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Objective. Most respiratory infections have similar symptoms, so it is clinically difficult to determine their etiology. This study aimed to show the importance of molecular diagnostics in identifying the etiological agent of respiratory infections, especially during the coronavirus disease 2019 (COVID-19) pandemic. Methods. A total of 849 samples from patients hospitalized at the University Clinical Center Kragujevac (from January 1 to August 1, 2022) were examined using automated multiplex-polymerase chain reaction (PCR) tests. The BioFire-FilmArray-Respiratory Panel 2.1 test was used for 742 nasopharyngeal swabs [identification of 19 viruses (including SARS-CoV-2) and four bacteria], while the BioFire-FilmArray-Pneumonia Panel was used [identification of 18 bacteria and nine viruses] (BioMerieux, Marcy l'Etoile, France) for 107 tracheal aspirates. The tests were performed according to the manufacturer's instructions, and the results were available within an hour. Results. In 582 (78.4%) samples, the BioFire-FilmArray-Respiratory Panel 2.1 plus test identified at least one pathogen. The rhinovirus (20.6%), SARS-CoV-2 (17.7%), influenza A (17.5%), respiratory syncytial virus (12.4%), and parainfluenza 3 (10.1%) were the most common. Other viruses were found less frequently, and Bordetella parapertussis was detected in one sample. In 85 (79.4%) samples, the BioFire-FilmArray-Pneumonia Panel test identified at least one bacterium or virus. The most prevalent bacteria were Staphylococcus aureus (42.4%), Haemophilus influenzae (41.2%), Streptococcus pneumoniae (36.5%), Moraxella catarrhalis (22.3%), and Legionella pneumophila (2.4%). Among viruses, rhinovirus (36.5%), adenovirus (23.5%), influenza A (11.8%), and the genus Coronavirus (4.7%), were detected. Conclusion. Multiplex-PCR tests improved the implementation of therapeutic and epidemiological measures, preventing the spread of the COVID-19 infection and Legionnaires' disease.Copyright © 2022, Serbian Medical Society. All rights reserved.
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Objective: To explore the pathogen composition and distribution characteristics of pathogens in respiratory samples from patients with fever of unknown origin. Methods: A total of 96 respiratory samples of patients with unknown cause fever with respiratory symptoms were collected from four hospitals above grade II in Shijiazhuang area (Hebei Provincial Hospital of Traditional Chinese Medicine, Luancheng District People's Hospital, Luquan District People's Hospital, Shenze County Hospital) from January to April 2020, and multiplex-fluorescent polymerase chain reaction(PCR)was used to detect influenza A virus, influenza B virus, enterovirus, parainfluenza virus I/II/III/IV, respiratory adenovirus, human metapneumovirus, respiratory syncytial virus, human rhinovirus, human bocavirus, COVID-19, Mycoplasma pneumoniae, Chlamydia pneumoniae, Legionella pneumophila, Pseudomonas aeruginosa, Streptococcus pneumoniae, Klebsiella pneumoniae, Group A streptococcus, Haemophilus influenzae, Staphylococcus aureus nucleic acid detection, the results were analyzed for chi-square. Results: A total of 8 pathogens were detected in the upper respiratory tract samples of 96 fever patients, including 1 kind of virus, 6 kinds of bacterias, and Mycoplasma pneumoniae. There were 12 viruses including influenza virus and parainfluenza virus, Legionella pneumophila and Chlamydia pneumoniae were not detected. The pathogen detection rates in descending order were Streptococcus pneumoniae (58/96, 60.42%), Haemophilus influenzae(38/96, 39.58%), Klebsiella pneumoniae (14/96, 14.58%), Staphylococcus aureus (10/96, 10.42%), Mycoplasma pneumoniae (8/96, 8.33%), Pseudomonas aeruginosa (6/96, 6.25%), Group A streptococcus (4/96, 4.17%) and human rhinovirus (2/96, 2.08%). The proportions of single-pathogen infection and multi-pathogen mixed infection in fever clinic patients were similar, 41.67% (40/96) and 45.83% (44/96), respectively, and 12.50% (12/96)of the cases had no pathogens detected. The infection rate of Mycoplasma pneumoniae in female patients with fever (21.43%) was higher than that in male patients with fever (2.94%) (P < 0.05). There was no statistical difference between the distribution of of other pathogens and gender and age(P > 0.05). Conclusions: The upper respiratory tract pathogens were mainly bacterial infections, and occasional human rhinovirus and Mycoplasma pneumonia infections. In clinical diagnosis and treatment, comprehensive consideration should be given to the pathogen detection.
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COVID-19 mRNA vaccines: COVID-19 pandemic has made an extraordinary impact on global vaccine technology platform developments. Never in human history have there at least 6 vaccine platforms including: inactivated, protein subunit, VLP and other 3 new platforms i.e., mRNA, viral vector, and DNA, with more than 160 vaccine candidates being developed and tested in clinical trials. Nonetheless, among these several vaccine platforms, mRNA vaccine has been proven to be one of the most effective vaccines against COVID-19. There are two mRNA vaccines authorized for emergency use within a year and currently more than 20 mRNA vaccines are in clinical trials. The main advantages of mRNA vaccines are that they are speedily to design and develop, induce strong antibody and T-cell responses, manufacturing faster and at a lower cost. However, one of the major limitations is that it must be stored in cold temperatures. Currently more than billion doses of COVID-19 mRNA vaccines have been given globally. mRNA vaccines will be a key platform for next pandemics preparedness, it is therefore establishing this platform in various regions and LMICs is critical. Beyond COVID-19: A number of viral and cancer mRNA vaccines have been developing even before COVID-19. At least 12 mRNA vaccines against various infectious diseases are now in clinical evaluation, including Chikungunya virus, Cytomegalovirus, Epstein-Barr virus, Human metapneumovirus and parainfluenza virus type3, HIV, Influenza, Nipah, Rabies, Lasa, RSV, Zika, Varicella-zoster virus. Only few are entering phase 3 such as a CMV vaccine, RSV, seasonal influenza. Current mRNA cancer vaccines development, including brain, breast, melanoma, esophagus, lung, ovarian, prostate and solid tumors. Most are aimed for personalized therapy. By 2023, at least 1 viral mRNA vaccine may get approval, whereas a cancer vaccine might take much longer time. Nevertheless, the remaining challenge at the global level is how to truly overcome the vaccine inequity issues in a sustainable way.Copyright © 2023
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Objective. Most respiratory infections have similar symptoms, so it is clinically difficult to determine their etiology. This study aimed to show the importance of molecular diagnostics in identifying the etiological agent of respiratory infections, especially during the coronavirus disease 2019 (COVID-19) pandemic. Methods. A total of 849 samples from patients hospitalized at the University Clinical Center Kragujevac (from January 1 to August 1, 2022) were examined using automated multiplex-polymerase chain reaction (PCR) tests. The BioFire-FilmArray-Respiratory Panel 2.1 test was used for 742 nasopharyngeal swabs [identification of 19 viruses (including SARS-CoV-2) and four bacteria], while the BioFire-FilmArray-Pneumonia Panel was used [identification of 18 bacteria and nine viruses] (BioMerieux, Marcy l'Etoile, France) for 107 tracheal aspirates. The tests were performed according to the manufacturer's instructions, and the results were available within an hour. Results. In 582 (78.4%) samples, the BioFire-FilmArray-Respiratory Panel 2.1 plus test identified at least one pathogen. The rhinovirus (20.6%), SARS-CoV-2 (17.7%), influenza A (17.5%), respiratory syncytial virus (12.4%), and parainfluenza 3 (10.1%) were the most common. Other viruses were found less frequently, and Bordetella parapertussis was detected in one sample. In 85 (79.4%) samples, the BioFire-FilmArray-Pneumonia Panel test identified at least one bacterium or virus. The most prevalent bacteria were Staphylococcus aureus (42.4%), Haemophilus influenzae (41.2%), Streptococcus pneumoniae (36.5%), Moraxella catarrhalis (22.3%), and Legionella pneumophila (2.4%). Among viruses, rhinovirus (36.5%), adenovirus (23.5%), influenza A (11.8%), and the genus Coronavirus (4.7%), were detected. Conclusion. Multiplex-PCR tests improved the implementation of therapeutic and epidemiological measures, preventing the spread of the COVID-19 infection and Legionnaires' disease.Copyright © 2022, Serbian Medical Society. All rights reserved.
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The simultaneous detection and specific identification of multiple pathogens from patients exhibiting respiratory symptoms is important for directing pathogen-specific treatments. The ePlex Respiratory Pathogen Panel 2 (ePlex RP2 panel) is a multiplex molecular test for the qualitative detection of many viral and bacterial pathogens including SARS-CoV-2 in respiratory tract infections. The ePlex RP2 panel received FDA emergency use authorization for nasopharyngeal swab specimens collected in viral transport media. In the evaluation using the ePlex RP2, a total of 67 nasopharyngeal swab specimens were compared to the ePlex RP panel and the CDC 2019-nCoV Real-Time RT-PCR assay as the reference methods. The overall agreement of the ePlex RP2 panel was 100%. The ePlex RP2 panel could detect Omicron BA1 and BA2. The ePlex RP2 panel is a rapid, sensitive and specific "specimen-to-answer" platform to detect simultaneously multiple viruses and bacteria in the upper respiratory tract.Copyright © 2022 The Authors
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BACKGROUND: Since the onset of the coronavirus disease-2019 (COVID-19) pandemic, the prevalence of respiratory infectious diseases, particularly, the flu epidemic, has considerably decreased. The low detection rate and decreased number of specimens have hindered the implementation of the Korea Influenza and Respiratory Viruses Surveillance System (KINRESS), a sentinel surveillance system. Most patients with influenza-like illness visit the COVID-19 screening clinic; therefore, the number of samples collected in sentinel surveillance has decreased by more than 50%. Thus, the Korea Disease Control and Prevention Agency supplemented sentinel surveillance with non-sentinel surveillance by private medical diagnostic centers. We report here a delayed and unprecedented high detection of human parainfluenza virus (hPIV) in the Republic of Korea during the COVID-19 pandemic through sentinel and non-sentinel surveillance. We also examined the causes and implications of the changes in prevalence of hPIV.l METHODS: We collected data for 56,984 and 257,217 samples obtained through sentinel and non-sentinel surveillance, respectively. Eight viruses were confirmed using real-time reverse transcription-polymerase chain reaction (PCR) or real-time PCR. Some specimens from the sentinel surveillance were used for genetic characterization of hPIV type 3. RESULTS: In 2020, hPIV was rarely detected; however, it was detected in August 2021. The detection rate continued to increase considerably in September and reached over 70% in October, 2021. The detection rate of hPIV3 was significantly higher in infants and preschoolers aged 0-6 years in both sentinel and non-sentinel surveillance. Detection of hPIV was delayed in metropolitan areas compared to that in suburban regions. The hemagglutinin-neuraminidase sequences of hPIV3 generated in 2021 were not distinct from those detected prior to the COVID-19 pandemic. CONCLUSIONS: The operation of non-sentinel and sentinel surveillance to monitor respiratory viruses could sensitively detect an unprecedented revival of hPIV in the Republic of Korea during the COVID-19 pandemic.
Subject(s)
COVID-19 , Coronavirus , Influenza, Human , Respiratory Tract Infections , Infant , Humans , Pandemics , Influenza, Human/epidemiology , COVID-19/diagnosis , COVID-19/epidemiology , Parainfluenza Virus 1, Human , Parainfluenza Virus 2, HumanABSTRACT
Purpose: Respiratory viral infection, including COVID-19, causes significant morbidity and mortality in solid organ transplant recipients (SOTR), however, the data of parainfluenza virus (PIV) type 3 infection in this population is still limited. The aim of this study was to reveal the clinical picture of PIV type 3 infection in SOTR. Method(s): This was a retrospective cohort study, conducted between 01/01/2017 and 08/31/2021. We included adult SOTR with an active graft whose respiratory specimen, either nasopharyngeal swab or bronchoalveolar lavage, was positive for PIV type 3 via Filmarray 2.0 and Torch, BioMerieux. Lower respiratory tract infection was defined as any chest radiological abnormality. Result(s): We identified 25 patients including 14 kidney, 4 lung, 3 heart, 1 liver, and 3 combined transplant recipients (Table 1). Hospital and intensive care unit admission rate was 88% (22/25) and 16% (4/25), respectively. Lower respiratory tract infection was seen in 44% (11/25). No specific treatments for PIV type 3 were given to this cohort. Co-, secondary infection was observed in 4 (16%) SOTR with 2 Enterovirus/ Rhinovirus, 1 Fusobacterium bacteremia, and 1 Pseudomonas aeruginosa pneumonia. Only 2 (8%) died within three months after diagnosis. Conclusion(s): PIV type 3 in SOTR showed favorable outcome and no episodes of rejection occurring during follow up. Further studies should be needed to identify the risk factors for mortality.
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SESSION TITLE: COVID-19 Co-Infections SESSION TYPE: Rapid Fire Case Reports PRESENTED ON: 10/19/2022 12:45 pm - 1:45 pm INTRODUCTION: Over the past 2 years, SARS-CoV-2 has been undergoing research regarding its immunopathology, with its understanding continuously evolving. We present a case of severe respiratory failure from viral co-infection with SARS-CoV-2, parainfluenza virus III, influenza A, and adenovirus. CASE PRESENTATION: A 42-year-old female with no respiratory or immunological comorbidities, was admitted with respiratory failure that progressed within days to severe septic shock and refractory hypoxemia requiring venovenous extracorporeal membrane oxygenation (VV-ECMO). On initial laboratory evaluation, her nasopharyngeal swab sample tested positive for SARS-CoV-2, Parainfluenza virus III, Influenza A, and Adenovirus on our institute's ROCHE PCR detection test. This was then confirmed with an endotracheal sample and a BAL sample, each of which tested positive for the above 4 viruses. The patient had no prior history of lung disease, autoimmune disorder, immunodeficiency, or malignancy. Serum immunoglobulin levels were within normal range, and the patient tested negative for HIV. She was not on any immunomodulators, and had no known contacts with individuals with polyviral infection. Her presentation had been usual, with 6 days of fever, shortness of breath, extreme fatigue, coughing, and diarrhea. She had initially received treatment with remdesivir, tocilizumab, and dexamethasone. But these tests were noted to be positive prior to her receiving any therapies. Her hospital course was complicated by septic shock, refractory hypoxemia, secondary ventilator associated pneumonia, and fungemia, requiring invasive mechanical ventilation, inhaled nitric oxide, vasopressors, broad spectrum antimicrobials, and eventually rescue by VV-ECMO. She slowly recovered over 6 weeks, received a tracheostomy and was discharged to a long-term acute care hospital for continued rehabilitation and weaning from mechanical ventilation. At 1 year follow up, she has made a full recovery with no residual respiratory limitation. DISCUSSION: Co-infection is defined as infection at diagnosis within 7 days of initial primary infection, whereas, secondary infection develops after 7 days. Co-infection of respiratory viruses, though uncommon, has been reported. Their detection has improved with the use of PCR testing. Simultaneous infection of COVID-19 and usual respiratory viruses has also been documented. Effect of co-infection on disease severity is a result of interaction of viruses among themselves and with the host. CONCLUSIONS: COVID-19 research has mainly focused on SARS-CoV-2 effects on the human host, but with it evolving into an endemic, its interaction and co- and superinfection with other pathogens is imperative. Further research into such interactions of SARS-CoV2 are required to help develop preventative and therapeutic measures. Reference #1: Lansbury L, Lim B, Baskaran V, Lim WS. Co-infections in people with covid-19: A systematic review and meta-analysis. SSRN Electronic Journal. 2020. Reference #2: Kim D, Quinn J, Pinsky B, Shah NH, Brown I. Rates of co-infection between SARS-COV-2 and other respiratory pathogens. JAMA. 2020;323(20):2085. Reference #3: DaPalma T, Doonan BP, Trager NM, Kasman LM. A systematic approach to virus–virus interactions. Virus Research. 2010;149(1):1-9. DISCLOSURES: No relevant relationships by Vinita Kusupati No relevant relationships by Jyoti Lenka No relevant relationships by Rachel Tan
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BACKGROUND: Parainfluenza virus type 3 (PIV3) and respiratory syncytial virus (RSV) B epidemics occurred in South Korea in late 2021. We investigated epidemiological changes of PIV3 and RSV B infections in Korean children before and during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: In this multicenter retrospective study, we enrolled patients aged less than 19 years with PIV3 or RSV infection in four university hospitals from January 2018 to January 2022. Demographic and clinical data were extracted from the subject's medical records and analyzed for each virus. RESULTS: A total of 652 children with PIV3 were identified including three epidemics: 216 in 2018, 260 in 2019, and 167 in 2021. Among 627 RSV B cases, 169 were identified in 2017/2018, 274 in 2019/2020, and 115 in 2021/2022. The peak circulation of PIV3 and RSV B epidemics were delayed by 6 and 2 months, respectively, in 2021, compared with those in the pre-COVID-19 period. The median age of PIV3 infections increased in 2021 (21.5 months in 2021 vs. 13.0-14.0 in 2018-2019; P < 0.001), whereas that of RSV B infections remained unchanged (3.6-4.0 months). During the COVID-19 pandemic, less frequent hospitalization rates were observed for both PIV3 and RSV B infections, but more children needed respiratory assistance for RSV B infection in 2021/2022 epidemic (32.5%) than before (14.7-19.4%, P = 0.014). CONCLUSION: We observed changes in the epidemiology and clinical presentation of PIV3 and RSV B infections in Korean children during the COVID-19 pandemic.
Subject(s)
COVID-19 , Respiratory Syncytial Virus Infections , Antibodies, Viral , COVID-19/epidemiology , Child , Humans , Infant , Pandemics , Parainfluenza Virus 3, Human , Respiratory Syncytial Virus Infections/epidemiology , Respiratory Syncytial Viruses , Retrospective StudiesABSTRACT
Objective: In this retrospective study, we aimed to identify viral agents in children hospitalized with ALRTI and to show the relationship between viral agents and clinical characteristics. Material and Methods: Two hundred and fifty five children (55.7% male) who were diagnosed with ALRTI and hospitalized between March 2016 and February 2017 were included in the study. Clinical characteristics of the patients who were examined to detect respiratory tract viruses with PCR analysis in nasopharyngeal swab samples were evaluated by using medical records. The patients were divided into three groups according to their age: under two years old, between 2-6 years old, and between 6-18 years old. Newborns were not included in the study.
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BACKGROUND: Human parainfluenza virus 3 (HPIV3) is a major respiratory pathogen that causes acute respiratory infections in infants and children. Since September 2021, an out-of-season HPIV3 rebound has been noted in Korea. The objective of this study was to analyze the molecular characteristics of the HPIV3 strains responsible for the outbreak in Seoul, South Korea. METHODS: A total of 61 HPIV3-positive nasopharyngeal swab specimens were collected between October and November 2021. Using 33 HPIV3-positive specimens, partial nucleotide sequences of the HPIV3 hemagglutinin-neuraminidase (HN) gene were aligned with previously published HN gene sequences for phylogenetic and genetic distance (p-distance) analyses. RESULTS: Phylogenetic tree revealed that all Seoul HPIV3 strains grouped within the phylogenetic subcluster C3. However, these strains formed a unique cluster that branched separately from the C3a lineage. This cluster showed 99% bootstrap support with a p-distance < 0.001. Genetic distances within the other C3 lineages ranged from 0.013 (C3a) to 0.023 (C3c). Deduced amino acid sequences of the HN gene revealed four protein substitutions in Seoul HPIV3 strains that have rarely been observed in other reference strains: A22T, K31N, G387S, and E514K. CONCLUSIONS: Phylogenetic analysis of Seoul HPIV3 strains revealed that the strain belonged to a separate cluster within subcluster C3. Genetic distances among strains within subcluster C3 suggest the emergence of a new genetic lineage. The emergence of a new genetic lineage could pose a potential risk of a new epidemic. Further monitoring of the circulating HPIV3 strains is needed to understand the importance of newly discovered mutations.
Subject(s)
COVID-19 , Paramyxoviridae Infections , Child , HN Protein/chemistry , HN Protein/genetics , HN Protein/metabolism , Humans , Infant , Pandemics , Parainfluenza Virus 3, Human/genetics , Phylogeny , SeoulABSTRACT
Objective: To evaluate the detection consistency and power of a multiplex combined real-time PCR detection kits, and provide reference for the prevention and control of influenza plus SARS-CoV-2 infection.
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Objective: To analyze the epidemiologic characteristics of common respiratory virus infection in hospitalized children in Wuhan Children's Hospital from January to December 2019, and provide evidence for clinical diagnosis and treatment.