Literature DB >> 25790209

Transmission dynamics of gram-negative bacterial pathogens in the anesthesia work area.

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

Abstract

BACKGROUND: Gram-negative organisms are a major health care concern with increasing prevalence of infection and community spread. Our primary aim was to characterize the transmission dynamics of frequently encountered gram-negative bacteria in the anesthesia work area environment (AWE). Our secondary aim was to examine links between these transmission events and 30-day postoperative health care-associated infections (HCAIs).
METHODS: Gram-negative isolates obtained from the AWE (patient nasopharynx and axilla, anesthesia provider hands, and the adjustable pressure-limiting valve and agent dial of the anesthesia machine) at 3 major academic medical centers were identified as possible intraoperative bacterial transmission events by class of pathogen, temporal association, and phenotypic analysis (analytical profile indexing). The top 5 frequently encountered genera were subjected to antibiotic disk diffusion sensitivity to identify epidemiologically related transmission events. Complete multivariable logistic regression analysis and binomial tests of proportion were then used to examine the relative contributions of reservoirs of origin and within- and between-case modes of transmission, respectively, to epidemiologically related transmission events. Analyses were conducted with and without the inclusion of duplicate transmission events of the same genera occurring in a given study unit (first and second case of the day in each operating room observed) to examine the potential effect of statistical dependency. Transmitted isolates were compared by pulsed-field gel electrophoresis to disease-causing bacteria for 30-day postoperative HCAIs.
RESULTS: The top 5 frequently encountered gram-negative genera included Acinetobacter, Pseudomonas, Brevundimonas, Enterobacter, and Moraxella that together accounted for 81% (767/945) of possible transmission events. For all isolates, 22% (167/767) of possible transmission events were identified by antibiotic susceptibility patterns as epidemiologically related and underwent further study of transmission dynamics. There were 20 duplicates involving within- and between-case transmission events. Thus, approximately 19% (147/767) of isolates excluding duplicates were considered epidemiologically related. Contaminated provider hand reservoirs were less likely (all isolates, odds ratio 0.12, 95% confidence interval 0.03-0.50, P = 0.004; without duplicate events, odds ratio 0.05, 95% confidence interval 0.01-0.49, P = 0.010) than contaminated patient or environmental sites to serve as the reservoir of origin for epidemiologically related transmission events. Within- and between-case modes of gram-negative bacilli transmission occurred at similar rates (all isolates, 7% between-case, 5.2% within-case, binomial P value 0.176; without duplicates, 6.3% between-case, 3.7% within-case, binomial P value 0.036). Overall, 4.0% (23/548) of patients suffered from HCAIs and had an intraoperative exposure to gram-negative isolates. In 8.0% (2/23) of those patients, gram-negative bacteria were linked by pulsed-field gel electrophoresis to the causative organism of infection. Patient and provider hands were identified as the reservoirs of origin and the environment confirmed as a vehicle for between-case transmission events linked to HCAIs.
CONCLUSIONS: Between- and within-case AWE gram-negative bacterial transmission occurs frequently and is linked by pulsed-field gel electrophoresis to 30-day postoperative infections. Provider hands are less likely than contaminated environmental or patient skin surfaces to serve as the reservoir of origin for transmission events.

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Year:  2015        PMID: 25790209     DOI: 10.1213/ANE.0000000000000626

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


  9 in total

1.  Evaluation of the Approaches of the Anaesthesiologists on Maintenance of Anaesthesia Machines.

Authors:  Uğur Altınışık; Hatice Betül Altınışık; Tuncer Şimşek; Hasan Ali Kiraz; Tuğba Doğu; Hüseyin Toman; Hasan Şahin; Mesut Erbaş
Journal:  Turk J Anaesthesiol Reanim       Date:  2016-06-01

2.  [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

3.  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 4.  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

5.  Sample times for surveillance of S. aureus transmission to monitor effectiveness and provide feedback on intraoperative infection control.

Authors:  Subhradeep Datta; Franklin Dexter; Johannes Ledolter; Russell T Wall; Randy W Loftus
Journal:  Perioper Care Oper Room Manag       Date:  2020-10-10

6.  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

7.  Sample sizes for surveillance of S. aureus transmission to monitor effectiveness and provide feedback on intraoperative infection control including for COVID-19.

Authors:  Franklin Dexter; Johannes Ledolter; Russell T Wall; Subhradeep Datta; Randy W Loftus
Journal:  Perioper Care Oper Room Manag       Date:  2020-05-21

8.  Outbreak of Sepsis Following Surgery: Utilizing 16S RNA Sequencing To Detect the Source of Infection.

Authors:  Eran Segal; Shahar Bar Yosef; Alex Axel; Naty Keller; Francisc Shlaeffer; Amnon Amir; Gilat Efroni; Yahel Haberman
Journal:  Cureus       Date:  2022-02-22

9.  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

  9 in total

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