Serial measurements in COVID-19-induced acute respiratory disease to unravel heterogeneity of the disease course: design of the Maastricht Intensive Care COVID cohort;MaastrICCht

  1. Maastricht Intensive Care COVID Study Group; MaastrICCht Collaborators
  2. Jeanette Tas
  3. Rob J.J. van Gassel
  4. Serge J.H. Heines
  5. Mark M.G. Mulder
  6. Nanon F.L. Heijnen
  7. Melanie J. Acampo-de Jong
  8. Julia L.M. Bels
  9. Frank C. Bennis
  10. Marcel Koelmann
  11. Rald V.M. Groven
  12. Moniek A. Donkers
  13. Frank van Rosmalen
  14. Ben J.M. Hermans
  15. Steven J.R. Meex
  16. Alma M.A. Mingels
  17. Otto Bekers
  18. Paul H.M. Savelkoul
  19. Astrid M.L Oude Lashof
  20. Joachim E. Wildberger
  21. Maastricht Intensive Care COVID Study Group
  22. Fabian H. Tijssen
  23. Wolfgang F.F.A. Buhre
  24. Jan-Willem E.M. Sels
  25. Chahinda Ghossein-Doha
  26. Rob G.H. Driessen
  27. Pieter L. Kubben
  28. Marcus L.F. Janssen
  29. Gerry A.F. Nicolaes
  30. Uli Strauch
  31. Zafer Geyik
  32. Thijs S.R. Delnoy
  33. Kim H.M. Walraven
  34. Coen D.A. Stehouwer
  35. Jeanine A.M.C.F. Verbunt
  36. Walther N.K.A van Mook
  37. Susanne van Santen
  38. Ronny M. Schnabel
  39. Marcel J.H. Aries
  40. Marcel C.G. van de Poll
  41. Dennis C.J.J Bergmans
  42. Iwan C.C. van der Horst
  43. Sander M.J. van Kuijk
  44. Bas C.T. van Bussel
1 evaluations Published on
Read the full article Related papers
This article on Sciety

Abstract

Background

The course of the disease in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in mechanically ventilated patients is unknown. To unravel the clinical heterogeneity of the SARS-CoV-2 infection in these patients, we designed the prospective observational Maastricht Intensive Care COVID cohort;MaastrICCht. We incorporated serial measurements that harbour aetiological, diagnostic and predictive information. The study aims to investigate the heterogeneity of the natural course of critically ill patients with SARS-CoV-2 infection.

Study population

Mechanically ventilated patients admitted to the Intensive Care with SARS- CoV-2 infection.

Main message

We will collect clinical variables, vital parameters, laboratory variables, mechanical ventilator settings, chest electrical impedance tomography, electrocardiograms, echocardiography as well as other imaging modalities to assess heterogeneity of the natural course of SARS-CoV-2 infection in critically ill patients. TheMaastrICChtcohort is, also designed to foster various other studies and registries and intends to create an open-source database for investigators. Therefore, a major part of the data collection is aligned with an existing national Intensive Care data registry and two international COVID-19 data collection initiatives. Additionally, we create a flexible design, so that additional measures can be added during the ongoing study based on new knowledge obtained from the rapidly growing body of evidence.

Conclusion

The spread of the COVID-19 pandemic requires the swift implementation of observational research to unravel heterogeneity of the natural course of the disease of SARS- CoV-2 infection in mechanically ventilated patients. Our design is expected to enhance aetiological, diagnostic and prognostic understanding of the disease. This paper describes the design of theMaastrICChtcohort.

Strengths and limitations of this study

  • Serial measurements that characterize the disease course of SARS-CoV-2 infection in mechanically ventilated patients

  • Data collection and analysis according to a predefined protocol

  • Flexible, evolving design enabling the study of multiple aspects of SARS-CoV-2 infection in mechanically ventilated patients

  • Single centre, including only ICU patients

Related articles

Related articles are currently not available for this article.