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While the coronavirus disease 2019 (COVID-19) pandemic placed a heavy burden on healthcare systems worldwide, it also induced urgent mobilisation of research teams to develop treatments preventing or curing the disease and its consequences. It has, therefore, challenged critical care research to rapidly focus on specific fields while forcing critical care physicians to make difficult ethical decisions. This narrative review aims to summarise critical care research -from organisation to research fields- in this pandemic setting and to highlight opportunities to improve research efficiency in the future, based on what is learned from COVID-19. This pressure on research revealed, i.e., (i) the need to harmonise regulatory processes between countries, allowing simplified organisation of international research networks to improve their efficiency in answering large-scale questions; (ii) the importance of developing translational research from which therapeutic innovations can emerge; (iii) the need for improved triage and predictive scores to rationalise admission to the intensive care unit. In this context, key areas for future critical care research and better pandemic preparedness are artificial intelligence applied to healthcare, characterisation of long-term symptoms, and ethical considerations. Such collaborative research efforts should involve groups from both high and low-to-middle income countries to propose worldwide solutions. As a conclusion, stress tests on healthcare organisations should be viewed as opportunities to design new research frameworks and strategies. Worldwide availability of research networks ready to operate is essential to be prepared for next pandemics. Importantly, researchers and physicians should prioritise realistic and ethical goals for both clinical care and research.

Original publication

DOI

10.1016/j.accpm.2022.101121

Type

Journal article

Journal

Anaesthesia, critical care & pain medicine

Publication Date

10/2022

Volume

41

Addresses

Department of Anaesthesiology and Intensive Care, Hôpital Saint-Antoine Paris, Assistance Publique-Hôpitaux de Paris, France and GRC 29, DMU DREAM, Sorbonne University, Paris, France; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford University, CA, United States.

Keywords

Humans, Critical Care, Artificial Intelligence, Delivery of Health Care, Pandemics, COVID-19