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Nielsen NM, Spiliopoulos L, Hansen JV, Videbech P, Hviid A. SARS-CoV-2 Infection and Risk of Postacute Psychiatric and Neurologic Diagnoses: A Nationwide Danish Cohort Study. Neurology 2024; 102:e208113. [PMID: 38382013 DOI: 10.1212/wnl.0000000000208113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 11/16/2023] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The extent and burden of postacute psychiatric and neurologic manifestations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are not yet fully understood. To evaluate the association between SARS-CoV-2 infection and postacute manifestations of psychiatric and neurologic disorders, we conducted a nationwide cohort study including the entire Danish population aged 12 years or older on March 1, 2020. METHODS Individuals were followed up for SARS-CoV-2 infection and diagnosis of subsequent psychiatric and neurologic disorders from March 1, 2020, to January 31, 2023, using the Danish nationwide coronavirus disease 2019 (COVID-19) test surveillance database and the Danish National Patient Registry. The main period of interest was 1-12 months after infection. Incidence rate ratios (IRRs) of new onset of 11 psychiatric and 30 neurologic disorders were calculated by comparing incidence rates of disorders between SARS-CoV-2-positive individuals and individuals without a positive test (nonpositive individuals). Stratified analyses were conducted according to COVID-19 vaccination status, variant period, age, sex, and severity of infection. RESULTS Overall, 1,775,639 individuals in the study cohort (n = 3,239,008) were tested SARS-CoV-2 positive during follow-up. SARS-CoV-2-positive individuals compared with nonpositive individuals were at 24% reduced risk of any psychiatric disease (IRR 0.76, 95% CI 0.74-0.78) in the postacute period. The risk of any neurologic disorder was slightly higher among SARS-CoV-2-positive individuals than among those without a positive test (IRR 1.05, 95% CI 1.04-1.07). IRRs for specific disorders varied considerably from a 3.9-fold increased risk of change in sense of smell or taste (IRR 3.91, 95% CI 2.77-5.53) to a 29% reduced risk of dementia (IRR 0.71, 95% CI 0.65-0.78). The severity of infection and vaccination status, more so than age, sex, and variant, were found to significantly influence the stratified IRRs. Compared with nonpositive individuals, hospitalized patients with COVID-19 were at a 2.1-fold (IRR 2.05, 95% CI 1.78-2.37) increased risk of psychiatric disorders and at a 2.4-fold increased risk of neurologic disorders (IRR 2.44, 95% CI 2.29-2.60). DISCUSSION Our study does not support previous findings of substantial postacute neurologic and psychiatric morbidities among the general population of SARS-CoV-2-infected individuals, but does corroborate an elevated risk among the most severe cases with COVID-19.
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Affiliation(s)
- Nete M Nielsen
- From the Department of Epidemiology Research (N.M.N., L.S., J.V.H., A.H.), Statens Serum Institut, Copenhagen; Focused Research Unit in Neurology (N.M.N.), Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, Aabenraa; Center for Neuropsychiatric Depression Research (P.V.), Mental Health Center Glostrup and University of Copenhagen, Glostrup; Clinical Institute (P.V.), University of Copenhagen, and Pharmacovigilance Research Center (A.H.), Department of Drug Design and Pharmacology, University of Copenhagen, Denmark
| | - Lampros Spiliopoulos
- From the Department of Epidemiology Research (N.M.N., L.S., J.V.H., A.H.), Statens Serum Institut, Copenhagen; Focused Research Unit in Neurology (N.M.N.), Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, Aabenraa; Center for Neuropsychiatric Depression Research (P.V.), Mental Health Center Glostrup and University of Copenhagen, Glostrup; Clinical Institute (P.V.), University of Copenhagen, and Pharmacovigilance Research Center (A.H.), Department of Drug Design and Pharmacology, University of Copenhagen, Denmark
| | - Jørgen V Hansen
- From the Department of Epidemiology Research (N.M.N., L.S., J.V.H., A.H.), Statens Serum Institut, Copenhagen; Focused Research Unit in Neurology (N.M.N.), Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, Aabenraa; Center for Neuropsychiatric Depression Research (P.V.), Mental Health Center Glostrup and University of Copenhagen, Glostrup; Clinical Institute (P.V.), University of Copenhagen, and Pharmacovigilance Research Center (A.H.), Department of Drug Design and Pharmacology, University of Copenhagen, Denmark
| | - Poul Videbech
- From the Department of Epidemiology Research (N.M.N., L.S., J.V.H., A.H.), Statens Serum Institut, Copenhagen; Focused Research Unit in Neurology (N.M.N.), Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, Aabenraa; Center for Neuropsychiatric Depression Research (P.V.), Mental Health Center Glostrup and University of Copenhagen, Glostrup; Clinical Institute (P.V.), University of Copenhagen, and Pharmacovigilance Research Center (A.H.), Department of Drug Design and Pharmacology, University of Copenhagen, Denmark
| | - Anders Hviid
- From the Department of Epidemiology Research (N.M.N., L.S., J.V.H., A.H.), Statens Serum Institut, Copenhagen; Focused Research Unit in Neurology (N.M.N.), Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, Aabenraa; Center for Neuropsychiatric Depression Research (P.V.), Mental Health Center Glostrup and University of Copenhagen, Glostrup; Clinical Institute (P.V.), University of Copenhagen, and Pharmacovigilance Research Center (A.H.), Department of Drug Design and Pharmacology, University of Copenhagen, Denmark
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de Anda-Jáuregui G, Gómez-Romero L, Cañas S, Campos-Romero A, Alcántar-Fernández J, Cedro-Tanda A. COVID-19 reinfections in Mexico City: implications for public health. Front Public Health 2024; 11:1321283. [PMID: 38419814 PMCID: PMC10899476 DOI: 10.3389/fpubh.2023.1321283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/29/2023] [Indexed: 03/02/2024] Open
Abstract
Background Since its appearance, COVID-19 has immensely impacted our society. Public health measures, from the initial lockdowns to vaccination campaigns, have mitigated the crisis. However, SARS-CoV-2's persistence and evolving variants continue to pose global threats, increasing the risk of reinfections. Despite vaccination progress, understanding reinfections remains crucial for informed public health responses. Methods We collected available data on clinical and genomic information for SARS-CoV-2 samples from patients treated in Mexico City from 2020 epidemiological week 10 to 2023 epidemiological week 06 encompassing the whole public health emergency's period. To identify clinical data we utilized the SISVER (Respiratory Disease Epidemiological Surveillance System) database for SARS-CoV-2 patients who received medical attention in Mexico City. For genomic surveillance we analyzed genomic data previously uploaded to GISAID generated by Mexican institutions. We used these data sources to generate descriptors of case number, hospitalization, death and reinfection rates, and viral variant prevalence throughout the pandemic period. Findings The fraction of reinfected individuals in the COVID-19 infected population steadily increased as the pandemic progressed in Mexico City. Most reinfections occurred during the fifth wave (40%). This wave was characterized by the coexistence of multiple variants exceeding 80% prevalence; whereas all other waves showed a unique characteristic dominant variant (prevalence >95%). Shifts in symptom patient care type and severity were observed, 2.53% transitioned from hospitalized to ambulatory care type during reinfection and 0.597% showed the opposite behavior; also 7.23% showed a reduction in severity of symptoms and 6.05% displayed an increase in severity. Unvaccinated individuals accounted for the highest percentage of reinfections (41.6%), followed by vaccinated individuals (31.9%). Most reinfections occurred after the fourth wave, dominated by the Omicron variant; and after the vaccination campaign was already underway. Interpretation Our analysis suggests reduced infection severity in reinfections, evident through shifts in symptom severity and care patterns. Unvaccinated individuals accounted for most reinfections. While our study centers on Mexico City, its findings may hold implications for broader regions, contributing insights into reinfection dynamics.
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Affiliation(s)
- Guillermo de Anda-Jáuregui
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
- Investigadoras e Investigadoras por México, Consejo Nacional de Humanidades, Ciencias y Tecnologías, Mexico City, Mexico
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Laura Gómez-Romero
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
- Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, Mexico City, Mexico
| | - Sofía Cañas
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
- Instituto Tecnológico de Estudios Superiores de Monterrey, Monterrey, Mexico
| | | | | | - Alberto Cedro-Tanda
- Núcleo B de Innovación en Medicina de Precisión, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
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Reagin KL, Lee RL, Cocciolone L, Funk KE. Antigen non-specific CD8 + T cells accelerate cognitive decline in aged mice following respiratory coronavirus infection. bioRxiv 2024:2024.01.02.573675. [PMID: 38260669 PMCID: PMC10802364 DOI: 10.1101/2024.01.02.573675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Primarily a respiratory infection, numerous patients infected with SARS-CoV-2 present with neurologic symptoms, some continuing long after viral clearance as a persistent symptomatic phase termed "long COVID". Advanced age increases the risk of severe disease, as well as incidence of long COVID. We hypothesized that perturbations in the aged immune response predispose elderly individuals to severe coronavirus infection and post-infectious sequelae. Using a murine model of respiratory coronavirus, mouse hepatitis virus strain A59 (MHV-A59), we found that aging increased clinical illness and lethality to MHV infection, with aged animals harboring increased virus in the brain during acute infection. This was coupled with an unexpected increase in activated CD8+ T cells within the brains of aged animals but reduced antigen specificity of those CD8+ T cells. Aged animals demonstrated spatial learning impairment following MHV infection, which correlated with increased neuronal cell death and reduced neuronal regeneration in aged hippocampus. Using primary cell culture, we demonstrated that activated CD8+ T cells induce neuronal death, independent of antigen-specificity. Specifically, higher levels of CD8+ T cell-derived IFN-γ correlated with neuronal death. These results support the evidence that CD8+ T cells in the brain directly contribute to cognitive dysfunction following coronavirus infection in aged individuals.
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Affiliation(s)
- Katie L. Reagin
- Department of Biological Sciences, University of North Carolina at Charlotte
| | - Rae-Ling Lee
- Department of Biological Sciences, University of North Carolina at Charlotte
| | - Loren Cocciolone
- Department of Biological Sciences, University of North Carolina at Charlotte
| | - Kristen E. Funk
- Department of Biological Sciences, University of North Carolina at Charlotte
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Arslan A, Sahbudak Bal Z, Erci E, Yıldırım Arslan S, Bilen NM, Avcu G, Çiçek C, Ozkinay F, Kurugol Z. SARS-CoV-2 reinfections in the pediatric cohort-a single-center experience. J Trop Pediatr 2023; 70:fmad049. [PMID: 38150674 DOI: 10.1093/tropej/fmad049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
BACKGROUND This study focused on timelines of infection episodes and dominant variants and aims to determine disease severity and outcome of pediatric patients with reinfection. MATERIALS AND METHODS This study retrospectively evaluated the medical records of the hospitalized patients and/or outpatients aged 0-18 with a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction between March 2020 and September 2022 at Ege University Children's Hospital. RESULTS Ninety-one pediatric patients reinfected with SARS-CoV-2 were included in the study. There was an underlying disease in 26.4% of the patients. The median time between the two infection episodes was 184 (90-662) days. There were 24 patients (26.3%) with the first infection in pre-Delta period; 17 (18.6%) of them were reinfected in Omicron BA.1 period, while 7 (7.6%) in Omicron BA.4/BA.5 period. Forty-five patients (49.4%) were infected initially in the Delta period; 35 patients (38.4%) were reinfected in the Omicron BA.1 period, while 10 patients (10.9%) were reinfected in the Omicron BA.4/BA.5 period. Twenty-two patients (24.1%) had the first infection in the Omicron BA.1 period and then reinfected in the Omicron BA.4/BA.5 period. Patients with reinfection more frequently displayed a symptom (84.6% vs. 94.5%, p = 0.03). The hospitalization rate significantly declined in reinfection (15.3% vs. 7.6%, p = 0.03). Severe disease, treatment needs and steroid use were decreased in reinfections without a significant difference (p > 0.05). Intensive care unit admission was not altered. CONCLUSION This study revealed that reinfections frequently develop in previously healthy children but do not cause more severe outcomes. The risk of symptomatic reinfections is still high due to the effect of the Omicron variant.
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Affiliation(s)
- Asli Arslan
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Zumrut Sahbudak Bal
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Ece Erci
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Sema Yıldırım Arslan
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Nimet Melis Bilen
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Gülhadiye Avcu
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Candan Çiçek
- Department of Microbiology, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Ferda Ozkinay
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
| | - Zafer Kurugol
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Ege University, Izmir 35040, Turkey
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Ismail NF, Rahman AE, Kulkarni D, Zhu F, Wang X, del Carmen Morales G, Srivastava A, Allen KE, Spinardi J, Kyaw MH, Nair H. Incidence and outcome of SARS-CoV-2 reinfection in the pre-Omicron era: A global systematic review and meta-analysis. J Glob Health 2023; 13:06051. [PMID: 37994839 PMCID: PMC10667793 DOI: 10.7189/jogh.13.06051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023] Open
Abstract
Background With the emergence of new variants and sub-lineages of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), reinfections can significantly impact herd immunity, vaccination policies, and decisions on other public health measures. We conducted a systematic review and meta-analysis to synthesise the global evidence on SARS-CoV-2 reinfections in the pre-Omicron era. Methods We searched five global databases (MEDLINE, Embase, CINAHL Plus, Global Health, WHO COVID-19) on 12 May 2022 and 28 July 2023 and three Chinese databases (CNKI, Wanfang, CQvip) on 16 October 2022 for articles reporting incidence and outcomes of SARS-CoV-2 reinfection before the period of Omicron (B.1.1.529) predominance. We assessed risk of bias using Joanna Briggs Institute critical appraisal tools and conducted meta-analyses with random effects models to estimate the proportion of SARS-CoV-2 reinfection among initially infected cases and hospitalisation and mortality proportions among reinfected ones. Results We identified 7593 studies and extracted data from 64 included ones representing 21 countries. The proportion of SARS-CoV-2 reinfection was 1.16% (95% confidence interval (CI) = 1.01-1.33) based on 11 639 247 initially infected cases, with ≥45 days between the two infections. Healthcare providers (2.28%; 95% CI = 1.37-3.40) had a significantly higher risk of reinfection than the general population (1.00%; 95% CI = 0.81-1.20), while young adults aged 18 to 35 years (1.01%; 95% CI = 0.8-1.25) had a higher reinfection burden than other age groups (children <18 years old: 0.57%; 95% CI = 0.39-0.79, older adults aged 36-65 years old: 0.53%; 95% CI = 0.41-0.65, elderly >65 years old: 0.37%; 95% CI = 0.15-0.66). Among the reinfected cases, 8.12% (95% CI = 5.30-11.39) were hospitalised, 1.31% (95% CI = 0.29-2.83) were admitted to the intensive care unit, and 0.71% (95% CI = 0.02-2.01) died. Conclusions Our data suggest a relatively low risk of SARS-CoV-2 reinfection in the pre-Omicron era, but the risk of hospitalisation was relatively high among the reinfected cases. Considering the possibility of underdiagnosis, the reinfection burden may be underestimated. Registration PROSPERO: CRD42023449712.
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Affiliation(s)
- Nabihah Farhana Ismail
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
- Communicable Disease Control Unit, Public Health Department, Johor State, Malaysia
| | - Ahmed Ehsanur Rahman
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
- International Centre for Diarrhoeal Diseases Research, Bangladesh
| | - Durga Kulkarni
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Fuyu Zhu
- School of Public Health, Nanjing Medical University, Jiangsu, China
| | - Xin Wang
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
- School of Public Health, Nanjing Medical University, Jiangsu, China
| | | | - Amit Srivastava
- Pfizer, Vaccines, Emerging Markets
- Orbital Therapeutics, United States of America
| | | | | | | | - Harish Nair
- Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom
- School of Public Health, Nanjing Medical University, Jiangsu, China
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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O'Regan E, Svalgaard IB, Sørensen AIV, Spiliopoulos L, Bager P, Nielsen NM, Hansen JV, Koch A, Ethelberg S, Hviid A. A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark. Nat Commun 2023; 14:6266. [PMID: 37805514 PMCID: PMC10560282 DOI: 10.1038/s41467-023-42048-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 09/27/2023] [Indexed: 10/09/2023] Open
Abstract
Post-acute sick leave is an underexplored indicator of the societal burden of SARS-CoV-2. Here, we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which include 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index- and alpha-dominant waves. We observe that an additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave is defined as >1 month of sick leave within the period 1-9 months after the RT-PCR test date. Being female, 50-65 years, or having certain pre-existing health conditions such as obesity, chronic lung diseases, and fibromyalgia each increase risk for taking substantial sick leave. Altogether, these results may help motivate improved diagnostic and treatment options for persons living with post-Covid conditions.
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Affiliation(s)
- Elisabeth O'Regan
- Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark.
| | - Ingrid Bech Svalgaard
- Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark
| | | | - Lampros Spiliopoulos
- Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark
| | - Peter Bager
- Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark
| | - Nete Munk Nielsen
- Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark
- Focused Research Unit in Neurology, Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, 6200, Aabenraa, Denmark
| | - Jørgen Vinsløv Hansen
- Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark
| | - Anders Koch
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 2300, Copenhagen S, Denmark
- Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases, Rigshospitalet University Hospital, 2100, Copenhagen Ø, Denmark
| | - Steen Ethelberg
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 2300, Copenhagen S, Denmark
- Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | - Anders Hviid
- Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark
- Pharmacovigilance Research Center, Department of Drug Design and Pharmacology, University of Copenhagen, 2100, Copenhagen Ø, Denmark
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Santos da Silva E, Servais JY, Kohnen M, Arendt V, Staub T, Krüger R, Fagherazzi G, Wilmes P, Hübschen JM, Ollert M, Perez-Bercoff D, Seguin-Devaux C. Validation of a SARS-CoV-2 Surrogate Neutralization Test Detecting Neutralizing Antibodies against the Major Variants of Concern. Int J Mol Sci 2023; 24:14965. [PMID: 37834413 PMCID: PMC10573711 DOI: 10.3390/ijms241914965] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/29/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
SARS-CoV-2 infection and/or vaccination elicit a broad range of neutralizing antibody responses against the different variants of concern (VOC). We established a new variant-adapted surrogate virus neutralization test (sVNT) and assessed the neutralization activity against the ancestral B.1 (WT) and VOC Delta, Omicron BA.1, BA.2, and BA.5. Analytical performances were compared against the respective VOC to the reference virus neutralization test (VNT) and two CE-IVD labeled kits using three different cohorts collected during the COVID-19 waves. Correlation analyses showed moderate to strong correlation for Omicron sub-variants (Spearman's r = 0.7081 for BA.1, r = 0.7205 for BA.2, and r = 0.6042 for BA.5), and for WT (r = 0.8458) and Delta-sVNT (r = 0.8158), respectively. Comparison of the WT-sVNT performance with two CE-IVD kits, the "Icosagen SARS-CoV-2 Neutralizing Antibody ELISA kit" and the "Genscript cPass, kit" revealed an overall good correlation ranging from 0.8673 to -0.8773 and a midway profile between both commercial kits with 87.76% sensitivity and 90.48% clinical specificity. The BA.2-sVNT performance was similar to the BA.2 Genscript test. Finally, a correlation analysis revealed a strong association (r = 0.8583) between BA.5-sVNT and VNT sVNT using a double-vaccinated cohort (n = 100) and an Omicron-breakthrough infection cohort (n = 91). In conclusion, the sVNT allows for the efficient prediction of immune protection against the various VOCs.
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Affiliation(s)
- Eveline Santos da Silva
- Department of Infection and Immunity, Luxembourg Institute of Health, 29 Rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; (E.S.d.S.); (J.-Y.S.); (J.M.H.); (M.O.); (D.P.-B.)
| | - Jean-Yves Servais
- Department of Infection and Immunity, Luxembourg Institute of Health, 29 Rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; (E.S.d.S.); (J.-Y.S.); (J.M.H.); (M.O.); (D.P.-B.)
| | - Michel Kohnen
- National Service of Infectious Diseases, Centre Hospitalier de Luxembourg, 4 Rue Ernest Barblé, L-1210 Luxembourg, Luxembourg; (M.K.); (V.A.); (T.S.)
| | - Vic Arendt
- National Service of Infectious Diseases, Centre Hospitalier de Luxembourg, 4 Rue Ernest Barblé, L-1210 Luxembourg, Luxembourg; (M.K.); (V.A.); (T.S.)
| | - Therese Staub
- National Service of Infectious Diseases, Centre Hospitalier de Luxembourg, 4 Rue Ernest Barblé, L-1210 Luxembourg, Luxembourg; (M.K.); (V.A.); (T.S.)
| | | | | | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health; Centre Hospitalier de Luxembourg, 4 rue Ernest Barblé, L-1210 Luxembourg, Luxembourg;
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 6 avenue du Swing, L-4367 Belvaux, Luxembourg
| | - Guy Fagherazzi
- Department of Precision Health, Luxembourg Institute of Health, 1AB Rue Thomas Edison, L-1445 Strassen, Luxembourg;
| | - Paul Wilmes
- Systems Ecology Group, Luxembourg Centre for Systems Biomedicine, 7 Avenue des Hauts Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg;
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367 Belvaux, Luxembourg
| | - Judith M. Hübschen
- Department of Infection and Immunity, Luxembourg Institute of Health, 29 Rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; (E.S.d.S.); (J.-Y.S.); (J.M.H.); (M.O.); (D.P.-B.)
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health, 29 Rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; (E.S.d.S.); (J.-Y.S.); (J.M.H.); (M.O.); (D.P.-B.)
| | - Danielle Perez-Bercoff
- Department of Infection and Immunity, Luxembourg Institute of Health, 29 Rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; (E.S.d.S.); (J.-Y.S.); (J.M.H.); (M.O.); (D.P.-B.)
| | - Carole Seguin-Devaux
- Department of Infection and Immunity, Luxembourg Institute of Health, 29 Rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; (E.S.d.S.); (J.-Y.S.); (J.M.H.); (M.O.); (D.P.-B.)
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da Silva Antunes R, Grifoni A, Frazier A, Weiskopf D, Sette A. An update on studies characterizing adaptive immune responses in SARS-CoV-2 infection and COVID-19 vaccination. Int Immunol 2023; 35:353-359. [PMID: 37148294 PMCID: PMC10406159 DOI: 10.1093/intimm/dxad014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/03/2023] [Indexed: 05/08/2023] Open
Abstract
In this brief opinion piece, we highlight our studies characterizing adaptive SARS-CoV-2 immune responses in infection and vaccination, and the ability of SARS-CoV-2-specific T cells to recognize emerging variants of concern, and the role of pre-existing cross-reactive T cells. In the context of the debate on correlates of protection, the pandemic's progression in the past 3 years underlined the need to consider how different adaptive immune responses might differentially contribute to protection from SARS-CoV-2 infection versus COVID-19 disease. Lastly, we discuss how cross-reactive T cell responses may be useful in generating a broad adaptive immunity, recognizing different variants and viral families. Considering vaccines with broadly conserved antigens could improve preparedness for future infectious disease outbreaks.
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Affiliation(s)
- Ricardo da Silva Antunes
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI); La Jolla, CA 92037, USA
| | - Alba Grifoni
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI); La Jolla, CA 92037, USA
| | - April Frazier
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI); La Jolla, CA 92037, USA
| | - Daniela Weiskopf
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI); La Jolla, CA 92037, USA
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI); La Jolla, CA 92037, USA
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA, USA
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9
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McManus O, Christiansen LE, Nauta M, Krogsgaard LW, Bahrenscheer NS, von Kappelgaard L, Christiansen T, Hansen M, Hansen NC, Kähler J, Rasmussen A, Richter SR, Rasmussen LD, Franck KT, Ethelberg S. Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022. Emerg Infect Dis 2023; 29:1589-1597. [PMID: 37486168 PMCID: PMC10370843 DOI: 10.3201/eid2908.221634] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023] Open
Abstract
Analysis of wastewater is used in many settings for surveillance of SARS-CoV-2, but it remains unclear how well wastewater testing results reflect incidence. Denmark has had an extensive wastewater analysis system that conducts 3 weekly tests in ≈200 sites and has 85% population coverage; the country also offers free SARS-CoV-2 PCR tests to all residents. Using time series analysis for modeling, we found that wastewater data, combined with information on circulating variants and the number of human tests performed, closely fitted the incidence curve of persons testing positive. The results were consistent at a regional level and among a subpopulation of frequently tested healthcare personnel. We used wastewater analysis data to estimate incidence after testing was reduced to a minimum after March 2022. These results imply that data from a large-scale wastewater surveillance system can serve as a good proxy for COVID-19 incidence and for epidemic control.
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10
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Gram MA, Steenhard N, Cohen AS, Vangsted AM, Mølbak K, Jensen TG, Hansen CH, Ethelberg S. Patterns of testing in the extensive Danish national SARS-CoV-2 test set-up. PLoS One 2023; 18:e0281972. [PMID: 37490451 PMCID: PMC10368237 DOI: 10.1371/journal.pone.0281972] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 07/12/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND The Danish national SARS-CoV-2 mass test system was among the most ambitious worldwide. We describe its set-up and analyse differences in patterns of testing per demography and time period in relation to the three waves of SARS-CoV-2 transmission in Denmark. METHODS We included all reported PCR- and rapid antigen-tests performed between 27 February 2020 and 10 March 2022 among all residents aged 2 years or above. Descriptive statistics and Poisson regression models were used to analyse characteristics of individuals tested for SARS-CoV-2 using a national cohort study design. RESULTS A total of 63.7 million PCR-tests and 60.0 million rapid antigen-tests were performed in the study period, testing 90.9% and 78.8% of the Danish population at least once by PCR or antigen, respectively. Female sex, younger age, Danish heritage and living in the capital area were all factors positively associated with the frequency of PCR-testing. The association between COVID-19 vaccination and PCR-testing changed from negative to positive over time. CONCLUSION We provide details of the widely available, free-of-charge, national SARS-CoV-2 test system, which served to identify infected individuals, assist isolation of infectious individuals and contact tracing, and thereby mitigating the spread of SARS-CoV-2 in the Danish population. The test system was utilized by nearly the entire population at least once, and widely accepted across different demographic groups. However, demographic differences in the test uptake did exist and should be considered in order not to cause biases in studies related to SARS-CoV-2, e.g., studies of transmission and vaccine effectiveness.
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Affiliation(s)
- Mie Agermose Gram
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen S, Denmark
| | - Nina Steenhard
- TestCentre Denmark, Statens Serum Institut, Copenhagen S, Denmark
| | | | | | - Kåre Mølbak
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen S, Denmark
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Thøger Gorm Jensen
- Department of Clinical Microbiology, Odense University Hospital Odense C, Odense, Denmark
- Research Unit of Clinical Microbiology, University of Southern Denmark, Odense, Denmark
| | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen S, Denmark
| | - Steen Ethelberg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen S, Denmark
- Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen K, Denmark
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11
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Le Gleut R, Plank M, Pütz P, Radon K, Bakuli A, Rubio-Acero R, Paunovic I, Rieß F, Winter S, Reinkemeyer C, Schälte Y, Olbrich L, Hannes M, Kroidl I, Noreña I, Janke C, Wieser A, Hoelscher M, Fuchs C, Castelletti N. The representative COVID-19 cohort Munich (KoCo19): from the beginning of the pandemic to the Delta virus variant. BMC Infect Dis 2023; 23:466. [PMID: 37442952 DOI: 10.1186/s12879-023-08435-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Population-based serological studies allow to estimate prevalence of SARS-CoV-2 infections despite a substantial number of mild or asymptomatic disease courses. This became even more relevant for decision making after vaccination started. The KoCo19 cohort tracks the pandemic progress in the Munich general population for over two years, setting it apart in Europe. METHODS Recruitment occurred during the initial pandemic wave, including 5313 participants above 13 years from private households in Munich. Four follow-ups were held at crucial times of the pandemic, with response rates of at least 70%. Participants filled questionnaires on socio-demographics and potential risk factors of infection. From Follow-up 2, information on SARS-CoV-2 vaccination was added. SARS-CoV-2 antibody status was measured using the Roche Elecsys® Anti-SARS-CoV-2 anti-N assay (indicating previous infection) and the Roche Elecsys® Anti-SARS-CoV-2 anti-S assay (indicating previous infection and/or vaccination). This allowed us to distinguish between sources of acquired antibodies. RESULTS The SARS-CoV-2 estimated cumulative sero-prevalence increased from 1.6% (1.1-2.1%) in May 2020 to 14.5% (12.7-16.2%) in November 2021. Underreporting with respect to official numbers fluctuated with testing policies and capacities, becoming a factor of more than two during the second half of 2021. Simultaneously, the vaccination campaign against the SARS-CoV-2 virus increased the percentage of the Munich population having antibodies, with 86.8% (85.5-87.9%) having developed anti-S and/or anti-N in November 2021. Incidence rates for infections after (BTI) and without previous vaccination (INS) differed (ratio INS/BTI of 2.1, 0.7-3.6). However, the prevalence of infections was higher in the non-vaccinated population than in the vaccinated one. Considering the whole follow-up time, being born outside Germany, working in a high-risk job and living area per inhabitant were identified as risk factors for infection, while other socio-demographic and health-related variables were not. Although we obtained significant within-household clustering of SARS-CoV-2 cases, no further geospatial clustering was found. CONCLUSIONS Vaccination increased the coverage of the Munich population presenting SARS-CoV-2 antibodies, but breakthrough infections contribute to community spread. As underreporting stays relevant over time, infections can go undetected, so non-pharmaceutical measures are crucial, particularly for highly contagious strains like Omicron.
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Affiliation(s)
- Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
| | - Michael Plank
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Peter Pütz
- Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany
| | - Katja Radon
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336, Munich, Germany
- Centre for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany
- Comprehensive Pneumology Centre (CPC) Munich, German Centre for Lung Research (DZL), 89337, Munich, Germany
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Ivana Paunovic
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Friedrich Rieß
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Simon Winter
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Christina Reinkemeyer
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Yannik Schälte
- Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Centre for Mathematics, Technische Universität München, 85748, Garching, Germany
- Life and Medical Sciences Institute, University of Bonn, 53115, Bonn, Germany
| | - Laura Olbrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Marlene Hannes
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Inge Kroidl
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Ivan Noreña
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Christian Janke
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
- German Centre for Infection Research (DZIF), Partner Site, Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799, Munich, Germany
- Max Von Pettenkofer Institute, Faculty of Medicine, LMU Munich, 80336, Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
- Centre for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany
- German Centre for Infection Research (DZIF), Partner Site, Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799, Munich, Germany
| | - Christiane Fuchs
- Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
- Centre for Mathematics, Technische Universität München, 85748, Garching, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615, Bielefeld, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799, Munich, Germany.
- Institute of Radiation Medicine, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany.
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12
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Yang L, Hu M, Zeng H, Liang W, Zhu J. The impact of multiple non-pharmaceutical interventions for China-bound travel on domestic COVID-19 outbreaks. Front Public Health 2023; 11:1202996. [PMID: 37521963 PMCID: PMC10373927 DOI: 10.3389/fpubh.2023.1202996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/01/2023] [Indexed: 08/01/2023] Open
Abstract
Objectives Non-pharmaceutical interventions (NPIs) implemented on China-bound travel have successfully mitigated cross-regional transmission of COVID-19 but made the country face ripple effects. Thus, adjusting these interventions to reduce interruptions to individuals' daily life while minimizing transmission risk was urgent. Methods An improved Susceptible-Infected-Recovered (SIR) model was built to evaluate the Delta variant's epidemiological characteristics and the impact of NPIs. To explore the risk associated with inbound travelers and the occurrence of domestic traceable outbreaks, we developed an association parameter that combined inbound traveler counts with a time-varying initial value. In addition, multiple time-varying functions were used to model changes in the implementation of NPIs. Related parameters of functions were run by the MCSS method with 1,000 iterations to derive the probability distribution. Initial values, estimated parameters, and corresponding 95% CI were obtained. Reported existing symptomatic, suspected, and asymptomatic case counts were used as the training datasets. Reported cumulative recovered individual data were used to verify the reliability of relevant parameters. Lastly, we used the value of the ratio (Bias2/Variance) to verify the stability of the mathematical model, and the effects of the NPIs on the infected cases to analyze the sensitivity of input parameters. Results The quantitative findings indicated that this improved model was highly compatible with publicly reported data collected from July 21 to August 30, 2021. The number of inbound travelers was associated with the occurrence of domestic outbreaks. A proportional relationship between the Delta variant incubation period and PCR test validity period was found. The model also predicted that restoration of pre-pandemic travel schedules while adhering to NPIs requirements would cause shortages in health resources. The maximum demand for hospital beds would reach 25,000/day, the volume of PCR tests would be 8,000/day, and the number of isolation rooms would reach 800,000/day within 30 days. Conclusion With the pandemic approaching the end, reexamining it carefully helps better address future outbreaks. This predictive model has provided scientific evidence for NPIs' effectiveness and quantifiable evidence of health resource allocation. It could guide the design of future epidemic prevention and control policies, and provide strategic recommendations on scarce health resource allocation.
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Affiliation(s)
- Lichao Yang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Mengzhi Hu
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Huatang Zeng
- Shenzhen Health Development Research and Data Management Center, Shenzhen, Guangdong, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Jiming Zhu
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
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13
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Primorac D, Brlek P, Pavelić ES, Mešić J, Glavaš Weinberger D, Matišić V, Molnar V, Srića S, Zadro R. Importance of Cellular Immunity and IFN-γ Concentration in Preventing SARS-CoV-2 Infection and Reinfection: A Cohort Study. Viruses 2023; 15:v15030792. [PMID: 36992500 PMCID: PMC10056614 DOI: 10.3390/v15030792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 03/11/2023] [Accepted: 03/12/2023] [Indexed: 03/31/2023] Open
Abstract
Recent studies have highlighted the underestimated importance of the cellular immune response after the emergence of variants of concern (VOCs) of SARS-CoV-2, and the significantly reduced neutralizing power of antibody titers in individuals with previous SARS-CoV-2 infection or vaccination. Our study included 303 participants who were tested at St. Catherine Specialty Hospital using the Quan-T-Cell SARS-CoV-2 in combination with the Quan-T-Cell ELISA (Euroimmun Medizinische Labordiagnostika, Lübeck, Germany) for the analysis of IFN-γ concentration, and with Anti-SARS-CoV-2 QuantiVac ELISA IgG (Euroimmun Medizinische Labordiagnostika, Lübeck, Germany) for the detection of human antibodies of the immunoglobulin class IgG against the S1 domain of the SARS-CoV-2 spike protein. The statistical analysis showed a significant difference in the concentration of IFN-γ between reinfected participants and those without infection (p = 0.012). Participants who were not infected or reinfected with SARS-CoV-2 after vaccination and/or previous SARS-CoV-2 infection had a significantly higher level of cellular immunity. Furthermore, in individuals without additional vaccination, those who experienced infection/reinfection had significantly lower levels of IFN-γ compared to uninfected participants (p = 0.016). Our findings suggest a long-lasting effect of cellular immunity, measured by IFN-γ concentrations, which plays a key role in preventing infections and reinfections after the emergence of SARS-CoV-2 variants of concern.
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Affiliation(s)
- Dragan Primorac
- St. Catherine Specialty Hospital, 10000 Zagreb, Croatia
- School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Medical School, University of Split, 21000 Split, Croatia
- Department of Biochemistry & Molecular Biology, The Pennsylvania State University, State College, PA 16802, USA
- The Henry C. Lee College of Criminal Justice and Forensic Sciences, University of New Haven, West Haven, CT 06516, USA
- Medical School REGIOMED, 96450 Coburg, Germany
- Medical School, University of Rijeka, 51000 Rijeka, Croatia
- Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Medical School, University of Mostar, 88000 Mostar, Bosnia and Herzegovina
- National Forensic Sciences University, Gujarat 382007, India
| | - Petar Brlek
- St. Catherine Specialty Hospital, 10000 Zagreb, Croatia
| | | | - Jana Mešić
- St. Catherine Specialty Hospital, 10000 Zagreb, Croatia
| | | | - Vid Matišić
- St. Catherine Specialty Hospital, 10000 Zagreb, Croatia
| | - Vilim Molnar
- St. Catherine Specialty Hospital, 10000 Zagreb, Croatia
| | - Saša Srića
- University Hospital Centre Zagreb, 10000 Zagreb, Croatia
| | - Renata Zadro
- St. Catherine Specialty Hospital, 10000 Zagreb, Croatia
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14
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Örtqvist AK, Magnus MC, Aabakke AJM, Urhoj SK, Vinkel Hansen A, Nybo Andersen AM, Krebs L, Pettersson K, Håberg SE, Stephansson O. Severe COVID-19 during pregnancy in Sweden, Norway, and Denmark. Acta Obstet Gynecol Scand 2023; 102:681-689. [PMID: 36928990 DOI: 10.1111/aogs.14552] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 03/18/2023]
Abstract
INTRODUCTION Pregnancy is a risk factor for severe coronavirus disease 2019 (COVID-19) and adverse pregnancy outcomes. We aimed to explore maternal characteristics, pregnancy outcomes, vaccination status, and virus variants among pregnant women admitted to intensive care units (ICU) with severe COVID-19. MATERIAL AND METHODS We identified pregnant women admitted to ICU in Sweden (n = 96), Norway (n = 31), and Denmark (n = 16) because of severe COVID-19, from national registers and clinical databases between March 2020 and February 2022 (Denmark), August 2022 (Sweden), or December 2022 (Norway). Their background characteristics, pregnancy outcome, and vaccination status were compared with all birthing women and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test-positive pregnant women during the same time period. We calculated the number admitted to ICU per 10 000 birthing and per 1000 SARS-CoV-2 test-positive women during the Index, Alpha, Delta, and Omicron periods. RESULTS Women admitted to ICU had a higher mean body mass index, were more often of non-Scandinavian origin, had on average lower education and income levels, had a higher proportion of chronic and pregnancy-related conditions, delivered preterm, had neonates with low Apgar scores, and had more infants admitted to neonatal care, compared with all birthing and test-positive pregnant women. Of those admitted to ICU, only 7% had been vaccinated before admission. Overall, the highest proportion of women admitted to ICU per birthing was during the Delta period (4.1 per 10 000 birthing women). In Norway, the highest proportion admitted to ICU per test-positive pregnant women was during the Delta period (17.8 per 1000 test-positive), whereas the highest proportion of admitted per test-positive in Sweden and Denmark was seen during the Index period (15.4 and 8.9 per 1000 test-positive, respectively). CONCLUSIONS Admission to ICU because of COVID-19 in pregnancy was a rare event in the Scandinavian countries, but women who were unvaccinated, of non-Scandinavian origin, and with lower socio-economic status were at higher risk of admission to ICU. In addition, women admitted to ICU for COVID-19 had higher risk of adverse pregnancy outcomes.
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Affiliation(s)
- Anne K Örtqvist
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Obstetrics and Gynecology, Visby County Hospital, Visby, Sweden
| | - Maria C Magnus
- Center for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Anna J M Aabakke
- Department of Obstetrics and Gynecology, Copenhagen University Hospital-Holbaek, Holbaek, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Obstetrics and Gynecology, Copenhagen University Hospital-Northzealand-Hillerød, Hillerød, Denmark
| | - Stine Kjaer Urhoj
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anne Vinkel Hansen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Statistics Denmark, Copenhagen, Denmark
| | | | - Lone Krebs
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Obstetrics and Gynecology, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
| | - Karin Pettersson
- Department of Clinical Science Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.,Division of Women's Health, Karolinska University Hospital, Stockholm, Sweden
| | - Siri E Håberg
- Center for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Olof Stephansson
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Division of Women's Health, Karolinska University Hospital, Stockholm, Sweden
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15
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Beukenhorst AL, Koch CM, Hadjichrysanthou C, Alter G, de Wolf F, Anderson RM, Goudsmit J. SARS-CoV-2 elicits non-sterilizing immunity and evades vaccine-induced immunity: implications for future vaccination strategies. Eur J Epidemiol 2023; 38:237-242. [PMID: 36738380 PMCID: PMC9898703 DOI: 10.1007/s10654-023-00965-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/07/2023] [Indexed: 02/05/2023]
Abstract
Neither vaccination nor natural infection result in long-lasting protection against SARS-COV-2 infection and transmission, but both reduce the risk of severe COVID-19. To generate insights into optimal vaccination strategies for prevention of severe COVID-19 in the population, we extended a Susceptible-Exposed-Infectious-Removed (SEIR) mathematical model to compare the impact of vaccines that are highly protective against severe COVID-19 but not against infection and transmission, with those that block SARS-CoV-2 infection. Our analysis shows that vaccination strategies focusing on the prevention of severe COVID-19 are more effective than those focusing on creating of herd immunity. Key uncertainties that would affect the choice of vaccination strategies are: (1) the duration of protection against severe disease, (2) the protection against severe disease from variants that escape vaccine-induced immunity, (3) the incidence of long-COVID and level of protection provided by the vaccine, and (4) the rate of serious adverse events following vaccination, stratified by demographic variables.
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Affiliation(s)
- Anna L Beukenhorst
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
- Leyden Laboratories BV, Amsterdam, The Netherlands.
| | | | | | - Galit Alter
- Ragon Institute of MGH MIT and Harvard, Cambridge, MA, USA
| | - Frank de Wolf
- Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK
| | - Roy M Anderson
- Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK
| | - Jaap Goudsmit
- Leyden Laboratories BV, Amsterdam, The Netherlands
- Departments of Epidemiology, Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, MA, USA
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16
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Hansen CH, Friis NU, Bager P, Stegger M, Fonager J, Fomsgaard A, Gram MA, Christiansen LE, Ethelberg S, Legarth R, Krause TG, Ullum H, Valentiner-Branth P. Risk of reinfection, vaccine protection, and severity of infection with the BA.5 omicron subvariant: a nation-wide population-based study in Denmark. Lancet Infect Dis 2023; 23:167-176. [PMID: 36270311 PMCID: PMC9578720 DOI: 10.1016/s1473-3099(22)00595-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Estimates of immunity and severity for the SARS-CoV-2 omicron subvariant BA.5 are important to assess the public health impact associated with its rapid global spread despite vaccination. We estimated natural and vaccine immunity and severity of BA.5 relative to BA.2 in Denmark, a country with high mRNA-vaccination coverage and free-of-charge RT-PCR testing. METHODS This nation-wide population-based study in Denmark included residents aged 18 years or older who had taken an RT-PCR test between 10 April and 30 June, 2022 (ie, the outcome period), and who the national COVID-19 surveillance system identified as having information since February 2020 on RT-PCR tests, whole-genome sequencing, vaccinations, and hospitalisation with a positive RT-PCR test and COVID-19 as the main diagnosis. First, we used a case-control design, in which cases were people infected with BA.5 or BA.2 during the outcome period and controls were people who tested negative for SARS-CoV-2 infection during the outcome period. We calculated the protection provided by a previous PCR-confirmed omicron infection against BA.5 and BA.2 infection and hospitalisation among triple-vaccinated individuals. Second, we compared vaccination status in people infected with BA.5 versus BA.2 and estimated relative vaccine protection against each subvariant. Third, we compared rates of hospitalisation for COVID-19 among people infected with BA.5 versus BA.2. We estimated effects using logistic regression with adjustment for sex, age, region, PCR-test date, comorbidity and, as appropriate, vaccination and previous infection status. FINDINGS A total of 210 (2·4%) of 8678 of BA.5 cases, 192 (0·7%) of 29 292 of BA.2 cases, and 33 972 (19·0%) of 178 669 PCR-negative controls previously had an omicron infection, which was estimated in the adjusted analyses to offer 92·7% (95% CI 91·6-93·7) protection against BA.5 infection and 97·1% (96·6-97·5) protection against BA.2 infection. We found similarly high amounts of protection against hospitalisation owing to infection with BA.5 (96·4% [95% CI 74·2-99·5]) and BA.2 (91·2% [76·3-96·7]). Vaccine coverage (three mRNA doses vs none) was 9307 (94·2%) of 9878 among BA.5 cases and 30 581 (94·8%) of 32 272 among BA.2 cases, although in the adjusted analysis, there was a trend towards slightly higher vaccination coverage among BA.5 cases than BA.2 cases (OR 1·18 [95% CI 0·99-1·42]; p=0·064), possibly suggesting marginally poorer vaccine protection against BA.5. The rate of hospitalisation due to COVID-19 was higher among the BA.5 cases (210 [1·9%] of 11 314) than among the BA.2 cases (514 [1·4%] of 36 805), with an OR of 1·34 (95% CI 1·14-1·57) and an adjusted OR of 1·69 (95% CI 1·22-2·33), despite low and stable COVID-19 hospitalisation numbers during the study period. INTERPRETATION The study provides evidence that a previous omicron infection in triple-vaccinated individuals provides high amounts of protection against BA.5 and BA.2 infections. However, protection estimates greater than 90% might be too high if individuals with a previous infection were more likely than those without one to come forward for a test for reasons other than suspicion of COVID-19. Our analysis also showed that vaccine protection against BA.5 infection was similar to, or slightly weaker than, protection against BA.2 infection. Finally, there was evidence that BA.5 infections were associated with an increased risk of hospitalisation compared with BA.2 infections. FUNDING There was no funding source for this study.
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Affiliation(s)
- Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark; Medical Reseasrch Council International Statistics and Epidemiology Group, London School of Hygiene & Tropical Medicine, London, UK
| | - Nikolaj Ulrik Friis
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Peter Bager
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
| | - Marc Stegger
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Jannik Fonager
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Anders Fomsgaard
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Mie Agermose Gram
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | | | - Steen Ethelberg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark; Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | - Rebecca Legarth
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Henrik Ullum
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
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17
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Aabakke AJM, Petersen TG, Wøjdemann K, Ibsen MH, Jonsdottir F, Rønneberg E, Andersen CS, Hammer A, Clausen TD, Milbak J, Burmester L, Zethner R, Lindved B, Thorsen‐Meyer A, Khalil MR, Henriksen B, Jønsson L, Andersen LLT, Karlsen KK, Pedersen ML, Hedermann G, Vestgaard M, Thisted D, Fallesen AN, Johansson JN, Møller DC, Dubietyte G, Andersson CB, Farlie R, Skaarup Knudsen A, Hansen L, Hvidman L, Sørensen AN, Rathcke SL, Rubin KH, Petersen LK, Jørgensen JS, Krebs L, Bliddal M. Risk factors for and pregnancy outcomes after SARS-CoV-2 in pregnancy according to disease severity: A nationwide cohort study with validation of the SARS-CoV-2 diagnosis. Acta Obstet Gynecol Scand 2023; 102:282-293. [PMID: 36695168 PMCID: PMC9951376 DOI: 10.1111/aogs.14512] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/21/2022] [Accepted: 01/01/2023] [Indexed: 01/26/2023]
Abstract
INTRODUCTION We identified risk factors and outcomes associated with SARS-CoV-2 infection in pregnancy in a universally tested population according to disease severity and validated information on SARS-CoV-2 during pregnancy in national health registers in Denmark. MATERIAL AND METHODS Cohort study using data from national registers and medical records including all pregnancies between March 1, 2020 and February 28, 2021. We compared women with a validated positive SARS-CoV-2 test during pregnancy with non-infected pregnant women. Risk factors and pregnancy outcomes were assessed by Poisson and Cox regression models and stratified according to disease severity defined by hospital admission status and admission reason (COVID-19 symptoms or other). Using medical record data on actual period of pregnancy, we calculated predictive values of the SARS-CoV-2 diagnosis in pregnancy in the registers. RESULTS SARS-CoV-2 infection was detected in 1819 (1.6%) of 111 185 pregnancies. Asthma was associated with infection (relative risk [RR] 1.63, 95% confidence interval [CI] 1.28-2.07). Risk factors for severe COVID-19 disease requiring hospital admission were high body mass index (median ratio 1.06, 95% CI 1.04-1.09), asthma (RR 7.47, 95% CI 3.51-15.90) and gestational age at the time of infection (gestational age 28-36 vs < 22: RR 3.53, 95% CI 1.75-7.10). SARS-CoV-2-infected women more frequently had hypertensive disorders in pregnancy (adjusted hazard ratio [aHR] 1.31, 95% CI 1.04-1.64), early pregnancy loss (aHR 1.37, 95% CI 1.00-1.88), preterm delivery before gestational age 28 (aHR 2.31, 95% CI 1.01-5.26), iatrogenically preterm delivery before gestational age 37 (aHR 1.49, 95% CI 1.01-2.19) and small-for-gestational age children (aHR 1.28, 95% CI 1.05-1.54). The associations were stronger among women admitted to hospital for any reason. The validity of the SARS-CoV-2 diagnosis in relation to pregnancy in the registers compared with medical records showed a negative predictive value of 99.9 (95% CI 99.9-100.0) and a positive predictive value of 82.1 (95% CI 80.4-83.7). CONCLUSIONS Women infected with SARS-CoV-2 during pregnancy were at increased risk of hypertensive disorders in pregnancy, early pregnancy loss, preterm delivery and having children small for gestational age. The validity of Danish national registers was acceptable for identification of SARS-CoV-2 infection during pregnancy.
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Affiliation(s)
- Anna J. M. Aabakke
- Department of Obstetrics and GynecologyCopenhagen University Hospital—HolbækHolbækDenmark,Department of Obstetrics and GynecologyCopenhagen University Hospital—North ZealandHillerødDenmark,Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | | | - Karen Wøjdemann
- Department of Obstetrics and GynecologyCopenhagen University Hospital—BornholmRønneDenmark
| | - Mette H. Ibsen
- Department Obstetrics and GynecologyHospital of South West JutlandEsbjergDenmark
| | - Fjola Jonsdottir
- Department of Obstetrics and GynecologyCopenhagen University Hospital—Herlev and GentofteHerlevDenmark
| | - Elisabeth Rønneberg
- Department of Obstetrics and GynecologyCopenhagen University Hospital—Herlev and GentofteHerlevDenmark
| | | | - Anne Hammer
- Department of Obstetrics and GynecologyGødstrup HospitalHerningDenmark
| | - Tine D. Clausen
- Department of Obstetrics and GynecologyCopenhagen University Hospital—North ZealandHillerødDenmark,Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Julie Milbak
- Department of Obstetrics and GynecologyCopenhagen University Hospital—North ZealandHillerødDenmark
| | - Lars Burmester
- Department of Obstetrics and GynecologyThe North Denmark Regional Hospital HjørringHjørringDenmark
| | - Rikke Zethner
- Department of Obstetrics and GynecologyCopenhagen University Hospital—HolbækHolbækDenmark,Department of Obstetrics and GynecologyCopenhagen University Hospital—Herlev and GentofteHerlevDenmark
| | - Birgitte Lindved
- Department of Obstetrics and GynecologyHorsens Regional HospitalHorsensDenmark
| | - Annette Thorsen‐Meyer
- Department of Obstetrics and GynecologyCopenhagen University Hospital – Amager and HvidovreHvidovreDenmark
| | - Mohammed R. Khalil
- Department Obstetrics and GynecologyUniversity Hospital of Southern Denmark – KoldingKoldingDenmark
| | - Birgitte Henriksen
- Department Obstetrics and GynecologyUniversity Hospital of Southern Denmark – KoldingKoldingDenmark
| | - Lisbeth Jønsson
- Department Obstetrics and GynecologyNykøbing F. HospitalNykøbing FDenmark
| | - Lise L. T. Andersen
- Department of Obstetrics and GynecologyOdense University HospitalOdenseDenmark
| | - Kamilla K. Karlsen
- Department of Obstetrics and GynecologyOdense University HospitalOdenseDenmark
| | - Monica L. Pedersen
- Department of Obstetrics and GynecologyRanders Regional HospitalRandersDenmark
| | - Gitte Hedermann
- Department of Obstetrics and GynecologyCopenhagen University Hospital – RigshospitaletCopenhagenDenmark
| | - Marianne Vestgaard
- Department of Obstetrics and GynecologyCopenhagen University Hospital – RigshospitaletCopenhagenDenmark
| | - Dorthe Thisted
- Department of Obstetrics and GynecologyCopenhagen University Hospital—HolbækHolbækDenmark,Department of Obstetrics and GynecologyZealand University HospitalRoskildeDenmark
| | - Agnethe N. Fallesen
- Department of Obstetrics and GynecologyCopenhagen University Hospital – NæstvedSlagelseDenmark
| | - Josephine N. Johansson
- Department of Obstetrics and GynecologyCopenhagen University Hospital – NæstvedSlagelseDenmark
| | - Ditte C. Møller
- Department of Obstetrics and GynecologyHospital of South JutlandAabenraaDenmark
| | - Greta Dubietyte
- Department of Obstetrics and GynecologyHospital of South JutlandAabenraaDenmark
| | - Charlotte B. Andersson
- Department of Obstetrics and GynecologyThe North Denmark Regional Hospital ThistedThistedDenmark,Danish Center for Clinical Health Services Research (DACS)AalborgDenmark
| | - Richard Farlie
- Department of Obstetrics and GynecologyViborg Regional HospitalViborgDenmark
| | | | - Lea Hansen
- Department of Obstetrics and GynecologyAarhus University HospitalAarhusDenmark
| | - Lone Hvidman
- Department of Obstetrics and GynecologyAarhus University HospitalAarhusDenmark
| | - Anne N. Sørensen
- Department of Obstetrics and GynecologyAalborg University HospitalAalborgDenmark
| | - Sidsel L. Rathcke
- Department of Obstetrics and GynecologyAalborg University HospitalAalborgDenmark
| | - Katrine H. Rubin
- OPEN, Odense University HospitalOdenseDenmark,Research Unit OPEN, Department of Clinical ResearchUniversity of Southern DenmarkOdenseDenmark
| | - Lone K. Petersen
- Department of Obstetrics and GynecologyOdense University HospitalOdenseDenmark,Research Unit OPEN, Department of Clinical ResearchUniversity of Southern DenmarkOdenseDenmark
| | - Jan S. Jørgensen
- Department of Obstetrics and GynecologyOdense University HospitalOdenseDenmark
| | - Lone Krebs
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark,Department of Obstetrics and GynecologyCopenhagen University Hospital – Amager and HvidovreHvidovreDenmark
| | - Mette Bliddal
- OPEN, Odense University HospitalOdenseDenmark,Research Unit OPEN, Department of Clinical ResearchUniversity of Southern DenmarkOdenseDenmark
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18
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Krogsgaard LW, Espenhain L, Tribler S, Sværke Jørgensen C, Hansen CH, Møller FT, Glode Helmuth I, Sönksen UW, Vangsted AM, Ullum H, Ethelberg S. Seroprevalence of SARS-CoV-2 Antibodies in Denmark: Results of Two Nationwide Population-Based Surveys, February and May 2021. Infect Drug Resist 2023; 16:301-312. [PMID: 36683911 PMCID: PMC9851711 DOI: 10.2147/idr.s383491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/14/2022] [Indexed: 01/15/2023] Open
Abstract
Background Seroprevalence studies can be used to measure the progression of national COVID-19 epidemics. The Danish National Seroprevalence Survey of SARS-CoV-2 infections (DSS) was conducted as five separate surveys between May 2020 and May 2021. Here, we present results from the two last surveys conducted in February and May 2021. Methods Persons aged 12 or older were randomly selected from the Danish Population Register and those having received COVID-19 vaccination subsequently excluded. Invitations to have blood drawn in local test centers were sent by mail. Samples were analyzed for whole Immunoglobulin by ELISA. Seroprevalence was estimated by sex, age and geography. Comparisons to vaccination uptake and RT-PCR test results were made. Results In February 2021, we found detectable antibodies in 7.2% (95% CI: 6.3-7.9%) of the invited participants (participation rate 25%) and in May 2021 in 8.6% (95% CI: 7.6-9.5%) of the invited (participation rate: 14%). Seroprevalence did not differ by sex, but by age group, generally being higher among the <50 than 50+ year-olds. In May 2021, levels of seroprevalence varied from an estimated 13% (95% CI: 12-15%) in the capital to 5.2% (95% CI: 3.4-7.4%) in rural areas. Combining seroprevalence results with vaccine coverage, estimates of protection against infection in May 2021 varied from 95% among 65+ year-olds down to 10-20% among 12-40 year-olds. In March-May 2021, an estimated 80% of all community SARS-CoV-2 infections were diagnosed by RT-PCR and captured by surveillance. Conclusion Seroprevalence estimates doubled during the 2020-21 winter wave of SARS-CoV-2 infections and then stabilized as vaccinations were rolled out. The epidemic affected large cities and younger people the most. Denmark saw comparatively low infections rates, but high test coverage; an estimated four out of five infections were detected by RT-PCR in March-May 2021.
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Affiliation(s)
- Lene Wulff Krogsgaard
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Laura Espenhain
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Siri Tribler
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | | | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Frederik Trier Møller
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Ida Glode Helmuth
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Ute Wolff Sönksen
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark,TestCentre Denmark, Statens Serum Institut, Copenhagen, Denmark
| | | | - Henrik Ullum
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Steen Ethelberg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark,Department of Public Health, University of Copenhagen, Copenhagen, Denmark,Correspondence: Steen Ethelberg, Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 5 Artillerivej, 2300 Copenhagen, Denmark, Tel +45 3268 3545, Email
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19
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Milota T, Smetanova J, Bartunkova J. Clinical Outcome of Coronavirus Disease 2019 in Patients with Primary Antibody Deficiencies. Pathogens 2023; 12:pathogens12010109. [PMID: 36678457 PMCID: PMC9860966 DOI: 10.3390/pathogens12010109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 12/30/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
In 2019, the novel coronavirus, SARS-CoV-2, caused a worldwide pandemic, affecting more than 630 million individuals and causing 6.5 million deaths. In the general population, poorer outcomes have been associated with older age, chronic lung and cardiovascular diseases, and lymphopenia, highlighting the important role of cellular immunity in the immune response against SARS-CoV-2. Moreover, SARS-CoV-2 variants may have a significant impact on disease severity. There is a significant overlap with complications commonly found in inborn errors of immunity (IEI), such as primary antibody deficiencies. The results of various studies have provided ambiguous findings. Several studies identified risk factors in the general population with a minor impact on SARS-CoV-2 infection. However, other studies have found a significant contribution of underlying immunodeficiency and immune-system dysregulation to the disease course. This ambiguity probably reflects the demographic differences and viral evolution. Impaired antibody production was associated with prolonged viral shedding, suggesting a critical role of humoral immunity in controlling SARS-CoV-2 infection. This may explain the poorer outcomes in primary antibody deficiencies compared to other IEIs. Understanding coronavirus disease 2019 (COVID-19) pathogenesis and identifying risk factors may help us identify patients at high risk of severe COVID-19 for whom preventive measures should be introduced.
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20
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Holmer HK, Mackey K, Fiordalisi CV, Helfand M. Major Update 2: Antibody Response and Risk for Reinfection After SARS-CoV-2 Infection-Final Update of a Living, Rapid Review. Ann Intern Med 2023; 176:85-91. [PMID: 36442059 PMCID: PMC9707440 DOI: 10.7326/m22-1745] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The durability of the antibody response after SARS-CoV-2 infection and the role of antibodies in protection against reinfection are unclear. PURPOSE To synthesize evidence on the SARS-CoV-2 antibody response and reinfection risk with a focus on gaps identified in our prior reports. DATA SOURCES MEDLINE (Ovid), EMBASE, CINAHL, World Health Organization Research Database, and reference lists from 16 December 2021 through 8 July 2022, with surveillance through 22 August 2022. STUDY SELECTION English-language, cohort studies evaluating IgG antibody duration at least 12 months after SARS-CoV-2 infection, the antibody response among immunocompromised adults, predictors of nonseroconversion, and reinfection risk. DATA EXTRACTION Two investigators sequentially extracted study data and rated quality. DATA SYNTHESIS Most adults had IgG antibodies after SARS-CoV-2 infection at time points greater than 12 months (low strength of evidence [SoE]). Although most immunocompromised adults develop antibodies, the overall proportion with antibodies is lower compared with immunocompetent adults (moderate SoE for organ transplant patients and low SoE for patients with cancer or HIV). Prior infection provided substantial, sustained protection against symptomatic reinfection with the Delta variant (high SoE) and reduced the risk for severe disease due to Omicron variants (moderate SoE). Prior infection was less protective against reinfection with Omicron overall (moderate SoE), but protection from earlier variants waned rapidly (low SoE). LIMITATION Single review for abstract screening and sequential review for study selection, data abstraction, and quality assessment. CONCLUSION Evidence for a sustained antibody response to SARS-CoV-2 infection is considerable for both Delta and Omicron variants. Prior infection protected against reinfection with both variants, but, for Omicron, protection was weaker and waned rapidly. This information may have limited clinical applicability as new variants emerge. PRIMARY FUNDING SOURCE Agency for Healthcare Research and Quality. (PROSPERO: CRD42020207098).
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Affiliation(s)
- Haley K Holmer
- Scientific Resource Center for the Agency for Healthcare Research and Quality, Portland, Oregon (H.K.H., C.V.F.)
| | | | - Celia V Fiordalisi
- Scientific Resource Center for the Agency for Healthcare Research and Quality, Portland, Oregon (H.K.H., C.V.F.)
| | - Mark Helfand
- VA Portland Health Care System and Scientific Resource Center for the Agency for Healthcare Research and Quality, Portland, Oregon (M.H.)
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21
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Ankomah PO, Siedner MJ, Bhattacharyya RP. Pre-Existing Population Immunity and severe acute respiratory syndrome coronavirus 2 Variant Establishment and Dominance Dynamics in the United States: An Ecological Study. Open Forum Infect Dis 2022; 9:ofac621. [PMID: 36544861 PMCID: PMC9764332 DOI: 10.1093/ofid/ofac621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022] Open
Abstract
We conducted an ecological analysis of the dynamics of Delta and Omicron establishment and dominance in US states. Omicron became the dominant circulating variant later in states with higher population-level immunity. By contrast, population immunity did not impact the maximum rate of takeover by Delta or Omicron from prior variants.
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Affiliation(s)
- Pierre O Ankomah
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Broad Institute, Cambridge, Massachusetts, USA
| | - Mark J Siedner
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Roby P Bhattacharyya
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Broad Institute, Cambridge, Massachusetts, USA
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22
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Babouee Flury B, Güsewell S, Egger T, Leal O, Brucher A, Lemmenmeier E, Meier Kleeb D, Möller JC, Rieder P, Rütti M, Schmid HR, Stocker R, Vuichard-Gysin D, Wiggli B, Besold U, McGeer A, Risch L, Friedl A, Schlegel M, Kuster SP, Kahlert CR, Kohler P. Risk and symptoms of COVID-19 in health professionals according to baseline immune status and booster vaccination during the Delta and Omicron waves in Switzerland-A multicentre cohort study. PLoS Med 2022; 19:e1004125. [PMID: 36342956 PMCID: PMC9678290 DOI: 10.1371/journal.pmed.1004125] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 11/21/2022] [Accepted: 10/14/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Knowledge about protection conferred by previous Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and/or vaccination against emerging viral variants allows clinicians, epidemiologists, and health authorities to predict and reduce the future Coronavirus Disease 2019 (COVID-19) burden. We investigated the risk and symptoms of SARS-CoV-2 (re)infection and vaccine breakthrough infection during the Delta and Omicron waves, depending on baseline immune status and subsequent vaccinations. METHODS AND FINDINGS In this prospective, multicentre cohort performed between August 2020 and March 2022, we recruited hospital employees from ten acute/nonacute healthcare networks in Eastern/Northern Switzerland. We determined immune status in September 2021 based on serology and previous SARS-CoV-2 infections/vaccinations: Group N (no immunity); Group V (twice vaccinated, uninfected); Group I (infected, unvaccinated); Group H (hybrid: infected and ≥1 vaccination). Date and symptoms of (re)infections and subsequent (booster) vaccinations were recorded until March 2022. We compared the time to positive SARS-CoV-2 swab and number of symptoms according to immune status, viral variant (i.e., Delta-dominant before December 27, 2021; Omicron-dominant on/after this date), and subsequent vaccinations, adjusting for exposure/behavior variables. Among 2,595 participants (median follow-up 171 days), we observed 764 (29%) (re)infections, thereof 591 during the Omicron period. Compared to group N, the hazard ratio (HR) for (re)infection was 0.33 (95% confidence interval [CI] 0.22 to 0.50, p < 0.001) for V, 0.25 (95% CI 0.11 to 0.57, p = 0.001) for I, and 0.04 (95% CI 0.02 to 0.10, p < 0.001) for H in the Delta period. HRs substantially increased during the Omicron period for all groups; in multivariable analyses, only belonging to group H was associated with protection (adjusted HR [aHR] 0.52, 95% CI 0.35 to 0.77, p = 0.001); booster vaccination was associated with reduction of breakthrough infection risk in groups V (aHR 0.68, 95% CI 0.54 to 0.85, p = 0.001) and H (aHR 0.67, 95% CI 0.45 to 1.00, p = 0.048), largely observed in the early Omicron period. Group H (versus N, risk ratio (RR) 0.80, 95% CI 0.66 to 0.97, p = 0.021) and participants with booster vaccination (versus nonboosted, RR 0.79, 95% CI 0.71 to 0.88, p < 0.001) reported less symptoms during infection. Important limitations are that SARS-CoV-2 swab results were self-reported and that results on viral variants were inferred from the predominating strain circulating in the community at that time, rather than sequencing. CONCLUSIONS Our data suggest that hybrid immunity and booster vaccination are associated with a reduced risk and reduced symptom number of SARS-CoV-2 infection during Delta- and Omicron-dominant periods. For previously noninfected individuals, booster vaccination might reduce the risk of symptomatic Omicron infection, although this benefit seems to wane over time.
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Affiliation(s)
- Baharak Babouee Flury
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
| | - Sabine Güsewell
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
| | - Thomas Egger
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
| | - Onicio Leal
- Epitrack, Recife, Brazil
- Department of Economics, University of Zurich, Zurich, Switzerland
| | - Angela Brucher
- Psychiatry Services of the Canton of St. Gallen (South), St Gallen, Switzerland
| | - Eva Lemmenmeier
- Clienia Littenheid AG, Private Clinic for Psychiatry and Psychotherapy, Littenheid, Switzerland
| | | | | | | | - Markus Rütti
- Fuerstenland Toggenburg Hospital Group, Wil, Switzerland
| | | | | | - Danielle Vuichard-Gysin
- Thurgau Hospital Group, Division of Infectious Diseases and Hospital Epidemiology, Muensterlingen, Switzerland
| | - Benedikt Wiggli
- Kantonsspital Baden, Division of Infectious Diseases and Hospital Epidemiology, Baden, Switzerland
| | - Ulrike Besold
- Geriatric Clinic St. Gallen, St. Gallen, Switzerland
| | | | - Lorenz Risch
- Labormedizinisches Zentrum Dr Risch Ostschweiz AG, Buchs, Switzerland
- Private Universität im Fürstentum Liechtenstein, Triesen, Liechtenstein
- Center of Laboratory Medicine, University Institute of Clinical Chemistry, University of Bern, Inselspital, Bern, Switzerland
| | - Andrée Friedl
- Kantonsspital Baden, Division of Infectious Diseases and Hospital Epidemiology, Baden, Switzerland
| | - Matthias Schlegel
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
| | - Stefan P. Kuster
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
| | - Christian R. Kahlert
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
- Children’s Hospital of Eastern Switzerland, Department of Infectious Diseases and Hospital Epidemiology, St. Gallen, Switzerland
- * E-mail: (CRK); (PK)
| | - Philipp Kohler
- Cantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland
- * E-mail: (CRK); (PK)
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23
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Nielsen KF, Moustsen-Helms IR, Schelde AB, Gram MA, Emborg HD, Nielsen J, Hansen CH, Andersen MA, Meaidi M, Wohlfahrt J, Valentiner-Branth P. Vaccine effectiveness against SARS-CoV-2 reinfection during periods of Alpha, Delta, or Omicron dominance: A Danish nationwide study. PLoS Med 2022; 19:e1004037. [PMID: 36413551 PMCID: PMC9681105 DOI: 10.1371/journal.pmed.1004037] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 10/25/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Individuals with a prior Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection have a moderate to high degree of protection against reinfection, though seemingly less so when the Omicron variant of SARS-CoV-2 started to circulate. The aim of this study was to evaluate the vaccine effectiveness (VE) against SARS-CoV-2 reinfection, Coronavirus Disease 2019 (COVID-19)-related hospitalization, and COVID-19-related death, in individuals with prior SARS-CoV-2 infection, and to assess the effect of time since vaccination during periods with different dominant SARS-CoV-2 variants. METHODS AND FINDINGS This study used a nationwide cohort design including all individuals with a confirmed SARS-CoV-2 infection, who were alive, and residing in Denmark between 1 January 2020 and 31 January 2022. Using Danish nationwide registries, we obtained information on SARS-CoV-2 infections, COVID-19 vaccination, age, sex, comorbidity, staying at hospital, and country of origin. The study population included were individuals with prior SARS-CoV-2 infection. Estimates of VE against SARS-CoV-2 reinfection with 95% confidence intervals (CIs) were calculated using a Poisson regression model and adjusted for age, sex, country of origin, comorbidity, staying at hospital, calendar time, and test incidence using a Cox regression model. The VE estimates were calculated separately for three periods with different dominant SARS-CoV-2 variants (Alpha (B.1.1.7), Delta (B.1.617.2), or Omicron (B.1.1.529)) and by time since vaccination using unvaccinated as the reference. In total, 148,527 person-years and 44,192 SARS-CoV-2 infections were included for the analysis regarding reinfections. The study population comprised of 209,814 individuals infected before or during the Alpha period, 292,978 before or during the Delta period, and 245,530 before or during the Omicron period. Of these, 40,281 individuals had completed their primary vaccination series during the Alpha period (19.2%), 190,026 during the Delta period (64.9%), and 158,563 during the Omicron period (64.6%). VE against reinfection following any COVID-19 vaccine type administered in Denmark, peaked at 71% (95% CI: -Inf to 100%) at 104 days or more after vaccination during the Alpha period, 94% (95% CI: 92% to 96%) 14 to 43 days after vaccination during the Delta period, and 60% (95% CI: 58% to 62%) 14 to 43 days after vaccination during the Omicron period. Waning immunity following vaccination was observed and was most pronounced during the Omicron period. Due to too few events, it was not possible to estimate VE for hospitalization and death. Study limitations include potentially undetected reinfections, differences in health-seeking behavior, or risk behavior between the compared groups. CONCLUSIONS This study shows that in previously infected individuals, completing a primary vaccination series was associated with a significant protection against SARS-CoV-2 reinfection compared with no vaccination. Even though vaccination seems to protect to a lesser degree against reinfection with the Omicron variant, these findings are of public health relevance as they show that previously infected individuals still benefit from COVID-19 vaccination in all three variant periods.
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Affiliation(s)
- Katrine Finderup Nielsen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- * E-mail:
| | - Ida Rask Moustsen-Helms
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Astrid Blicher Schelde
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Mie Agermose Gram
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Jens Nielsen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Michael Asger Andersen
- Department of Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Marianna Meaidi
- Department of Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Jan Wohlfahrt
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
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24
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Anichini G, Terrosi C, Gori Savellini G, Gandolfo C, Barbagli F, Carta GA, Fabrizi S, Miceli GB, Cusi MG. Antibody Response against Circulating Omicron Variants 8 Months after the Third Dose of mRNA Vaccine. Vaccines (Basel) 2022; 10:vaccines10091512. [PMID: 36146590 PMCID: PMC9501623 DOI: 10.3390/vaccines10091512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/07/2022] [Accepted: 09/09/2022] [Indexed: 02/05/2023] Open
Abstract
The COVID-19 wave is being recently propelled by BA.2 and, particularly, BA.5 lineages, showing clear transmission advantages over the previously circulating strains. In this study, neutralizing antibody responses against SARS-CoV-2 Wild-Type, BA.2 and BA.5 Omicron sublineages were evaluated among vaccinees, uninfected or infected with Omicron BA.1 strain, 8 months after the third dose of SARS-CoV-2 vaccine. The aim of this study was to compare the cross-protective humoral response to the currently circulating variant strains induced by vaccination, followed by Omicron infection in some subjects. Results showed a low antibody titer against all three variants in uninfected vaccinated subjects. On the other hand, vaccinated subjects, infected with BA.1 variant after receiving the third dose (about 40 days later), showed a strong response against both BA.2 and BA.5 strains, albeit with lower titers. This reinforces the concept that vaccination is fundamental to induce an adequate and protective immune response against SARS-CoV-2, but needs to be updated, in order to also widen the range of action towards emerging variants, phylogenetically distant from the Wuhan strain, against which the current formulation is targeted.
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Affiliation(s)
- Gabriele Anichini
- Virology Unit, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Chiara Terrosi
- Virology Unit, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Gianni Gori Savellini
- Virology Unit, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Claudia Gandolfo
- Virology Unit, Santa Maria AlleScotte University Hospital, V.le Bracci 1, 53100 Siena, Italy
| | - Francesca Barbagli
- Preventive Medicine and Health Surveillance Unit, Santa Maria AlleScotte University Hospital, V.le Bracci 1, 53100 Siena, Italy
| | - Giulio Alberto Carta
- Preventive Medicine and Health Surveillance Unit, Santa Maria AlleScotte University Hospital, V.le Bracci 1, 53100 Siena, Italy
| | - Simonetta Fabrizi
- Preventive Medicine and Health Surveillance Unit, Santa Maria AlleScotte University Hospital, V.le Bracci 1, 53100 Siena, Italy
| | - Giovanni Battista Miceli
- Preventive Medicine and Health Surveillance Unit, Santa Maria AlleScotte University Hospital, V.le Bracci 1, 53100 Siena, Italy
| | - Maria Grazia Cusi
- Virology Unit, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Virology Unit, Santa Maria AlleScotte University Hospital, V.le Bracci 1, 53100 Siena, Italy
- Correspondence:
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25
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Callebaut K, Stoefs A, Stylemans D, Soetens O, Crombé F, Vancutsem E, Imamura H, Wybo I, De Geyter D, Piérard D, Muyldermans A, Demuyser T. Healthcare-Associated SARS-CoV-2 Reinfection after 3 Months with a Phylogenetically Distinct Omicron Variant: A Case Report. Viruses 2022; 14:1852. [PMID: 36146659 PMCID: PMC9506013 DOI: 10.3390/v14091852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/08/2022] [Accepted: 08/14/2022] [Indexed: 11/16/2022] Open
Abstract
This case report describes a 60-year-old female patient suffering from systemic sclerosis, for which she received immunomodulatory drugs. Her first SARS-CoV-2-positive nasopharyngeal sample was obtained in the emergency department, on 31 January 2022. Whole genome sequencing confirmed infection with Omicron BA.1.1. Her hospital stay was long and punctuated by many complications, including admission to the intensive care unit. At the beginning of April 2022, she started complaining of increased coughing, for which another SARS-CoV-2 RT-qPCR test was performed. The latter nasopharyngeal swab showed a strongly positive result. To support the theory of healthcare-associated reinfection, whole genome sequencing was performed and confirmed reinfection with Omicron BA.2. Since this patient was one of ten positive cases in this particular ward, a hospital outbreak investigation was performed. Whole genome sequencing data were available for five of these ten patients and showed a cluster of four patients with ≤2 small nucleotide polymorphisms difference.
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Affiliation(s)
- Kim Callebaut
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Anke Stoefs
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Dimitri Stylemans
- Department of Pulmonology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Oriane Soetens
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Florence Crombé
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Ellen Vancutsem
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Hideo Imamura
- Brussels Interuniversity Genomics High Throughput Core (BRIGHTcore) Platform, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Ingrid Wybo
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Deborah De Geyter
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Denis Piérard
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Astrid Muyldermans
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Thomas Demuyser
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
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