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Gram MA, Emborg HD, Schelde AB, Friis NU, Nielsen KF, Moustsen-Helms IR, Legarth R, Lam JUH, Chaine M, Malik AZ, Rasmussen M, Fonager J, Sieber RN, Stegger M, Ethelberg S, Valentiner-Branth P, Hansen CH. Vaccine effectiveness against SARS-CoV-2 infection or COVID-19 hospitalization with the Alpha, Delta, or Omicron SARS-CoV-2 variant: A nationwide Danish cohort study. PLoS Med 2022; 19:e1003992. [PMID: 36048766 PMCID: PMC9436060 DOI: 10.1371/journal.pmed.1003992] [Citation(s) in RCA: 59] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/26/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The continued occurrence of more contagious Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants and waning immunity over time require ongoing reevaluation of the vaccine effectiveness (VE). This study aimed to estimate the effectiveness in 2 age groups (12 to 59 and 60 years or above) of 2 or 3 vaccine doses (BNT162b2 mRNA or mRNA-1273) by time since vaccination against SARS-CoV-2 infection and Coronavirus Disease 2019 (COVID-19) hospitalization in an Alpha-, Delta-, or Omicron-dominated period. METHODS AND FINDINGS A Danish nationwide cohort study design was used to estimate VE against SARS-CoV-2 infection and COVID-19 hospitalization with the Alpha, Delta, or Omicron variant. Information was obtained from nationwide registries and linked using a unique personal identification number. The study included all previously uninfected residents in Denmark aged 12 years or above (18 years or above for the analysis of 3 doses) in the Alpha (February 20 to June 15, 2021), Delta (July 4 to November 20, 2021), and Omicron (December 21, 2021 to January 31, 2022) dominated periods. VE estimates including 95% confidence intervals (CIs) were calculated (1-hazard ratio∙100) using Cox proportional hazard regression models with underlying calendar time and adjustments for age, sex, comorbidity, and geographical region. Vaccination status was included as a time-varying exposure. In the oldest age group, VE against infection after 2 doses was 90.7% (95% CI: 88.2; 92.7) for the Alpha variant, 82.3% (95% CI: 75.5; 87.2) for the Delta variant, and 39.9% (95% CI: 26.3; 50.9) for the Omicron variant 14 to 30 days since vaccination. The VE waned over time and was 73.2% (Alpha, 95% CI: 57.1; 83.3), 50.0% (Delta, 95% CI: 46.7; 53.0), and 4.4% (Omicron, 95% CI: -0.1; 8.7) >120 days since vaccination. Higher estimates were observed after the third dose with VE estimates against infection of 86.1% (Delta, 95% CI: 83.3; 88.4) and 57.7% (Omicron, 95% CI: 55.9; 59.5) 14 to 30 days since vaccination. Among both age groups, VE against COVID-19 hospitalization 14 to 30 days since vaccination with 2 or 3 doses was 98.1% or above for the Alpha and Delta variants. Among both age groups, VE against COVID-19 hospitalization 14 to 30 days since vaccination with 2 or 3 doses was 95.5% or above for the Omicron variant. The main limitation of this study is the nonrandomized study design including potential differences between the unvaccinated (reference group) and vaccinated individuals. CONCLUSIONS Two vaccine doses provided high protection against SARS-CoV-2 infection and COVID-19 hospitalization with the Alpha and Delta variants with protection, notably against infection, waning over time. Two vaccine doses provided only limited and short-lived protection against SARS-CoV-2 infection with Omicron. However, the protection against COVID-19 hospitalization following Omicron SARS-CoV-2 infection was higher. The third vaccine dose substantially increased the level and duration of protection against infection with the Omicron variant and provided a high level of sustained protection against COVID-19 hospitalization among the +60-year-olds.
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Affiliation(s)
- Mie Agermose Gram
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- * E-mail:
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Astrid Blicher Schelde
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Nikolaj Ulrik Friis
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Katrine Finderup Nielsen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Ida Rask Moustsen-Helms
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Rebecca Legarth
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Janni Uyen Hoa Lam
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Manon Chaine
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Aisha Zahoor Malik
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Morten Rasmussen
- Department of Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Jannik Fonager
- Department of Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Raphael Niklaus Sieber
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Marc Stegger
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Steen Ethelberg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
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2
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Fonager J, Bennedbæk M, Bager P, Wohlfahrt J, Ellegaard KM, Ingham AC, Edslev SM, Stegger M, Sieber RN, Lassauniere R, Fomsgaard A, Lillebaek T, Svarrer CW, Møller FT, Møller CH, Legarth R, Sydenham TV, Steinke K, Paulsen SJ, Castruita JAS, Schneider UV, Schouw CH, Nielsen XC, Overvad M, Nielsen RT, Marvig RL, Pedersen MS, Nielsen L, Nilsson LL, Bybjerg-Grauholm J, Tarpgaard IH, Ebsen TS, Lam JUH, Gunalan V, Rasmussen M. Molecular epidemiology of the SARS-CoV-2 variant Omicron BA.2 sub-lineage in Denmark, 29 November 2021 to 2 January 2022. Euro Surveill 2022; 27. [PMID: 35272746 PMCID: PMC8915403 DOI: 10.2807/1560-7917.es.2022.27.10.2200181] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Following emergence of the SARS-CoV-2 variant Omicron in November 2021, the dominant BA.1 sub-lineage was replaced by the BA.2 sub-lineage in Denmark. We analysed the first 2,623 BA.2 cases from 29 November 2021 to 2 January 2022. No epidemiological or clinical differences were found between individuals infected with BA.1 versus BA.2. Phylogenetic analyses showed a geographic east-to-west transmission of BA.2 from the Capital Region with clusters expanding after the Christmas holidays. Mutational analysis shows distinct differences between BA.1 and BA.2.
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Affiliation(s)
- Jannik Fonager
- Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Marc Bennedbæk
- Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Peter Bager
- Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Jan Wohlfahrt
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | | | - Anna Cäcilia Ingham
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Sofie Marie Edslev
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Marc Stegger
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Raphael Niklaus Sieber
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Ria Lassauniere
- Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Anders Fomsgaard
- Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Troels Lillebaek
- International Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.,Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | - Christina Wiid Svarrer
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Frederik Trier Møller
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | | | - Rebecca Legarth
- Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | | | - Kat Steinke
- Department of Clinical Microbiology, Odense University Hospital, Denmark
| | - Sarah Juel Paulsen
- Department of Clinical Microbiology, Copenhagen University Hospital Amager-Hvidovre, Hvidovre, Denmark
| | | | - Uffe Vest Schneider
- Department of Clinical Microbiology, Copenhagen University Hospital Amager-Hvidovre, Hvidovre, Denmark
| | | | | | - Maria Overvad
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Rikke Thoft Nielsen
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Rasmus L Marvig
- Center for Genomic Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Martin Schou Pedersen
- Department of Clinical Microbiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Lene Nielsen
- Department of Clinical Microbiology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Line Lynge Nilsson
- Department of Clinical Microbiology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | | | | | | | - Janni Uyen Hoa Lam
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Vithiagaran Gunalan
- Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Morten Rasmussen
- Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
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3
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Espenhain L, Funk T, Overvad M, Edslev SM, Fonager J, Ingham AC, Rasmussen M, Madsen SL, Espersen CH, Sieber RN, Stegger M, Gunalan V, Wilkowski B, Larsen NB, Legarth R, Cohen AS, Nielsen F, Lam JUH, Lavik KE, Karakis M, Spiess K, Marving E, Nielsen C, Wiid Svarrer C, Bybjerg-Grauholm J, Olsen SS, Jensen A, Krause TG, Müller L. Epidemiological characterisation of the first 785 SARS-CoV-2 Omicron variant cases in Denmark, December 2021. Euro Surveill 2021; 26. [PMID: 34915977 PMCID: PMC8728489 DOI: 10.2807/1560-7917.es.2021.26.50.2101146] [Citation(s) in RCA: 127] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
By 9 December 2021, 785 SARS-CoV-2 Omicron variant cases have been identified in Denmark. Most cases were fully (76%) or booster-vaccinated (7.1%); 34 (4.3%) had a previous SARS-CoV-2 infection. The majority of cases with available information reported symptoms (509/666; 76%) and most were infected in Denmark (588/644; 91%). One in five cases cannot be linked to previous cases, indicating widespread community transmission. Nine cases have been hospitalised, one required intensive care and no deaths have been registered.
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Affiliation(s)
- Laura Espenhain
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Tjede Funk
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.,European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden
| | - Maria Overvad
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Sofie Marie Edslev
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Jannik Fonager
- Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Anna Cäcilia Ingham
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Morten Rasmussen
- Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Sarah Leth Madsen
- COVID-19 tracing Unit, Danish Patient Safety Authority, Copenhagen, Denmark
| | | | - Raphael N Sieber
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Marc Stegger
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Vithiagaran Gunalan
- Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Bartlomiej Wilkowski
- TestCenter Denmark, Statens Serum Institut, Copenhagen, Denmark.,Danish National Biobank, Statens Serum Institut, Copenhagen, Denmark
| | | | - Rebecca Legarth
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | | | - Finn Nielsen
- The Data integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark
| | - Janni Uyen Hoa Lam
- The Data integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark
| | - Kjetil Erdogan Lavik
- The Data integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark
| | - Marianne Karakis
- The Data integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark
| | - Katja Spiess
- Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Ellinor Marving
- Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Christian Nielsen
- TestCenter Denmark, Statens Serum Institut, Copenhagen, Denmark.,Danish National Biobank, Statens Serum Institut, Copenhagen, Denmark
| | - Christina Wiid Svarrer
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | | | - Stefan Schytte Olsen
- The Data integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark
| | - Anders Jensen
- TestCenter Denmark, Statens Serum Institut, Copenhagen, Denmark.,Danish National Biobank, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Luise Müller
- Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
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4
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Schønning K, Dessau RB, Jensen TG, Thorsen NM, Wiuff C, Nielsen L, Gubbels S, Denwood M, Thygesen UH, Christensen LE, Møller CH, Møller JK, Ellermann-Eriksen S, Østergaard C, Lam JUH, Abushalleeh N, Meaidi M, Olsen S, Mølbak K, Voldstedlund M. Electronic reporting of diagnostic laboratory test results from all healthcare sectors is a cornerstone of national preparedness and control of COVID-19 in Denmark. APMIS 2021; 129:438-451. [PMID: 33949007 PMCID: PMC8239934 DOI: 10.1111/apm.13140] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 04/07/2021] [Indexed: 12/03/2022]
Abstract
The COVID‐19 pandemic has led to an unprecedented demand for real‐time surveillance data in order to inform critical decision makers regarding the management of the pandemic. The aim of this review was to describe how the Danish national microbiology database, MiBa, served as a cornerstone for providing data to the real‐time surveillance system by linkage to other nationwide health registries. The surveillance system was established on an existing IT health infrastructure and a close network between clinical microbiologists, information technology experts, and public health officials. In 2020, testing capacity for SARS‐CoV‐2 was ramped up from none to over 10,000 weekly PCR tests per 100,000 population. The crude incidence data mirrored this increase in testing. Real‐time access to denominator data and patient registries enabled adjustments for fluctuations testing activity, providing robust data on crude SARS‐CoV‐2 incidence during the changing diagnostic and management strategies. The use of the same data for different purposes, for example, final laboratory reports, information to the public, contact tracing, public health, and science, has been a critical asset for the pandemic response. It has also raised issues concerning data protection and critical capacity of the underlying technical systems and key resources. However, even with these limitations, the setup has enabled decision makers to adopt timely interventions. The experiences from COVID‐19 may motivate a transformation from traditional indicator‐based public health surveillance to an all‐encompassing information system based on access to a comprehensive set of data sources, including diagnostic and reference microbiology.
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Affiliation(s)
- Kristian Schønning
- Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Ram Benny Dessau
- Department of Clinical Microbiology, Zealand University Hospital, Slagelse, Denmark
| | - Thøger Gorm Jensen
- Department of Clinical Microbiology, Odense University Hospital and Clinical Microbiology Research Unit, University of Southern Denmark, Odense, Denmark
| | - Nicklas Myrthue Thorsen
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark
| | - Camilla Wiuff
- Department of Clinical Microbiology, The Hospital of South West Jutland, University Hospital of Southern Denmark, Odense, Denmark
| | - Lene Nielsen
- Department of Clinical Microbiology, Copenhagen University Hospital Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Sophie Gubbels
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark
| | - Matt Denwood
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Uffe Høgsbro Thygesen
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Lasse Engbo Christensen
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Camilla Holten Møller
- Expert Group on Mathematical Modeling of COVIDd-19 Infectious Disease Preparedness Statens Serum Institut, Copenhagen S, Denmark
| | | | | | - Christian Østergaard
- Department of Clinical Microbiology, Copenhagen University Hospital, Hvidovre, Denmark
| | - Janni Uyen Hoa Lam
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark
| | - Nour Abushalleeh
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark
| | - Marianna Meaidi
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark
| | - Stefan Olsen
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark
| | - Kåre Mølbak
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.,Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Marianne Voldstedlund
- Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark
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5
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Lam JUH, Elfström KM, Ejegod DM, Pedersen H, Rygaard C, Rebolj M, Lynge E, Juul KE, Kjær SK, Dillner J, Bonde J. High-grade cervical intraepithelial neoplasia in human papillomavirus self-sampling of screening non-attenders. Br J Cancer 2018; 118:138-144. [PMID: 29136403 PMCID: PMC5765223 DOI: 10.1038/bjc.2017.371] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 09/15/2017] [Accepted: 09/26/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Self-sampling for human papillomavirus (HPV) offered to women who do not participate in cervical cancer screening is an increasingly popular method to increase screening coverage. The rationale behind self-sampling is that unscreened women harbour a high proportion of undetected precancer lesions. Here, we compare the cervical intraepithelial neoplasia grade 2 or worse (⩾CIN2) detection rate between non-attenders who participated in self-sampling and women attending routine screening. METHODS A total of 23 632 women who were qualified as non-attenders in the Copenhagen Region were invited for HPV-based self-sampling. Of these, 4824 women returned a self-sample, and HPV-positive women were referred for cytology and HPV co-testing as follow-up. The entire cohort and a reference cohort (3347 routinely screened women) were followed for histopathology confirmed ⩾CIN2. Odds ratio (OR) and the relative positive predictive value of ⩾CIN2 detection between the two populations were estimated. RESULTS Women participating in self-sampling had a higher ⩾CIN2 detection than women undergoing routine cytology-based screening (OR=1.83, 95% CI: 1.21-2.77) and a similar detection as routinely screened women tested with cytology and HPV testing (OR=1.03, 95% CI: 0.75-1.40). The positive predictive value for ⩾CIN2 was higher in screening non-attenders than in routinely HPV- and cytology-screened screened women (36.5% vs 25.6%, respectively). CONCLUSIONS Self-sampling offered to non-attenders showed higher detection rates for ⩾CIN2 than routine cytology-based screening, and similar detection rates as HPV and cytology co-testing. This reinforces the importance of self-sampling for screening non-attenders in organised cervical cancer screening.
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Affiliation(s)
- J U H Lam
- Department of Pathology, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Copenhagen, Denmark
| | - K M Elfström
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm 14186, Sweden
| | - D M Ejegod
- Department of Pathology, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Copenhagen, Denmark
| | - H Pedersen
- Department of Pathology, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Copenhagen, Denmark
| | - C Rygaard
- Department of Pathology, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Copenhagen, Denmark
| | - M Rebolj
- Clinical Research Centre, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Copenhagen, Denmark
| | - E Lynge
- Department of Public Health, University of Copenhagen, Copenhagen 1014, Denmark
| | - K E Juul
- Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
| | - S K Kjær
- Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
- Department of Obstetrics and Gynecology, Copenhagen University Hospital Rigshospitalet, Copenhagen 2100, Denmark
| | - J Dillner
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm 14186, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 14186, Sweden
| | - J Bonde
- Department of Pathology, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Copenhagen, Denmark
- Clinical Research Centre, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Copenhagen, Denmark
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6
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de Thurah L, Bonde J, Lam JUH, Rebolj M. Concordant testing results between various human papillomavirus assays in primary cervical cancer screening: systematic review. Clin Microbiol Infect 2018; 24:29-36. [PMID: 28559000 DOI: 10.1016/j.cmi.2017.05.020] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Revised: 05/09/2017] [Accepted: 05/22/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Human papillomavirus (HPV) assays are increasingly used for primary cervical screening and HPV-vaccination-effect monitoring. We undertook a systematic literature review to determine the concordance in positive test results (i.e. detection of HPV infections) between Hybrid Capture 2 (HC2) and other assays. METHODS We searched PubMed, Embase and Scopus for studies of primary screening with HC2 and one or more assays, with cross-tabulated testing results for the assays. Two authors applied inclusion criteria and three authors extracted data from included studies. For each inter-assay comparison, we calculated the concordance by comparing the number of concordant samples with the number of samples that tested positive on at least one assay. RESULTS Sixteen studies fulfilled inclusion criteria, comparing nine assays to HC2, and including 392 to 9451 patients each. The calculated concordance varied between 48% and 69% for HC2 and APTIMA, Cobas, Abbott RealTime, Cervista, GP5+/6+, CLART, BD HPV test, Amplicor and Linear Array, i.e. 31%-52% of all positive tests on any pair of compared assays were discordant. Although modest variation in the degree of concordance with HC2 was suggested for particular assays, the numbers of studies per assay were generally low. No pronounced systematic patterns were observed by study (e.g. liquid medium) or population characteristics. CONCLUSIONS The ten commercially available assays do not detect the same HPV infections. Even in the most favourable case, the two assays provided discordant test results in 31% of all detected infections.
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Affiliation(s)
- L de Thurah
- Department of Pathology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
| | - J Bonde
- Department of Pathology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Clinical Research Centre, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - J U H Lam
- Department of Pathology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - M Rebolj
- Department of Pathology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Clinical Research Centre, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
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7
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de Thurah L, Bonde J, Lam JUH, Rebolj M. Not all HPV nucleic acid tests are equal: only those calibrated to detect high grade lesions matter for cervical screening: Response to 'Concordant testing results between various human papillomavirus assays in primary cervical cancer screening: systematic review' by de Thurah, Bonde, Uyen, Lam and Rebolj. Published 27 May, 2017. Clin Microbiol Infect 2017; 24:438-439. [PMID: 29229428 DOI: 10.1016/j.cmi.2017.12.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2017] [Revised: 11/23/2017] [Accepted: 12/02/2017] [Indexed: 11/27/2022]
Affiliation(s)
- L de Thurah
- Global Health Institute, University of Antwerp, Antwerp, Belgium.
| | - J Bonde
- Department of Pathology and Clinical Research Centre, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - J U H Lam
- Department of Pathology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - M Rebolj
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK
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Lam JUH, Rebolj M, Møller Ejegod D, Pedersen H, Rygaard C, Lynge E, Thirstrup Thomsen L, Krüger Kjaer S, Bonde J. Human papillomavirus self-sampling for screening nonattenders: Opt-in pilot implementation with electronic communication platforms. Int J Cancer 2017; 140:2212-2219. [PMID: 28195317 PMCID: PMC5516138 DOI: 10.1002/ijc.30647] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 01/23/2017] [Accepted: 02/01/2017] [Indexed: 01/23/2023]
Abstract
In organized cervical screening programs, typically 25% of the invited women do not attend. The Copenhagen Self‐sampling Initiative (CSi) aimed to gain experiences on participation among screening nonattenders in the Capital Region of Denmark. Here, we report on the effectiveness of different communication platforms used in the pilot with suggestions for strategies prior to a full‐implementation. Moreover, an innovative approach using self‐sampling brushes with unique radio frequency identification chips allowed for unprecedented levels patient identification safety. Nonattenders from the capital region of Denmark were identified via the organized national invitation module. Screening history was obtained via the nationwide pathology registry. Twenty‐four thousand women were invited, and as an alternative to the regular communication platforms (letter and phone), women could request a home test via a mobile‐friendly webpage. Instruction material and video‐animation in several languages were made available online. Chi‐square test was used to test differences. Out of all invited, 31.7% requested a home test, and 20% returned it to the laboratory. In addition, 10% were screened at the physician after receiving the invitation. Stratified by screening history, long‐term unscreened women were less likely to participate than intermittently screened women (28% vs. 16%, p < 0.001). Of all contacts received, 64% (63–65) came via letter, and 31% (95CI: 30–32%) via webpage/mobile‐app. Self‐sampling was well‐accepted among nonattenders. Adopting modern technology‐based platforms into the current organized screening program would serve as a convenient communication method between health authority and citizens, allowing easy access for the citizen and reducing the work load in administrating self‐sampling approaches. What's new? Our implementation study is the first to evaluate opt‐in self‐sampling for 24,000 screening nonattenders, which can be basis for future routine implementation. Women could respond through a variety of communication channels (regular mail, phone and custom‐made web/mobile‐app). Our study utilized self‐sampling brushes with a novel RFID‐chip for secure patient‐identification, eliminating inconveniences for the women to fill out forms on returning the brush and loss of brushes due to missing identification.
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Affiliation(s)
- Janni Uyen Hoa Lam
- Department of Pathology, Copenhagen University Hospital, Hvidovre, Denmark
| | - Matejka Rebolj
- Clinical Research Centre, Copenhagen University Hospital, Hvidovre, Denmark
| | | | - Helle Pedersen
- Department of Pathology, Copenhagen University Hospital, Hvidovre, Denmark
| | - Carsten Rygaard
- Department of Pathology, Copenhagen University Hospital, Hvidovre, Denmark
| | - Elsebeth Lynge
- Department of Public Health, University of Copenhagen, Denmark
| | | | - Susanne Krüger Kjaer
- Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Obstetrics and Gynecology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Jesper Bonde
- Department of Pathology, Copenhagen University Hospital, Hvidovre, Denmark.,Clinical Research Centre, Copenhagen University Hospital, Hvidovre, Denmark
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Abstract
BACKGROUND The incidence rates of cervical cancer and the coverage in cervical cancer screening are usually reported by including in the denominator all women from the general population. However, after hysterectomy women are not at risk anymore of developing cervical cancer. Therefore, it makes sense to determine the indicators also for the true at-risk populations. We described the frequency of total hysterectomy in Denmark and its impact on the calculated incidence of cervical cancer and the screening coverage. MATERIAL AND METHODS With data from five Danish population-based registries, the incidence rate of cervical cancer and the screening coverage for women aged 23-64 years on 31 December 2010 were calculated with and without adjustments for hysterectomies undertaken for reasons other than cervical cancer. They were calculated as the number of cases divided by 1) the total number of woman-years from the general population; and 2) the at-risk population after exclusion of post-hysterectomy woman-years. Cases were defined as women with cervical cancer (incidence), or as women screened in the recommended interval, with or without adjustment for hysterectomies (coverage). RESULTS AND CONCLUSIONS In 2010, the all-age prevalence of hysterectomy was estimated at 6%, and ≥ 16% at age ≥ 65. This translated into an overall 6% increase in the incidence rate of cervical cancer, from 12.8 (unadjusted) to 13.5 (adjusted) per 100,000 woman-years. The screening coverage increased from 76% (unadjusted) to 79% (adjusted). In Denmark, hysterectomies do not have a large overall impact on the calculated cancer incidence and screening coverage. Nevertheless, at ≥ 65 years adjusted rates would increase by almost 20% compared to unadjusted rates. This suggests that calculating disease risks per organ-years may have a role in understanding the true burden of the disease in a population at risk of developing that disease.
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Affiliation(s)
- Janni Uyen Hoa Lam
- a Department of Public Health , University of Copenhagen , Copenhagen , Denmark
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Lam JUH, Rebolj M, Dugué PA, Bonde J, von Euler-Chelpin M, Lynge E. Condom use in prevention of Human Papillomavirus infections and cervical neoplasia: systematic review of longitudinal studies. J Med Screen 2014; 21:38-50. [PMID: 24488594 DOI: 10.1177/0969141314522454] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Based on cross-sectional studies, the data on protection from Human Papillomavirus (HPV) infections related to using male condoms appear inconsistent. Longitudinal studies are more informative for this purpose. We undertook a systematic review of longitudinal studies on the effectiveness of male condoms in preventing HPV infection and cervical neoplasia. METHODS We searched PubMed using MeSH terms for articles published until May 2013. Articles were included if they studied a change in non-immunocompromized women's cervical HPV infection or cervical lesion status along with the frequency of condom use. RESULTS In total, 384 abstracts were retrieved. Eight studies reported in 10 articles met the inclusion criteria for the final review. Four studies showed a statistically significantly protective effect of consistent condom use on HPV infection and on regression of cervical neoplasia. In the remaining four studies, a protective effect was also observed for these outcomes, although it was not statistically significant. CONCLUSIONS Consistent condom use appears to offer a relatively good protection from HPV infections and associated cervical neoplasia. Advice to use condoms might be used as an additional instrument to prevent unnecessary colposcopies and neoplasia treatments in cervical screening, and to reduce the risk of cervical cancer.
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Affiliation(s)
- Janni Uyen Hoa Lam
- Department of Public Health, University of Copenhagen, DK-1014 Copenhagen
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