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Airborne bacterial and PM characterization in intensive care units: correlations with physical control parameters.
AlRayess, S; Sleiman, A; Alameddine, I; Abou Fayad, A; Matar, G M; El-Fadel, M.
Afiliação
  • AlRayess S; Department of Civil & Environmental Engineering, American University of Beirut, Beirut, Lebanon.
  • Sleiman A; Department of Experimental Pathology, Immunology and Microbiology, American University of Beirut, Beirut, Lebanon.
  • Alameddine I; Center for Infectious Disease Research (CIDR), American University of Beirut, Beirut, Lebanon.
  • Abou Fayad A; WHO Collaborating Center for Reference and Research On Bacterial Pathogens, Beirut, Lebanon.
  • Matar GM; Department of Civil & Environmental Engineering, American University of Beirut, Beirut, Lebanon.
  • El-Fadel M; Department of Experimental Pathology, Immunology and Microbiology, American University of Beirut, Beirut, Lebanon.
Air Qual Atmos Health ; 15(10): 1869-1880, 2022.
Article em En | MEDLINE | ID: mdl-35815238
ABSTRACT
In this study, the spatial variation of airborne bacteria in intensive care units (ICUs) was characterized. Fine particulate matter and several physical parameters were also monitored including temperature and relative humidity. The results showed that the total bacterial load ranged between 20.4 and 134.3 CFU/m3 across the ICUs. Bacterial cultures of the collected samples did not isolate any multi-drug-resistant Gram-negative bacilli indicating the absence of such aerosolized pathogens in the ICUs. Meanwhile, particulate matter levels in several ICUs were found to exceed the international guidelines set for 24-h PM exposure. Moreover, examining bacterial load contribution by size suggested that bacteria with sizes less than 0.65 µm contributed the least to the total bacterial loads, while those with sizes between 0.65 and 1.1 µm contributed the most. A multiple linear regression model was also built to predict the bacterial loads in the ICUs. The regression analysis explained 77% of the variability observed in the measured bacterial concentrations. The model showed that the level of activity in the ICU rooms as well as its occupancy level had strong positive correlations with bacterial loads, while distance away from the patient had a non-linear relationship with measured loads. No statistically significant correlation was found between bacterial load and particulate matter concentrations.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Air Qual Atmos Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Líbano

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Air Qual Atmos Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Líbano