiotic susceptibility for frequently encountered S aureus strains (phenotypes) in the anesthesia work area. Our secondary aims were to examine phenotypic associations with 30-day postoperative patient cultures, phenotypic growth rates, and risk factors for phenotypic isolation.
METHODS: S aureus isolates previously identified as possible intraoperative bacterial transmission events by class of pathogen, temporal association, and analytical profile indexing were subjected to antibiotic disk diffusion sensitivity. The combination of these techniques was then used to confirm S aureus transmission events and to classify them as occurring within or between operative cases (mode). The origin of S aureus transmission events was determined via use of a previously validated experimental model and links to 30-day postoperative patient cultures confirmed via pulsed-field gel electrophoresis. Growth rates were assessed via time-to-positivity analysis, and risk factors for isolation were characterized via logistic regression.
RESULTS: One hundred seventy S aureus isolates previously implicated as possible intraoperative transmission events were further subdivided by analytical profile indexing phenotype. Two phenotypes, phenotype P (patients) and phenotype H (hands), accounted for 65% of isolates. Phenotype P and phenotype H contributed to at least 1 confirmed transmission event in 39% and 28% of cases, respectively. Patient skin surfaces (odds ratio [OR], 8.40; 95% confidence interval [CI], 2.30-30.73) and environmental (OR, 10.89; 95% CI, 1.29-92.13) samples were more likely than provider hands (referent) to have phenotype P positivity. Phenotype P was more likely than phenotype H to be resistant to methicillin (OR, 4.38; 95% CI, 1.59-12.06; P = 0.004) and to be linked to 30-day postoperative patient cultures (risk ratio, 36.63 [risk difference, 0.174; 95% CI, 0.019-0.328]; P < 0.001). Phenotype P exhibited a faster growth rate for methicillin resistant and for methicillin susceptible than phenotype H (phenotype P: median, 10.32H; interquartile range, 10.08-10.56; phenotype H: median, 10.56H; interquartile range, 10.32-10.8; P = 0.012). Risk factors for isolation of phenotype P included age (OR, 14.11; 95% CI, 3.12-63.5; P = 0.001) and patient exposure to the hospital ward (OR, 41.11; 95% CI, 5.30-318.78; P < 0.001).
CONCLUSIONS: Two S aureus phenotypes are frequently transmitted in the anesthesia work area. A patient and environmentally derived phenotype is associated with increased risk of antibiotic resistance and links to 30-day postoperative patient cultures as compared with a provider hand-derived phenotype. Future work should be directed toward improved screening and decolonization of patients entering the perioperative arena and improved intraoperative environmental cleaning to attenuate postoperative health care-associated infections.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 24937345     DOI: 10.1213/ANE.0b013e3182a8c16a

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  13 in total

Review 1.  Transmission pathways of multidrug-resistant organisms in the hospital setting: a scoping review.

Authors:  Natalia Blanco; Lyndsay M O'Hara; Anthony D Harris
Journal:  Infect Control Hosp Epidemiol       Date:  2019-03-06       Impact factor: 3.254

2.  Fighting MRSA Infections in Hospital Care: How Organizational Factors Matter.

Authors:  Torsten Oliver Salge; Antonio Vera; David Antons; Jeannie P Cimiotti
Journal:  Health Serv Res       Date:  2016-06-22       Impact factor: 3.402

3.  [Hygiene aspects of multidrug-resistant pathogens in the operating room and intensive care unit].

Authors:  F Schuler; C Lanckohr; M Hendrik Pillukat; R Scherf; A Mellmann
Journal:  Anaesthesist       Date:  2019-05       Impact factor: 1.041

4.  Microbial contamination of the hands of healthcare providers in the operating theatre of a central hospital.

Authors:  Kylesh D Pegu; Helen Perrie; Juan Scribante; Maria Fourtounas
Journal:  S Afr J Infect Dis       Date:  2021-04-08

Review 5.  Perioperative Infection Transmission: the Role of the Anesthesia Provider in Infection Control and Healthcare-Associated Infections.

Authors:  Archit Sharma; Patrick G Fernandez; John P Rowlands; Matthew D Koff; Randy W Loftus
Journal:  Curr Anesthesiol Rep       Date:  2020-07-17

6.  Hand hygiene compliance monitoring in anaesthetics: Feasibility and validity.

Authors:  A Jeanes; J Dick; P Coen; N Drey; D J Gould
Journal:  J Infect Prev       Date:  2018-02-16

7.  Assessing a Novel Method to Reduce Anesthesia Machine Contamination: A Prospective, Observational Trial.

Authors:  Chuck J Biddle; Beverly George-Gay; Praveen Prasanna; Emily M Hill; Thomas C Davis; Brad Verhulst
Journal:  Can J Infect Dis Med Microbiol       Date:  2018-02-04       Impact factor: 2.471

8.  Anesthesia Workspace Cleanliness and Safety: Implementation of a Novel Syringe Bracket Using 3D Printing Techniques.

Authors:  Dustin R Long; Allison Doney; Devan L Bartels; Crystal E Tan; Puneet K Sayal; Thomas A Anderson; Aalok V Agarwala
Journal:  Anesthesiol Res Pract       Date:  2019-07-01

9.  In Response: 'Perioperative COVID-19 Defense: An Evidence-Based Approach for Optimization of Infection Control and Operating Room Management'.

Authors:  Randy W Loftus; Franklin Dexter; Michelle C Parra; Jeremiah R Brown
Journal:  Anesth Analg       Date:  2020-07       Impact factor: 6.627

10.  Strategies for daily operating room management of ambulatory surgery centers following resolution of the acute phase of the COVID-19 pandemic.

Authors:  Franklin Dexter; Mohamed Elhakim; Randy W Loftus; Melinda S Seering; Richard H Epstein
Journal:  J Clin Anesth       Date:  2020-04-29       Impact factor: 9.452

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.