Your browser doesn't support javascript.
loading
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
Jeanette Tas; Rob J.J. van Gassel; Serge J.H. heines; Mark M.G. Mulder; Nanon F.L. heijnen; Melanie J Acampo - de Jong; Julia L.M. Bels; Frank C Bennis; Marcel Koelmann; Rald V.M. Groven; Moniek A Donkers; Frank van Rosmalen; Ben J.M. Hermans; - Maastricht Intensive Care COVID Study Group; Steven J.R. Meex; Alma M.A. Mingels; Otto Bekers; Paul H.M. Savelkoul; Astrid M.L Oude Lashof; Joachim E Wildberger; Fabian H Tijssen; Wolfgang F.F.A. Buhre; Jan-Willem E.M. Sels; Chahinda Ghossein-Doha; Rob G.H. Driessen; Pieter L Kubben; Marcus L.F. Janssen; Gerry A.F. Nicolaes; Uli Strauch; Zafer Geyik; Thijs S.R. Delnoij; Kim H.M. Walraven; Coen D.A. Stehouwer; Jeanine A.M.C.F. Verbunt; Walther N.K.A. van Mook; Susanne van Santen; Ronny M. Schnabel; Marcel J.H. Aries; Marcel C.G. van de Poll; Dennis C.J.J. Bergmans; Iwan C.C. van der Horst; Sander M.J. van Kuijk; Bas C.T. van Bussel.
Affiliation
  • Jeanette Tas; MUMC
  • Rob J.J. van Gassel; MUMC
  • Serge J.H. heines; MUMC
  • Mark M.G. Mulder; MUMC
  • Nanon F.L. heijnen; MUMC
  • Melanie J Acampo - de Jong; MUMC
  • Julia L.M. Bels; MUMC
  • Frank C Bennis; MUMC
  • Marcel Koelmann; MUMC
  • Rald V.M. Groven; MUMC
  • Moniek A Donkers; MUMC
  • Frank van Rosmalen; MUMC
  • Ben J.M. Hermans; MUMC
  • - Maastricht Intensive Care COVID Study Group;
  • Steven J.R. Meex; MUMC
  • Alma M.A. Mingels; MUMC
  • Otto Bekers; MUMC
  • Paul H.M. Savelkoul; MUMC
  • Astrid M.L Oude Lashof; MUMC
  • Joachim E Wildberger; MUMC
  • Fabian H Tijssen; MUMC
  • Wolfgang F.F.A. Buhre; MUMC
  • Jan-Willem E.M. Sels; MUMC
  • Chahinda Ghossein-Doha; MUMC
  • Rob G.H. Driessen; MUMC
  • Pieter L Kubben; MUMC
  • Marcus L.F. Janssen; MUMC
  • Gerry A.F. Nicolaes; MUMC
  • Uli Strauch; MUMC
  • Zafer Geyik; MUMC
  • Thijs S.R. Delnoij; MUMC
  • Kim H.M. Walraven; MUMC
  • Coen D.A. Stehouwer; MUMC
  • Jeanine A.M.C.F. Verbunt; MUMC
  • Walther N.K.A. van Mook; MUMC
  • Susanne van Santen; MUMC
  • Ronny M. Schnabel; MUMC
  • Marcel J.H. Aries; MUMC
  • Marcel C.G. van de Poll; MUMC
  • Dennis C.J.J. Bergmans; MUMC
  • Iwan C.C. van der Horst; MUMC
  • Sander M.J. van Kuijk; MUMC
  • Bas C.T. van Bussel; MUMC
Preprint in English | medRxiv | ID: ppmedrxiv-20080309
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
BackgroundThe 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 populationMechanically ventilated patients admitted to the Intensive Care with SARS- CoV-2 infection. Main messageWe 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. The MaastrICCht cohort 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. ConclusionThe 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 the MaastrICCht cohort. Strengths and limitations of this studyO_LISerial measurements that characterize the disease course of SARS-CoV-2 infection in mechanically ventilated patients C_LIO_LIData collection and analysis according to a predefined protocol C_LIO_LIFlexible, evolving design enabling the study of multiple aspects of SARS-CoV-2 infection in mechanically ventilated patients C_LIO_LISingle centre, including only ICU patients C_LI
License
cc_no
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Etiology study / Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Etiology study / Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
...