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10.2450/2021.0324-20 http://scihub22266oqcxt.onion/10.2450/2021.0324-20 33539289!8092034!33539289     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Blood+Transfus 2021 ; 19 (3): 181-189 Nephropedia Template TP {{tp|p=33539289|t=2021. SARS-CoV-2 seroprevalence trends in healthy blood donors during the COVID-19 outbreak in Milan |pdf=|usr=}}{{33539289}} gab.com Text SARS-CoV-2 seroprevalence trends in healthy blood donors during the COVID-19 outbreak in Milan JO: Blood Transfus http://www.kidney.de/pget.php?&tw=1&pmid=33539289 #FOAvip BACKGROUND: The Milan metropolitan area in Northern Italy was among the most severely hit by the SARS-CoV-2 outbreak. The aim of this study was to examine the seroprevalence trends of SARS-CoV-2 in healthy asymptomatic adults, and the risk factors and laboratory correlates of positive tests. MATERIALS AND METHODS: We conducted a cross-sectional study in a random sample of blood donors, who were asymptomatic at the time of evaluation, at the beginning of the first phase (February 24(th) to April 8(th) 2020; n=789). Presence of IgM/IgG antibodies against the SARS-CoV-2-Nucleocapsid protein was assessed by a lateral flow immunoassay. RESULTS: The test had a 100/98.3 sensitivity/specificity (n=32/120 positive/negative controls, respectively), and the IgG test was validated in a subset by an independent ELISA against the Spike protein (n=34, p<0.001). At the start of the outbreak, the overall adjusted seroprevalence of SARS-CoV-2 was 2.7% (95% CI: 0.3-6%; p<0.0001 vs 120 historical controls). During the study period, characterised by a gradual implementation of social distancing measures, there was a progressive increase in the adjusted seroprevalence to 5.2% (95% CI: 2.4-9.0; 4.5%, 95% CI: 0.9-9.2% according to a Bayesian estimate) due to a rise in IgG reactivity to 5% (95% CI: 2.8-8.2; p=0.004 for trend), but there was no increase in IgM(+) (p=not significant). At multivariate logistic regression analysis, IgG reactivity was more frequent in younger individuals (p=0.043), while IgM reactivity was more frequent in individuals aged >45 years (p=0.002). DISCUSSION: SARS-CoV-2 infection was already circulating in Milan at the start of the outbreak. The pattern of IgM/IgG reactivity was influenced by age: IgM was more frequently detected in participants aged >45 years. By the end of April, 2.4-9.0% of healthy adults had evidence of seroconversion. Twit Text FOAVip SARS-CoV-2 seroprevalence trends in healthy blood donors during the COVID-19 outbreak in Milan ????Blood Transfus http://www.kidney.de/pget.php?&tw=1&pmid=33539289 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33539289 #FOAvip English Wikipedia <ref>{{Cite pmid|33539289}}</ref> SARS-CoV-2 seroprevalence trends in healthy blood donors during the COVID-19 outbreak in Milan #MMPMID33539289 Valenti L; Bergna A; Pelusi S; Facciotti F; Lai A; Tarkowski M; Lombardi A; Berzuini A; Caprioli F; Santoro L; Baselli G; Ventura CD; Erba E; Bosari S; Galli M; Zehender G; Prati D Blood Transfus 2021[May]; 19 (3): 181-189 PMID33539289show ga BACKGROUND: The Milan metropolitan area in Northern Italy was among the most severely hit by the SARS-CoV-2 outbreak. The aim of this study was to examine the seroprevalence trends of SARS-CoV-2 in healthy asymptomatic adults, and the risk factors and laboratory correlates of positive tests. MATERIALS AND METHODS: We conducted a cross-sectional study in a random sample of blood donors, who were asymptomatic at the time of evaluation, at the beginning of the first phase (February 24(th) to April 8(th) 2020; n=789). Presence of IgM/IgG antibodies against the SARS-CoV-2-Nucleocapsid protein was assessed by a lateral flow immunoassay. RESULTS: The test had a 100/98.3 sensitivity/specificity (n=32/120 positive/negative controls, respectively), and the IgG test was validated in a subset by an independent ELISA against the Spike protein (n=34, p<0.001). At the start of the outbreak, the overall adjusted seroprevalence of SARS-CoV-2 was 2.7% (95% CI: 0.3-6%; p<0.0001 vs 120 historical controls). During the study period, characterised by a gradual implementation of social distancing measures, there was a progressive increase in the adjusted seroprevalence to 5.2% (95% CI: 2.4-9.0; 4.5%, 95% CI: 0.9-9.2% according to a Bayesian estimate) due to a rise in IgG reactivity to 5% (95% CI: 2.8-8.2; p=0.004 for trend), but there was no increase in IgM(+) (p=not significant). At multivariate logistic regression analysis, IgG reactivity was more frequent in younger individuals (p=0.043), while IgM reactivity was more frequent in individuals aged >45 years (p=0.002). DISCUSSION: SARS-CoV-2 infection was already circulating in Milan at the start of the outbreak. The pattern of IgM/IgG reactivity was influenced by age: IgM was more frequently detected in participants aged >45 years. By the end of April, 2.4-9.0% of healthy adults had evidence of seroconversion. |*Pandemics[MESH] |Adult[MESH] |Age Factors[MESH] |Antibodies, Viral/blood[MESH] |Asymptomatic Infections/*epidemiology[MESH] |Bayes Theorem[MESH] |Blood Donors/*statistics & numerical data[MESH] |COVID-19 Serological Testing/methods[MESH] |COVID-19/*epidemiology/immunology[MESH] |Confidence Intervals[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Humans[MESH] |Immunoglobulin G/blood[MESH] |Immunoglobulin M/blood[MESH] |Italy/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Regression Analysis[MESH] |Risk Factors[MESH] |SARS-CoV-2/*immunology[MESH] |Seroconversion[MESH] |Seroepidemiologic Studies[MESH]SARS-CoV-2 seroprevalence trends in healthy blood donors during the CO(epmc).pdf DeepDyve Pubget Overpricing