IntroductionThe Cellular Oxygen METabolism (COMET) monitor measures mitochondrial oxygentension (mitoPO2) in vivo at the bedside with delayed fluorescence ofmitochondrial protoporphyrin (PpIX). Blocking microcirculatory oxygen supply bypressing the measurement probe on the skin allows the measurement of mitochondrialoxygen consumption (mitoVO2). Combining the static mitochondrial parameter(i.e. mitoPO2) and the dynamic mitochondrial parameter (i.e. mitoVO2) canprovide useful information about different aspects of the mitochondrialfunction in sepsis. However, it is not yet known how these mitochondrialparameters relate to the traditional systemic hemodynamic parameters, such aslactate and central venous oxygen saturation (ScvO2). The first aim of thisstudy is to develop an analysis method to derive a measure for oxygenconsumption. The second aim of this study is to investigate the associationbetween the macrocirculation and the mitochondrial oxygenation, in particularmitoPO2 and mitoVO2, and to investigate the association between these twomitochondrial parameters in critically ill patients with sepsis.  Methods We performed a prospectiveobservational study in critically ill patients with suspicion of sepsis whowere admitted to the Intensive Care Unit of the Leiden Medical UniversityCenter. A patch containing 5-aminolevulinic (ALA) was placed on the anteriorchest wall of the patient to induce PpIX in the mitochondria. MitoPO2 wasmeasured by the oxygen-dependent fluorescence of mitochondrial PpIX. MitoVO2was determined by a dynamic mitoPO2 measurement (taking up a series of mitoPO2samples) while blocking the microcirculatory oxygen supply by applying pressurewith the measurement probe of the COMET monitor. MitoPO2 samples and bloodsamples were collected at the same predefined time points. A sigmoid functionwas used to fit the raw mitoPO2 signal of the dynamic mitoPO2 measurements. Amixed linear model was used to study the association between themacrocirculation and the mitochondrial oxygenation and the association betweenthe mitochondrial oxygenation and oxygen consumption. For this second model, wedivided the mitoPO2 levels into a low, medium and high mitoPO2 group. Results Atotal of 202 mitoPO2 measurements were performed in 41 critically ill patientswith sepsis. However, due to poor signal quality or insufficient fitperformance, 29 (14%) dynamic mitoPO2 measurements of different patients wereexcluded for further analysis. The results of this study showed that highermitoPO2 levels were significantly associated with lower lactate levels (β = -0.002744, p = 0.023). Moreover,mitoPO2 levels of the low mitoPO2 group were significantly associated withhigher mitoVO2 rates (β= 0.103822, p < 0.001). Interestingly, mitoVO2 could not be induced in 31(15%) dynamic mitoPO2 measurements.   ConclusionThese results show that mitoPO2 levels are associated with lactate levels incritically ill patients with sepsis. Mitochondria with low oxygen levels are instress and will switch to anaerobic metabolism leading to lactate production.Moreover, these mitochondria have no reserves and will directly suffer from theacute cessation of the oxygen supply because these mitochondria consume thepresent oxygen faster compared to the mitochondria with higher mitoPO2 levels.

Background and aim: The exact pathophysiology of a COVID-19 infection is still not completely understood, which complicates treatment of the disease. In order to clarify the pathophysiologic mechanisms and optimize treatment methods, monitoring of the sublingual microcirculation may be valuable. From studies in septic patients, we know that microcirculation is impaired and that the microcirculation better describes severity of illness than different macrocirculatory parameters. In this study, we aimed to investigate the changes of the microcirculation and the macrocirculation over time in patients with a COVID-19 infection who were admitted to the ICU and see if this was different in patients who are more or less severely ill based on SOFA score. Materials and methods: Macrocirculatory and microcirculatory measurements were performed as soon as possible after admission to the ICU (T0) and then at 24 and 48 hours (T1 and T2). Patients were divided into subgroups based on the median SOFA score to make a distinction between more and less severely ill patients. To investigate the development of the macrocirculatory and microcirculatory parameters over time and to compare this in patients with different severity of illness, a linear mixed model analysis was performed. Results: 21 COVID-19 patients were included for analysis. The median SOFA score was 8 and no differences were found in clinical and demographic patient characteristics between SOFA groups. Patients in the low SOFA score group had higher PaO2 values and lower lactate levels compared to patients in the high SOFA score group (p = 0.033 and p = 0.007 respectively). In the low SOFA score group, mean PPV and mean FCD were higher compared to the high SOFA score group (p = 0.018 and p = 0.034 respectively). TVD showed a trend towards significance, with higher mean TVD values for patients in the low SOFA score group. Discussion: We found that microcirculation parameters measured at T0 were not significantly different between patient subgroups. Analysis of the course of the microcirculation over 48 hours (T0-T2) however, shows that for less severely ill patients PPV and FCD remain higher than for more severely ill patients. So, there may be a relationship between severity of illness of patients with a COVID-19 infection and the ability to activate microcirculatory compensatory mechanisms in order to draw on reserve capacity in a situation of hypoxemia.