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What is the relationship between indoor air quality parameters and airborne microorganisms in hospital environments? A systematic review and meta-analysis

机译:室内空气质量参数与医院环境中的空中微生物之间的关系是什么? 系统审查和荟萃分析

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Airborne microorganisms in hospitals have been associated with several hospital-acquired infections (HAIs), and various measures of indoor air quality (IAQ) parameters such as temperature, relative humidity, carbon dioxide (CO_2), particle mass concentration, and particle size have been linked to pathogen survival or mitigation of pathogen spread. To investigate whether there are quantitative relationships between the concentration of airborne microorganisms and the IAQ in the hospital environment. Web of Science, Scopus and PubMed databases were searched for studies reporting airborne microbial levels and any IAQ parameter(s) in hospital environments, from database inception to October 2020. Pooled effect estimates were determined via random-effects models. Seventeen of 654 studies were eligible for the meta-analysis. The concentration of airborne microbial measured as aerobic colony count (ACC) was significantly correlated with temperature (r = 0.25 [95% CI = 0.06–0.42], p = 0.01), CO_2 concentration (r = 0.53 [95% CI = 0.40–0.64], p ˂ 0.001), particle mass concentration (≤5 μg/m~3; r = 0.40 [95% CI = 0.04–0.66], p = 0.03), and particle size (≤5 and ˃5 μm), (r = 0.51 [95% CI = 0.12–0.77], p = 0.01 and r = 0.55 [95% CI = 0.20–0.78], p = 0.003), respectively, while not being significantly correlated with relative humidity or particulate matter of size >5 μm. Conversely, airborne total fungi (TF) were not significantly correlated with temperature, relative humidity, or CO_2 level. However, there was a significant weak correlation between ACC and TF (r = 0.31 [95% CI = 0.07–0.52], p = 0.013). Although significant correlations exist between ACC and IAQ parameters, the relationship is not definitive; the IAQ parameters may affect the microorganisms but are not responsible for the presence of airborne microorganisms. Environmental parameters could be related to the generating source, survival, dispersion, and deposition rate of microorganisms. Future studies should record IAQ parameters and factors such as healthcare worker presence and the activities carried out such as cleaning, sanitizing, and disinfection protocols. Foot traffic would influence both the generation of microorganisms and their deposition rate onto surfaces in the hospital environment. These data would inform models to improve the understanding of the likely concentration of airborne microorganisms and provide an alternative approach for real-time monitoring of the healthcare environment.
机译:医院中的空中微生物已与几种医院获得的感染(HA,以及温度,相对湿度,二氧化碳(CO_2),颗粒质量浓度和粒径等各种措施。与病原体存活或减轻病原体涂抹相关。调查在医院环境中的空气中微生物浓度与IAQ之间是否存在量化关系。搜索科学网络,SCOPUS和PUBMED数据库的研究报告空中微生物水平和医院环境中的任何IAQ参数,从数据库成立到10月20日。通过随机效应模型确定了汇总效应估计。在654项研究中有符合Meta分析的条件。以有氧菌落计数(ACC)测量的空气传播微生物浓度明显相关(r = 0.25 [95%ci = 0.06-0.42],p = 0.01),CO_2浓度(r = 0.53 [95%ci = 0.40- 0.64],p = 0.001),颗粒质量浓度(≤5μg/ m〜3; r = 0.40 [95%ci = 0.04-0.66],p = 0.03),粒度(≤5和˃5μm), (r = 0.51 [95%CI = 0.12-0.77],P = 0.01和r = 0.55 [95%CI = 0.20-0.78],P = 0.003),而不是显着与相对湿度或颗粒物质相关的尺寸>5μm。相反,空气传播的总真菌(TF)与温度,相对湿度或CO_2水平没有明显相关。然而,ACC和TF之间存在显着的相关性(r = 0.31 [95%CI = 0.07-0.52],p = 0.013)。虽然ACC和IAQ参数之间存在显着相关性,但这种关系并非明确; IAQ参数可能影响微生物,但不对空气传播微生物的存在负责。环境参数可能与微生物的产生源,存活,分散和沉积率有关。未来的研究应该记录IAQ参数和因素,如医疗保健工作者的存在和所进行的活动,如清洁,消毒和消毒方案。脚踏流量会影响微生物的产生及其沉积速度在医院环境中的表面上。这些数据会使模型提供改善对空中微生物的可能集中的理解,并提供了对医疗环境的实时监测的替代方法。

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