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10.1111/trf.16317 http://scihub22266oqcxt.onion/10.1111/trf.16317 33590906!8013336!33590906     free     free     free 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 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 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Transfusion 2021 ; 61 (5): 1370-1376 Nephropedia Template TP {{tp|p=33590906|t=2021. Factors driving availability of COVID-19 convalescent plasma: Insights from a demand, production, and supply model |pdf=|usr=}}{{33590906}} gab.com Text Factors driving availability of COVID-19 convalescent plasma: Insights from a demand, production, and supply model JO: Transfusion http://www.kidney.de/pget.php?&tw=1&pmid=33590906 #FOAvip BACKGROUND: COVID-19 Convalescent Plasma (CCP) is a promising treatment for COVID-19. Blood collectors have rapidly scaled up collection and distribution programs. METHODS: We developed a detailed simulation model of CCP donor recruitment, collection, production, and distribution processes. We ran our model using varying epidemic trajectories from 11 U.S. states and with key input parameters drawn from wide ranges of plausible values to identify key drivers of ability to scale collections capacity and meet demand for CCP. RESULTS: Utilization of available CCP collections capacity followed increases in COVID-19 hospital discharges with a lag. Utilization never exceeded 75% of available capacity in most simulations. Demand was met for most of the simulation period in most simulations, but a substantial portion of demand went unmet during early, sharp increases in hospitalizations. For epidemic trajectories that included multiple epidemic peaks, second wave demand could generally be met due to stockpiles established during the decline from an earlier peak. Apheresis machine capacity (number of machines) and probability that COVID-19 recovered individuals are willing to donate were the most important supply-side drivers of ability to meet demand. Recruitment capacity was important in states with early peaks. CONCLUSIONS: Epidemic trajectory was the most important determinant of ability to meet demand for CCP, although our simulations revealed several contributing operational drivers of CCP program success. Twit Text FOAVip Factors driving availability of COVID-19 convalescent plasma: Insights from a demand, production, and supply model ????Transfusion http://www.kidney.de/pget.php?&tw=1&pmid=33590906 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33590906 #FOAvip English Wikipedia <ref>{{Cite pmid|33590906}}</ref> Factors driving availability of COVID-19 convalescent plasma: Insights from a demand, production, and supply model #MMPMID33590906 Russell WA; Grebe E; Custer B Transfusion 2021[May]; 61 (5): 1370-1376 PMID33590906show ga BACKGROUND: COVID-19 Convalescent Plasma (CCP) is a promising treatment for COVID-19. Blood collectors have rapidly scaled up collection and distribution programs. METHODS: We developed a detailed simulation model of CCP donor recruitment, collection, production, and distribution processes. We ran our model using varying epidemic trajectories from 11 U.S. states and with key input parameters drawn from wide ranges of plausible values to identify key drivers of ability to scale collections capacity and meet demand for CCP. RESULTS: Utilization of available CCP collections capacity followed increases in COVID-19 hospital discharges with a lag. Utilization never exceeded 75% of available capacity in most simulations. Demand was met for most of the simulation period in most simulations, but a substantial portion of demand went unmet during early, sharp increases in hospitalizations. For epidemic trajectories that included multiple epidemic peaks, second wave demand could generally be met due to stockpiles established during the decline from an earlier peak. Apheresis machine capacity (number of machines) and probability that COVID-19 recovered individuals are willing to donate were the most important supply-side drivers of ability to meet demand. Recruitment capacity was important in states with early peaks. CONCLUSIONS: Epidemic trajectory was the most important determinant of ability to meet demand for CCP, although our simulations revealed several contributing operational drivers of CCP program success. |*Blood Donors[MESH] |*Convalescence[MESH] |*Models, Biological[MESH] |Antibodies, Viral/*blood/therapeutic use[MESH] |COVID-19 Serotherapy[MESH] |COVID-19/*blood/*therapy[MESH] |Humans[MESH] |Immunization, Passive[MESH]Factors driving availability of COVID-19 convalescent plasma: Insights(epmc).pdf DeepDyve Pubget Overpricing