Update in COVID-19 in the intensive care unit from the 2020 HELLENIC Athens International symposium

Jordi Rello, Mirko Belliato, Meletios-Athanasios Dimopoulos, Evangelos J. Giamarellos-Bourboulis, Vladimir Jaksic, Ignacio Martin-Loeches, Iosif Mporas, Paolo Pelosi, Garyphallia Poulakou, Spyridon Pournaras, Maximiliano Tamae-Kakazu, Jean-François Timsit, Grant Waterer, Sofia Tejada, George Dimopoulos

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)


The 2020 International Web Scientific Event in COVID-19 pandemic in critically ill patients aimed at updating the information and knowledge on the COVID-19 pandemic in the intensive care unit. Experts reviewed the latest literature relating to the COVID-19 pandemic in critically ill patients, such as epidemiology, pathophysiology, phenotypes of infection, COVID-19 as a systematic infection, molecular diagnosis, mechanical ventilation, thromboprophylaxis, COVID-19 associated co-infections, immunotherapy, plasma treatment, catheter-related bloodstream infections, artificial intelligence for COVID-19, and vaccination. Antiviral therapy and co-infections are out of the scope of this review. In this review, each of these issues is discussed with key messages regarding management and further research being presented after a brief review of available evidence.
Original languageEnglish
Pages (from-to)723-730
Number of pages8
JournalAnaesthesia Critical Care & Pain Medicine
Issue number6
Early online date22 Oct 2020
Publication statusPublished - 1 Dec 2020


  • COVID-19
  • SARS-CoV-2
  • Pneumonia
  • Acute respiratory failure
  • ARDS
  • Intensive care
  • Congresses as Topic
  • Intensive Care Units
  • Immunization, Passive/methods
  • Pandemics
  • Immunotherapy/methods
  • Humans
  • Symptom Assessment
  • COVID-19 Nucleic Acid Testing/methods
  • COVID-19/diagnosis
  • Virus Internalization
  • Phenotype
  • COVID-19 Vaccines
  • Videoconferencing
  • Thromboembolism/prevention & control
  • Global Health/statistics & numerical data


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