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)
Joachim Wildberger,
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,
Steven JR Meex,
Alma Mingels,
Otto Bekers,
Paul Savelkoul,
Astrid M L Oude Lashof,
Fabian H Tijssen,
Wolfgang Buhre,
Jan-Willem E M Sels,
Chahinda Ghossein-Doha,
Rob G H Driessen,
Pieter L Kubben,
Gerry A F Nicolaes,
Ulrich Strauch,
Zafer Geyik,
Thijs S R Delnoij,
Kim H M Walraven,
Coen DA Stehouwer,
Jeanine A M C F Verbunt,
Walther N.K.A Van Mook,
Susanne van Santen,
Ronny M Schnabel,
Marcel C G van de Poll,
Dennis Bergmans,
Sander van Kuijk,
Bas C T van Bussel
Affiliations
Joachim Wildberger
Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
Jeanette Tas
4 Intensive Care, Maastricht Universitair Medisch Centrum+, Maastricht, The Netherlands
Rob J J van Gassel
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Serge J H Heines
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Mark M G Mulder
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Nanon F L Heijnen
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Melanie J Acampo-de Jong
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Julia L M Bels
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Frank C Bennis
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Marcel Koelmann
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Rald V M Groven
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Moniek A Donkers
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Frank van Rosmalen
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Ben J M Hermans
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Steven JR Meex
Department of Clinical Chemistry, Central Diagnostic Laboratory, Maastricht University Medical Center+, Maastricht, The Netherlands
Alma Mingels
Department of Clinical Chemistry, Central Diagnostic Laboratory, Maastricht University Medical Center+, Maastricht, The Netherlands
Otto Bekers
Department of Clinical Chemistry, Central Diagnostic Laboratory, Maastricht University Medical Center+, Maastricht, The Netherlands
Paul Savelkoul
Department of Medical Microbiology, Maastricht University Medical Centre+, Maastricht, The Netherlands
Astrid M L Oude Lashof
Department of Medical Microbiology, Maastricht University Medical Centre+, Maastricht, The Netherlands
Fabian H Tijssen
Department of Anesthesiology, Maastricht University Medical Center+, Maastricht, The Netherlands
Wolfgang Buhre
Department of Anesthesiology, Maastricht University Medical Center+, Maastricht, The Netherlands
Jan-Willem E M Sels
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Chahinda Ghossein-Doha
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Rob G H Driessen
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Pieter L Kubben
Department of Neurosurgery, Maastricht University Medical Centre+, Maastricht, The Netherlands
Gerry A F Nicolaes
Department of Biochemistry, Maastricht University Medical Center+, Maastricht, The Netherlands
Ulrich Strauch
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Zafer Geyik
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Thijs S R Delnoij
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Kim H M Walraven
Department of Pulmonology, Maastricht University Medical Center+, Maastricht, The Netherlands
Coen DA Stehouwer
Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
Jeanine A M C F Verbunt
Department of Rehabilitation Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
Walther N.K.A Van Mook
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Susanne van Santen
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Ronny M Schnabel
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Marcel C G van de Poll
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Dennis Bergmans
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Sander van Kuijk
Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center+, Maastricht, The Netherlands
Bas C T van Bussel
Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
Introduction The course of the disease in 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 a SARS-CoV-2 infection.Methods and analysis Mechanically ventilated patients admitted to the intensive care with a SARS-CoV-2 infection will be included. We will collect clinical variables, vital parameters, laboratory variables, mechanical ventilator settings, chest electrical impedance tomography, ECGs, echocardiography as well as other imaging modalities to assess heterogeneity of the course of a SARS-CoV-2 infection in critically ill patients. The MaastrICCht 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. 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 study design is expected to enhance aetiological, diagnostic and prognostic understanding of the disease. This paper describes the design of the MaastrICCht.Ethics and dissemination Ethical approval has been obtained from the medical ethics committee (Medisch Ethische Toetsingscommissie 2020-1565/3 00 523) of the Maastricht University Medical Centre+ (Maastricht UMC+), which will be performed based on the Declaration of Helsinki. During the pandemic, the board of directors of Maastricht UMC+ adopted a policy to inform patients and ask their consent to use the collected data and to store serum samples for COVID-19 research purposes. All study documentation will be stored securely for fifteen years after recruitment of the last patient. The results will be published in peer-reviewed academic journals, with a preference for open access journals, while particularly considering deposition of the manuscripts on a preprint server early.Trial registration number The Netherlands Trial Register (NL8613).