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1.
Clin Infect Dis ; 72(12): e1004-e1009, 2021 06 15.
Article in English | MEDLINE | ID: mdl-33252659

ABSTRACT

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), was first identified in Wuhan, China, in December 2019, with subsequent worldwide spread. The first US cases were identified in January 2020. METHODS: To determine if SARS-CoV-2-reactive antibodies were present in sera prior to the first identified case in the United States on 19 January 2020, residual archived samples from 7389 routine blood donations collected by the American Red Cross from 13 December 2019 to 17 January 2020 from donors resident in 9 states (California, Connecticut, Iowa, Massachusetts, Michigan, Oregon, Rhode Island, Washington, and Wisconsin) were tested at the Centers for Disease Control and Prevention for anti-SARS-CoV-2 antibodies. Specimens reactive by pan-immunoglobulin (pan-Ig) enzyme-linked immunosorbent assay (ELISA) against the full spike protein were tested by IgG and IgM ELISAs, microneutralization test, Ortho total Ig S1 ELISA, and receptor-binding domain/ACE2 blocking activity assay. RESULTS: Of the 7389 samples, 106 were reactive by pan-Ig. Of these 106 specimens, 90 were available for further testing. Eighty-four of 90 had neutralizing activity, 1 had S1 binding activity, and 1 had receptor-binding domain/ACE2 blocking activity >50%, suggesting the presence of anti-SARS-CoV-2-reactive antibodies. Donations with reactivity occurred in all 9 states. CONCLUSIONS: These findings suggest that SARS-CoV-2 may have been introduced into the United States prior to 19 January 2020.


Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Viral , Blood Donors , China , Connecticut , Enzyme-Linked Immunosorbent Assay , Humans , Immunoglobulin G , Iowa , Massachusetts , Michigan , Oregon , Rhode Island , Spike Glycoprotein, Coronavirus , Washington , Wisconsin
2.
Transfusion ; 61 Suppl 2: S36-S43, 2021 09.
Article in English | MEDLINE | ID: mdl-33990963

ABSTRACT

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has disrupted healthcare services worldwide. However, little has been reported regarding the impact on blood utilization. We quantified the impact of COVID-19 on blood utilization and discards among facilities reporting to the National Healthcare Safety Network Hemovigilance Module. METHODS: Facilities continuously reporting data, during January 2016-June 2020, on transfused and discarded blood components, stratified by component type (red blood cells [RBC], platelets, and plasma), were included. Interrupted time-series analysis with generalized estimating equations, adjusting for facility surgical volume and seasonality, was used to quantify changes in blood utilization and discards relative to a Centers for Medicare & Medicaid Services notification delaying nonessential medical procedures (March 2020). RESULTS: Seventy-two facilities included in the analyses, on average, transfused 44,548 and discarded 2,202 blood components monthly. Following the March 2020 notification and after multivariable adjustment, RBC and platelet utilization declined, -9.9% (p < .001) and -13.6% (p = .014), respectively. Discards increased for RBCs (30.2%, p = .047) and platelets (60.4%, p = .002). No statistically significant change in plasma was found. Following these abrupt changes, blood utilization and discards rebounded toward baseline with RBC utilization increasing by 5.7% (p < .001), and platelet and RBC discards decreasing -16.4% (<0.001) and -12.7 (p = .001), respectively. CONCLUSION: Following notification delaying elective surgical procedures, blood utilization declined substantially while blood discards increased, resulting in substantial wastage of blood products. Ongoing and future pandemic response efforts should consider the impact of interventions on blood supply and demand to ensure blood availability.


Subject(s)
Blood Safety , Blood Transfusion/statistics & numerical data , COVID-19/epidemiology , Blood Component Transfusion/statistics & numerical data , COVID-19/pathology , COVID-19/virology , Data Collection , Delivery of Health Care , Elective Surgical Procedures/statistics & numerical data , Facilities and Services Utilization/statistics & numerical data , Humans , Interrupted Time Series Analysis , Pandemics , SARS-CoV-2/isolation & purification , United States/epidemiology
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