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10.1016/j.tracli.2020.10.008 http://scihub22266oqcxt.onion/10.1016/j.tracli.2020.10.008 33096207!7575425!33096207     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Transfus+Clin+Biol 2021 ; 28 (1): 51-54 Nephropedia Template TP {{tp|p=33096207|t=2021. Serum pooling for rapid expansion of anti-SARS-CoV-2 antibody testing capacity |pdf=|usr=}}{{33096207}} gab.com Text Serum pooling for rapid expansion of anti-SARS-CoV-2 antibody testing capacity JO: Transfus Clin Biol http://www.kidney.de/pget.php?&tw=1&pmid=33096207 #FOAvip OBJECTIVES: Examine possible pooling strategies designed to expand SARS-CoV-2 serological testing capacity. METHODS: Negative pools were assessed to determine optimal optical density (OD) cutoffs, followed by spiking weak or strong positive samples to assess initial assay performance. Samples were then randomly subjected to pool and individual testing approaches. RESULTS: Single positive specimens consistently converted pools of 5, 10, or 20 into positive outcomes. However, weaker IgG-positive samples failed to similarly convert pools of 50 to a positive result. In contrast, a stronger individual positive sample converted all pools tested into positive outcomes. Finally, examination of 150 samples configured into pools of 5, 10, 20 or 50 accurately predicted the presence of positive or negative specimens within each pool. CONCLUSIONS: These results suggest that pooling strategies may allow expansion of serological testing capacity. While limitations exist, such strategies may aid in large-scale epidemiological screening or identification of optimal convalescent plasma donors. Twit Text FOAVip Serum pooling for rapid expansion of anti-SARS-CoV-2 antibody testing capacity ????Transfus Clin Biol http://www.kidney.de/pget.php?&tw=1&pmid=33096207 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33096207 #FOAvip English Wikipedia <ref>{{Cite pmid|33096207}}</ref> Serum pooling for rapid expansion of anti-SARS-CoV-2 antibody testing capacity #MMPMID33096207 Allen JWL; Verkerke H; Owens J; Saeedi B; Boyer D; Shin S; Roback JD; Neish AS; Stowell SR Transfus Clin Biol 2021[Feb]; 28 (1): 51-54 PMID33096207show ga OBJECTIVES: Examine possible pooling strategies designed to expand SARS-CoV-2 serological testing capacity. METHODS: Negative pools were assessed to determine optimal optical density (OD) cutoffs, followed by spiking weak or strong positive samples to assess initial assay performance. Samples were then randomly subjected to pool and individual testing approaches. RESULTS: Single positive specimens consistently converted pools of 5, 10, or 20 into positive outcomes. However, weaker IgG-positive samples failed to similarly convert pools of 50 to a positive result. In contrast, a stronger individual positive sample converted all pools tested into positive outcomes. Finally, examination of 150 samples configured into pools of 5, 10, 20 or 50 accurately predicted the presence of positive or negative specimens within each pool. CONCLUSIONS: These results suggest that pooling strategies may allow expansion of serological testing capacity. While limitations exist, such strategies may aid in large-scale epidemiological screening or identification of optimal convalescent plasma donors. |Antibodies, Viral/*blood[MESH] |COVID-19 Serological Testing/instrumentation/*methods[MESH] |COVID-19/blood/*diagnosis[MESH] |Enzyme-Linked Immunosorbent Assay/instrumentation/*methods[MESH] |Humans[MESH] |Immunoglobulin G/*blood[MESH] |Nephelometry and Turbidimetry[MESH] |SARS-CoV-2/*immunology[MESH] |Specimen Handling/*methods[MESH]Serum pooling for rapid expansion of anti-SARS-CoV-2 antibody testing (epmc).pdf DeepDyve Pubget Overpricing