4.2 Article

Optimizing PEEP by Electrical Impedance Tomography in a Porcine Animal Model of ARDS

Journal

RESPIRATORY CARE
Volume 62, Issue 3, Pages 340-349

Publisher

DAEDALUS ENTERPRISES INC
DOI: 10.4187/respcare.05060

Keywords

ARDS; individualized mechanical ventilation; double-hit animal model of ARDS; electrical impedance tomography; global inhomogeneity index; hyperdistension index

Funding

  1. Medical Faculty of RWTH Aachen University (START, Rotationsstelle)

Ask authors/readers for more resources

BACKGROUND: Mechanical ventilation is necessary in diverse clinical circumstances. Especially in the context of ARDS, so-called protective ventilation strategies must be followed. It is already known that PEEP might enhance oxygenation in ARDS. However, determining the optimal PEEP settings in clinical routines is challenging. Electrical impedance tomography (EIT) is a promising technique with which to adjust ventilator settings. We investigated whether the combination of different EIT parameters, namely the global inhomogeneity and hyperdistension indices, may lead to a feasible and safe PEEP setting. METHODS: ARDS was induced by a double-hit approach in 18 pigs weighing, on average, 34.8 3.97 kg. First, a surfactant washout was conducted; second, the tidal volume was increased to 20 mL/kg body weight, triggering a ventilator- induced lung injury. Subsequently, pigs were randomized to either the EIT or control groups, followed by an observation time of 24 h. In the control group, PEEP was set according to the ARDS network table. In the EIT group, a PEEP trial was conducted to determine an appropriate PEEP. At defined time points, hemodynamic measures, ventilation parameters, and EIT recordings, as well as blood samples, were taken. After euthanization, lungs were removed for subsequent histopathological and cytological examination. RESULTS: The combination of PEEP and FIO2 differed between groups, although respiratory compliance, gas exchange, and histopathological examinations, as well as hemodynamics, did not show any statistical differences between the EIT and control groups. However, in the control group, the PEEP/FIO2 settings followed the given coupling; in the EIT group, divergent individual combinations of PEEP and FIO2 ranges occurred. CONCLUSIONS: PEEP setting by EIT facilitates a more individual ventilation therapy. However, in our relatively short ARDS observation period of 24 h, no significant differences appeared in common clinical parameters compared with a control group.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Civil

Unobtrusive Measurement of Physiological Features Under Simulated and Real Driving Conditions

Lennart Leicht, Marian Walter, Marcel Mathissen, Christoph Hoog Antink, Daniel Teichmann, Steffen Leonhardt

Summary: This study evaluates unobtrusive methods for measuring physiological features for driver state estimation. The results show that these methods can reliably monitor heart rate and respiration rate under laboratory and real driving conditions, but there are motion artifacts in urban driving scenarios.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Chemistry, Analytical

Determination of the Geometric Parameters of Electrode Systems for Electrical Impedance Myography: A Preliminary Study

Andrey Briko, Vladislava Kapravchuk, Alexander Kobelev, Alexey Tikhomirov, Ahmad Hammoud, Mugeb Al-Harosh, Steffen Leonhardt, Chuong Ngo, Yury Gulyaev, Sergey Shchukin

Summary: This article focuses on the choice of electrode systems sizes in electrical impedance myography and proposes a new method to determine acceptable sizes for different body parts. The research results can help improve the expressiveness and reproducibility of electrical impedance signals in myography.

SENSORS (2022)

Article Medicine, General & Internal

Comparison of the Hemocompatibility of an Axial and a Centrifugal Left Ventricular Assist Device in an In Vitro Test Circuit

Patrick Borchers, Patrick Winnersbach, Sandra Kraemer, Christian Beckers, Eva Miriam Buhl, Steffen Leonhardt, Rolf Rossaint, Marian Walter, Thomas Breuer, Christian Bleilevens

Summary: This study found that axial-flow pumps may induce stronger hemolysis compared to centrifugal pumps, along with larger amounts of circulating extracellular vesicles and a stronger activation of platelets, potentially leading to adverse events in left ventricular assist device application.

JOURNAL OF CLINICAL MEDICINE (2022)

Article Biochemistry & Molecular Biology

IRAK2 Downregulation in Triple-Negative Breast Cancer Cells Decreases Cellular Growth In Vitro and Delays Tumour Progression in Murine Models

Francesca Ferraro, Anja Steinle, Harini Narasimhan, Andreas Bleilevens, Paula-Marie Stolzenberg, Till Braunschweig, Elmar Stickeler, Jochen Maurer

Summary: Breast cancer stem cells (BCSCs) play a crucial role in tumor recurrence and therapy resistance. Researchers have successfully established primary BCSC cultures from triple-negative breast cancer (TNBC) patients, providing an excellent model for studying breast cancer treatment options. IRAK2 downregulation shows promising results in inhibiting the aggressive growth and pathways involved in TNBC progression.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Engineering, Mechanical

Composite performance of variable stiffness actuator for exoskeleton administrated via impedance control and disturbance observer

Lin Liu, Steffen Leonhardt, Lukas Bergmann, Berno J. E. Misgeld

Summary: This paper presents an integration of reducing the output impedance and the vibration at the trajectory tracking into one variable stiffness actuator (VSA) system. The VSA operates within the cascade impedance control framework with the unknown input observer (UIO) in the inner torque control loop. By utilizing gain-scheduled UIO and the low and high physical stiffness of VSA, the paper achieves low-output impedance and steady trajectory tracking.

MECHANISM AND MACHINE THEORY (2023)

Article Chemistry, Analytical

Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset

Simon Lyra, Arian Mustafa, Joeran Rixen, Stefan Borik, Markus Lueken, Steffen Leonhardt

Summary: This study investigates the application of a conditional generative adversarial network to augment limited neonatal image datasets by using edge detection frames from neonates to generate RGB images. The quality of the generated RGB images was evaluated using a multistage survey and the FID score. The promising results indicate the potential of conditional generative adversarial networks for training and application in neonatal care.

SENSORS (2023)

Article Computer Science, Artificial Intelligence

The D-Bar Algorithm Fusing Electrical Impedance Tomography with A Priori Radar Data: A Hands-On Analysis

Joeran Rixen, Steffen Leonhardt, Jochen Moll, Duy Hai Nguyen, Chuong Ngo

Summary: Electrical impedance tomography (EIT) is limited in spatial resolution due to sensitivity to noise. We investigate a technique to improve EIT reconstructions by incorporating a priori information into the D-Bar algorithm. Our paper aims to explain the behavior and implementation of the D-Bar algorithm, as well as the effect of adding prior information from a radar setup. We analyze different parameters of the reconstruction algorithm using GREIT figures of merit and find that even limited prior information can significantly improve reconstruction quality.

ALGORITHMS (2023)

Article Automation & Control Systems

Lower Limb Exoskeleton With Compliant Actuators: Design, Modeling, and Human Torque Estimation

Lukas Bergmann, Oliver Lueck, Daniel Voss, Philipp Buschermoehle, Lin Liu, Steffen Leonhardt, Chuong Ngo

Summary: This study presents the design of a new lower limb exoskeleton with variable stiffness actuators for compliant coupling. By using a nonlinear state estimation method, the subject's motion intention can be accurately estimated, providing more robust results.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2023)

Article Biochemistry & Molecular Biology

Cirrhotic Cardiomyopathy Following Bile Duct Ligation in Rats-A Matter of Time?

Moritz Uhlig, Marc Hein, Moriz A. Habigt, Rene H. Tolba, Till Braunschweig, Marius J. Helmedag, Melissa Arici, Alexander Theissen, Axel Klinkenberg, Uwe Klinge, Mare Mechelinck

Summary: Cirrhotic patients often experience cirrhotic cardiomyopathy (CCM), which is studied in detail through animal models of bile duct ligation (BDL) and a second surgery. The study reveals delayed adaptability, impaired contractility at rest, reduced contractile reserve, increased creatine and transaminase levels, myocardial fibrosis, macrophage infiltration, systemic inflammation, altered expression of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1a), and increased expression of caspase-3. Structural changes in the myocardium are observed after 8 weeks. Transient myocardial insufficiency and secondary organ dysfunction occur after the second surgery.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Biochemistry & Molecular Biology

KIT D816V Mast Cells Derived from Induced Pluripotent Stem Cells Recapitulate Systemic Mastocytosis Transcriptional Profile

Marcelo A. S. de Toledo, Xuhuang Fu, Tiago Maie, Eva M. Buhl, Katrin Goetz, Susanne Schmitz, Anne Kaiser, Peter Boor, Till Braunschweig, Nicolas Chatain, Ivan G. Costa, Tim H. Bruemmendorf, Steffen Koschmieder, Martin Zenke

Summary: In this study, human induced pluripotent stem cells were differentiated into mast cells, which exhibited characteristics of systemic mastocytosis disease. These cells can be used for disease modeling and drug screening.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Chemistry, Analytical

A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver's Vital Signs

Onno Linschmann, Durmus Umutcan Uguz, Bianca Romanski, Immo Baarlink, Pujitha Gunaratne, Steffen Leonhardt, Marian Walter, Markus Lueken

Summary: With the increasing level of automation in vehicles, it is crucial to have robust driver monitoring systems to ensure driver intervention at any time. A portable cushion with multiple sensors is presented in this paper to monitor the heart and respiratory rates of a vehicle driver. The initial study with twenty participants in a driving simulator showed promising results in accurately measuring heart and respiratory rates, as well as the potential for monitoring changes in the electrocardiogram. These measurements can be used to detect drowsiness, stress, and predict cardiovascular diseases.

SENSORS (2023)

Article Chemistry, Analytical

Automated Signal Quality Assessment of Single-Lead ECG Recordings for Early Detection of Silent Atrial Fibrillation

Markus Lueken, Michael Gramlich, Steffen Leonhardt, Nikolaus Marx, Matthias D. Zink

Summary: Atrial fibrillation (AF) is a common cardiac disorder that often goes undetected due to its asymptomatic and paroxysmal nature. Large-scale screenings can help identify silent AF early and prevent complications. This study presents a machine learning-based algorithm for assessing the signal quality of hand-held diagnostic ECG devices to improve accuracy in detecting AF.

SENSORS (2023)

Article Medicine, General & Internal

Evaluation of Different Contrast Agents for Regional Lung Perfusion Measurement Using Electrical Impedance Tomography: An Experimental Pilot Study

Thomas Muders, Benjamin Hentze, Steffen Leonhardt, Christian Putensen

Summary: Monitoring regional blood flow distribution in the lungs is useful for optimizing ventilation therapy. Electrical impedance tomography (EIT) can measure regional lung perfusion using different contrast agents. The study evaluated the suitability of five clinically approved solutions as EIT contrast agents. NaCl 5.85% and sodium-bicarbonate 8.4% showed the best results, while Iomeprol and Glucose 5% also produced usable signals. Isotonic balanced crystalloid solution was not effective. Further research is needed to determine optimal doses and balance reliability with potential side effects.

JOURNAL OF CLINICAL MEDICINE (2023)

Article Cell Biology

A Deep-Learning-Computed Cancer Score for the Identification of Human Hepatocellular Carcinoma Area Based on a Six-Colour Multiplex Immunofluorescence Panel

Axel Dievernich, Johannes Stegmaier, Pascal Achenbach, Svetlana Warkentin, Till Braunschweig, Ulf Peter Neumann, Uwe Klinge

Summary: Liver cancer, particularly hepatocellular carcinoma (HCC), is a common and deadly form of cancer worldwide. Numerous studies have examined the impact of immune infiltrates on cancer patient prognosis, but accurately delineating the cancer area has been challenging due to heterogeneity and operator variability. However, advancements in multiplex analyses and machine learning techniques offer potential for objective identification of cancer areas and analysis of prognostic immune parameters.

CELLS (2023)

Article Engineering, Mechanical

Closed-Loop FES Control of a Hybrid Exoskeleton during Sit-to-Stand Exercises: Concept and First Evaluation

Chenglin Lyu, Pedro Truppel Morim, Bernhard Penzlin, Felix Roehren, Lukas Bergmann, Philip von Platen, Cornelius Bollheimer, Steffen Leonhardt, Chuong Ngo

Summary: This study proposes a hybrid exoskeleton approach combining a traditional exoskeleton and functional electrical stimulation (FES) for the rehabilitation of paralysis caused by a stroke or a spinal cord injury. The closed-loop FES control strategy is demonstrated to be feasible for training and shows improved performance compared to open-loop control, with reduced muscle fatigue and increased robustness.

ACTUATORS (2023)

No Data Available