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Correlation between a real-time bioparticle detection device and a traditional microbiological active air sampler monitoring air quality in an operating room during elective arthroplasty surgery: a prospective feasibility study
Division of Orthopaedics and Biotechnology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.
Division of Orthopaedics and Biotechnology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.
Jönköping University, School of Health and Welfare, HHJ, Department of Nursing Science. Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0003-1445-900X
Division of Orthopaedics and Biotechnology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.
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2025 (English)In: Acta Orthopaedica, ISSN 1745-3674, E-ISSN 1745-3682, Vol. 96, p. 176-181Article in journal (Refereed) Published
Abstract [en]

Background and purpose — The standard method for controlling operating room (OR) air quality is measuring bacteria-carrying particles per volume unit of air: colony forming units (CFU/m3). The result takes at least 2 days after sampling. Another method is real-time measurements of flu-orescing bioparticles per unit volume of air (FBP/dm3). We aimed to compare simultaneous measurements of FBP/50 dm3 and CFU/m3 during ongoing arthroplasty surgery.

Methods — 18 arthroplasties were performed in a modern OR with turbulent mixed airflow ventilation. The sampling heads of a BioAerosol Monitoring System (BAMS) and a microbiological active air sampler (Sartorius MD8 Air Sam-pler) were placed next to each other, and 6 parallel 10-minute registrations of FBP/50 dm3 and CFU/m3 were performed for each surgery. Parallel measurements were plotted against each other, Passing–Bablok nonparametric linear regression was performed, and the Spearman correlation coefficient (r) was calculated.

Results — The r between FBP ≥ 3 µm/50 dm3 and CFU/ m3 sampled for 96 x 10-minute intervals, was 0.70 (95% confidence interval [CI] 0.57–0.79). In the 25th percentile with the lowest 10-minute FBP ≥ 3µm/50 dm3, there were no CFU measurements with ≥ 10 and 4% with ≥ 5 CFU/m3. In the 75th percentile with the highest 10-minute FBP ≥ 3 µm/50 dm3, there were 58% CFU measurements with ≥ 10 and 88% with ≥ 5 CFU/m3. The r between FBP ≥ 3 µm/50 dm3 and CFU/m3 means sampled during 18 operations was 0.87 (CI 0.68–0.95).

Conclusion — Low FBP ≥ 3 µm/50 dm3 measured by BAMS indicates low CFU/m3; conversely, high FBP ≥ 3 µm/50 dm3 indicates high CFU/m3. Real-time measurements of FBP ≥ 3 µm/50 dm3 can be used as a supplement to CFU/m3 monitoring OR air bacterial load.

Place, publisher, year, edition, pages
Medical Journals Sweden , 2025. Vol. 96, p. 176-181
National Category
Medical and Health Sciences Medical Engineering
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URN: urn:nbn:se:hj:diva-67442DOI: 10.2340/17453674.2025.43002ISI: 001450876300008PubMedID: 39993175Scopus ID: 2-s2.0-85219514140Local ID: GOA;;1007157OAI: oai:DiVA.org:hj-67442DiVA, id: diva2:1945921
Available from: 2025-03-19 Created: 2025-03-19 Last updated: 2025-10-13Bibliographically approved

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