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Mink S, Saely CH, Leiherer A, Reimann P, Frick M, Cadamuro J, Hitzl W, Drexel H, Fraunberger P. Antibody levels versus vaccination status in the outcome of older adults with COVID-19. JCI Insight 2024; 9:e183913. [PMID: 39435658 PMCID: PMC11529978 DOI: 10.1172/jci.insight.183913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 08/23/2024] [Indexed: 10/23/2024] Open
Abstract
BACKGROUNDDespite the currently prevailing, milder Omicron variant of COVID-19, older adults remain at elevated risk of hospital admission, critical illness, and death. Loss of efficacy of the immune system, including reduced strength, quality, and durability of antibody responses, may render generalized recommendations on booster vaccinations inadequate. There is a lack of data on the efficacy of antibody levels in older adults and on the utility of vaccination status versus antibody levels as a correlate of protection. It is further unclear whether antibody levels may be used to guide the timing of booster vaccinations in older adults.METHODSWe conducted a prospective multicenter cohort study comprising hospitalized patients with COVID-19. Anti-SARS-CoV-2 spike antibodies were measured on hospital admission. The primary endpoint was in-hospital mortality. Patients were stratified by age, antibody levels, and vaccination status. Multiple logistic regression and Cox regression analyses were conducted.RESULTSIn total, 785 older patients (≥60 years of age [a]) and 367 controls (<60a) were included. After adjusting for confounders, risk of mortality, ICU admission, endotracheal intubation, and oxygen administration was 4.9, 2.6, 6.5, and 2.3 times higher, respectively, if antibody levels were < 1,200 BAU/mL (aOR, 4.92 [95%CI, 2.59-9.34], P < 0.0001; aOR, 2.64 [95%CI, 1.52-4.62], P = 0.0006; aOR, 6.50 [95%CI, 1.48-28.47], P = 0.013; aOR, 2.34 [95%CI, 1.60-3.343], P < 0.0001). Older adults infected with the Omicron variant were approximately 6 times more likely to die if antibody levels were < 1,200 BAU/mL (aOR, 6.3 [95% CI, 2.43-16.40], P = 0.0002).CONCLUSIONAntibody levels were a stronger predictor of in-hospital mortality than vaccination status. Monitoring antibody levels may constitute a better and more direct approach for safeguarding older adults from adverse COVID-19 outcomes.
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Affiliation(s)
- Sylvia Mink
- Central Medical Laboratories, Feldkirch, Austria
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
| | - Christoph H. Saely
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
- VIVIT Institute and
| | - Andreas Leiherer
- Central Medical Laboratories, Feldkirch, Austria
- VIVIT Institute and
| | - Patrick Reimann
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
- Department of Internal Medicine, Academic Teaching Hospital Feldkirch, Feldkirch, Austria
| | - Matthias Frick
- Department of Internal Medicine, Academic Teaching Hospital Feldkirch, Feldkirch, Austria
| | - Janne Cadamuro
- Department of Laboratory Medicine, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Wolfgang Hitzl
- Department of Research and Innovation, Team Biostatistics and Publication of Clinical Trials, Paracelsus, Medical University, Salzburg, Austria
| | - Heinz Drexel
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
- VIVIT Institute and
- Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Peter Fraunberger
- Central Medical Laboratories, Feldkirch, Austria
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
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Schulz AA, Abt Y, von Oppen L, Wirtz MA. Readiness for influenza and COVID-19 vaccination in Germany: a comparative analysis. Front Psychol 2024; 15:1437942. [PMID: 39492811 PMCID: PMC11528425 DOI: 10.3389/fpsyg.2024.1437942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 10/03/2024] [Indexed: 11/05/2024] Open
Abstract
Introduction Vaccination readiness refers to psychological motives and beliefs that decisively determine individual and collective vaccination prevention behavior. Readiness to be vaccinated depends on expected individual and social benefits and harms. Differences exist in the perception of the threat of potential influenza vs. COVID-19 infection and its significance for the social environment. The study aimed to compare the 7C components of vaccination readiness for influenza and COVID-19 vaccination in adulthood. Methods A total of 317 adults answered the 7C vaccination readiness scale in two vaccination-specific versions (influenza vs. COVID-19) in an online survey from September 2022 to March 2023. Data were analyzed using repeated measures, including analysis of covariance, correlations, and multiple regression. Results For COVID-19, there is a higher readiness to be vaccinated compared to influenza regarding complacencyR (ηp = 0.683), constraintsR (ηp = 0.684), collective responsibility (ηp = 0.782), and compliance (ηp = 0.365). However, confidence (ηp = 0.161) and conspiracyR (ηp = 0.256) indicate an enhanced readiness for influenza vaccination (interaction scales × vaccination type: ηp = 0.602). Individual influenza vaccination recommendations and age do not or only marginally moderate these effects (interaction vaccination type × recommendation: ηp = 155). Discussion The 7C subscales reveal a differentiated pattern of readiness for the two vaccination types. This emphasizes the relevance of the multidimensional structure of the construct of vaccination readiness as well as the relevance of moderating effects of the respective vaccination type on the underlying motives and beliefs. Vaccination attitudes are influenced by cultural and social conditions as well as medical standards of care. Comparing attitudes to different vaccinations in different countries thus represents an important research desideratum in order to understand the concept of vaccination readiness more comprehensively.
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Affiliation(s)
| | | | | | - Markus A. Wirtz
- Research Methods in Health Science, University of Education, Freiburg, Germany
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3
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Mink S, Drexel H, Leiherer A, Cadamuro J, Hitzl W, Frick M, Reimann P, Saely CH, Fraunberger P. Anti-SARS-CoV-2 Antibodies versus Vaccination Status in CAD Patients with COVID-19: A Prospective, Propensity Score-Matched Cohort Study. Vaccines (Basel) 2024; 12:855. [PMID: 39203980 PMCID: PMC11359237 DOI: 10.3390/vaccines12080855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/20/2024] [Accepted: 07/26/2024] [Indexed: 09/03/2024] Open
Abstract
OBJECTIVES Despite the currently prevailing, milder Omicron variant, coronary artery disease (CAD) patients constitute a major risk group in COVID-19, exhibiting 2.6 times the mortality risk of non-CAD patients and representing over 22% of non-survivors. No data are currently available on the efficacy of antibody levels in CAD patients, nor on the relevance of vaccination status versus antibody levels for predicting severe courses and COVID-19 mortality. Nor are there definitive indicators to assess if individual CAD patients are sufficiently protected from adverse outcomes or to determine the necessity of booster vaccinations. METHODS A prospective, propensity-score-matched, multicenter cohort study comprising 249 CAD patients and 903 controls was conducted. Anti-SARS-CoV-2-spike antibodies were measured on hospital admission. Prespecified endpoints were in-hospital mortality, intensive care, and oxygen administration. RESULTS After adjustment for potential confounders, CAD patients exhibited 4.6 and 6.1-times higher mortality risks if antibody levels were <1200 BAU/mL and <182 BAU/mL, respectively, compared to CAD patients above these thresholds (aOR 4.598, 95%CI 2.426-8.714, p < 0.001; 6.147, 95%CI 2.529-14.941, p < 0.001). Risk of intensive care was 3.7 and 4.0 (p = 0.003; p < 0.001), and risk of oxygen administration 2.6 and 2.4 times higher below these thresholds (p = 0.004; p = 0.010). Vaccination status was a weaker predictor of all three outcomes than both antibody thresholds. CONCLUSION Antibody levels are a stronger predictor of outcome in CAD patients with COVID-19 than vaccination status, with 1200 BAU/mL being the more conservative threshold. Measuring anti-SARS-CoV-2 antibodies in CAD patients may ensure enhanced protection by providing timely booster vaccinations and identifying high-risk CAD patients at hospital admission.
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Affiliation(s)
- Sylvia Mink
- Central Medical Laboratories, 6800 Feldkirch, Austria
- Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein
| | - Heinz Drexel
- Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein
- VIVIT Institute, Academic Teaching Hospital Feldkirch, 6800 Feldkirch, Austria
- Drexel University College of Medicine, Philadelphia, PA 19129, USA
| | - Andreas Leiherer
- Central Medical Laboratories, 6800 Feldkirch, Austria
- VIVIT Institute, Academic Teaching Hospital Feldkirch, 6800 Feldkirch, Austria
| | - Janne Cadamuro
- Department of Laboratory Medicine, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Wolfgang Hitzl
- Department of Research and Innovation, Team Biostatistics and Publication of Clinical Trials, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Matthias Frick
- Department of Internal Medicine, Academic Teaching Hospital Feldkirch, 6800 Feldkirch, Austria
| | - Patrick Reimann
- Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein
- Department of Internal Medicine, Academic Teaching Hospital Feldkirch, 6800 Feldkirch, Austria
| | - Christoph H. Saely
- Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein
- VIVIT Institute, Academic Teaching Hospital Feldkirch, 6800 Feldkirch, Austria
| | - Peter Fraunberger
- Central Medical Laboratories, 6800 Feldkirch, Austria
- Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein
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4
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Moniz M, Pereira S, Soares P, Aguiar P, Donato H, Leite A. Individual risk factors associated with SARS-CoV-2 infection during Alpha variant in high-income countries: a systematic review and meta-analysis. Front Public Health 2024; 12:1367480. [PMID: 39139667 PMCID: PMC11319152 DOI: 10.3389/fpubh.2024.1367480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 07/18/2024] [Indexed: 08/15/2024] Open
Abstract
Objectives This study aimed to systematically appraise risk factors associated with SARS-CoV-2 infection in high-income countries during the period of predominance of the Alpha variant (January 2020 to April 2021). Methods Four electronic databases were used to search observational studies. Literature search, study screening, data extraction and quality assessment were conducted by two authors independently. Meta-analyses were conducted for each risk factor, when appropriate. Results From 12,094 studies, 27 were included. The larger sample size was 17,288,532 participants, more women were included, and the age range was 18-117 years old. Meta-analyses identified men [Odds Ratio (OR): 1.23, 95% Confidence Interval (CI): 1.97-1.42], non-white ethnicity (OR: 1.63, 95% CI: 1.39-1.91), household number (OR: 1.08, 95% CI: 1.06-1.10), diabetes (OR: 1.22, 95% CI: 1.08-1.37), cancer (OR: 0.82, 95% CI: 0.68-0.98), cardiovascular diseases (OR: 0.92, 95% CI: 0.84-1.00), asthma (OR: 0.83, 95% CI: 0.75-0.92) and ischemic heart disease (OR: 0.82, 95% CI: 0.74-0.91) as associated with SARS-CoV-2 infection. Conclusion This study indicated several risk factors for SARS-CoV-2 infection. Due to the heterogeneity of the studies included, more studies are needed to understand the factors that increase the risk for SARS-CoV-2 infection. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021244148, PROSPERO registration number, CRD42021244148.
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Affiliation(s)
- Marta Moniz
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
| | - Sofia Pereira
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
- Public Health Unit, Amadora Primary Healthcare Cluster, Lisbon, Portugal
| | - Patricia Soares
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
- Department of Epidemiology, Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Pedro Aguiar
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
| | - Helena Donato
- Documentation and Scientific Information Service, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Andreia Leite
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
- Department of Epidemiology, Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), Lisbon, Portugal
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Mink S, Reimann P, Fraunberger P. Prognostic value of anti-SARS-CoV-2 antibodies: a systematic review. Clin Chem Lab Med 2024; 62:1029-1043. [PMID: 38349073 DOI: 10.1515/cclm-2023-1487] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 02/02/2024] [Indexed: 04/30/2024]
Abstract
OBJECTIVES Globally, over 772 million cases of COVID-19 have been reported. New variants of interest with corresponding spikes in case numbers continue to be identified. Vulnerable patients, including older adults or patients with severe comorbidities, continue to be at risk. A large body of evidence has been accumulated regarding anti-SARS-CoV-2-antibodies and COVID-19 but the usefulness of antibody measurements remains unclear. This systematic review aims to assess the prognostic value of anti-SARS-CoV-2-antibodies and their usefulness for guiding booster vaccinations. METHODS Studies in English and published between January 2020 and October 2023 were included. Studies that relied on multiparameter-models or comprised fewer than 100 participants were excluded. PubMed and via the WHO COVID-19 research database, Embase and Medline databases were searched. Study selection and quality assessment was conducted independently by two researchers. RESULTS After screening 1,160 studies, 33 studies comprising >30 million individuals were included. Anti-SARS-CoV-2-antibodies were strongly associated with reduced risk of SARS-CoV-2-infection and better outcomes, including mortality. Risk of infection and COVID-19 severity decreased with increasing antibody levels. CONCLUSIONS Anti-SARS-CoV-2-antibodies are useful for early identification of high-risk patients and timely adjustment of therapy. Protective thresholds may be applied to advise booster vaccinations but verification in separate cohorts is required.
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Affiliation(s)
- Sylvia Mink
- Central Medical Laboratories, Feldkirch, Austria
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
| | - Patrick Reimann
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
- Department of Internal Medicine, Academic Teaching Hospital Feldkirch, Feldkirch, Austria
| | - Peter Fraunberger
- Central Medical Laboratories, Feldkirch, Austria
- Private University in the Principality of Liechtenstein, Triesen, Principality of Liechtenstein
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6
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Petráš M, Janovská D, Lomozová D, Franklová M, Dlouhý P, Rosina J, Lesná IK. Understanding the time-driven shifts of vaccine effectiveness against any and severe COVID-19 before and after the surge of Omicron variants within 2.5 years of vaccination: A meta-regression. Int J Infect Dis 2024; 142:106986. [PMID: 38417615 DOI: 10.1016/j.ijid.2024.106986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/06/2024] [Accepted: 02/23/2024] [Indexed: 03/01/2024] Open
Abstract
OBJECTIVES The COVID-19 pandemic required rapid development of vaccines within a short period of time which did not allow to assess vaccine effectiveness (VE) in the long-term. METHODS A computerized literature search was undertaken to identify eligible studies, with no language restrictions, published between 1 December 2020 and 30 June 2023. RESULTS Out of a total of 27,597 publications, 761 studies were included. Early VE of 87.2% decreased to 55.1% after 9 months among populations fully immunized not only with mRNA (proxy mRNA) vaccines, and 66.3% decreased to 23.5% in populations immunized exclusively with non-mRNA vaccines. Protection against severe COVID-19 declined to 80.9% for proxy mRNA vaccines and 67.2% for non-mRNA vaccines. Omicron variants significantly diminished VE. Within 6-8 months of receiving a single booster of an mRNA vaccine, VE declined to 14.0% and 67.7% for any and severe COVID-19, respectively. Multiple mRNA booster doses restored protection that declined to 29.5% and 70.6% for any and severe COVID-19, respectively, within 5-7 months. CONCLUSION Outcomes of this meta-regression underscore the evolving nature of COVID-19 in response to vaccination, dosing schedules, and emerging variants, and provide crucial insights for public health interventions and vaccination strategies.
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Affiliation(s)
- Marek Petráš
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Daniela Janovská
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Danuše Lomozová
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Martina Franklová
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pavel Dlouhý
- Department of Hygiene, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jozef Rosina
- Department of Medical Biophysics and Informatics, Third Faculty of Medicine, Charles University, Prague, Czech Republic; Department of Health Care and Population Protection, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic
| | - Ivana Králová Lesná
- Laboratory for Atherosclerosis Research, Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; Department of Anesthesia and Intensive Medicine, First Faculty of Medicine, Charles University and University Military Hospital, Prague, Czech Republic
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Costa PN, Pereira JO, Cañigral AH, Quintana EM, Sanchez-Nieto JM, Delis PB, Villarroya AR, Gomez LL, Fernandez NA, Alcaraz AC. Vaccination status and outcomes in critical COVID-19 patients. J Bras Pneumol 2024; 50:e20230116. [PMID: 38422336 PMCID: PMC11095925 DOI: 10.36416/1806-3756/e20230116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 12/04/2023] [Indexed: 03/02/2024] Open
Abstract
OBJECTIVE To analyze the clinical characteristics and outcomes of patients with COVID-19-related acute respiratory failure on the basis of their vaccination status at the time of ICU admission. METHODS We conducted a retrospective observational study using a prospective database of patients admitted to the ICU of a university hospital in the city of Murcia, in Spain, between January 1, 2021 and September 1, 2022. Clinical, analytical, and sociodemographic data were collected and analyzed on the basis of patient vaccination status. We adjusted for confounding variables using propensity score matching and calculated adjusted ORs and 95% CIs. RESULTS A total of 276 patients were included in the study. Of those, 8.3% were fully vaccinated, 12% were partially vaccinated, and 79.7% were unvaccinated. Although fully vaccinated patients had more comorbidities, partially vaccinated patients had higher disease severity. The proportion of patients with severe acute respiratory failure was higher in the unvaccinated group, followed by the partially vaccinated group. No significant differences were found among the different groups regarding complications, duration of ventilatory support, or length of ICU/hospital stay. In the sample selected by propensity score matching, the number of patients with severe complications and the in-hospital mortality rate were higher in unvaccinated patients, but the differences were not significant. CONCLUSIONS This study failed to show a significant improvement in outcomes in critically ill COVID-19 patients vaccinated against SARS-CoV-2. However, the CIs were wide and the mortality point estimates favored patients who received at least one dose of COVID-19 vaccine.
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Affiliation(s)
- Pedro Nogueira Costa
- . Departamento de Pneumologia, Centro Hospitalar e Universitário de Coimbra, Universidade de Coimbra, Coimbra, Portugal
| | - João Oliveira Pereira
- . Departamento de Pneumologia, Centro Hospitalar e Universitário de Coimbra, Universidade de Coimbra, Coimbra, Portugal
| | - Aurea Higon Cañigral
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
| | - Elena Martinez Quintana
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
| | - Juan Miguel Sanchez-Nieto
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
| | - Pablo Bayoumy Delis
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
| | - Ana Renedo Villarroya
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
| | - Laura Lopez Gomez
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
| | - Nuria Alonso Fernandez
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
| | - Andrés Carrillo Alcaraz
- . Unidad de Cuidados Intensivos y Ventilación No Invasiva, Hospital General Universitario Morales Meseguer, Murcia, España
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Mink S, Fraunberger P. Anti-SARS-CoV-2 Antibody Testing: Role and Indications. J Clin Med 2023; 12:7575. [PMID: 38137643 PMCID: PMC10744049 DOI: 10.3390/jcm12247575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/20/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Since the onset of the COVID-19 pandemic in March 2020, over 769 million confirmed COVID-19 cases, including close to 7 million COVID-19-related deaths, have been reported. Although mortality rates have dropped notably compared to the first months of the pandemic, spikes in reported cases and mortality rates continue to be registered. Both recent spikes in case numbers and the continued emergence of new variants suggest that vulnerable patient groups, including older adults, immunocompromised patients, and patients with severe comorbidities, are going to continue to be affected by COVID-19. In order to curb the pandemic, relieve the pressure on primary care facilities, and reduce mortality rates, global vaccination programs have been established by the WHO, with over 13.5 billion vaccine doses having been administered globally. In most immunocompetent individuals, vaccination against COVID-19 results in the production of anti-SARS-CoV-2 spike antibodies. However, certain patient subsets have inadequate or reduced immune responses, and immune responses are known to decrease with age. General recommendations on the timing of booster vaccinations may therefore be insufficient to protect vulnerable patients. This review aims to evaluate the clinical role of anti-SARS-CoV-2 antibodies, focusing on measurement indications, prognostic value, and potential as a correlate of protection to guide future booster vaccination strategies.
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Affiliation(s)
- Sylvia Mink
- Central Medical Laboratories, 6800 Feldkirch, Austria
- Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein
| | - Peter Fraunberger
- Central Medical Laboratories, 6800 Feldkirch, Austria
- Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein
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Reinkemeyer C, Khazaei Y, Weigert M, Hannes M, Le Gleut R, Plank M, Winter S, Noreña I, Meier T, Xu L, Rubio-Acero R, Wiegrebe S, Le Thi TG, Fuchs C, Radon K, Paunovic I, Janke C, Wieser A, Küchenhoff H, Hoelscher M, Castelletti N. The Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf): Risk Factors and Determinants of Immune Response in Healthcare Workers. Viruses 2023; 15:1574. [PMID: 37515259 PMCID: PMC10383736 DOI: 10.3390/v15071574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/11/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
Antibody studies analyze immune responses to SARS-CoV-2 vaccination and infection, which is crucial for selecting vaccination strategies. In the KoCo-Impf study, conducted between 16 June and 16 December 2021, 6088 participants aged 18 and above from Munich were recruited to monitor antibodies, particularly in healthcare workers (HCWs) at higher risk of infection. Roche Elecsys® Anti-SARS-CoV-2 assays on dried blood spots were used to detect prior infections (anti-Nucleocapsid antibodies) and to indicate combinations of vaccinations/infections (anti-Spike antibodies). The anti-Spike seroprevalence was 94.7%, whereas, for anti-Nucleocapsid, it was only 6.9%. HCW status and contact with SARS-CoV-2-positive individuals were identified as infection risk factors, while vaccination and current smoking were associated with reduced risk. Older age correlated with higher anti-Nucleocapsid antibody levels, while vaccination and current smoking decreased the response. Vaccination alone or combined with infection led to higher anti-Spike antibody levels. Increasing time since the second vaccination, advancing age, and current smoking reduced the anti-Spike response. The cumulative number of cases in Munich affected the anti-Spike response over time but had no impact on anti-Nucleocapsid antibody development/seropositivity. Due to the significantly higher infection risk faced by HCWs and the limited number of significant risk factors, it is suggested that all HCWs require protection regardless of individual traits.
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Affiliation(s)
- Christina Reinkemeyer
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Yeganeh Khazaei
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Maximilian Weigert
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
- Munich Center for Machine Learning (MCML), 80539 Munich, Germany
| | - Marlene Hannes
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Ronan Le Gleut
- Institute of Computational Biology, Helmholtz Munich, 85764 Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, 85764 Neuherberg, Germany
| | - Michael Plank
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Simon Winter
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Ivan Noreña
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Theresa Meier
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Lisa Xu
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Simon Wiegrebe
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
- Department of Genetic Epidemiology, University of Regensburg, 93053 Regensburg, Germany
| | - Thu Giang Le Thi
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, Lindwurmstrasse 4, 80337 Munich, Germany
| | - Christiane Fuchs
- Institute of Computational Biology, Helmholtz Munich, 85764 Neuherberg, Germany
- Core Facility Statistical Consulting, Helmholtz Munich, 85764 Neuherberg, Germany
- Faculty of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany
- Center for Mathematics, Technische Universität München, 85748 Garching, Germany
| | - Katja Radon
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
- Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 89337 Munich, Germany
| | - Ivana Paunovic
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Christian Janke
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 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
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Ludwigstraße 33, 80539 Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, 80802 Munich, Germany
- Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, 80799 Munich, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, LMU 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 Zentrum München, 85764 Neuherberg, Germany
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10
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Abstract
Convergence of the two pandemics: metabolic syndrome and COVID-19 over last two years has posed unprecedented challenges to individuals as well as healthcare systems. Epidemiological data suggest a close association between metabolic syndrome and COVID-19 while variety of possible pathogenic connections have been proposed while some have been proven. Despite the evidence of high risk for adverse COVID-19 outcomes in people with metabolic syndrome, little is known about the differences in efficacy and safety among people with metabolic syndrome and without. It is important to recognize that among people with metabolic syndrome This review summarizes the current knowledge and epidemiological evidence on the association between metabolic syndrome and adverse COVID-19 outcomes, pathogenic interrelationships, management considerations for acute COVID-19 and post-COVID sequalae and sustaining care of people living with metabolic syndrome with appraisal of evidence and gaps in knowledge.
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Affiliation(s)
- Harsha Dissanayake
- Diabetes Research Unit, Department of Clinical Medicine, Faculty of Medicine, University of Colombo, Sri Lanka; Postgraduate Institute of Medicine, University of Colombo, Sri Lanka.
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11
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Zhou Q, Liu Y, Zeng F, Meng Y, Liu H, Deng G. Correlation between CD4 T-Cell Counts and Seroconversion among COVID-19 Vaccinated Patients with HIV: A Meta-Analysis. Vaccines (Basel) 2023; 11:vaccines11040789. [PMID: 37112701 PMCID: PMC10141854 DOI: 10.3390/vaccines11040789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 03/24/2023] [Accepted: 03/30/2023] [Indexed: 04/07/2023] Open
Abstract
Objective: To evaluate the potential factors for predicting seroconversion due to the coronavirus disease 2019 (COVID-19) vaccine in people living with HIV (PLWH). Method: We searched the PubMed, Embase and Cochrane databases for eligible studies published from inception to 13th September 2022 on the predictors of serologic response to the COVID-19 vaccine among PLWH. This meta-analysis was registered with PROSPERO (CRD42022359603). Results: A total of 23 studies comprising 4428 PLWH were included in the meta-analysis. Pooled data demonstrated that seroconversion was about 4.6 times in patients with high CD4 T-cell counts (odds ratio (OR) = 4.64, 95% CI 2.63 to 8.19) compared with those with low CD4 T-cell counts. Seroconversion was about 17.5 times in patients receiving mRNA COVID-19 vaccines (OR = 17.48, 95% CI 6.16 to 49.55) compared with those receiving other types of COVID-19 vaccines. There were no differences in seroconversion among patients with different ages, gender, HIV viral load, comorbidities, days after complete vaccination, and mRNA type. Subgroup analyses further validated our findings about the predictive value of CD4 T-cell counts for seroconversion due to COVID-19 vaccines in PLWH (OR range, 2.30 to 9.59). Conclusions: The CD4 T-cell counts were associated with seroconversion in COVID-19 vaccinated PLWH. Precautions should be emphasized in these patients with low CD4 T-cell counts, even after a complete course of vaccination.
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Affiliation(s)
- Qian Zhou
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yihuang Liu
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Furong Zeng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yu Meng
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Hong Liu
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Guangtong Deng
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
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12
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Ferraresi A, Isidoro C. Will Omics Biotechnologies Save Us from Future Pandemics? Lessons from COVID-19 for Vaccinomics and Adversomics. Biomedicines 2022; 11:52. [PMID: 36672560 PMCID: PMC9855897 DOI: 10.3390/biomedicines11010052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/19/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
The COVID-19 pandemic had cross-cutting impacts on planetary health, quotidian life, and society. Mass vaccination with the current gene-based vaccines has helped control the pandemic but unfortunately it has not shown effectiveness in preventing the spread of the virus. In addition, not all individuals respond to these vaccines, while others develop adverse reactions that cannot be neglected. It is also a fact that some individuals are more susceptible to infection while others develop effective immunization post-infection. We note here that the person-to-person and population variations in vaccine efficacy and side effects have been studied in the field of vaccinomics long before the COVID-19 pandemic. Additionally, the field of adversomics examines the mechanisms of individual differences in the side effects of health interventions. In this review, we discuss the potential of a multi-omics approach for comprehensive profiling of the benefit/risk ratios of vaccines. Vaccinomics and adversomics stand to benefit planetary health and contribute to the prevention of future pandemics in the 21st century by offering precision guidance to clinical trials as well as promoting precision use of vaccines in ways that proactively respond to individual and population differences in their efficacy and safety. This vision of pandemic prevention based on personalized instead of mass vaccination also calls for equity in access to precision vaccines and diagnostics that support a vision and practice of vaccinomics and adversomics in planetary health.
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Affiliation(s)
| | - Ciro Isidoro
- Laboratory of Molecular Pathology, Department of Health Sciences, Università del Piemonte Orientale, Via Solaroli 17, 28100 Novara, Italy
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