Evidence map›Paper›PMID 39993175›Full record

ArticleActa orthopaedica2025

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.

Lise-Lott Larsson, Johan Nordenadler, Gunilla Björling, Li Felländer-Tsai, Stergios Lazarinis, Bengt Ljungqvist, Janet Mattsson, Berit Reinmüller, Harald Brismar

Abstract readComparative Study
In one paragraph

Article in Acta orthopaedica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Lise-Lott LarssonDivision of Orthopaedics and Biotechnology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.
Johan NordenadlerDivision of Orthopaedics and Biotechnology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.
Gunilla BjörlingDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm; Jönköping University, School of Health and Welfare, Jönköping. Sweden.
Li Felländer-TsaiDivision of Orthopaedics and Biotechnology, CLINTEC, Karolinska Institutet, Stockholm; Department of Reconstructive Orthopedics, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0003-0693-6080
Stergios LazarinisDepartment of Surgical Sciences/Orthopaedics, Uppsala University, Sweden.
Bengt LjungqvistDepartment of Architecture and Civil Engineering, Division of Building Services Engineering, Chalmers University of Technology, Göteborg, Sweden.
Janet MattssonDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; University of Southeast Norway, Sörost, Norway.
Berit ReinmüllerDepartment of Architecture and Civil Engineering, Division of Building Services Engineering, Chalmers University of Technology, Göteborg, Sweden.
Harald BrismarDivision of Orthopaedics and Biotechnology, CLINTEC, Karolinska Institutet, Stockholm; Department of Reconstructive Orthopedics, Karolinska University Hospital, Stockholm, Sweden. harald.brismar@regionstockholm.se.ORCID 0000-0002-2342-6595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe 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 fluorescing 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.

methods18 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 Sampler) 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.

resultsThe 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).

conclusionLow 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.

Indexed as

Air MicrobiologyAir Pollution, IndoorEnvironmental MonitoringMonitoring, IntraoperativeOperating RoomsAgedElective Surgical ProceduresFeasibility StudiesFemaleHumansMaleProspective StudiesVentilation

Identifiers

PMID39993175
PMCPMC11849163

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.