Meissner, Konrad

[["dc.bibliographiccitation.firstpage","2187"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Intensive Care Medicine"],["dc.bibliographiccitation.lastpage","2196"],["dc.bibliographiccitation.volume","46"],["dc.contributor.author","Chiumello, Davide"],["dc.contributor.author","Busana, Mattia"],["dc.contributor.author","Coppola, Silvia"],["dc.contributor.author","Romitti, Federica"],["dc.contributor.author","Formenti, Paolo"],["dc.contributor.author","Bonifazi, Matteo"],["dc.contributor.author","Pozzi, Tommaso"],["dc.contributor.author","Palumbo, Maria Michela"],["dc.contributor.author","Cressoni, Massimo"],["dc.contributor.author","Herrmann, Peter"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Camporota, Luigi"],["dc.contributor.author","Marini, John J."],["dc.contributor.author","Gattinoni, Luciano"],["dc.date.accessioned","2021-04-14T08:32:14Z"],["dc.date.available","2021-04-14T08:32:14Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1007/s00134-020-06281-2"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83854"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1432-1238"],["dc.relation.issn","0342-4642"],["dc.title","Physiological and quantitative CT-scan characterization of COVID-19 and typical ARDS: a matched cohort study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Immunology"],["dc.bibliographiccitation.volume","12"],["dc.contributor.affiliation","Abusukhun, Murad; \r\n1\r\nDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany"],["dc.contributor.affiliation","Winkler, Martin S.; \r\n3\r\nDepartment of Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, Göttingen, Germany"],["dc.contributor.affiliation","Pöhlmann, Stefan; \r\n4\r\nInfection Biology Unit, German Primate Center-Leibniz Institute for Primate Research, Göttingen, Germany"],["dc.contributor.affiliation","Moerer, Onnen; \r\n3\r\nDepartment of Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, Göttingen, Germany"],["dc.contributor.affiliation","Meissner, Konrad; \r\n3\r\nDepartment of Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, Göttingen, Germany"],["dc.contributor.affiliation","Tampe, Björn; \r\n6\r\nDepartment of Nephrology, University of Göttingen, Göttingen, Germany"],["dc.contributor.affiliation","Hofmann-Winkler, Heike; \r\n4\r\nInfection Biology Unit, German Primate Center-Leibniz Institute for Primate Research, Göttingen, Germany"],["dc.contributor.affiliation","Bauer, Michael; \r\n1\r\nDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany"],["dc.contributor.affiliation","Gräler, Markus H.; \r\n1\r\nDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany"],["dc.contributor.affiliation","Claus, Ralf A.; \r\n1\r\nDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany"],["dc.contributor.author","Abusukhun, Murad"],["dc.contributor.author","Winkler, Martin S."],["dc.contributor.author","Pöhlmann, Stefan"],["dc.contributor.author","Moerer, Onnen"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Tampe, Björn"],["dc.contributor.author","Hofmann-Winkler, Heike"],["dc.contributor.author","Bauer, Michael"],["dc.contributor.author","Gräler, Markus H."],["dc.contributor.author","Claus, Ralf A."],["dc.date.accessioned","2022-02-01T10:31:39Z"],["dc.date.available","2022-02-01T10:31:39Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:20:12Z"],["dc.description.abstract","Effective treatment strategies for severe coronavirus disease (COVID-19) remain scarce. Hydrolysis of membrane-embedded, inert sphingomyelin by stress responsive sphingomyelinases is a hallmark of adaptive responses and cellular repair. As demonstrated in experimental and observational clinical studies, the transient and stress-triggered release of a sphingomyelinase, SMPD1, into circulation and subsequent ceramide generation provides a promising target for FDA-approved drugs. Here, we report the activation of sphingomyelinase-ceramide pathway in 23 intensive care patients with severe COVID-19. We observed an increase of circulating activity of sphingomyelinase with subsequent derangement of sphingolipids in serum lipoproteins and from red blood cells (RBC). Consistent with increased ceramide levels derived from the inert membrane constituent sphingomyelin, increased activity of acid sphingomyelinase (ASM) accurately distinguished the patient cohort undergoing intensive care from healthy controls. Positive correlational analyses with biomarkers of severe clinical phenotype support the concept of an essential pathophysiological role of ASM in the course of SARS-CoV-2 infection as well as of a promising role for functional inhibition with anti-inflammatory agents in SARS-CoV-2 infection as also proposed in independent observational studies. We conclude that large-sized multicenter, interventional trials are now needed to evaluate the potential benefit of functional inhibition of this sphingomyelinase in critically ill patients with COVID-19."],["dc.description.abstract","Effective treatment strategies for severe coronavirus disease (COVID-19) remain scarce. Hydrolysis of membrane-embedded, inert sphingomyelin by stress responsive sphingomyelinases is a hallmark of adaptive responses and cellular repair. As demonstrated in experimental and observational clinical studies, the transient and stress-triggered release of a sphingomyelinase, SMPD1, into circulation and subsequent ceramide generation provides a promising target for FDA-approved drugs. Here, we report the activation of sphingomyelinase-ceramide pathway in 23 intensive care patients with severe COVID-19. We observed an increase of circulating activity of sphingomyelinase with subsequent derangement of sphingolipids in serum lipoproteins and from red blood cells (RBC). Consistent with increased ceramide levels derived from the inert membrane constituent sphingomyelin, increased activity of acid sphingomyelinase (ASM) accurately distinguished the patient cohort undergoing intensive care from healthy controls. Positive correlational analyses with biomarkers of severe clinical phenotype support the concept of an essential pathophysiological role of ASM in the course of SARS-CoV-2 infection as well as of a promising role for functional inhibition with anti-inflammatory agents in SARS-CoV-2 infection as also proposed in independent observational studies. We conclude that large-sized multicenter, interventional trials are now needed to evaluate the potential benefit of functional inhibition of this sphingomyelinase in critically ill patients with COVID-19."],["dc.identifier.doi","10.3389/fimmu.2021.784989"],["dc.identifier.eissn","1664-3224"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/98916"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-3224"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Activation of Sphingomyelinase-Ceramide-Pathway in COVID-19 Purposes Its Inhibition for Therapeutic Strategies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","46"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Clinical Medicine"],["dc.bibliographiccitation.volume","9"],["dc.contributor.affiliation","Mewes, Caspar; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, caspar.mewes@med.uni-goettingen.de"],["dc.contributor.affiliation","Böhnke, Carolin; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, boehnke.carolin@web.de"],["dc.contributor.affiliation","Alexander, Tessa; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, tessa.alexander@med.uni-goettingen.de"],["dc.contributor.affiliation","Büttner, Benedikt; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, benedikt.buettner@med.uni-goettingen.de"],["dc.contributor.affiliation","Hinz, José; \t\t \r\n\t\t Department of Anesthesiology and Intensive Care Medicine, Klinikum Region Hannover, D-30459 Hannover, Germany, jose.hinz@krh.eu"],["dc.contributor.affiliation","Popov, Aron-Frederik; \t\t \r\n\t\t Department of Thoracic and Cardiovascular Surgery, University Medical Center, Eberhard Karls University, D-72076 Tuebingen, Germany, aronf.popov@gmail.com"],["dc.contributor.affiliation","Ghadimi, Michael; \t\t \r\n\t\t Department of General and Visceral Surgery, University Medical Center, Georg August University, D-37075 Goettingen, Germany, mghadim@uni-goettingen.de"],["dc.contributor.affiliation","Beißbarth, Tim; \t\t \r\n\t\t Institute of Medical Bioinformatics, University Medical Center, Georg August University, D-37077 Goettingen, Germany, tim.beissbarth@ams.med.uni-goettingen.de"],["dc.contributor.affiliation","Raddatz, Dirk; \t\t \r\n\t\t Department of Gastroenterology and Gastrointestinal Oncology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, draddat@gwdg.de"],["dc.contributor.affiliation","Meissner, Konrad; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, konrad.meissner@med.uni-goettingen.de"],["dc.contributor.affiliation","Quintel, Michael; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, mquintel@med.uni-goettingen.de"],["dc.contributor.affiliation","Bergmann, Ingo; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, ingo.bergmann@med.uni-goettingen.de"],["dc.contributor.affiliation","Mansur, Ashham; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany, ashham.mansur@med.uni-goettingen.de"],["dc.contributor.author","Mewes, Caspar"],["dc.contributor.author","Böhnke, Carolin"],["dc.contributor.author","Alexander, Tessa"],["dc.contributor.author","Popov, Aron-Frederik"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Büttner, Benedikt"],["dc.contributor.author","Hinz, José"],["dc.contributor.author","Ghadimi, Michael"],["dc.contributor.author","Raddatz, Dirk"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Bergmann, Ingo"],["dc.contributor.author","Mansur, Ashham"],["dc.date.accessioned","2020-04-02T10:35:27Z"],["dc.date.available","2020-04-02T10:35:27Z"],["dc.date.issued","2019-12-24"],["dc.date.updated","2022-02-09T13:22:24Z"],["dc.description.abstract","Septic shock is a frequent life-threatening condition and a leading cause of mortality in intensive care units (ICUs). Previous investigations have reported a potentially protective effect of obesity in septic shock patients. However, prior results have been inconsistent, focused on short-term in-hospital mortality and inadequately adjusted for confounders, and they have rarely applied the currently valid Sepsis-3 definition criteria for septic shock. This investigation examined the effect of obesity on 90-day mortality in patients with septic shock selected from a prospectively enrolled cohort of septic patients. A total of 352 patients who met the Sepsis-3 criteria for septic shock were enrolled in this study. Body-mass index (BMI) was used to divide the cohort into 24% obese (BMI ≥ 30 kg/m2) and 76% non-obese (BMI < 30 kg/m2) patients. Kaplan-Meier survival analysis revealed a significantly lower 90-day mortality (31% vs. 43%; p = 0.0436) in obese patients compared to non-obese patients. Additional analyses of baseline characteristics, disease severity, and microbiological findings outlined further statistically significant differences among the groups. Multivariate Cox regression analysis estimated a significant protective effect of obesity on 90-day mortality after adjustment for confounders. An understanding of the underlying physiologic mechanisms may improve therapeutic strategies and patient prognosis."],["dc.description.sponsorship","University of Goettingen"],["dc.identifier.doi","10.3390/jcm9010046"],["dc.identifier.eissn","2077-0383"],["dc.identifier.pmid","31878238"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17053"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63513"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2077-0383"],["dc.relation.issn","2077-0383"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Favorable 90-Day Mortality in Obese Caucasian Patients with Septic Shock According to the Sepsis-3 Definition"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e66"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Anesthesia & Analgesia"],["dc.bibliographiccitation.lastpage","e67"],["dc.bibliographiccitation.volume","133"],["dc.contributor.author","Harnisch, Lars-Olav"],["dc.contributor.author","von der Brelie, Christian"],["dc.contributor.author","Meissner, Konrad"],["dc.date.accessioned","2021-12-01T09:22:31Z"],["dc.date.available","2021-12-01T09:22:31Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1213/ANE.0000000000005757"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94418"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.issn","0003-2999"],["dc.title","Management of Severe Traumatic Brain Injury"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Pulmonology"],["dc.contributor.author","Stephani, C."],["dc.contributor.author","Herrmann, P."],["dc.contributor.author","Ritter, C.O."],["dc.contributor.author","Lotz, J."],["dc.contributor.author","Saager, L."],["dc.contributor.author","Meissner, K."],["dc.contributor.author","Moerer, O."],["dc.date.accessioned","2021-06-01T10:49:53Z"],["dc.date.available","2021-06-01T10:49:53Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1016/j.pulmoe.2020.12.011"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86451"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.issn","2531-0437"],["dc.title","Anatomic lung recruitment in the early phase of severe COVID-19-pneumonia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","210138"],["dc.bibliographiccitation.issue","162"],["dc.bibliographiccitation.journal","European Respiratory Review"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Gattinoni, Luciano"],["dc.contributor.author","Gattarello, Simone"],["dc.contributor.author","Steinberg, Irene"],["dc.contributor.author","Busana, Mattia"],["dc.contributor.author","Palermo, Paola"],["dc.contributor.author","Lazzari, Stefano"],["dc.contributor.author","Romitti, Federica"],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Marini, John J."],["dc.contributor.author","Camporota, Luigi"],["dc.date.accessioned","2022-04-01T10:02:45Z"],["dc.date.available","2022-04-01T10:02:45Z"],["dc.date.issued","2021"],["dc.description.abstract","Coronavirus disease 2019 (COVID-19) pneumonia is an evolving disease. We will focus on the development of its pathophysiologic characteristics over time, and how these time-related changes determine modifications in treatment. In the emergency department: the peculiar characteristic is the coexistence, in a significant fraction of patients, of severe hypoxaemia, near-normal lung computed tomography imaging, lung gas volume and respiratory mechanics. Despite high respiratory drive, dyspnoea and respiratory rate are often normal. The underlying mechanism is primarily altered lung perfusion. The anatomical prerequisites for PEEP (positive end-expiratory pressure) to work (lung oedema, atelectasis, and therefore recruitability) are lacking. In the high-dependency unit: the disease starts to worsen either because of its natural evolution or additional patient self-inflicted lung injury (P-SILI). Oedema and atelectasis may develop, increasing recruitability. Noninvasive supports are indicated if they result in a reversal of hypoxaemia and a decreased inspiratory effort. Otherwise, mechanical ventilation should be considered to avert P-SILI. In the intensive care unit: the primary characteristic of the advance of unresolved COVID-19 disease is a progressive shift from oedema or atelectasis to less reversible structural lung alterations to lung fibrosis. These later characteristics are associated with notable impairment of respiratory mechanics, increased arterial carbon dioxide tension ( P aCO 2 ), decreased recruitability and lack of response to PEEP and prone positioning."],["dc.identifier.doi","10.1183/16000617.0138-2021"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/105996"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-530"],["dc.relation.eissn","1600-0617"],["dc.relation.issn","0905-9180"],["dc.rights.uri","http://creativecommons.org/licenses/by-nc/4.0/"],["dc.title","COVID-19 pneumonia: pathophysiology and management"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1438"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Intensive Care Medicine"],["dc.bibliographiccitation.lastpage","1440"],["dc.bibliographiccitation.volume","46"],["dc.contributor.author","Gattinoni, Luciano"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Marini, John J."],["dc.date.accessioned","2021-04-14T08:26:12Z"],["dc.date.available","2021-04-14T08:26:12Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1007/s00134-020-06103-5"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81866"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1432-1238"],["dc.relation.issn","0342-4642"],["dc.title","The baby lung and the COVID-19 era"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Physiology"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Herrmann, Peter"],["dc.contributor.author","Busana, Mattia"],["dc.contributor.author","Cressoni, Massimo"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Moerer, Onnen"],["dc.contributor.author","Saager, Leif"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Gattinoni, Luciano"],["dc.date.accessioned","2021-12-01T09:24:03Z"],["dc.date.available","2021-12-01T09:24:03Z"],["dc.date.issued","2021"],["dc.description.abstract","Knowledge of gas volume, tissue mass and recruitability measured by the quantitative CT scan analysis (CT-qa) is important when setting the mechanical ventilation in acute respiratory distress syndrome (ARDS). Yet, the manual segmentation of the lung requires a considerable workload. Our goal was to provide an automatic, clinically applicable and reliable lung segmentation procedure. Therefore, a convolutional neural network (CNN) was used to train an artificial intelligence (AI) algorithm on 15 healthy subjects (1,302 slices), 100 ARDS patients (12,279 slices), and 20 COVID-19 (1,817 slices). Eighty percent of this populations was used for training, 20% for testing. The AI and manual segmentation at slice level were compared by intersection over union (IoU). The CT-qa variables were compared by regression and Bland Altman analysis. The AI-segmentation of a single patient required 5–10 s vs. 1–2 h of the manual. At slice level, the algorithm showed on the test set an IOU across all CT slices of 91.3 ± 10.0, 85.2 ± 13.9, and 84.7 ± 14.0%, and across all lung volumes of 96.3 ± 0.6, 88.9 ± 3.1, and 86.3 ± 6.5% for normal lungs, ARDS and COVID-19, respectively, with a U-shape in the performance: better in the lung middle region, worse at the apex and base. At patient level, on the test set, the total lung volume measured by AI and manual segmentation had a R 2 of 0.99 and a bias −9.8 ml [CI: +56.0/−75.7 ml]. The recruitability measured with manual and AI-segmentation, as change in non-aerated tissue fraction had a bias of +0.3% [CI: +6.2/−5.5%] and −0.5% [CI: +2.3/−3.3%] expressed as change in well-aerated tissue fraction. The AI-powered lung segmentation provided fast and clinically reliable results. It is able to segment the lungs of seriously ill ARDS patients fully automatically."],["dc.description.abstract","Knowledge of gas volume, tissue mass and recruitability measured by the quantitative CT scan analysis (CT-qa) is important when setting the mechanical ventilation in acute respiratory distress syndrome (ARDS). Yet, the manual segmentation of the lung requires a considerable workload. Our goal was to provide an automatic, clinically applicable and reliable lung segmentation procedure. Therefore, a convolutional neural network (CNN) was used to train an artificial intelligence (AI) algorithm on 15 healthy subjects (1,302 slices), 100 ARDS patients (12,279 slices), and 20 COVID-19 (1,817 slices). Eighty percent of this populations was used for training, 20% for testing. The AI and manual segmentation at slice level were compared by intersection over union (IoU). The CT-qa variables were compared by regression and Bland Altman analysis. The AI-segmentation of a single patient required 5–10 s vs. 1–2 h of the manual. At slice level, the algorithm showed on the test set an IOU across all CT slices of 91.3 ± 10.0, 85.2 ± 13.9, and 84.7 ± 14.0%, and across all lung volumes of 96.3 ± 0.6, 88.9 ± 3.1, and 86.3 ± 6.5% for normal lungs, ARDS and COVID-19, respectively, with a U-shape in the performance: better in the lung middle region, worse at the apex and base. At patient level, on the test set, the total lung volume measured by AI and manual segmentation had a R 2 of 0.99 and a bias −9.8 ml [CI: +56.0/−75.7 ml]. The recruitability measured with manual and AI-segmentation, as change in non-aerated tissue fraction had a bias of +0.3% [CI: +6.2/−5.5%] and −0.5% [CI: +2.3/−3.3%] expressed as change in well-aerated tissue fraction. The AI-powered lung segmentation provided fast and clinically reliable results. It is able to segment the lungs of seriously ill ARDS patients fully automatically."],["dc.identifier.doi","10.3389/fphys.2021.676118"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94836"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-042X"],["dc.rights","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Using Artificial Intelligence for Automatic Segmentation of CT Lung Images in Acute Respiratory Distress Syndrome"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","21"],["dc.bibliographiccitation.journal","Intensive Care Medicine Experimental"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Bonifazi, Matteo"],["dc.contributor.author","Romitti, Federica"],["dc.contributor.author","Busana, Mattia"],["dc.contributor.author","Palumbo, Maria Michela"],["dc.contributor.author","Steinberg, Irene"],["dc.contributor.author","Gattarello, Simone"],["dc.contributor.author","Palermo, Paola"],["dc.contributor.author","Saager, Leif"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Chiumello, Davide"],["dc.contributor.author","Gattinoni, Luciano"],["dc.date.accessioned","2022-07-29T10:03:15Z"],["dc.date.available","2022-07-29T10:03:15Z"],["dc.date.issued","2021-04-19"],["dc.description.abstract","The physiological dead space is a strong indicator of severity and outcome of acute respiratory distress syndrome (ARDS). The \"ideal\" alveolar PCO2, in equilibrium with pulmonary capillary PCO2, is a central concept in the physiological dead space measurement. As it cannot be measured, it is surrogated by arterial PCO2 which, unfortunately, may be far higher than ideal alveolar PCO2, when the right-to-left venous admixture is present. The \"ideal\" alveolar PCO2 equals the end-tidal PCO2 (PETCO2) only in absence of alveolar dead space. Therefore, in the perfect gas exchanger (alveolar dead space = 0, venous admixture = 0), the PETCO2/PaCO2 is 1, as PETCO2, PACO2 and PaCO2 are equal. Our aim is to investigate if and at which extent the PETCO2/PaCO2, a comprehensive meter of the \"gas exchanger\" performance, is related to the anatomo physiological characteristics in ARDS."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1186/s40635-021-00377-9"],["dc.identifier.pmid","33871738"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112553"],["dc.language.iso","en"],["dc.relation.issn","2197-425X"],["dc.rights","CC BY 4.0"],["dc.title","End-tidal to arterial PCO2 ratio: a bedside meter of the overall gas exchanger performance"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","155"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Lier, Martin"],["dc.contributor.author","Nessler, Stefan"],["dc.contributor.author","Stadelmann, Christine"],["dc.contributor.author","Pressler, Meike"],["dc.contributor.author","Saager, Leif"],["dc.contributor.author","Moerer, Onnen"],["dc.contributor.author","Roessler, Markus"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Winkler, Martin S."],["dc.date.accessioned","2021-11-25T11:12:41Z"],["dc.date.accessioned","2022-08-18T12:33:00Z"],["dc.date.available","2021-11-25T11:12:41Z"],["dc.date.available","2022-08-18T12:33:00Z"],["dc.date.issued","2021-10-30"],["dc.date.updated","2022-07-29T12:17:57Z"],["dc.description.abstract","Abstract\r\n \r\n Background\r\n Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a highly contagious airborne virus inducing pandemic coronavirus disease 2019 (COVID-19). This is most relevant for medical staff working under harmful conditions in emergencies often dealing with patients and an undefined SARS-CoV-2 status. We aimed to measure the effect of high-class filtering facepieces (FFP) in emergency medical service (EMS) staff by analyzing seroprevalence and history of positive polymerase chain reaction (PCR) for SARS-CoV-2.\r\n \r\n \r\n Method\r\n This observational cohort study included workers in EMS, who were compared with hospital staff (HS) and staff, which was not directly involved in patient care (NPC). All direct patient contacts of EMS workers were protected by FFP2/N95 (filtering face piece protection class 2/non-oil-based particulates filter efficiency 95%) masks, whereas HS was protected by FFP2/N95 exclusively when a patient had a proven or suspected SARS-CoV-2 infection. NPC was not protected by higher FFP. The seroprevalence of SARS-CoV-2 antibodies was analyzed by immunoassay by end of 12/2020 together with the history of a positive PCR. In addition, a self-assessment was performed regarding the quantity of SARS-CoV-2 positive contacts, about flu symptoms and personal belief of previous COVID-19 infections.\r\n \r\n \r\n Results\r\n The period in which contact to SARS-CoV-2 positive patients has been possible was 10 months (March to December 2020)—with 54,681 patient contacts documented for EMS—either emergencies (n = 33,241) or transportation services (n = 21,440). Seven hundred-thirty (n = 730) participants were included into the study (n = EMS: 325, HS: 322 and NPC: 83). The analysis of the survey showed that the exposure to patients with an unknown and consecutive positive SARS-CoV-2 result was significantly higher for EMS when compared to HS (EMS 55% vs. HS 30%, p = 0.01). The incidence of a SARS-CoV-2 infection in our cohort was 1.2% (EMS), 2.2% (HS) and 2.4% (NPC) within the three groups (ns) and lowest in EMS. Furthermore, the belief of previous COVID-19 was significant higher in EMS (19% vs. 10%),\r\n \r\n \r\n Conclusion\r\n The consistent use of FFP2/N95 in EMS is able to prevent work-related SARS-CoV-2 infections in emergency situations. The significance of physical airway protection in exposed medical staff is still relevant especially under the aspect of new viral variants and unclear effectiveness of new vaccines.\r\n \r\n \r\n Graphical Abstract"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.citation","Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. 2021 Oct 30;29(1):155"],["dc.identifier.doi","10.1186/s13049-021-00969-0"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/93536"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112914"],["dc.language.iso","en"],["dc.publisher","BioMed Central"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)"],["dc.subject","Personal protection equipment"],["dc.subject","Filtering facepiece"],["dc.subject","FFP2"],["dc.subject","N95"],["dc.subject","SARS-CoV-2"],["dc.subject","Seroprevalence"],["dc.subject","Emergency medical services"],["dc.title","High class filtering facepiece (FFP) are fundamental and effective in protection of emergency health care workers: an observational cohort study in a German community"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]