AJIC: American Journal of Infection Control
Volume 38, Issue 3 , Pages 199-204, April 2010

Predicting bacterial populations based on airborne particulates: A study performed in nonlaminar flow operating rooms during joint arthroplasty surgery

  • Gregory W. Stocks, MD

      Affiliations

    • Fondren Orthopedic Group, Houston, TX
    • Corresponding Author InformationAddress correspondence to Gregory W. Stocks, MD, Fondren Orthopedic Group, 7401 S Main Street, Houston, TX 77030-4509.
  • ,
  • Sean D. Self

      Affiliations

    • Nimbic Systems, Inc, Houston, TX
  • ,
  • Brandon Thompson

      Affiliations

    • Fondren Orthopedic Group, Houston, TX
  • ,
  • Xavier A. Adame

      Affiliations

    • ISO Software Consultants, Houston, TX
  • ,
  • Daniel P. O'Connor, PhD

      Affiliations

    • Laboratory of Integrated Physiology, University of Houston, Houston, TX

published online 13 November 2009.

Background

Prevention of postsurgical infection is preferable to treatment. Prevention requires identification and control of the potential sources of microbial contamination. This study investigated whether the density of airborne particulates can predict the density of viable airborne bacteria at the surgery site.

Methods

A standard particle analyzer was used to measure the number and diameter of airborne particulates during 22 joint arthroplasty surgeries. An impact air sampler and standard culture plates were used to identify and count colony-forming units (CFU).

Results

Particulate density averaged >500,000 particles/m3 per 10-minute interval, and 1786 CFU were identified, primarily gram-positive cocci. A particle density≥10μm explained 41% of the variation in CFU density. Particle and CFU density increased with longer surgery duration and higher staff counts.

Conclusions

These findings support the use of environmental controls that isolate and protect the surgical site from airborne particulates and contamination.

Key Words: Surgical, nosocomial, airborne

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 Conflicts of interest: None to report.

PII: S0196-6553(09)00830-X

doi:10.1016/j.ajic.2009.07.006

AJIC: American Journal of Infection Control
Volume 38, Issue 3 , Pages 199-204, April 2010