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Factors influencing microbial colonies in the air of operating rooms

Overview of attention for article published in BMC Infectious Diseases, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
9 tweeters

Citations

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20 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Factors influencing microbial colonies in the air of operating rooms
Published in
BMC Infectious Diseases, January 2018
DOI 10.1186/s12879-017-2928-1
Pubmed ID
Authors

Ling Fu Shaw, Ian Horng Chen, Chii Shya Chen, Hui Hsin Wu, Li Shing Lai, Yin Yin Chen, Fu Der Wang

Abstract

The operating room (OR) of the hospital is a special unit that requires a relatively clean environment. The microbial concentration of an indoor OR extrinsically influences surgical site infection rates. The aim of this study was to use active sampling methods to assess microbial colony counts in working ORs and to determine the factors affecting air contamination in a tertiary referral medical center. This study was conducted in 28 operating rooms located in a 3000-bed medical center in northern Taiwan. The microbiologic air counts were measured using an impactor air sampler from May to August 2015. Information about the procedure-related operative characteristics and surgical environment (environmental- and personnel-related factors) characteristics was collected. A total of 250 air samples were collected during surgical procedures. The overall mean number of bacterial colonies in the ORs was 78 ± 47 cfu/m3. The mean number of colonies was the highest for transplant surgery (123 ± 60 cfu/m3), followed by pediatric surgery (115 ± 30.3 cfu/m3). A total of 25 samples (10%) contained pathogens; Coagulase-negative staphylococcus (n = 12, 4.8%) was the most common pathogen. After controlling for potentially confounding factors by a multiple regression analysis, the surgical stage had the significantly highest correlation with bacterial counts (r = 0.346, p < 0.001). Otherwise, independent factors influencing bacterial counts were the type of surgery (29.85 cfu/m3, 95% CI 1.28-58.42, p = 0.041), site of procedure (20.19 cfu/m3, 95% CI 8.24-32.14, p = 0.001), number of indoor staff (4.93 cfu/m3, 95% CI 1.47-8.38, p = 0.005), surgical staging (36.5 cfu/m3, 95% CI 24.76-48.25, p < 0.001), and indoor air temperature (9.4 cfu/m3, 95% CI 1.61-17.18, p = 0.018). Under the well-controlled ventilation system, the mean microbial colony counts obtained by active sampling in different working ORs were low. The number of personnel and their activities critically influence the microbe concentration in the air of the OR. We suggest that ORs doing complex surgeries with more surgical personnel present should increase the frequency of air exchanges. A well-controlled ventilation system and infection control procedures related to environmental and surgical procedures are of paramount importance for reducing microbial colonies in the air.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Student > Bachelor 7 9%
Researcher 7 9%
Professor 4 5%
Student > Postgraduate 3 4%
Other 14 18%
Unknown 29 37%
Readers by discipline Count As %
Medicine and Dentistry 12 15%
Nursing and Health Professions 8 10%
Engineering 7 9%
Agricultural and Biological Sciences 5 6%
Environmental Science 4 5%
Other 10 13%
Unknown 32 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2018.
All research outputs
#1,489,607
of 16,888,555 outputs
Outputs from BMC Infectious Diseases
#371
of 6,036 outputs
Outputs of similar age
#51,707
of 413,247 outputs
Outputs of similar age from BMC Infectious Diseases
#46
of 652 outputs
Altmetric has tracked 16,888,555 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,036 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 413,247 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 652 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.