Perioperative COVID-19 Defense: An Evidence-Based Approach for Optimization of Infection Control and Operating Room Management

Franklin Dexter, Michelle C Parra, Jeremiah R Brown, Randy W Loftus, Franklin Dexter, Michelle C Parra, Jeremiah R Brown, Randy W Loftus

Abstract

We describe an evidence-based approach for optimization of infection control and operating room management during the coronavirus disease 2019 (COVID-19) pandemic. Confirmed modes of viral transmission are primarily, but not exclusively, contact with contaminated environmental surfaces and aerosolization. Evidence-based improvement strategies for attenuation of residual environmental contamination involve a combination of deep cleaning with surface disinfectants and ultraviolet light (UV-C). (1) Place alcohol-based hand rubs on the intravenous (IV) pole to the left of the provider. Double glove during induction. (2) Place a wire basket lined with a zip closure plastic bag on the IV pole to the right of the provider. Place all contaminated instruments in the bag (eg, laryngoscope blades and handles) and close. Designate and maintain clean and dirty areas. After induction of anesthesia, wipe down all equipment and surfaces with disinfection wipes that contain a quaternary ammonium compound and alcohol. Use a top-down cleaning sequence adequate to reduce bioburden. Treat operating rooms using UV-C. (3) Decolonize patients using preprocedural chlorhexidine wipes, 2 doses of nasal povidone-iodine within 1 hour of incision, and chlorhexidine mouth rinse. (4) Create a closed lumen IV system and use hub disinfection. (5) Provide data feedback by surveillance of Enterococcus, Staphylococcus aureus, Klebsiella, Acinetobacter, Pseudomonas, and Enterobacter spp. (ESKAPE) transmission. (6) To reduce the use of surgical masks and to reduce potential COVID-19 exposure, use relatively long (eg, 12 hours) staff shifts. If there are 8 essential cases to be done (each lasting 1-2 hours), the ideal solution is to have 2 teams complete the 8 cases, not 8 first case starts. (7) Do 1 case in each operating room daily, with terminal cleaning after each case including UV-C or equivalent. (8) Do not have patients go into a large, pooled phase I postanesthesia care unit because of the risk of contaminating facility at large along with many staff. Instead, have most patients recover in the room where they had surgery as is done routinely in Japan. These 8 programmatic recommendations stand on a substantial body of empirical evidence characterizing the epidemiology of perioperative transmission and infection development made possible by support from the Anesthesia Patient Safety Foundation (APSF).

Conflict of interest statement

Conflicts of Interest: See Disclosures at the end of the article.

References

    1. Loftus RW, Campos JH. The anesthetists’ role in perioperative infection control: what is the action plan? Br J Anaesth. 2019;123:531–534.
    1. Welch D, Buonanno M, Grilj V. Far-UVC light: anew tool to control the spread of airborne-mediated microbial diseases. Sci Rep. 2018;8:2752.
    1. Yu IT, Li Y, Wong TW. Evidence of airborne transmission of the severe acute respiratory syndrome virus. N Engl J Med. 2004;350:1731–1739.
    1. Xiao S, Li Y, Wong TW, Hui DSC. Role of fomites in SARS transmission during the largest hospital outbreak in Hong Kong. PLoS One. 2017;12:e0181558.
    1. van Doremalen N, Bushmaker T, Morris DH, et al. Aerosol and surface stability of SARS-CoV-2 compared with SARS-CoV-1. N Engl J Med. 2020. March 17 [Epub ahead of print].
    1. Moore G, Ali S, Cloutman-Green EA. Use of UV-C radiation to disinfect non-critical patient care items: a laboratory assessment of the Nanoclave Cabinet. BMC Infect Dis. 2012;12:174.
    1. Loftus RW, Koff MD, Burchman CC. Transmission of pathogenic bacterial organisms in the anesthesia work area. Anesthesiology. 2008;109:399–407.
    1. Loftus RW, Brown JR, Koff MD. Multiple reservoirs contribute to intraoperative bacterial transmission. Anesth Analg. 2012;114:1236–1248.
    1. ICT Infection Control Today. New CDC Study Confirms Effectiveness of UV-C Disinfection to Combat Harmful Pathogens. April 25, 2013. Environmental Hygiene, Purchasing, Clinical Interventions. Available at: . Accessed March 19, 2020.
    1. Pavia M, Simpser E, Becker M, Mainquist WK, Velez KA. The effect of ultraviolet-C technology on viral infection incidence in a pediatric long-term care facility. Am J Infect Control. 2018;46:720–722.
    1. Andersen BM, Bånrud H, Bøe E, Bjordal O, Drangsholt F. Comparison of UV-C light and chemicals for disinfection of surfaces in hospital isolation units. Infect Control Hosp Epidemiol. 2006;27:729–734.
    1. Pedersen A, Getty Ritter E, Beaton M, Gibbons D. Remote video auditing in the surgical setting. AORN J. 2017;105:159–169.
    1. Loftus RW, Koff MD, Brown JR. The epidemiology of Staphylococcus aureus transmission in the anesthesia work area. Anesth Analg. 2015;120:807–818.
    1. Loftus RW, Dexter F, Robinson ADM. High-risk Staphylococcus aureus transmission in the operating room: acall for widespread improvements in perioperative hand hygiene and patient decolonization practices. Am J Infect Control. 2018;46:1134–1141.
    1. Loftus RW, Dexter F, Robinson ADM. Methicillin-resistant Staphylococcus aureus has greater risk of transmission in the operating room than methicillin-sensitive S aureus. Am J Infect Control. 2018;46:520–525.
    1. Loftus RW, Dexter F, Robinson ADM, Horswill AR. Desiccation tolerance is associated with Staphylococcus aureus hypertransmissibility, resistance and infection development in the operating room. J Hosp Infect. 2018;100:299–308.
    1. Hadder B, Patel HM, Loftus RW. Dynamics of intraoperative Klebsiella, Acinetobacter, Pseudomonas, and Enterobacter transmission. Am J Infect Control. 2018;46:526–532.
    1. Rowlands J, Yeager MP, Beach M, Patel HM, Huysman BC, Loftus RW. Video observation to map hand contact and bacterial transmission in operating rooms. Am J Infect Control. 2014;42:698–701.
    1. Koff MD, Brown JR, Marshall EJ, et al. Frequency of hand decontamination of intraoperative providers and reduction of postoperative healthcare-associated infections: a randomized clinical trial of a novel hand hygiene system. Infect Control Hosp Epidemiol. 2016;37:888–895.
    1. Koff MD, Loftus RW, Burchman CC, et al. Reduction in intraoperative bacterial contamination of peripheral intravenous tubing through the use of a novel device. Anesthesiology. 2009;110:978–985.
    1. Loftus RW, Koff MD, Birnbach DJ. The dynamics and implications of bacterial transmission events arising from the anesthesia work area. Anesth Analg. 2015;120:853–860.
    1. Clark C, Taenzer A, Charette K, Whitty M. Decreasing contamination of the anesthesia environment. Am J Infect Control. 2014;42:1223–1225.
    1. Loftus RW, Patel HM, Huysman BC. Prevention of intravenous bacterial injection from health care provider hands: the importance of catheter design and handling. Anesth Analg. 2012;115:1109–1119.
    1. Loftus RW, Brindeiro BS, Kispert DP. Reduction in intraoperative bacterial contamination of peripheral intravenous tubing through the use of a passive catheter care system. Anesth Analg. 2012;115:1315–1323.
    1. Ti LK, Ang LS, Foonge TW, Ng BSW. What we do when a COVID-19 patient needs an operation: operating room preparation and guidance. Can J Anesth. 2020 March 6 [Epub ahead of print].
    1. Stepaniak PS, Dexter F. Constraints on the scheduling of urgent and emergency surgical cases: surgeon, equipment, and anesthesiologist availability. PCORN. 2016;3:6–11.
    1. Bibliography. Available at: . Accessed March 19, 2020.
    1. Samudra M, Van Riet C, Demeulemeester E, Cardoen B, Vansteenkiste N, Rademakers FE. Scheduling operating rooms: achievements, challenges and pitfalls. J Schedul. 2016;19:493–525.
    1. Zhu S, Fan W, Yang S, Pei J, Pardalos PM. Operating room planning and surgical case scheduling: a review of literature. J Comb Opt. 2019;37:757–805.
    1. Gür S, Eren T, Alakas HM. Surgical operation scheduling with goal programming and constraint programming: a case study. Mathematics. 2019;7:251.
    1. Cardoen B, Demeulemeester E, Beliën J. Optimizing a multiple objective surgical case sequencing problem. Int J Prod Econ. 2009;119:354–366.
    1. Doulabi SHH, Rousseau LM, Pesant G. A constraint-programming-based branch-and-price-and-cut approach for operating room planning and scheduling. INFORMS J Comput. 2016;28:432–448.
    1. Sento Y, Suzuki T, Suzuki Y, Scott DA, Sobue K. The past, present and future of the postanesthesia care unit (PACU) in Japan. J Anesth. 2017;31:601–607.
    1. Thenuwara KN, Yoshi T, Nakata Y, Dexter F. Time to recovery after general anesthesia at hospitals with and without a phase I post-anesthesia care unit: a historical cohort study. Can J Anesth. 2018;12:1296–1302.
    1. Dexter F, Bayman EO, Epstein RH. Statistical modeling of average and variability of time to extubation for meta-analysis comparing desflurane to sevoflurane. Anesth Analg. 2010;110:570–580.
    1. Agoliati A, Dexter F, Lok J. Meta-analysis of average and variability of time to extubation comparing isoflurane with desflurane or isoflurane with sevoflurane. Anesth Analg. 2010;110:1433–1439
    1. Williams BA, Kentor ML, Williams JP. PACU bypass after outpatient knee surgery is associated with fewer unplanned hospital admissions but more phase II nursing interventions. Anesthesiology. 2002;97:981–988.
    1. Williams BA, Kentor ML, Vogt MT. Economics of nerve block pain management after anterior cruciate ligament reconstruction: potential hospital cost savings via associated postanesthesia care unit bypass and same-day discharge. Anesthesiology. 2004;100:697–706.
    1. Tiwari V, Dexter F, Rothman BS, Ehrenfeld JM, Epstein RH. Explanation for the near-constant mean time remaining in surgical cases exceeding their estimated duration, necessary for appropriate display on electronic white boards. Anesth Analg. 2013;117:487–493.

Source: PubMed

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