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Association between air changes and airborne microbial contamination in operating rooms

机译:空气变化与手术室中的空气传播微生物污染之间的关联

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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; Rsup2/sup?=?0.3911) and turbulent flow systems (p?=?0.002; Rsup2/sup?=?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/msup3/sup 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.
机译:空中微生物污染的背景控制在手术室(ORS)中很重要。为了保持空气污染,指南应该突出空气营业额的重要性。该研究的目的是:(1)核实空中营业额与ors空中污染之间的关联; (2)识别空运成交量与空气传播微生物污染之间的统计关系。方法采用横截面研究于2014年11月至2017年7月在锡耶纳教学院进行。在运行条件下,每十九岁或多(14带湍流和湍流5),共度调查了59次。用空气采样器收集空气样品。培养的培养皿,在36Ω℃下孵育48℃,用于量化样品中的菌落形成单元(CFU)。将数据转化为评估空转之间的若干统计上显着的非线性关联,量化为每小时的空气变化(ACH)和每立方米的CFU(P?<?0.05)。结果Log-Linear回归模型提供了Laminar的ACH和CFU之间的最佳拟合(P?= 0.013; R 2 ?=?0.3911)和湍流系统(P?= 0.002; r 2 ?=?0.3443)。相应的模型是:ln(cfu)?=?(a ??? b * ach),其中回归参数估计在a?=Δ4.02和b?= 0.037,用于层流动,a?= 5.24和B?=ω= 0.067湍流。结论意大利指南表示分别为带有层流和湍流通风的手术室的20和180°CFU / M 3 的微生物载荷限制。该模型允许我们评估在这些限制内保持CFU的最小ACH数量。其他环境中的AD HOC测量可用于校准ACH和CFU之间的关系。

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