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Townsend L, Marron L, O'Brien K, Walsh C, Domegan L, McGrath J, Kenny C, Fleming C, Bergin C. Investigating incidence of and factors associated with SARS-CoV-2 infection over a nine-month period in a highly-vaccinated healthcare worker cohort. QJM 2024; 117:638-646. [PMID: 38759112 DOI: 10.1093/qjmed/hcae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/23/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Healthcare workers (HCWs) are at increased risk of SARS-CoV-2 infection. This risk persists despite the implementation of mitigating factors, including vaccination. The ongoing impact of incident SARS-CoV-2 infection and symptomatic COVID-19 disease in vaccinated HCWs is poorly understood. AIM We aimed to describe the epidemiology of incident SARS-CoV-2 infections, as well as investigating the serological, clinical and demographic factors associated with developing infection. DESIGN This was a multi-centre prospective longitudinal study followed a HCW cohort over a nine-month period. METHODS Spike and nucleocapsid SARS-CoV-2 antibodies were measured at enrolment. Vaccination status, demographics and medical history were collated. Incident infection over the study period was recorded. Multivariable regression models investigated factors associated with nucleocapsid antibody status, incident infection and symptomatic infection. RESULTS About 1260 participants took part, of whom n = 1006 were anti-nucleocapsid antibody positive. Negative anti-nucleocapsid antibody was associated with older age and having a known SARS-CoV-2 acquisition risk. There were n = 274 (22%) incident infections, with n = 225 (87%) diagnosed using antigen tests. Incident infections were associated with lower anti-nucleocapsid titres, increased time since previous SARS-CoV-2 infection, and having a known acquisition risk, but were not associated with vaccination status. CONCLUSIONS This study demonstrates a high rate of incident SARS-CoV-2 infection amongst HCWs, despite broad vaccine coverage. There is a shift in diagnostics, from PCR to antigen testing. We identify at-risk groups for incident infection, and these should continue be targeted as part of risk reduction campaigns. Vaccination status and prior infection status alone are not surrogates for protection.
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Affiliation(s)
- Liam Townsend
- Department of Infectious Diseases, St James's Hospital, Dublin, D08 NHY1, Ireland
| | - Louise Marron
- Health Protection Surveillance Centre, Dublin, D01 A4A3, Ireland
- ECDC Fellowship Programme, Field Epidemiology Path (EPIET), European Centre for Disease Prevention and Control, Stockholm, Gustav III:s Boulevard 40, Stockholm, 169 73 Solna, Sweden
| | - Katie O'Brien
- Health Protection Surveillance Centre, Dublin, D01 A4A3, Ireland
| | - Cathal Walsh
- Health Protection Surveillance Centre, Dublin, D01 A4A3, Ireland
- Department of Biostatistics, Trinity College Dublin, Dublin, College Green, Dublin, D02 PN40, Ireland
| | - Lisa Domegan
- Health Protection Surveillance Centre, Dublin, D01 A4A3, Ireland
| | - Jonathan McGrath
- Department of Infectious Diseases, St James's Hospital, Dublin, D08 NHY1, Ireland
| | - Claire Kenny
- Department of Infectious Diseases, University Hospital Galway, Galway, Newcastle Road, Galway, H91 YR71, Ireland
| | - Catherine Fleming
- Department of Infectious Diseases, University Hospital Galway, Galway, Newcastle Road, Galway, H91 YR71, Ireland
| | - Colm Bergin
- Department of Infectious Diseases, St James's Hospital, Dublin, D08 NHY1, Ireland
- Department of Clinical Medicine, Trinity College Dublin, Dublin, College Green, Dublin, D02 PN40, Ireland
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Romera Martínez I, Avendaño-Solá C, Villegas Da Ros C, Bosch Llobet A, García Erce JA, González Fraile MI, Guerra Domínguez L, Vicuña Andrés I, Anguita Velasco J, González Rodríguez VP, Contreras E, Urcelay Uranga S, Pajares Herraiz ÁL, Jimenez-Marco T, Ojea Pérez AM, Arroyo Rodríguez JL, Pérez-Olmeda M, Ramos-Martínez A, Velasco-Iglesias A, Bueno Cabrera JL, Duarte RF. Factors related to the development of high antibody titres against SARS-CoV-2 in convalescent plasma donors from the ConPlas-19 trial. Vox Sang 2024; 119:27-33. [PMID: 37986640 DOI: 10.1111/vox.13561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/15/2023] [Accepted: 10/24/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND AND OBJECTIVES The efficacy of COVID-19 convalescent plasma (CP) associates with high titres of antibodies. ConPlas-19 clinical trial showed that CP reduces the risk of progression to severe COVID-19 at 28 days. Here, we aim to study ConPlas-19 donors and characteristics that associate with high anti-SARS-CoV-2 antibody levels. MATERIALS AND METHODS Four-hundred donors were enrolled in ConPlas-19. The presence and titres of anti-SARS-CoV-2 antibodies were evaluated by EUROIMMUN anti-SARS-CoV-2 S1 IgG ELISA. RESULTS A majority of 80.3% of ConPlas-19 donor candidates had positive EUROIMMUN test results (ratio ≥1.1), and of these, 51.4% had high antibody titres (ratio ≥3.5). Antibody levels decline over time, but nevertheless, out of 37 donors tested for an intended second CP donation, over 90% were still EUROIMMUN positive, and nearly 75% of those with high titres maintained high titres in the second sample. Donors with a greater probability of developing high titres of anti-SARS-CoV-2 antibodies include those older than 40 years of age (RR 2.06; 95% CI 1.24-3.42), with more than 7 days of COVID-19 symptoms (RR 1.89; 95% CI 1.05-3.43) and collected within 4 months from infection (RR 2.61; 95% CI 1.16-5.90). Male donors had a trend towards higher titres compared with women (RR 1.67; 95% CI 0.91-3.06). CONCLUSION SARS-CoV-2 CP candidate donors' age, duration of COVID-19 symptoms and time from infection to donation associate with the collection of CP with high antibody levels. Beyond COVID-19, these data are relevant to inform decisions to optimize the CP donor selection process in potential future outbreaks.
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Affiliation(s)
- Irene Romera Martínez
- Department of Hematology, Hospital Universitario Puerta de Hierro Majadahonda, Instituto de Investigación Sanitaria Hospital Puerta de Hierro-Segovia de Arana, Madrid, Spain
| | - Cristina Avendaño-Solá
- Department of Clinical Pharmacology, Hospital Universitario Puerta de Hierro Majadahonda, Instituto de Investigación Sanitaria Hospital Puerta de Hierro-Segovia de Arana, Madrid, Spain
| | | | | | - José Antonio García Erce
- Banco de Sangre y Tejidos de Navarra, Servicio Navarro de Salud, Osasunbidea, Pamplona, Spain
- Grupo Español de Rehabilitación Multimodal (GERM), Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain
- PBM Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | | | - Luisa Guerra Domínguez
- Department of Hematology, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas, Spain
| | | | - Javier Anguita Velasco
- Department of Hematology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | | | | | | | | | | | | | | | - Mayte Pérez-Olmeda
- Laboratorio de Serología, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
- CIBERINFEC, ISCIII-CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio Ramos-Martínez
- Infectious Diseases Unit, Department of Internal Medicine, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain
| | - Ana Velasco-Iglesias
- Spanish Clinical Research Network (ISCIII), Instituto de Investigación Sanitaria Hospital Puerta de Hierro-Segovia de Arana, Madrid, Spain
| | - José Luis Bueno Cabrera
- Department of Hematology, Hospital Universitario Puerta de Hierro Majadahonda, Instituto de Investigación Sanitaria Hospital Puerta de Hierro-Segovia de Arana, Madrid, Spain
| | - Rafael F Duarte
- Department of Hematology, Hospital Universitario Puerta de Hierro Majadahonda, Instituto de Investigación Sanitaria Hospital Puerta de Hierro-Segovia de Arana, Madrid, Spain
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Lopes-Luz L, Fogaça MBT, Bentivoglio-Silva BG, Saavedra DP, Alves LM, Franca LV, Crispim GJB, de Andrade IA, Ribeiro BM, Nagata T, Bührer-Sékula S. A novel highly specific biotinylated MAC-ELISA for detection of anti-SARS-CoV-2 nucleocapsid antigen IgM antibodies during the acute phase of COVID-19. Braz J Microbiol 2023; 54:2893-2901. [PMID: 37930615 PMCID: PMC10689632 DOI: 10.1007/s42770-023-01160-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/19/2023] [Indexed: 11/07/2023] Open
Abstract
The gold standard for diagnosing COVID-19 in the acute phase is RT-qPCR. However, this molecular technique can yield false-negative results when nasopharyngeal swab collection is not conducted during viremia. To mitigate this challenge, the enzyme-linked immunosorbent assay (ELISA) identifies anti-SARS-CoV-2 IgM antibodies in the initial weeks after symptom onset, facilitating early COVID-19 diagnosis. This study introduces a novel and highly specific IgM antibody capture ELISA (MAC-ELISA), which utilizes biotinylated recombinant SARS-CoV-2 nucleocapsid (N) antigen produced in plants. Our biotinylated approach streamlines the procedure by eliminating the requirement for an anti-N-conjugated antibody, circumventing the need for peroxidase-labeled antigens, and preventing cross-reactivity with IgM autoantibodies such as rheumatoid factor. Performance evaluation of the assay involved assessing sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy using 682 RT-qPCR-positive samples, categorized by weeks relative to symptoms onset. Negative controls included 205 pre-pandemic serum samples and 46 serum samples from patients diagnosed with other diseases. Based on a cut-off of 0.087 and ROC curve analysis, the highest sensitivity of 81.2% was observed in the 8-14 days post-symptom (dps) group (2nd week), followed by sensitivities of 73.8% and 68.37% for the 1-7 dps (1st week) and 15-21 dps groups (3rd week), respectively. Specificity was consistently 100% across all groups. This newly developed biotinylated N-MAC-ELISA offers a more streamlined and cost-effective alternative to molecular diagnostics. It enables simultaneous testing of multiple samples and effectively identifies individuals with false-negative results.
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Affiliation(s)
- Leonardo Lopes-Luz
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A Alliance, Goiânia, GO, 74605-050, Brazil
| | - Matheus Bernardes Torres Fogaça
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A Alliance, Goiânia, GO, 74605-050, Brazil
| | | | - Djairo Pastor Saavedra
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A Alliance, Goiânia, GO, 74605-050, Brazil
| | - Luana Michele Alves
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A Alliance, Goiânia, GO, 74605-050, Brazil
| | - Luísa Valério Franca
- Departamento de Biologia Celular, Campus Darcy Ribeiro, Universidade de Brasília, Brasília, DF, 70910-900, Brazil
| | | | - Ikaro Alves de Andrade
- Departamento de Biologia Celular, Campus Darcy Ribeiro, Universidade de Brasília, Brasília, DF, 70910-900, Brazil
| | - Bergmann Morais Ribeiro
- Departamento de Biologia Celular, Campus Darcy Ribeiro, Universidade de Brasília, Brasília, DF, 70910-900, Brazil
| | - Tatsuya Nagata
- Departamento de Biologia Celular, Campus Darcy Ribeiro, Universidade de Brasília, Brasília, DF, 70910-900, Brazil
| | - Samira Bührer-Sékula
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil.
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A Alliance, Goiânia, GO, 74605-050, Brazil.
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Tang J, Liu H, Wang Q, Gu X, Wang J, Li W, Luo Y, Li Y, Deng L, Luo Y, Du X, Tan D, Fu X, Chen X. Predictors of high SARS-CoV-2 immunoglobulin G titers in COVID-19 convalescent whole-blood donors: a cross-sectional study in China. Front Immunol 2023; 14:1191479. [PMID: 37388736 PMCID: PMC10303911 DOI: 10.3389/fimmu.2023.1191479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/02/2023] [Indexed: 07/01/2023] Open
Abstract
Background Demographic information has been shown to help predict high antibody titers of COVID-19 convalescent plasma (CCP) in CCP donors. However, there is no research on the Chinese population and little evidence on whole-blood donors. Therefore, we aimed to investigate these associations among Chinese blood donors after SARS-CoV-2 infection. Methods In this cross-sectional study, 5,064 qualified blood donors with confirmed or suspected SARS-CoV-2 infection completed a self-reported questionnaire and underwent tests of SARS-CoV-2 Immunoglobulin G (IgG) antibody and ABO blood type. Logistic regression models were used to calculate odds ratios (ORs) for high SARS-CoV-2 IgG titers according to each factor. Results Totally, 1,799 participants (with SARS-CoV-2 IgG titers≥1:160) had high-titer CCPs. Multivariable analysis showed that a 10-year increment in age and earlier donation were associated with higher odds of high-titer CCP, while medical personnel was associated with lower odds. The ORs (95% CIs) of high-titer CCP were 1.17 (1.10-1.23, p< 0.001) and 1.41 (1.25-1.58, p< 0.001) for each 10-year increment in age and earlier donation, respectively. The OR of high-titer CCP was 0.75 (0.60-0.95, p = 0.02) for medical personnel. Female early donors were associated with increased odds of high-titer CCP, but this association was insignificant for later donors. Donating after 8 weeks from the onset was associated with decreased odds of having high-titer CCP compared to donating within 8 weeks from the onset, and the HR was 0.38 (95% CI: 0.22-0.64, p <0.001). There was no significant association between ABO blood type or race and the odds of high-titer CCP. Discussion Older age, earlier donation, female early donors, and non-medical-related occupations are promising predictors of high-titer CCP in Chinese blood donors. Our findings highlight the importance of CCP screening at the early stage of the pandemic.
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Affiliation(s)
- Jingyun Tang
- Blood Research Laboratory, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Humin Liu
- Department of Blood Testing, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Qing Wang
- Department of Blood Collection, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Xiaobo Gu
- Department of Blood Collection, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Jia Wang
- Department of Blood Collection, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Wenjun Li
- Department of Blood Testing, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Yinglan Luo
- Department of Blood Testing, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Yan Li
- Department of Blood Collection, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Lan Deng
- Department of Blood Collection, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Yue Luo
- Blood Research Laboratory, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Xinman Du
- Blood Research Laboratory, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Donglin Tan
- Department of Blood Processing, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Xuemei Fu
- Blood Research Laboratory, Chengdu Blood Center, Chengdu, Sichuan, China
| | - Xue Chen
- Blood Research Laboratory, Chengdu Blood Center, Chengdu, Sichuan, China
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