1
|
Nairz M, Todorovic T, Gehrer CM, Grubwieser P, Burkert F, Zimmermann M, Trattnig K, Klotz W, Theurl I, Bellmann-Weiler R, Weiss G. Single-Center Experience in Detecting Influenza Virus, RSV and SARS-CoV-2 at the Emergency Department. Viruses 2023; 15:470. [PMID: 36851685 PMCID: PMC9958692 DOI: 10.3390/v15020470] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/02/2023] [Accepted: 02/04/2023] [Indexed: 02/10/2023] Open
Abstract
Reverse transcription polymerase chain reaction (RT-PCR) on respiratory tract swabs has become the gold standard for sensitive and specific detection of influenza virus, respiratory syncytial virus (RSV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this retrospective analysis, we report on the successive implementation and routine use of multiplex RT-PCR testing for patients admitted to the Internal Medicine Emergency Department (ED) at a tertiary care center in Western Austria, one of the hotspots in the early coronavirus disease 2019 (COVID-19) pandemic in Europe. Our description focuses on the use of the Cepheid® Xpert® Xpress closed RT-PCR system in point-of-care testing (POCT). Our indications for RT-PCR testing changed during the observation period: From the cold season 2016/2017 until the cold season 2019/2020, we used RT-PCR to diagnose influenza or RSV infection in patients with fever and/or respiratory symptoms. Starting in March 2020, we used the RT-PCR for SARS-CoV-2 and a multiplex version for the combined detection of all these three respiratory viruses to also screen subjects who did not present with symptoms of infection but needed in-hospital medical treatment for other reasons. Expectedly, the switch to a more liberal RT-PCR test strategy resulted in a substantial increase in the number of tests. Nevertheless, we observed an immediate decline in influenza virus and RSV detections in early 2020 that coincided with public SARS-CoV-2 containment measures. In contrast, the extensive use of the combined RT-PCR test enabled us to monitor the re-emergence of influenza and RSV detections, including asymptomatic cases, at the end of 2022 when COVID-19 containment measures were no longer in place. Our analysis of PCR results for respiratory viruses from a real-life setting at an ED provides valuable information on the epidemiology of those infections over several years, their contribution to morbidity and need for hospital admission, the risk for nosocomial introduction of such infection into hospitals from asymptomatic carriers, and guidance as to how general precautions and prophylactic strategies affect the dynamics of those infections.
Collapse
Affiliation(s)
- Manfred Nairz
- Department of Internal Medicine II (Infectious Diseases, Immunology, Rheumatology, Pneumology), Medical University of Innsbruck, A-6020 Innsbruck, Austria
| | | | | | | | | | | | | | | | | | | | - Günter Weiss
- Department of Internal Medicine II (Infectious Diseases, Immunology, Rheumatology, Pneumology), Medical University of Innsbruck, A-6020 Innsbruck, Austria
| |
Collapse
|
2
|
Lakota K, Perdan-Pirkmajer K, Sodin-Šemrl S, Čučnik S, Šubelj V, Prosenc K, Mrak Poljšak K, Tomšič M, Ambrožič A, Praprotnik S. The immunogenicity of seasonal and pandemic influenza vaccination in autoimmune inflammatory rheumatic patients-a 6-month follow-up prospective study. Clin Rheumatol 2019; 38:1277-1292. [PMID: 30761436 DOI: 10.1007/s10067-019-04439-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 01/07/2019] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Influenza may cause severe complications in patients with autoimmune inflammatory rheumatic disease (AIRD), to whom vaccinations are especially recommended. However, AIRD patients require cautious scrutiny of immunogenicity as they might exhibit poor antibody response to vaccination, especially when taking immunomodulatory medications. AIM The aim was to determine immunogenicity of seasonal and pandemic influenza vaccine in AIRD patients, its timeline/persistence, and influence of medications on immune response. METHODS One hundred and thirty-seven AIRD and 54 healthy controls were vaccinated with trivalent seasonal influenza. After 3-5 weeks, 15 healthy controls and 93 AIRD were vaccinated with pandemic influenza vaccine, and 63 of patients were vaccinated a second time after 3-5 weeks. Sera were collected before vaccination, 18-90 days after each vaccination, and more than 180 days after the last vaccination. The immune response was measured using hemagglutination inhibition (HI) assay and IgG/IgA antibodies against influenza A/B with ELISA. RESULTS Our findings indicate that following vaccination with seasonal influenza vaccine, seroprotection, seroresponse, and change in geometric mean titers (GMT) in AIRD patients was not compromised compared to healthy. Similarly, we report for pandemic influenza vaccination little added benefit of the second dose. We confirm lowest increase in HI titer in rituximab-treated AIRD compared to other medications. Vaccination largely tilts the balance from negative ELISA A IgG and IgA titers to positive titers in seasonal H1N1 seroresponsive AIRD patients and controls. A significant decrease in HI GMT and seroprotection was observed only in AIRD at > 180 days after vaccination highlighting an absent persistence of immunogenic response in AIRD patients. Due to high initial HI titers for influenza vaccine, we foresee their benefit in personalized medicine in the future. CONCLUSION Influenza vaccination is immunologically active for AIRD, with little value of the second dose of the pandemic vaccine and further scrutiny on persistence of immune response to vaccine in AIRD is needed.
Collapse
Affiliation(s)
- K Lakota
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia.
- Faculty of Mathematics, Natural Science and Information Technologies, University of Primorska, 6000, Koper, Slovenia.
| | - K Perdan-Pirkmajer
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
| | - S Sodin-Šemrl
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Mathematics, Natural Science and Information Technologies, University of Primorska, 6000, Koper, Slovenia
| | - S Čučnik
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Chair of Pharmacy, University of Ljubljana, 1000, Ljubljana, Slovenia
| | - V Šubelj
- Laboratory for public health virology, National Laboratory for Health, Environment and Food, Ljubljana, 1000, Slovenia
| | - K Prosenc
- Laboratory for public health virology, National Laboratory for Health, Environment and Food, Ljubljana, 1000, Slovenia
| | - K Mrak Poljšak
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
| | - M Tomšič
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia
| | - A Ambrožič
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
| | - S Praprotnik
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
| |
Collapse
|
3
|
Merler S, Ajelli M, Camilloni B, Puzelli S, Bella A, Rota MC, Tozzi AE, Muraca M, Meledandri M, Iorio AM, Donatelli I, Rizzo C. Pandemic influenza A/H1N1pdm in Italy: age, risk and population susceptibility. PLoS One 2013; 8:e74785. [PMID: 24116010 PMCID: PMC3792117 DOI: 10.1371/journal.pone.0074785] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2013] [Accepted: 08/06/2013] [Indexed: 11/19/2022] Open
Abstract
Background A common pattern emerging from several studies evaluating the impact of the 2009 A/H1N1 pandemic influenza (A/H1N1pdm) conducted in countries worldwide is the low attack rate observed in elderly compared to that observed in children and young adults. The biological or social mechanisms responsible for the observed age-specific risk of infection are still to be deeply investigated. Methods The level of immunity against the A/H1N1pdm in pre and post pandemic sera was determined using left over sera taken for diagnostic purposes or routine ascertainment obtained from clinical laboratories. The antibody titres were measured by the haemagglutination inhibition (HI) assay. To investigate whether certain age groups had higher risk of infection the presence of protective antibody (≥1∶40), was calculated using exact binomial 95% CI on both pre- and post- pandemic serological data in the age groups considered. To estimate age-specific susceptibility to infection we used an age-structured SEIR model. Results By comparing pre- and post-pandemic serological data in Italy we found age- specific attack rates similar to those observed in other countries. Cumulative attack rate at the end of the first A/H1N1pdm season in Italy was estimated to be 16.3% (95% CI 9.4%-23.1%). Modeling results allow ruling out the hypothesis that only age-specific characteristics of the contact network and levels of pre-pandemic immunity are responsible for the observed age-specific risk of infection. This means that age-specific susceptibility to infection, suspected to play an important role in the pandemic, was not only determined by pre-pandemic levels of H1N1pdm antibody measured by HI. Conclusions Our results claim for new studies to better identify the biological mechanisms, which might have determined the observed pattern of susceptibility with age. Moreover, our results highlight the need to obtain early estimates of differential susceptibility with age in any future pandemics to obtain more reliable real time estimates of critical epidemiological parameters.
Collapse
Affiliation(s)
- Stefano Merler
- Predictive Models for Biomedicine & Environment, Bruno Kessler Foundation, Trento, Italy
| | - Marco Ajelli
- Predictive Models for Biomedicine & Environment, Bruno Kessler Foundation, Trento, Italy
| | - Barbara Camilloni
- Department of Medical and Surgical Specialties and Public Health, University of Perugia, Perugia, Italy
| | - Simona Puzelli
- Department of Infectious, Parasitic and Immune-mediated Diseases, National Institute of Health, Rome, Italy
| | - Antonino Bella
- National Centre for Epidemiology, Surveillance and Health Promotion, National Institute of Health, Rome, Italy
| | - Maria Cristina Rota
- National Centre for Epidemiology, Surveillance and Health Promotion, National Institute of Health, Rome, Italy
| | | | - Maurizio Muraca
- Bambino Gesù Children Hospital and Research Institute, Rome, Italy
| | | | - Anna Maria Iorio
- Department of Medical and Surgical Specialties and Public Health, University of Perugia, Perugia, Italy
| | - Isabella Donatelli
- Department of Infectious, Parasitic and Immune-mediated Diseases, National Institute of Health, Rome, Italy
| | - Caterina Rizzo
- National Centre for Epidemiology, Surveillance and Health Promotion, National Institute of Health, Rome, Italy
- * E-mail:
| |
Collapse
|
4
|
Liu T, Li Z, Song S, Zhang S, Wang Y, Wang L, Xu A, Wang X, Bi Z. Seroepidemiological study of influenza A (H1N1) pdm09 virus following the 2009-2010 wave in Shandong Province, China. ACTA ACUST UNITED AC 2013; 45:552-6. [PMID: 23672510 DOI: 10.3109/00365548.2013.793818] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
INTRODUCTION The aims of this study were to understand the geographic extent, risk factors, and attack rate of influenza A (H1N1) pdm09 virus (pH1N1) infection in Shandong Province China and to elucidate influencing factors. METHODS In January and March 2010, a cross-sectional seroprevalence survey of pH1N1 was carried out. Serum samples from 9022 participants in the survey were subjected to the hemagglutination inhibition assay. RESULTS Among the 9022 participants, the overall rate of seropositivity against pH1N1 was 22.6%. The weighted rate, adjusted for gender, age, and region, was estimated to be 18.7%. Among 8340 subjects who did not report previous vaccination, the rate was 16.7%, as compared to 50.9% among 682 subjects reporting previous vaccination (p < 0.001). Within the unvaccinated population, the rate of seropositivity among 16-24 and 6-15 y-old subjects was 31.8% and 29.9%, respectively, as compared to 9.6% among subjects aged ≥ 60 y (p < 0.001) and 23% in the 0-5 y age group (p < 0.001). Those aged 6-15 y and aged 16-24 y had higher odds of seropositivity than those aged 0-5 y (odds ratio 1.53 and 1.48, respectively). CONCLUSIONS These study findings help enhance our understanding of pH1N1 epidemiology and provide valuable information for the vaccination strategy for the influenza season.
Collapse
Affiliation(s)
- Ti Liu
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Diseases Control and Prevention, Shandong University Institute for Prevention Medicine, Jinan, Shandong, China
| | | | | | | | | | | | | | | | | |
Collapse
|