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10.1016/j.bja.2020.09.047 http://scihub22266oqcxt.onion/10.1016/j.bja.2020.09.047 33213833!ä!33213833 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Br+J+Anaesth 2021 ; 126 (2): 544-549 Nephropedia Template TP {{tp|p=33213833|t=2021. Minimising exposure to droplet and aerosolised pathogens: a computational fluid dynamics study |pdf=|usr=}}{{33213833}} gab.com Text Minimising exposure to droplet and aerosolised pathogens: a computational fluid dynamics study JO: Br J Anaesth http://www.kidney.de/pget.php?&tw=1&pmid=33213833 #FOAvip BACKGROUND: Hazardous pathogens are spread in either droplets or aerosols produced during aerosol-generating procedures (AGP). Adjuncts minimising exposure of healthcare workers to hazardous pathogens released during AGP may be beneficial. We used state-of-the-art computational fluid dynamics (CFD) modelling to optimise the performance of a custom-designed shield. METHODS: We modelled airflow patterns and trajectories of particles (size range 1-500 mum) emitted during a typical cough using CFD (ANSYS Fluent software, Canonsburg, PA, USA), in the presence and absence of a protective shield enclosing the head of a patient. We modelled the effect of different shield designs, suction tube position, and suction flow rate on particle escape from the shield. RESULTS: Use of the shield prevented escape of 99.1-100% of particles, which were either trapped on the shield walls (16-21%) or extracted via suction (79-82%). At most, 0.9% particles remained floating inside the shield. Suction flow rates (40-160 L min(-1)) had no effect on the final location of particles in a closed system. Particle removal from within the shield was optimal when a suction catheter was placed vertically next to the head of the patient. Addition of multiple openings in the shield reduced the purging performance from 99% at 160 L min(-1) to 67% at 40 L min(-1). CONCLUSION: CFD modelling provides information to guide optimisation of the efficient removal of hazardous pathogens released during AGP from a custom-designed shield. These data are essential to establish before clinical use, pragmatic clinical trials, or both. Twit Text FOAVip Minimising exposure to droplet and aerosolised pathogens: a computational fluid dynamics study ????Br J Anaesth http://www.kidney.de/pget.php?&tw=1&pmid=33213833 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33213833 #FOAvip English Wikipedia <ref>{{Cite pmid|33213833}}</ref> Minimising exposure to droplet and aerosolised pathogens: a computational fluid dynamics study #MMPMID33213833 Perella P; Tabarra M; Hataysal E; Pournasr A; Renfrew I Br J Anaesth 2021[Feb]; 126 (2): 544-549 PMID33213833show ga BACKGROUND: Hazardous pathogens are spread in either droplets or aerosols produced during aerosol-generating procedures (AGP). Adjuncts minimising exposure of healthcare workers to hazardous pathogens released during AGP may be beneficial. We used state-of-the-art computational fluid dynamics (CFD) modelling to optimise the performance of a custom-designed shield. METHODS: We modelled airflow patterns and trajectories of particles (size range 1-500 mum) emitted during a typical cough using CFD (ANSYS Fluent software, Canonsburg, PA, USA), in the presence and absence of a protective shield enclosing the head of a patient. We modelled the effect of different shield designs, suction tube position, and suction flow rate on particle escape from the shield. RESULTS: Use of the shield prevented escape of 99.1-100% of particles, which were either trapped on the shield walls (16-21%) or extracted via suction (79-82%). At most, 0.9% particles remained floating inside the shield. Suction flow rates (40-160 L min(-1)) had no effect on the final location of particles in a closed system. Particle removal from within the shield was optimal when a suction catheter was placed vertically next to the head of the patient. Addition of multiple openings in the shield reduced the purging performance from 99% at 160 L min(-1) to 67% at 40 L min(-1). CONCLUSION: CFD modelling provides information to guide optimisation of the efficient removal of hazardous pathogens released during AGP from a custom-designed shield. These data are essential to establish before clinical use, pragmatic clinical trials, or both. |*Hydrodynamics[MESH] |*Models, Theoretical[MESH] |*Personal Protective Equipment[MESH] |Aerosols[MESH] |COVID-19/*transmission[MESH] |Cough/virology[MESH] |Equipment Design[MESH] |Health Personnel[MESH] |Humans[MESH] |Infectious Disease Transmission, Patient-to-Professional/*prevention & control[MESH]Minimising exposure to droplet and aerosolised pathogens: a computatio(epmc).pdf DeepDyve Pubget Overpricing