Association between air changes and airborne microbial contamination in operating rooms

Background: Control of airborne microbial contamination is important in operating rooms (ORs). To keep airborne contamination low, guidelines should highlight the importance of air turnover. The aims of the study were: (1) to verify the association between air turnover and airborne contamination in...

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Main Authors: Niccolò Vonci, Maria F. De Marco, Anna Grasso, Giuseppe Spataro, Gabriele Cevenini, Gabriele Messina
Format: Article
Language:English
Published: Elsevier 2019-11-01
Series:Journal of Infection and Public Health
Online Access:http://www.sciencedirect.com/science/article/pii/S1876034119301789
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spelling doaj-d58870a2c00e4759a1e944dc9a0178aa2020-11-25T02:00:14ZengElsevierJournal of Infection and Public Health1876-03412019-11-01126827830Association between air changes and airborne microbial contamination in operating roomsNiccolò Vonci0Maria F. De Marco1Anna Grasso2Giuseppe Spataro3Gabriele Cevenini4Gabriele Messina5Post Graduate School of Public Health, University of Siena, ItalyMedical Management, “Le Scotte” Teaching Hospital, Siena, ItalyMedical Management, “Le Scotte” Teaching Hospital, Siena, ItalyPost Graduate School of Public Health, University of Siena, ItalyDepartment of Molecular and Developmental Medicine, University of Siena, ItalyDepartment of Molecular and Developmental Medicine, University of Siena, Italy; Corresponding author at: Department of Molecular and Developmental Medicine, University of Siena, via Aldo Moro 2, 53100, Siena, Italy.Background: Control of airborne microbial contamination is important in operating rooms (ORs). To keep airborne contamination low, guidelines should highlight the importance of air turnover. The aims of the study were: (1) to verify the association between air turnover and airborne contamination in ORs; and (2) to identify a statistical relationship between air turnover and airborne microbial contamination. Methods: A cross sectional study was carried out from November 2014 to July 2017 in the teaching Hospital of Siena. Nineteen ORs (14 with turbulent and 5 with laminar flow ventilation) were surveyed a total of 59 times under operating conditions. Air samples were collected with an air sampler. Petri dishes, incubated at 36 °C for 48 h, were used to quantify colony forming units in the samples (CFU). The data was transformed to evaluate several statistically significant nonlinear associations between air turnover, quantified as air changes per hour (ACH) and CFU per cubic meter of air (p < 0.05). Results: A log-linear regression model provided the best fit between ACH and CFU for laminar (p = 0.013; R2 = 0.3911) and turbulent flow systems (p = 0.002; R2 = 0.3443). The corresponding model was: ln(CFU) = (a − b*ACH), where the regression parameters were estimated at a = 4.02 and b = 0.037 for laminar flow and a = 5.24 and b = 0.067 for turbulent flow. Conclusions: Italian guidelines indicate microbial load limits of 20 and 180 CFU/m3 for operating rooms with laminar and turbulent flow ventilation, respectively. The model allowed us to evaluate the minimum number of ACHs to keep CFU within these limits. Ad hoc measurements in other environments can be used to calibrate the relationship between ACH and CFU. Keywords: Operating rooms, Air changes per hour, Airborne bacterial contaminationhttp://www.sciencedirect.com/science/article/pii/S1876034119301789
collection DOAJ
language English
format Article
sources DOAJ
author Niccolò Vonci
Maria F. De Marco
Anna Grasso
Giuseppe Spataro
Gabriele Cevenini
Gabriele Messina
spellingShingle Niccolò Vonci
Maria F. De Marco
Anna Grasso
Giuseppe Spataro
Gabriele Cevenini
Gabriele Messina
Association between air changes and airborne microbial contamination in operating rooms
Journal of Infection and Public Health
author_facet Niccolò Vonci
Maria F. De Marco
Anna Grasso
Giuseppe Spataro
Gabriele Cevenini
Gabriele Messina
author_sort Niccolò Vonci
title Association between air changes and airborne microbial contamination in operating rooms
title_short Association between air changes and airborne microbial contamination in operating rooms
title_full Association between air changes and airborne microbial contamination in operating rooms
title_fullStr Association between air changes and airborne microbial contamination in operating rooms
title_full_unstemmed Association between air changes and airborne microbial contamination in operating rooms
title_sort association between air changes and airborne microbial contamination in operating rooms
publisher Elsevier
series Journal of Infection and Public Health
issn 1876-0341
publishDate 2019-11-01
description Background: Control of airborne microbial contamination is important in operating rooms (ORs). To keep airborne contamination low, guidelines should highlight the importance of air turnover. The aims of the study were: (1) to verify the association between air turnover and airborne contamination in ORs; and (2) to identify a statistical relationship between air turnover and airborne microbial contamination. Methods: A cross sectional study was carried out from November 2014 to July 2017 in the teaching Hospital of Siena. Nineteen ORs (14 with turbulent and 5 with laminar flow ventilation) were surveyed a total of 59 times under operating conditions. Air samples were collected with an air sampler. Petri dishes, incubated at 36 °C for 48 h, were used to quantify colony forming units in the samples (CFU). The data was transformed to evaluate several statistically significant nonlinear associations between air turnover, quantified as air changes per hour (ACH) and CFU per cubic meter of air (p < 0.05). Results: A log-linear regression model provided the best fit between ACH and CFU for laminar (p = 0.013; R2 = 0.3911) and turbulent flow systems (p = 0.002; R2 = 0.3443). The corresponding model was: ln(CFU) = (a − b*ACH), where the regression parameters were estimated at a = 4.02 and b = 0.037 for laminar flow and a = 5.24 and b = 0.067 for turbulent flow. Conclusions: Italian guidelines indicate microbial load limits of 20 and 180 CFU/m3 for operating rooms with laminar and turbulent flow ventilation, respectively. The model allowed us to evaluate the minimum number of ACHs to keep CFU within these limits. Ad hoc measurements in other environments can be used to calibrate the relationship between ACH and CFU. Keywords: Operating rooms, Air changes per hour, Airborne bacterial contamination
url http://www.sciencedirect.com/science/article/pii/S1876034119301789
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