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Sarkar A, Omar S, Alshareef A, Fanous K, Sarker S, Alroobi H, Zamir F, Yousef M, Zakaria D. The relative prevalence of the Omicron variant within SARS-CoV-2 infected cohorts in different countries: A systematic review. Hum Vaccin Immunother 2023; 19:2212568. [PMID: 37254497 PMCID: PMC10234134 DOI: 10.1080/21645515.2023.2212568] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 05/08/2023] [Indexed: 06/01/2023] Open
Abstract
The Omicron variant of SARS-CoV-2 was detected in October 2021 and exhibited high transmissibility, immune evasion, and reduced severity when compared to the earlier variants. The lesser vaccine effectiveness against Omicron and its reduced severity created vaccination hesitancy among the public. This review compiled data reporting the relative prevalence of Omicron as compared to the early variants to give an insight into the existing variants, which may shape the decisions regarding the targets of the newly developed vaccines. Complied data revealed more than 90% prevalence within the infected cohorts in some countries. The BA.1 subvariant predominated over the BA.2 during the early stages of the Omicron wave. Moreover, BA.4/BA.5 subvariants were detected in South Africa, USA and Italy between October 2021 and April 2022. It is therefore important to develop vaccines that protect against Omicron as well as the early variants, which are known to cause more severe complications.
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Affiliation(s)
| | - Sara Omar
- Medical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Aya Alshareef
- Medical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Kareem Fanous
- Medical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Shaunak Sarker
- Medical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Hasan Alroobi
- Medical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Fahad Zamir
- Premedical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Mahmoud Yousef
- Premedical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Dalia Zakaria
- Premedical Division, Weill Cornell Medicine-Qatar, Doha, Qatar
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2
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Chang F, Krishnan J, Hurst JH, Yarrington ME, Anderson DJ, O'Brien EC, Goldstein BA. Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis. JMIR Med Inform 2023; 11:e46267. [PMID: 37621195 PMCID: PMC10466442 DOI: 10.2196/46267] [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: 02/07/2023] [Revised: 05/19/2023] [Accepted: 06/17/2023] [Indexed: 06/27/2023] Open
Abstract
Background Throughout the COVID-19 pandemic, many hospitals conducted routine testing of hospitalized patients for SARS-CoV-2 infection upon admission. Some of these patients are admitted for reasons unrelated to COVID-19 and incidentally test positive for the virus. Because COVID-19-related hospitalizations have become a critical public health indicator, it is important to identify patients who are hospitalized because of COVID-19 as opposed to those who are admitted for other indications. Objective We compared the performance of different computable phenotype definitions for COVID-19 hospitalizations that use different types of data from electronic health records (EHRs), including structured EHR data elements, clinical notes, or a combination of both data types. Methods We conducted a retrospective data analysis, using clinician chart review-based validation at a large academic medical center. We reviewed and analyzed the charts of 586 hospitalized individuals who tested positive for SARS-CoV-2 in January 2022. We used LASSO (least absolute shrinkage and selection operator) regression and random forests to fit classification algorithms that incorporated structured EHR data elements, clinical notes, or a combination of structured data and clinical notes. We used natural language processing to incorporate data from clinical notes. The performance of each model was evaluated based on the area under the receiver operator characteristic curve (AUROC) and an associated decision rule based on sensitivity and positive predictive value. We also identified top words and clinical indicators of COVID-19-specific hospitalization and assessed the impact of different phenotyping strategies on estimated hospital outcome metrics. Results Based on a chart review, 38.2% (224/586) of patients were determined to have been hospitalized for reasons other than COVID-19, despite having tested positive for SARS-CoV-2. A computable phenotype that used clinical notes had significantly better discrimination than one that used structured EHR data elements (AUROC: 0.894 vs 0.841; P<.001) and performed similarly to a model that combined clinical notes with structured data elements (AUROC: 0.894 vs 0.893; P=.91). Assessments of hospital outcome metrics significantly differed based on whether the population included all hospitalized patients who tested positive for SARS-CoV-2 or those who were determined to have been hospitalized due to COVID-19. Conclusions These findings highlight the importance of cause-specific phenotyping for COVID-19 hospitalizations. More generally, this work demonstrates the utility of natural language processing approaches for deriving information related to patient hospitalizations in cases where there may be multiple conditions that could serve as the primary indication for hospitalization.
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Affiliation(s)
- Feier Chang
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States
| | - Jay Krishnan
- Department of Medicine, Duke University, Durham, NC, United States
| | - Jillian H Hurst
- Department of Pediatrics, Duke University, Durham, NC, United States
| | | | | | - Emily C O'Brien
- Department of Population Health Sciences, Duke University, Durham, NC, United States
- Duke Clinical Research Institute, Duke University, Durham, NC, United States
| | - Benjamin A Goldstein
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States
- Department of Pediatrics, Duke University, Durham, NC, United States
- Department of Population Health Sciences, Duke University, Durham, NC, United States
- Duke Clinical Research Institute, Duke University, Durham, NC, United States
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3
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Mboussou F, Farham B, Nsasiirwe S, Atagbaza A, Oyaole D, Atuhebwe PL, Alegana V, Osei-sarpong F, Bwaka A, Paluku G, Petu A, Efe-Aluta O, Kalu A, Bagayoko MM, Impouma B. COVID-19 Vaccination in the WHO African Region: Progress Made in 2022 and Factors Associated. Vaccines (Basel) 2023; 11:1010. [PMID: 37243114 PMCID: PMC10223522 DOI: 10.3390/vaccines11051010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/13/2023] [Accepted: 03/17/2023] [Indexed: 05/28/2023] Open
Abstract
This study summarizes progress made in rolling out COVID-19 vaccinations in the African region in 2022, and analyzes factors associated with vaccination coverage. Data on vaccine uptake reported to the World Health Organization (WHO) Regional Office for Africa by Member States between January 2021 and December 2022, as well as publicly available health and socio-economic data, were used. A negative binomial regression was performed to analyze factors associated with vaccination coverage in 2022. As of the end of 2022, 308.1 million people had completed the primary vaccination series, representing 26.4% of the region's population, compared to 6.3% at the end of 2021. The percentage of health workers with complete primary series was 40.9%. Having carried out at least one high volume mass vaccination campaign in 2022 was associated with high vaccination coverage (β = 0.91, p < 0.0001), while higher WHO funding spent per person vaccinated in 2022 was correlated with lower vaccination coverage (β = -0.26, p < 0.03). All countries should expand efforts to integrate COVID-19 vaccinations into routine immunization and primary health care, and increase investment in vaccine demand generation during the transition period that follows the acute phase of the pandemic.
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Affiliation(s)
- Franck Mboussou
- World Health Organization, Regional Office for Africa, Brazzaville P.O. Box 06, Congo
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4
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Pell B, Brozak S, Phan T, Wu F, Kuang Y. The emergence of a virus variant: dynamics of a competition model with cross-immunity time-delay validated by wastewater surveillance data for COVID-19. J Math Biol 2023; 86:63. [PMID: 36988621 PMCID: PMC10054223 DOI: 10.1007/s00285-023-01900-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/28/2022] [Accepted: 03/12/2023] [Indexed: 03/30/2023]
Abstract
We consider the dynamics of a virus spreading through a population that produces a mutant strain with the ability to infect individuals that were infected with the established strain. Temporary cross-immunity is included using a time delay, but is found to be a harmless delay. We provide some sufficient conditions that guarantee local and global asymptotic stability of the disease-free equilibrium and the two boundary equilibria when the two strains outcompete one another. It is shown that, due to the immune evasion of the emerging strain, the reproduction number of the emerging strain must be significantly lower than that of the established strain for the local stability of the established-strain-only boundary equilibrium. To analyze the unique coexistence equilibrium we apply a quasi steady-state argument to reduce the full model to a two-dimensional one that exhibits a global asymptotically stable established-strain-only equilibrium or global asymptotically stable coexistence equilibrium. Our results indicate that the basic reproduction numbers of both strains govern the overall dynamics, but in nontrivial ways due to the inclusion of cross-immunity. The model is applied to study the emergence of the SARS-CoV-2 Delta variant in the presence of the Alpha variant using wastewater surveillance data from the Deer Island Treatment Plant in Massachusetts, USA.
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Affiliation(s)
- Bruce Pell
- Mathematics and Computer Science Department, Lawrence Technological University, 21000 W. 10 Mile Rd, Southfield, MI, 48075, USA.
| | - Samantha Brozak
- School of Mathematical and Statistical Sciences, Arizona State University, 901 S. Palm Walk, Tempe, AZ, 85287-1804, USA
| | - Tin Phan
- Theoretical Biology and Biophysics Group, Houston, Los Alamos, NM, 87545, USA
| | - Fuqing Wu
- Texas Epidemic Public Health Institute, Houston, TX, 77030, USA
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, 77030, USA
| | - Yang Kuang
- School of Mathematical and Statistical Sciences, Arizona State University, 901 S. Palm Walk, Tempe, AZ, 85287-1804, USA
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5
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Doll MK, Waghmare A, Heit A, Levenson Shakoor B, Kimball LE, Ozbek N, Blazevic RL, Mose L, Boonyaratanakornkit J, Stevens-Ayers TL, Cornell K, Sheppard BD, Hampson E, Sharmin F, Goodwin B, Dan JM, Archie T, O’Connor T, Heckerman D, Schmitz F, Boeckh M, Crotty S. Acute and Postacute COVID-19 Outcomes Among Immunologically Naive Adults During Delta vs Omicron Waves. JAMA Netw Open 2023; 6:e231181. [PMID: 36853602 PMCID: PMC9975921 DOI: 10.1001/jamanetworkopen.2023.1181] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/12/2023] [Indexed: 03/01/2023] Open
Abstract
Importance The US arrival of the Omicron variant led to a rapid increase in SARS-CoV-2 infections. While numerous studies report characteristics of Omicron infections among vaccinated individuals or persons with previous infection, comprehensive data describing infections among adults who are immunologically naive are lacking. Objectives To examine COVID-19 acute and postacute clinical outcomes among a well-characterized cohort of unvaccinated and previously uninfected adults who contracted SARS-CoV-2 during the Omicron (BA.1/BA.2) surge, and to compare outcomes with infections that occurred during the Delta wave. Design, Setting, and Participants This prospective multisite cohort study included community-dwelling adults undergoing high-resolution symptom and virologic monitoring in 8 US states between June 2021 and September 2022. Unvaccinated adults aged 30 to less than 65 years without an immunological history of SARS-CoV-2 who were at high risk of infection were recruited. Participants were followed for up to 48 weeks, submitting regular COVID-19 symptom surveys and nasal swabs for SARS-CoV-2 polymerase chain reaction (PCR) testing. Data were analyzed from May to October 2022. Exposures Omicron (BA.1/BA.2 lineages) vs Delta SARS-CoV-2 infection, defined as a positive PCR test result that occurred during a period when the variant represented at least 50% of circulating SARS-CoV-2 variants in the participant's geographic region. Main Outcomes and Measure(s) The main outcomes examined were the prevalence and severity of acute (≤28 days after onset) and postacute (≥5 weeks after onset) symptoms. Results Among 274 participants who were immunologically naive (mean [SD] age, 49 [9.7] years; 186 [68%] female; 19 [7%] Hispanic participants; 242 [88%] White participants), 166 (61%) contracted SARS-CoV-2. Of these, 137 infections (83%) occurred during the Omicron-predominant period and 29 infections (17%) occurred during the Delta-predominant period. Asymptomatic infections occurred among 7% (95% CI, 3%-12%) of Omicron-wave infections and 0% (95% CI, 0%-12%) of Delta-wave infections. Health care use among individuals with Omicron-wave infections was 79% (95% CI, 43%-92%) lower relative to individuals with Delta-wave infections (P = .001). Compared with individuals infected during the Delta wave, individuals infected during the Omicron wave also experienced a 56% (95% CI, 26%-74%, P = .004) relative reduction in the risk of postacute symptoms and a 79% (95% CI, 54%-91%, P < .001) relative reduction in the rate of postacute symptoms. Conclusions and Relevance These findings suggest that among adults who were previously immunologically naive, few Omicron-wave (BA.1/BA.2) and Delta-wave infections were asymptomatic. Compared with individuals with Delta-wave infections, individuals with Omicron-wave infections were less likely to seek health care and experience postacute symptoms.
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Affiliation(s)
- Margaret K. Doll
- Department of Population Health Sciences, Albany College of Pharmacy & Health Sciences, Albany, New York
| | - Alpana Waghmare
- Division of Infectious Diseases, Department of Pediatrics, University of Washington, Seattle
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | | | - Brianna Levenson Shakoor
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California
| | - Louise E. Kimball
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Nina Ozbek
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Rachel L. Blazevic
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Larry Mose
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | | | - Terry L. Stevens-Ayers
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | | | | | | | - Faria Sharmin
- Department of Population Health Sciences, Albany College of Pharmacy & Health Sciences, Albany, New York
| | - Benjamin Goodwin
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California
| | - Jennifer M. Dan
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla
| | - Tom Archie
- St Luke’s Medical Center, Ketchum, Idaho
| | - Terry O’Connor
- St Luke’s Medical Center, Ketchum, Idaho
- Department of Emergency Medicine, University of Washington, Seattle
| | | | | | - Michael Boeckh
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle
| | - Shane Crotty
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla
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6
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Zhong W, Yang X, Jiang X, Duan Z, Wang W, Sun Z, Chen W, Zhang W, Xu J, Cheng J, Yuan X, Li Y. Factors associated with prolonged viral shedding in older patients infected with Omicron BA.2.2. Front Public Health 2023; 10:1087800. [PMID: 36711364 PMCID: PMC9878338 DOI: 10.3389/fpubh.2022.1087800] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/20/2022] [Indexed: 01/15/2023] Open
Abstract
Background This study explores the risk factors associated with viral shedding time in elderly Chinese patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) omicron. Methods Participants infected with SARS-CoV-2 omicron were enrolled in a retrospective study, and divided into two groups according to shedding time (≥10 days, "late clearance group" and <10 days, "early clearance group"). Results A total of 180 patients were enrolled in the study (88 early, 92 late), with a median viral shedding time of 10 days and a mean age of 77.02 years. Prolonged SARS-CoV-2 omicron shedding was associated with old age (p = 0.007), lack of vaccination (p = 0.001), delayed admission to hospital after onset of diagnosis (p = 0.001), D-dimer (p = 0.003), and methylprednisolone treatment (p = 0.048). In multivariate analysis, vaccination (OR, 0.319, 95% CI, 0.130-0.786, p = 0.013), Paxlovid (OR, 0.259, 95% CI, 0.104-0.643, p = 0.004), and time from onset of diagnosis to admission (OR, 1.802, 95% CI, 1.391-2.355, p = 0.000) were significantly associated with viral clearance. Conclusions Time from onset of diagnosis to hospitalization, lack of treatment with Paxlovid, and lack of vaccination were independent risk factors in elderly Chinese patients infected with SARS-CoV-2 omicron for prolonged viral shedding.
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Affiliation(s)
- Weijie Zhong
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaosheng Yang
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiufeng Jiang
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhixin Duan
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Wang
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhaoliang Sun
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wanghao Chen
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenchuan Zhang
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Xu
- Department of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Cheng
- Department of Ultrasound, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Juan Cheng ✉
| | - Xiaoling Yuan
- Department of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Xiaoling Yuan ✉
| | - Yi Li
- Department of Neurosurgery, Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Yi Li ✉
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7
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Rissmann M, Noack D, van Riel D, Schmitz KS, de Vries RD, van Run P, Lamers MM, Geurts van Kessel CH, Koopmans MPG, Fouchier RAM, Kuiken T, Haagmans BL, Rockx B. Pulmonary lesions following inoculation with the SARS-CoV-2 Omicron BA.1 (B.1.1.529) variant in Syrian golden hamsters. Emerg Microbes Infect 2022; 11:1778-1786. [PMID: 35787236 PMCID: PMC9295819 DOI: 10.1080/22221751.2022.2095932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/26/2022] [Indexed: 02/05/2023]
Abstract
The Omicron BA.1 (B.1.1.529) SARS-CoV-2 variant is characterized by a high number of mutations in the viral genome, associated with immune escape and increased viral spread. It remains unclear whether milder COVID-19 disease progression observed after infection with Omicron BA.1 in humans is due to reduced pathogenicity of the virus or due to pre-existing immunity from vaccination or previous infection. Here, we inoculated hamsters with Omicron BA.1 to evaluate pathogenicity and kinetics of viral shedding, compared to Delta (B.1.617.2) and to animals re-challenged with Omicron BA.1 after previous SARS-CoV-2 614G infection. Omicron BA.1 infected animals showed reduced clinical signs, pathological changes, and viral shedding, compared to Delta-infected animals, but still showed gross- and histopathological evidence of pneumonia. Pre-existing immunity reduced viral shedding and protected against pneumonia. Our data indicate that the observed decrease of disease severity is in part due to intrinsic properties of the Omicron BA.1 variant.
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Affiliation(s)
- Melanie Rissmann
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Danny Noack
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Debby van Riel
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Rory D. de Vries
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Peter van Run
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Mart M. Lamers
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | | | | | - Ron A. M. Fouchier
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Thijs Kuiken
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Bart L. Haagmans
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Barry Rockx
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
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8
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Doll MK, Waghmare A, Heit A, Levenson Shakoor B, Kimball LE, Ozbek N, Blazevic RL, Mose L, Boonyaratanakornkit J, Stevens-Ayers TL, Cornell K, Sheppard BD, Hampson E, Sharmin F, Goodwin B, Dan JM, Archie T, O'Connor T, Heckerman D, Schmitz F, Boeckh M, Crotty S. Acute and Post-Acute COVID-19 Outcomes Among Immunologically Naïve Adults During Delta Versus Omicron Waves. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.11.13.22282222. [PMID: 36425923 PMCID: PMC9685683 DOI: 10.1101/2022.11.13.22282222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Importance The U.S. arrival of the Omicron variant led to a rapid increase in SARS-CoV-2 infections. While numerous studies report characteristics of Omicron infections among vaccinated individuals and/or persons with a prior history of infection, comprehensive data describing infections among immunologically naïve adults is lacking. Objective To examine COVID-19 acute and post-acute clinical outcomes among a well-characterized cohort of unvaccinated and previously uninfected adults who contracted SARS-CoV-2 during the Omicron (BA.1/BA.2) surge, and to compare outcomes with infections that occurred during the Delta wave. Design A prospective cohort undergoing high-resolution symptom and virologic monitoring between June 2021 and September 2022. Setting Multisite recruitment of community-dwelling adults in 8 U.S. states. Participants Healthy, unvaccinated adults between 30 to 64 years of age without an immunological history of SARS-CoV-2 who were at high-risk of infection were recruited. Participants were followed for up to 48 weeks, submitting regular COVID-19 symptom surveys and nasal swabs for SARS-CoV-2 PCR testing. Exposures Omicron (BA.1/BA.2 lineages) versus Delta SARS-CoV-2 infection, defined as a positive PCR that occurred during a period when the variant represented ≥50% of circulating SARS-CoV-2 variants in the participant's geographic region. Main Outcomes and Measures The main outcomes examined were the prevalence and severity of acute (≤28 days post-onset) and post-acute (≥5 weeks post-onset) symptoms. Results Among 274 immunologically naïve participants, 166 (61%) contracted SARS-CoV-2. Of these, 137 (83%) and 29 (17%) infections occurred during the Omicron- and Delta-predominant periods, respectively. Asymptomatic infections occurred among 6.7% (95% CI: 3.1%, 12.3%) of Omicron cases and 0.0% (95% CI: 0.0%, 11.9%) of Delta cases. Healthcare utilization among Omicron cases was 79% (95% CI: 43%, 92%, P =0.001) lower relative to Delta cases. Relative to Delta, Omicron infections also experienced a 56% (95% CI: 26%, 74%, P =0.004) and 79% (95% CI: 54%, 91%, P <0.001) reduction in the risk and rate of post-acute symptoms, respectively. Conclusions and Relevance These findings suggest that among previously immunologically naïve adults, few Omicron (BA.1/BA.2) and Delta infections are asymptomatic, and relative to Delta, Omicron infections were less likely to seek healthcare and experience post-acute symptoms.
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Affiliation(s)
- Margaret K Doll
- Department of Population Health Sciences, Albany College of Pharmacy & Health Sciences, Albany, NY, USA
| | - Alpana Waghmare
- Division of Infectious Diseases, Department of Pediatrics, University of Washington, Seattle, WA, USA.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Brianna Levenson Shakoor
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA
| | - Louise E Kimball
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Nina Ozbek
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Rachel L Blazevic
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Larry Mose
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Terry L Stevens-Ayers
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | | | | | - Faria Sharmin
- Department of Population Health Sciences, Albany College of Pharmacy & Health Sciences, Albany, NY, USA
| | - Benjamin Goodwin
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA
| | - Jennifer M Dan
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.,Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Tom Archie
- St. Luke's Medical Center, Ketchum, ID, USA
| | - Terry O'Connor
- St. Luke's Medical Center, Ketchum, ID, USA.,Department of Emergency Medicine, University of Washington, Seattle, WA, USA
| | | | | | - Michael Boeckh
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.,Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Shane Crotty
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.,Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, California, USA
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9
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Jamal Z, Haider M, Ikram A, Salman M, Rana MS, Rehman Z, Haider SA, Ammar M, Nisar N, Umair M. Breakthrough cases of Omicron and Delta variants of SARS-CoV-2 during the fifth wave in Pakistan. Front Public Health 2022; 10:987452. [PMID: 36249252 PMCID: PMC9557048 DOI: 10.3389/fpubh.2022.987452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/02/2022] [Indexed: 01/26/2023] Open
Abstract
COVID-19 pandemic has severely affected Pakistan with 1,557,134 cases as of August 4, 2022. However, the data regarding breakthrough infections in Pakistan is scant. Hence, the objective was to analyze SARS-CoV-2 breakthrough infections with respect to vaccines and variants during the fifth wave in Pakistan. Therefore, the Department of Virology (NIH, Pakistan) genotyped 2,467 randomly selected individuals between November 2021 and February 2022 using the SNPsig® SARS-CoV-2 (EscapePLEX) kit (PrimerDesign, UK). P681R and K417N mutations were used to distinguish delta and omicron. Data on the patient's age, gender, date of collection, variant, and vaccination status were analyzed using Statistical Package for Social Sciences (SPSS) software. Among 2,467 genotyped samples, Omicron was detected in 58.6% (n = 1445), Delta in 40.4% (n = 998) and undetermined/wildtype variant in 24 samples. The vaccination status of omicron-positive patients showed (49.7%; n = 718/1445) and Delta-positive patients (39.67%; n = 396/998) to be fully vaccinated. Of note, a high percentage 85% of breakthrough cases (n = 947) were identified among fully vaccinated individuals (n = 1114). Among them, 85.9% (n = 617/718) belonged to omicron and 83.3% (n = 330/396) to delta. Moreover, 76.7% (n = 855) of vaccinated individuals (n = 1114) received Sinopharm (n = 432) and Sinovac (n = 423) vaccines. The majority of breakthrough subjects who contracted Omicron were vaccinated with Sinopharm (93.0%, n = 256) and delta with Cansino (100%, n = 44). Individuals vaccinated with Sinovac showed the most frequent breakthrough cases for both Omicron and Delta variant between the 4th and 6th months (n = 278) after primary vaccination as compared to the 7th to 9th months (n = 24) category. While in case of Sinopharm, maximum breakthrough cases occurred between 7th to 9th months (n = 234) as compared to the 4th to 6th months (n = 120) after primary vaccination. Omicron and Delta breakthrough cases in men (n = 364 and 193) are more frequently seen than women (n = 253 and 138) respectively and breakthrough majority cases (n = 392) occurred in individuals aged 18-33 years. Breakthrough cases limiting monitoring in Pakistan impose a substantial constraint on policymakers' ability to take timely effective decisions. Since the current study consists of only a 2,467-genotyped sample, comprehensive data should be analyzed.
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Kneidinger N, Hecker M, Bessa V, Hettich I, Wald A, Wege S, Nolde AB, Oldigs M, Syunyaeva Z, Wilkens H, Gottlieb J. Outcome of lung transplant recipients infected with SARS-CoV-2/Omicron/B.1.1.529: a Nationwide German study. Infection 2022; 51:749-757. [PMID: 36083405 PMCID: PMC9461411 DOI: 10.1007/s15010-022-01914-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/25/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is currently the major threat for immunocompromised individuals. The course of COVID-19 in lung transplant recipients in the Omicron era remains unknown. The aim of the study was to assess outcome and associated factors in lung transplant recipients in a German-wide multicenter approach. METHODS All affected individuals from January 1st to March 20th, 2022 from 8 German centers during the Omicron wave were collected. Baseline characteristics and antiviral measures were associated with outcome. RESULTS Of 218 patients with PCR-proven SARS-CoV-2 infection 166 patients (76%) received any early (< 7 days) antiviral therapy median 2 (interquartile range 1-4) days after symptom onset. Most patients received sotrovimab (57%), followed by remdesivir (21%) and molnupiravir (21%). An early combination therapy was applied in 45 patients (21%). Thirty-four patients (16%) developed a severe or critical disease severity according to the WHO scale. In total, 14 patients (6.4%) died subsequently associated with COVID-19. Neither vaccination and antibody status, nor applied treatments were associated with outcome. Only age and glomerular filtration rate < 30 ml/min/1.73m2 were independent risk factors for a severe or critical COVID-19. CONCLUSION COVID-19 due to Omicron remains an important threat for lung transplant recipients. In particular, elderly patients and patients with impaired kidney function are at risk for worse outcome. Prophylaxis and therapy in highly immunocompromised individuals need further improvement.
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Affiliation(s)
- Nikolaus Kneidinger
- Department of Medicine V, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
| | - Matthias Hecker
- Department of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Justus-Liebig University, Giessen, Germany
| | - Vasiliki Bessa
- Department of Pulmonary Medicine, West German Center for Lung Transplantation, University of Duisburg-Essen, Essen, Germany
| | - Ina Hettich
- Department of Pneumology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Alexandra Wald
- Department of Respiratory Medicine, University of Leipzig, Leipzig, Germany
| | - Sabine Wege
- Department of Pneumology and Critical Care Medicine, Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), Thoraxklinik at the University of Heidelberg, Heidelberg, Germany
| | - Anna-Barbara Nolde
- Department of Respiratory Medicine, Eppendorf University Hospital, Hamburg, Germany
| | - Maike Oldigs
- Department of Pulmonology, Airway Research Center North, Member of the German Center for Lung Research (DZL), LungenClinic Grosshansdorf, Großhansdorf, Germany
| | - Zulfiya Syunyaeva
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine and Cystic Fibrosis Center, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Heinrike Wilkens
- Department of Internal Medicine V, Pulmonology, Allergology, Respiratory Intensive Care Medicine, Saarland University, Homburg Saar, Germany
| | - Jens Gottlieb
- Department of Respiratory Medicine, Hannover Medical School, German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
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Federico M. How Do Anti-SARS-CoV-2 mRNA Vaccines Protect from Severe Disease? Int J Mol Sci 2022; 23:10374. [PMID: 36142284 PMCID: PMC9499329 DOI: 10.3390/ijms231810374] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 08/29/2022] [Accepted: 09/06/2022] [Indexed: 11/26/2022] Open
Abstract
COVID-19 pathogenesis develops in two phases. First, Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)-2 spreads within the epithelial cells of the mucosa of upper and, possibly, lower respiratory tracts. While the virus dissemination can be controlled by an emerging adaptive host immune response, if the virus diffuses to the pulmonary alveoli, a potentially lethal mechanism can arise in the second phase. It consists of an uncontrolled burst of cytokines/inflammatory factors (i.e., cytokine storm), leading to the insurgence of respiratory symptoms and, consequently, multi-organ failures. Messenger (m)RNA-based vaccines represent the most innovative approach in terms of prophylaxis against SARS-CoV-2-induced disease. The cumulating data indicate that the response to mRNA vaccines is basically ineffective to counteract the viral replication in the upper respiratory tracts, while showing efficacy in containing the development of severe disease. Considering that the antiviral immunity elicited by intramuscularly delivered mRNA vaccines is expected to show similar quantitative and qualitative features in upper and lower respiratory tracts, the different outcomes appear surprising and deserve accurate consideration. In this review, a still unexplored mechanism accounting for the mRNA vaccine effect against severe disease is proposed. Based on well-established experimental evidence, a possible inhibitory effect on alveolar macrophages as a consequence of the diffusion of the extracellular and/or cell-associated Spike protein can be envisioned as a key event counteracting the cytokine storm. This benefit, however, may be associated with defects in the immune functions of macrophages in other tissues whose possible consequences deserve careful evaluation.
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Affiliation(s)
- Maurizio Federico
- National Center for Global Health, Istituto Superiore di Sanità, Viale Regina Elena, 299, 00161 Rome, Italy
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Yu W, Guo Y, Zhang S, Kong Y, Shen Z, Zhang J. Proportion of asymptomatic infection and nonsevere disease caused by SARS-CoV-2 Omicron variant: A systematic review and analysis. J Med Virol 2022; 94:5790-5801. [PMID: 35961786 PMCID: PMC9538850 DOI: 10.1002/jmv.28066] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 07/21/2022] [Accepted: 08/09/2022] [Indexed: 01/06/2023]
Abstract
SARS-CoV-2 Omicron variant seemed to cause milder disease compared to previous predominated variants. We aimed to conduct a meta-analysis to assess the pooled proportion of nonsevere disease and asymptomatic infection among COVID-19 patients infected with Omicron and Delta. We searched PubMed, Embase, Web of Science, and China National Knowledge Infrastructure (CNKI) databases. We included studies of SARS-CoV-2 Omicron infection from November 1, 2021, to April 18, 2022, and studies of Delta infection from October 1, 2020, to June 30, 2022. Studies without corresponding data, with less than 50 patients, or obviously biased concerning main outcome were excluded. Meta-analysis was performed in R 4.2.0 with the "meta" package. Subgroup analyses were conducted by study group and vaccination status. The pooled proportion of asymptomatic infection and nonsevere disease with Omicron were 25.5% (95% confidence interval [CI] 17.0%-38.2%) and 97.9% (95% CI 97.1%-98.7%), significantly higher than those of Delta with 8.4% (95% CI 4.4%-16.2%) and 91.4% (95% CI 87.0%-96.0%). During Omicron wave, children and adolescents had higher proportion of asymptomatic infection, SOTR and the elderly had lower proportion of nonsevere disease, vaccination of a booster dose contributed to higher proportion of both asymptomatic infection and nonsevere disease. This study estimates the pooled proportion of asymptomatic infection and nonsevere disease caused by SARS-CoV-2 Omicron compared to other predominant variants. The result has important implications for future policy making.
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Affiliation(s)
- Weien Yu
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Shanghai Institute of Infectious Diseases and Biosecurity, National Medical Center for Infectious Diseases, Huashan HospitalFudan UniversityShanghaiChina
| | - Yifei Guo
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Shanghai Institute of Infectious Diseases and Biosecurity, National Medical Center for Infectious Diseases, Huashan HospitalFudan UniversityShanghaiChina
| | - Shenyan Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Shanghai Institute of Infectious Diseases and Biosecurity, National Medical Center for Infectious Diseases, Huashan HospitalFudan UniversityShanghaiChina
| | - Yide Kong
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Shanghai Institute of Infectious Diseases and Biosecurity, National Medical Center for Infectious Diseases, Huashan HospitalFudan UniversityShanghaiChina
| | - Zhongliang Shen
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Shanghai Institute of Infectious Diseases and Biosecurity, National Medical Center for Infectious Diseases, Huashan HospitalFudan UniversityShanghaiChina,Key Laboratory of Medical Molecular Virology (MOE/MOH), Shanghai Medical CollegeFudan UniversityShanghaiChina,Department of Infectious Diseases, Jing' An Branch of Huashan HospitalFudan UniversityShanghaiChina
| | - Jiming Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Shanghai Institute of Infectious Diseases and Biosecurity, National Medical Center for Infectious Diseases, Huashan HospitalFudan UniversityShanghaiChina,Key Laboratory of Medical Molecular Virology (MOE/MOH), Shanghai Medical CollegeFudan UniversityShanghaiChina,Department of Infectious Diseases, Jing' An Branch of Huashan HospitalFudan UniversityShanghaiChina
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Quinton M, Geahr M, Gluck L, Jarrett J, Mostafa HH. Evaluation of the respiratory NeuMoDx™ Flu A-B/RSV/SARS-CoV-2 Vantage and Alinity m Resp-4-Plex assays. J Clin Virol 2022; 150-151:105164. [PMID: 35468544 PMCID: PMC9014635 DOI: 10.1016/j.jcv.2022.105164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 04/14/2022] [Accepted: 04/17/2022] [Indexed: 11/02/2022]
Abstract
Background Methods Results Conclusion
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Uršič T, Kogoj R, Šikonja J, Roškarič D, Virant MJ, Bogovič P, Petrovec M. Performance of nasopharyngeal swab and saliva in detecting Delta and Omicron SARS-CoV-2 variants. J Med Virol 2022; 94:4704-4711. [PMID: 35642439 PMCID: PMC9348014 DOI: 10.1002/jmv.27898] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 11/29/2022]
Abstract
A prospective cohort study was conducted during the Delta and Omicron severe acute respiratory syndrome coronavirus type 2 (SARS‐CoV‐2) epidemic waves from paired nasopharyngeal swab (NPS or NP swab) and saliva samples taken from 624 participants. The study aimed to assess if any differences among participants from both waves could be observed and if any difference in molecular diagnostic performance could be observed among the two sample types. Samples were transported immediately to the laboratory to ensure the highest possible sample quality without any freezing and thawing steps before processing. Nucleic acids from saliva and NPS were prospectively extracted and SARS‐CoV‐2 was detected using a real‐time reverse‐transcription polymerase chain reaction. All observed results were statistically analyzed. Although the results obtained with NP and saliva agreed overall, higher viral loads were observed in NP swabs regardless of the day of specimen collection in both SARS‐CoV‐2 epidemic waves. No significant difference could be observed between the two epidemic waves characterized by Delta or Omicron SARS‐CoV‐2. To note, Delta infection resulted in higher viral loads both in NP and saliva and more symptoms, including rhinorrhea, cough, and dyspnea, whereas Omicron wave patients more frequently reported sore throat. An increase in the mean log RNA of SARS‐CoV‐2 was observed with the number of expressed symptoms in both waves, however, the difference was not significant. Data confirmed that results from saliva were concordant with those from NP swabs, although saliva proved to be a challenging sample with frequent inhibitions that required substantial retesting.
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Affiliation(s)
- Tina Uršič
- University of Ljubljana, Faculty of Medicine University, Institute of Microbiology and Immunology, Ljubljana, Slovenia
| | - Rok Kogoj
- University of Ljubljana, Faculty of Medicine University, Institute of Microbiology and Immunology, Ljubljana, Slovenia
| | - Jaka Šikonja
- University of Ljubljana, Faculty of Medicine University, Institute of Microbiology and Immunology, Ljubljana, Slovenia
| | - Damijana Roškarič
- University of Ljubljana, Faculty of Medicine University, Institute of Microbiology and Immunology, Ljubljana, Slovenia
| | - Monika Jevšnik Virant
- University of Ljubljana, Faculty of Medicine University, Institute of Microbiology and Immunology, Ljubljana, Slovenia
| | - Petra Bogovič
- University Clinical Centre Ljubljana, Department of Infectious Diseases, Slovenia
| | - Miroslav Petrovec
- University of Ljubljana, Faculty of Medicine University, Institute of Microbiology and Immunology, Ljubljana, Slovenia
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Li M, Beck EJ, Laeyendecker O, Eby Y, Tobian AA, Caturegli P, Wouters C, Chiklis GR, Block W, McKie R, Joyner M, Wiltshire TD, Dietz AB, Gniadek TJ, Shapiro A, Yarava A, Lane K, Hanley D, Bloch EM, Shoham S, Cachay ER, Meisenberg BR, Huaman MA, Fukuta Y, Patel B, Heath SL, Levine AC, Paxton JH, Anjan S, Gerber JM, Gebo KA, Casadevall A, Pekosz A, Sullivan DJ. High Viral Specific Antibody Convalescent Plasma Effectively Neutralizes SARS-CoV-2 Variants of Concern. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.03.01.22271662. [PMID: 35262085 PMCID: PMC8902868 DOI: 10.1101/2022.03.01.22271662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The ongoing evolution of SARS-Co-V2 variants to omicron severely limits available effective monoclonal antibody therapies. Effective drugs are also supply limited. Covid-19 convalescent plasma (CCP) qualified for high antibody levels effectively reduces immunocompetent outpatient hospitalization. The FDA currently allows outpatient CCP for the immunosuppressed. Viral specific antibody levels in CCP can range ten-to hundred-fold between donors unlike the uniform viral specific monoclonal antibody dosing. Limited data are available on the efficacy of polyclonal CCP to neutralize variants. We examined 108 pre-delta/pre-omicron donor units obtained before March 2021, 20 post-delta COVID-19/post-vaccination units and one pre-delta/pre-omicron hyperimmunoglobulin preparation for variant specific virus (vaccine-related isolate (WA-1), delta and omicron) neutralization correlated to Euroimmun S1 IgG antibody levels. We observed a 2-to 4-fold and 20-to 40-fold drop in virus neutralization from SARS-CoV-2 WA-1 to delta or omicron, respectively. CCP antibody levels in the upper 10% of the 108 donations as well as 100% of the post-delta COVID-19/post-vaccination units and the hyperimmunoglobulin effectively neutralized all three variants. High-titer CCP neutralizes SARS-CoV-2 variants despite no previous donor exposure to the variants. Key points All of the post-delta COVID-19/post vaccination convalescent plasma effectively neutralizes the omicron and delta variants.High-titer CCP and hyperimmunoglobulin neutralizes SARS-CoV-2 variants despite no previous donor exposure to the variants.
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Affiliation(s)
- Maggie Li
- Johns Hopkins Bloomberg School of Public Health, Department of Molecular Microbiology and Immunology, Baltimore, MD
| | - Evan J Beck
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, NIH
| | - Oliver Laeyendecker
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, NIH
| | - Yolanda Eby
- Johns Hopkins University School of Medicine, Department of Pathology, Baltimore, MD
| | - Aaron Ar Tobian
- Johns Hopkins University School of Medicine, Department of Pathology, Baltimore, MD
| | - Patrizio Caturegli
- Johns Hopkins University School of Medicine, Department of Pathology, Baltimore, MD
| | - Camille Wouters
- Johns Hopkins Bloomberg School of Public Health, Department of Molecular Microbiology and Immunology, Baltimore, MD
| | | | | | - Robert McKie
- Innovative Transfusion Medicine, Coral Springs, FL
| | - Michael Joyner
- Departments of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Timothy D Wiltshire
- Department of Laboratory Medicine and Pathology, Division of Transfusion Medicine, Mayo Clinic, Rochester, MN
| | - Allan B Dietz
- Department of Laboratory Medicine and Pathology, Division of Transfusion Medicine, Mayo Clinic, Rochester, MN
| | - Thomas J Gniadek
- Department of Pathology, Northshore University Health System, Evanston, IL
| | | | - Anusha Yarava
- Johns Hopkins University School of Medicine Department of Neurology, Brain Injury Outcomes Division, Baltimore, MD
| | - Karen Lane
- Johns Hopkins University School of Medicine Department of Neurology, Brain Injury Outcomes Division, Baltimore, MD
| | - Daniel Hanley
- Johns Hopkins University School of Medicine Department of Neurology, Brain Injury Outcomes Division, Baltimore, MD
| | - Evan M Bloch
- Johns Hopkins University School of Medicine, Department of Pathology, Baltimore, MD
| | - Shmuel Shoham
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, MD
| | - Edward R Cachay
- Department of Medicine, Division of Infectious Diseases, University of California, San Diego, San Diego, CA
| | | | - Moises A Huaman
- Department of Medicine, Division of Infectious Diseases, University of Cincinnati, Cincinnati, OH
| | - Yuriko Fukuta
- Department of Medicine, Section of Infectious Diseases, Baylor College of Medicine, Houston, TX
| | - Bela Patel
- Department of Medicine, Divisions of Pulmonary and Critical Care Medicine, University of Texas Health Science Center, Houston, TX
| | - Sonya L Heath
- Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL
| | - Adam C Levine
- Department of Emergency Medicine, Rhode Island Hospital/Brown University, Providence, RI
| | - James H Paxton
- Department of Emergency Medicine, Wayne State University, Detroit, MI
| | - Shweta Anjan
- Department of Medicine, Division of Infectious Diseases, University of Miami, Miller School of Medicine, Miami, FL
| | - Jonathan M Gerber
- Department of Medicine, Division of Hematology and Oncology, University of Massachusetts Chan Medical School, Worcester, MA
| | - Kelly A Gebo
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, MD
| | - Arturo Casadevall
- Johns Hopkins Bloomberg School of Public Health, Department of Molecular Microbiology and Immunology, Baltimore, MD
| | - Andrew Pekosz
- Johns Hopkins Bloomberg School of Public Health, Department of Molecular Microbiology and Immunology, Baltimore, MD
| | - David J Sullivan
- Johns Hopkins Bloomberg School of Public Health, Department of Molecular Microbiology and Immunology, Baltimore, MD
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