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1000 Titel
  • Tuberculosis and COVID-19: Lessons from the Past Viral Outbreaks and Possible Future Outcomes
1000 Autor/in
  1. Crisan-Dabija, Radu |
  2. Grigorescu, Cristina |
  3. Pavel, Cristina-Alice |
  4. Artene, Bogdan |
  5. Popa, Iolanda Valentina |
  6. Cernomaz, Andrei |
  7. Burlacu, Alexandru |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-08
1000 Erschienen in
1000 Quellenangabe
  • 2020:1401053
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1155/2020/1401053 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479474/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: The threat of contagious infectious diseases is constantly evolving as demographic explosion, travel globalization, and changes in human lifestyle increase the risk of spreading pathogens, leading to accelerated changes in disease landscape. Of particular interest is the aftermath of superimposing viral epidemics (especially SARS-CoV-2) over long-standing diseases, such as tuberculosis (TB), which remains a significant disease for public health worldwide and especially in emerging economies. METHODS AND RESULTS: The PubMed electronic database was systematically searched for relevant articles linking TB, influenza, and SARS-CoV viruses and subsequently assessed eligibility according to inclusion criteria. Using a data mining approach, we also queried the COVID-19 Open Research Dataset (CORD-19). We aimed to answer the following questions: What can be learned from other coronavirus outbreaks (focusing on TB patients)? Is coinfection (TB and SARS-CoV-2) more severe? Is there a vaccine for SARS-CoV-2? How does the TB vaccine affect COVID-19? How does one diagnosis affect the other? DISCUSSIONS: Few essential elements about TB and SARS-CoV coinfections were discussed. First, lessons from past outbreaks (other coronaviruses) and influenza pandemic/seasonal outbreaks have taught the importance of infection control to avoid the severe impact on TB patients. Second, although challenging due to data scarcity, investigating the pathological pathways linking TB and SARS-CoV-2 leads to the idea that their coexistence might yield a more severe clinical evolution. Finally, we addressed the issues of vaccination and diagnostic reliability in the context of coinfection. CONCLUSIONS: Because viral respiratory infections and TB impede the host’s immune responses, it can be assumed that their lethal synergism may contribute to more severe clinical evolution. Despite the rapidly growing number of cases, the data needed to predict the impact of the COVID-19 pandemic on patients with latent TB and TB sequelae still lies ahead. The trial is registered with NCT04327206, NCT01829490, and NCT04121494.
1000 Sacherschließung
gnd 1206347392 COVID-19
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Q3Jpc2FuLURhYmlqYSwgUmFkdQ==|https://frl.publisso.de/adhoc/uri/R3JpZ29yZXNjdSwgQ3Jpc3RpbmE=|https://frl.publisso.de/adhoc/uri/UGF2ZWwsIENyaXN0aW5hLUFsaWNl|https://frl.publisso.de/adhoc/uri/QXJ0ZW5lLCBCb2dkYW4=|https://orcid.org/0000-0002-0597-8839|https://frl.publisso.de/adhoc/uri/Q2Vybm9tYXosIEFuZHJlaQ==|https://orcid.org/0000-0002-3424-1588
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Romanian Academy of Medical Sciences |
  2. European Regional Development Fund |
1000 Fördernummer
  1. 2/Axa 1/31.07.2017/107124 SMIS
  2. 2/Axa 1/31.07.2017/107124 SMIS
1000 Förderprogramm
  1. MySMIS 107124
  2. MySMIS 107124
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Romanian Academy of Medical Sciences |
    1000 Förderprogramm MySMIS 107124
    1000 Fördernummer 2/Axa 1/31.07.2017/107124 SMIS
  2. 1000 joinedFunding-child
    1000 Förderer European Regional Development Fund |
    1000 Förderprogramm MySMIS 107124
    1000 Fördernummer 2/Axa 1/31.07.2017/107124 SMIS
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6423786.rdf
1000 Erstellt am 2020-10-29T09:38:14.922+0100
1000 Erstellt von 284
1000 beschreibt frl:6423786
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2020-10-29T10:18:08.281+0100
1000 Objekt bearb. Thu Oct 29 10:15:13 CET 2020
1000 Vgl. frl:6423786
1000 Oai Id
  1. oai:frl.publisso.de:frl:6423786 |
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