Operating Room Airborne Microbial Load: Nonscrubbed Staff Apparel Matters

Background: Infection is a leading cause of total joint arthroplasty failure. In previous studies, we found correlations between the level of contamination, concentrations of airborne particles, and the number of staff present. In this study, we focused on the apparel of nonscrubbed operating room (OR) staff to elucidate their contribution to the airborne microbial load. Methods: We compared hospital-laundered scrubs to disposable coveralls using 2 methods. (1) Participants entered an isolation chamber with a controlled environment and completed tasks for 1 hour wearing both the approved and alternative OR attire. Settle plates collected viable contaminants that were shed by the participants during testing. (2) Lab members conducted standardized maneuvers in a functional OR that simulated typical movements of the nurse, anesthesiologist, implant representative, and entering/exiting staff. An airborne particle counter and settle plates were positioned throughout the OR. After 1 hour, the staff changed apparel and repeated the test. Each session of both phases consisted of 2 tests by the same individuals on the same day. Results: There was approximately a 10-fold difference in the settlement rate of viable particles between groups when employing the isolation chamber. The settle rate for scrubs was 5,519 +/- 1,381 colony forming units (CFUs)/m(2)/h, while the settle rate for coveralls was 505 +/- 55 CFUs/m(2)/h (P = .008). During testing in the OR, 218.7 +/- 35 CFUs/m(2)/h were captured for scrubs, compared with 50.5 +/- 13 CFUs/m(2)/h for the coverall (P < .01). The concentration of airborne particles collected for scrubs was 4,952.1 +/- 495 particles/m(3) and 1,065 +/- 53 particles/m(3) for the coveralls (P < .01). This was a 77% and 79% reduction for both measures, respectively. Conclusions: The open nature of standard scrubs allows contaminated particles to escape into the OR environment, whereas the one-piece design of the coveralls restricts pathways of escape. The results of this study may be helpful when developing hospital infection prevention policies. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.