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).

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).

Variación biológica de Creatinina, Cistatina C y Tasa de Filtrado Glomerular Estimada a lo largo de 24 horas / Biological Variation of Creatinine, Cystatin C, and Estimated Glomerular Filtration Rate over 24 hours

Antecedentes: La tasa de filtración glomerular estimada (TFGe) es ampliamente utilizada en la práctica clínica. El presente estudio evaluó la variación biológica intraindividual (CVI) de diferentes ecuaciones de TFGe en sujetos con enfermedad renal crónica (ERC) y sin ERC. Los objetivos de este estudio fueron (a) determinar los perfiles de variación biológica durante 24 horas de creatinina, cistatina C y TFGe y (b) determinar si el CVI de la creatinina, la cistatina C y la TFGe cambia el deterioro de la filtración glomerular. Métodos: Se analizaron muestras de sangre cada hora de 37 individuos (17 sin ERC, 20 con ERC) durante 24 h. La creatinina (método enzimático) y la cistatina C se midieron usando un Cobas 8000 (Roche Diagnostics). La TFGe se estimó utilizando la Modificación de la Dieta en la Enfermedad Renal y la Colaboración de Epidemiología de la Enfermedad Renal Crónica basada en creatinina y/o cistatina C. Las muestras de plasma se almacenaron a -80 °C antes del análisis. Se verificaron los análisis de valores atípicos y de homogeneidad antes de realizar un ANOVA anidado para determinar la variación biológica. Resultados: La CVI de creatinina fue más alta en sujetos sin ERC que en aquellos con ERC (6.4% frente a 2.5%) debido principalmente al efecto más marcado del consumo de carne sobre la variabilidad de creatinina en individuos con concentraciones iniciales de creatinina más bajas. A diferencia de la creatinina, las concentraciones de cistatina C no se vieron afectadas por el consumo de carne. La cistatina C mostró alguna variación rítmica diurna y menor en los sujetos con ERC. Los valores de referencia del cambio (VCR) de todas las ecuaciones de TFGe estuvieron dentro del 13% al 20% en ambos grupos de estudio. Conclusiones: A pesar de las diferencias en el CVI de la creatinina, el CVI y el VRC de las ecuaciones de TFGe fueron relativamente similares para los sujetos con o sin ERC.

Background: Estimated glomerular filtration rate (eGFR) is widely used in clinical practice. This study assessed the within-subject biological variation (CVI) of different eGFR equations in people with chronic kidney disease (CKD) and people without CKD. The aims of this study were (a) to determine the 24-h biological variation profiles of creatinine, cystatin C, and eGFR and (b) to determine whether CVI of creatinine, cystatin C, and eGFR changes on deterioration of glomerular filtration. Methods: Hourly blood samples were analyzed from 37 individuals (17 without CKD, 20 with CKD) during 24 h. Creatinine (enzymatic method) and cystatin C were measured using a Cobas 8000 (Roche Diagnostics). eGFR was estimated using the Modification of Diet in Renal Disease and the Chronic Kidney Disease Epidemiology Collaboration based on creatinine and/or cystatin C. Plasma samples were stored at -80 °C before analysis. Outlier and homogeneity analyses were checked before performing a nested ANOVA to determine biological variation. Results: CVI of creatinine was higher in people without CKD than in those with CKD (6.4% vs. 2.5%) owing primarily to the more profound effect of meat consumption on creatinine variability in individuals with lower baseline creatinine concentrations. Unlike creatinine, cystatin C concentrations were unaffected by meat consumption. Cystatin C showed some diurnal rhythmic variation and less in people with CKD. Reference change values (RCVs) of all eGFR equations were within 13% to 20% in both study groups. Conclusions: Despite differences in CVI of creatinine, the CVI and RCV of the eGFR equations were relatively similar for people with or without CKD.