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Browsing by Author "Marx, Gernot"

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    Die digitalen Fortschrittshubs Gesundheit – Gemeinsame Datennutzung über die Universitätsmedizin hinaus
    (2024)
    Krefting, Dagmar  
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    Bavendiek, Udo
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    Fischer, Joachim
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    Marx, Gernot
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    Molinnus, Denise
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    Panholzer, Torsten
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    Prokosch, Hans-Ulrich
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    Leb, Ines
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    Weidner, Jens
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    Sedlmayr, Martin
    Zusammenfassung Die digitalen Fortschrittshubs Gesundheit pilotieren die Erweiterbarkeit der Konzepte und Lösungen der Medizininformatik-Initiative für eine Verbesserung der regionalen Gesundheitsversorgung und -forschung. Die 6 geförderten Projekte adressieren dabei unterschiedliche Erkrankungen, Stationen in der regionalen Gesundheitsversorgung und Methoden der institutionsübergreifenden Datenverknüpfung und -nutzung. Trotz der Verschiedenheit der Szenarien und regionalen Voraussetzungen sind die technischen, regulativen und organisatorischen Herausforderungen und Hürden, auf die die Fortschrittshubs bei der konkreten Implementierung der Lösungen treffen, oft ähnlich. Daraus ergeben sich teilweise gemeinsame Lösungsansätze, teilweise aber auch Forderungen an die Politik, die über das aus Sicht der Fortschrittshubs begrüßenswerte Gesundheitsdatennutzungsgesetz hinausgehen. In diesem Beitrag stellen wir die digitalen Fortschrittshubs vor und diskutieren Erreichtes, Herausforderungen und Lösungsansätze, die eine gemeinsame Nutzung von Daten aus den Universitätskliniken und den nichtakademischen Institutionen des Gesundheitssystems ermöglichen und auch nachhaltig zu einer Verbesserung von medizinischer Versorgung und Forschung beitragen können.
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    Do WiFi-based hand hygiene dispenser systems increase hand hygiene compliance?
    (2018)
    Scheithauer, Simone  
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    Bickenbach, Johannes
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    Heisel, Hans
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    Fehling, Patrick
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    Marx, Gernot
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    Lemmen, Sebastian
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    Effect of Empirical Treatment With Moxifloxacin and Meropenem vs Meropenem on Sepsis-Related Organ Dysfunction in Patients With Severe Sepsis A Randomized Trial
    (Amer Medical Assoc, 2012)
    Brunkhorst, Frank M.
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    Oppert, Michael
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    Marx, Gernot
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    Bloos, Frank
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    Ludewig, Katrin
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    Putensen, Christian
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    Nierhaus, Axel
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    Jaschinski, Ulrich
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    Meier-Hellmann, Andreas
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    Weyland, Andreas
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    Gruendling, Matthias
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    Moerer, Onnen  
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    Riessen, Reimer
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    Seibel, Armin
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    Ragaller, Maximilian
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    Buechler, Markus W.
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    John, Stefan
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    Bach, Friedhelm
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    Spies, Claudia
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    Reill, Lorenz
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    Fritz, Harald
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    Kiehntopf, Michael
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    Kuhnt, Evelyn
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    Bogatsch, Holger
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    Engel, Christoph  
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    Loeffler, Markus
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    Kollef, Marin H.
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    Reinhart, Konrad
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    Welte, Tobias
    Context Early appropriate antimicrobial therapy leads to lower mortality rates associated with severe sepsis. The role of empirical combination therapy comprising at least 2 antibiotics of different mechanisms remains controversial. Objective To compare the effect of moxifloxacin and meropenem with the effect of meropenem alone on sepsis-related organ dysfunction. Design, Setting, and Patients A randomized, open-label, parallel-group trial of 600 patients who fulfilled criteria for severe sepsis or septic shock (n=298 for monotherapy and n=302 for combination therapy). The trial was performed at 44 intensive care units in Germany from October 16, 2007, to March 23, 2010. The number of evaluable patients was 273 in the monotherapy group and 278 in the combination therapy group. Interventions Intravenous meropenem (1 g every 8 hours) and moxifloxacin (400 mg every 24 hours) or meropenem alone. The intervention was recommended for 7 days and up to a maximum of 14 days after randomization or until discharge from the intensive care unit or death, whichever occurred first. Main Outcome Measure Degree of organ failure (mean of daily total Sequential Organ Failure Assessment [SOFA] scores over 14 days; score range: 0-24 points with higher scores indicating worse organ failure); secondary outcome: 28-day and 90-day all-cause mortality. Survivors were followed up for 90 days. Results Among 551 evaluable patients, there was no statistically significant difference in mean SOFA score between the meropenem and moxifloxacin group (8.3 points; 95% CI, 7.8-8.8 points) and the meropenem alone group (7.9 points; 95% CI, 7.5-8.4 points) (P=.36). The rates for 28-day and 90-day mortality also were not statistically significantly different. By day 28, there were 66 deaths (23.9%; 95% CI, 19.0%-29.4%) in the combination therapy group compared with 59 deaths (21.9%; 95% CI, 17.1%-27.4%) in the monotherapy group (P=.58). By day 90, there were 96 deaths (35.3%; 95% CI, 29.6%-41.3%) in the combination therapy group compared with 84 deaths (32.1%; 95% CI, 26.5%-38.1%) in the monotherapy group (P=.43). Conclusion Among adult patients with severe sepsis, treatment with combined meropenem and moxifloxacin compared with meropenem alone did not result in less organ failure.
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    Effect of Regional Citrate Anticoagulation vs Systemic Heparin Anticoagulation During Continuous Kidney Replacement Therapy on Dialysis Filter Life Span and Mortality Among Critically Ill Patients With Acute Kidney Injury
    (2020)
    Zarbock, Alexander
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    Küllmar, Mira
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    Kindgen-Milles, Detlef
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    Wempe, Carola
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    Gerss, Joachim
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    Brandenburger, Timo
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    Dimski, Thomas
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    Tyczynski, Bartosz
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    Jahn, Michael
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    Mülling, Nils
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    Mehrländer, Martin
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    Rosenberger, Peter
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    Marx, Gernot
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    Simon, Tim Philipp
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    Jaschinski, Ulrich
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    Deetjen, Philipp
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    Putensen, Christian
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    Schewe, Jens-Christian
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    Kluge, Stefan
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    Jarczak, Dominik
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    Slowinski, Torsten
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    Bodenstein, Marc
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    Meybohm, Patrick
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    Wirtz, Stefan
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    Moerer, Onnen  
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    Kortgen, Andreas
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    Simon, Philipp  
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    Bagshaw, Sean M.
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    Kellum, John A.
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    Meersch, Melanie
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    Effect of Sodium Selenite Administration and Procalcitonin-Guided Therapy on Mortality in Patients With Severe Sepsis or Septic Shock A Randomized Clinical Trial
    (Amer Medical Assoc, 2016)
    Bloos, Frank
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    Trips, Evelyn
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    Nierhaus, Axel
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    Briegel, Josef
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    Heyland, Daren K.
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    Jaschinski, Ulrich
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    Moerer, Onnen  
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    Weyland, Andreas
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    Marx, Gernot
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    Gruendling, Matthias
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    Kluge, Stefan
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    Kaufmann, Ines
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    Ott, Klaus
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    Quintel, Michael  
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    Jelschen, Florian
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    Meybohm, Patrick
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    Rademacher, Sibylle
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    Meier-Hellmann, Andreas
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    Utzolino, Stefan
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    Kaisers, Udo X.
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    Putensen, Christian
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    Elke, Gunnar
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    Ragaller, Maximilian
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    Gerlach, Herwig
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    Ludewig, Katrin
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    Kiehntopf, Michael
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    Bogatsch, Holger
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    Engel, Christoph  
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    Brunkhorst, Frank M.
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    Loeffler, Markus
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    Reinhart, Konrad
    IMPORTANCE High-dose intravenous administration of sodium selenite has been proposed to improve outcome in sepsis by attenuating oxidative stress. Procalcitonin-guided antimicrobial therapy may hasten the diagnosis of sepsis, but effect on outcome is unclear. OBJECTIVE To determine whether high-dose intravenous sodium selenite treatment and procalcitonin-guided anti-infectious therapy in patients with severe sepsis affect mortality. DESIGN, SETTING, AND PARTICIPANTS The Placebo-Controlled Trial of Sodium Selenite and Procalcitonin Guided Antimicrobial Therapy in Severe Sepsis (SISPCT), a multicenter, randomized, clinical, 2 x 2 factorial trial performed in 33 intensive care units in Germany, was conducted from November 6, 2009, to June 6, 2013, including a 90-day follow-up period. INTERVENTIONS Patients were randomly assigned to receive an initial intravenous loading dose of sodium selenite, 1000 mu g, followed by a continuous intravenous infusion of sodium selenite, 1000 mu g, daily until discharge from the intensive care unit, but not longer than 21 days, or placebo. Patients also were randomized to receive anti-infectious therapy guided by a procalcitonin algorithm or without procalcitonin guidance. MAIN OUTCOMES AND MEASURES The primary end point was 28-day mortality. Secondary outcomes included 90-day all-cause mortality, intervention-free days, antimicrobial costs, antimicrobial-free days, and secondary infections. RESULTS Of 8174 eligible patients, 1089 patients (13.3%) with severe sepsis or septic shock were included in an intention-to-treat analysis comparing sodium selenite (543 patients [49.9%]) with placebo (546 [50.1%]) and procalcitonin guidance (552 [50.7%]) vs no procalcitonin guidance (537 [49.3%]). The 28-day mortality rate was 28.3%(95% CI, 24.5%-32.3%) in the sodium selenite group and 25.5%(95% CI, 21.8%-29.4%) (P =.30) in the placebo group. There was no significant difference in 28-day mortality between patients assigned to procalcitonin guidance (25.6%[95% CI, 22.0%-29.5%]) vs no procalcitonin guidance (28.2%[95% CI, 24.4%-32.2%]) (P =.34). Procalcitonin guidance did not affect frequency of diagnostic or therapeutic procedures but did result in a 4.5% reduction of antimicrobial exposure. CONCLUSIONS AND RELEVANCE Neither high-dose intravenous administration of sodium selenite nor anti-infectious therapy guided by a procalcitonin algorithm was associated with an improved outcome in patients with severe sepsis. These findings do not support administration of high-dose sodium selenite in these patients; the application of a procalcitonin-guided algorithm needs further evaluation.
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    Intravascular volume therapy in adults
    (2016)
    Marx, Gernot
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    Schindler, Achim W.
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    Mosch, Christoph
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    Albers, Joerg
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    Bauer, Michael
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    Gnass, Irmela
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    Hobohm, Carsten
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    Janssens, Uwe
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    Kluge, Stefan
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    Kranke, Peter
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    Maurer, Tobias
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    Merz, Waltraut
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    Neugebauer, Edmund
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    Quintel, Michael  
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    Senninger, Norbert
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    Trampisch, Hans-Joachim
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    Waydhas, Christian
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    Wildenauer, Rene
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    Zacharowski, Kai
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    Eikermann, Michaela
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    Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort
    (BioMed Central, 2021-08-17)
    Magunia, Harry
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    Lederer, Simone
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    Verbuecheln, Raphael
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    Gilot, Bryant Joseph
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    Koeppen, Michael
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    Haeberle, Helene A.
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    Mirakaj, Valbona
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    Hofmann, Pascal
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    Marx, Gernot
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    Bickenbach, Johannes
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    Nohe, Boris
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    Lay, Michael
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    Spies, Claudia  
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    Edel, Andreas
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    Schiefenhövel, Fridtjof
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    Rahmel, Tim
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    Putensen, Christian
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    Sellmann, Timur
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    Koch, Thea
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    Brandenburger, Timo
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    Kindgen-Milles, Detlef
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    Brenner, Thorsten
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    Berger, Marc
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    Zacharowski, Kai
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    Adam, Elisabeth
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    Posch, Matthias
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    Moerer, Onnen  
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    Scheer, Christian S.
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    Sedding, Daniel
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    Weigand, Markus A.
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    Fichtner, Falk
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    Nau, Carla
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    Prätsch, Florian
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    Wiesmann, Thomas
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    Koch, Christian
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    Schneider, Gerhard
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    Lahmer, Tobias
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    Straub, Andreas
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    Meiser, Andreas
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    Weiss, Manfred
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    Jungwirth, Bettina
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    Wappler, Frank
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    Meybohm, Patrick
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    Herrmann, Johannes
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    Malek, Nisar
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    Kohlbacher, Oliver
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    Biergans, Stephanie
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    Rosenberger, Peter
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    Magunia, Harry; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Lederer, Simone; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Verbuecheln, Raphael; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Gilot, Bryant Joseph; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Koeppen, Michael; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Haeberle, Helene A.; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Mirakaj, Valbona; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Hofmann, Pascal; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Marx, Gernot; Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
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    Bickenbach, Johannes; Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
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    Nohe, Boris; Center for Anaesthesia, Intensive Care and Emergency Medicine, Zollernalb Klinikum, Balingen, Germany
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    Lay, Michael; Center for Anaesthesia, Intensive Care and Emergency Medicine, Zollernalb Klinikum, Balingen, Germany
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    Spies, Claudia; Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, Berlin
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    Edel, Andreas; Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, Berlin
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    Schiefenhövel, Fridtjof; Institute of Medical Informatics, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität Zu Berlin, Berlin, Germany
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    Rahmel, Tim; Department of Anesthesiology, Intensive Care Medicine/Pain Therapy, Bochum, Germany
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    Putensen, Christian; Department of Anaesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
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    Sellmann, Timur; Chair of Anesthesiology 1, Witten/Herdecke University, Wuppertal, Germany
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    Koch, Thea; Department of Anesthesiology and Intensive Care Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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    Brandenburger, Timo; Department of Anaesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany
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    Kindgen-Milles, Detlef; Department of Anaesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany
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    Brenner, Thorsten; Department of Anesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany
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    Berger, Marc; Department of Anesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany
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    Zacharowski, Kai; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
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    Adam, Elisabeth; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
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    Posch, Matthias; Department of Anesthesiology and Critical Care, Medical Center - University of Freiburg, Freiburg, Germany
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    Moerer, Onnen; Center for Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, Göttingen, Germany
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    Scheer, Christian S.; Department of Anesthesiology, University Medicine Greifswald, Greifswald, Germany
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    Sedding, Daniel; Department Cardiology, Angiology and Intensive Care Medicine, University Hospital Halle (Saale), Halle (Saale), Germany
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    Weigand, Markus A.; Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
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    Fichtner, Falk; Department of Anesthesiology and Intensive Care, Leipzig University Hospital, Leipzig, Germany
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    Nau, Carla; Department of Anesthesiology and Intensive Care, University Medical Center Schleswig-Holstein, Campus Lübeck, University of Lübeck, Lübeck, Germany
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    Prätsch, Florian; Department of Anaesthesiology and Intensive Care Therapy, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
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    Wiesmann, Thomas; University Hospital Marburg, UKGM, Philipps University Marburg, Marburg, Germany
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    Koch, Christian; Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Giessen and Marburg, Justus-Liebig University Giessen, Giessen, Germany
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    Schneider, Gerhard; Department of Anesthesiology and Intensive Care, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
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    Lahmer, Tobias; Klinik Und Poliklinik Für Innere Medizin II, Klinikum Rechts Der Isar der, Technischen Universität München, Munich, Germany
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    Straub, Andreas; Department for Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Medicine, St. Elisabethen Klinikum, Ravensburg, Germany
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    Meiser, Andreas; Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, Saarland University Hospital Medical Center, Homburg/Saar, Germany
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    Weiss, Manfred; Department of Anesthesiology and Intensive Care Medicine, Ulm University, Ulm, Germany
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    Jungwirth, Bettina; Department of Anesthesiology and Intensive Care Medicine, Ulm University, Ulm, Germany
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    Wappler, Frank; Department of Anaesthesiology and Intensive Care Medicine, Cologne-Merheim Medical Centre, Witten/Herdecke University, Cologne-Merheim, Germany
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    Meybohm, Patrick; Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, University Wuerzburg, Wuerzburg, Germany
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    Herrmann, Johannes; Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, University Wuerzburg, Wuerzburg, Germany
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    Malek, Nisar; Department of Internal Medicine 1, University Hospital Tübingen, Tübingen, Germany
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    Kohlbacher, Oliver; Department of Computer Science, Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany
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    Biergans, Stephanie; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
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    Rosenberger, Peter; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
    Abstract Background Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes. Methods A Germany-wide electronic registry was established to pseudonymously collect admission, therapeutic and discharge information of SARS-CoV-2 ICU patients retrospectively and prospectively. Machine learning approaches were evaluated for the accuracy and interpretability of predictions. The Explainable Boosting Machine approach was selected as the most suitable method. Individual, non-linear shape functions for predictive parameters and parameter interactions are reported. Results 1039 patients were included in the Explainable Boosting Machine model, 596 patients retrospectively collected, and 443 patients prospectively collected. The model for prediction of general ICU outcome was shown to be more reliable to predict “survival”. Age, inflammatory and thrombotic activity, and severity of ARDS at ICU admission were shown to be predictive of ICU survival. Patients’ age, pulmonary dysfunction and transfer from an external institution were predictors for ECMO therapy. The interaction of patient age with D-dimer levels on admission and creatinine levels with SOFA score without GCS were predictors for renal replacement therapy. Conclusions Using Explainable Boosting Machine analysis, we confirmed and weighed previously reported and identified novel predictors for outcome in critically ill COVID-19 patients. Using this strategy, predictive modeling of COVID-19 ICU patient outcomes can be performed overcoming the limitations of linear regression models. Trial registration “ClinicalTrials” (clinicaltrials.gov) under NCT04455451.
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    Methylated HNRNPK acts on RPS19 to regulate ALOX15 synthesis in erythropoiesis
    (2021)
    Naarmann-de Vries, Isabel S
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    Senatore, Roberta
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    Moritz, Bodo
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    Marx, Gernot
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    Urlaub, Henning  
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    Niessing, Dierk
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    Ostareck, Dirk H
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    Ostareck-Lederer, Antje
    Abstract Post-transcriptional control is essential to safeguard structural and metabolic changes in enucleated reticulocytes during their terminal maturation to functional erythrocytes. The timely synthesis of arachidonate 15-lipoxygenase (ALOX15), which initiates mitochondria degradation at the final stage of reticulocyte maturation is regulated by the multifunctional protein HNRNPK. It constitutes a silencing complex at the ALOX15 mRNA 3′ untranslated region that inhibits translation initiation at the AUG by impeding the joining of ribosomal 60S subunits to 40S subunits. To elucidate how HNRNPK interferes with 80S ribosome assembly, three independent screens were applied. They consistently demonstrated a differential interaction of HNRNPK with RPS19, which is localized at the head of the 40S subunit and extends into its functional center. During induced erythroid maturation of K562 cells, decreasing arginine dimethylation of HNRNPK is linked to a reduced interaction with RPS19 in vitro and in vivo. Dimethylation of residues R256, R258 and R268 in HNRNPK affects its interaction with RPS19. In noninduced K562 cells, RPS19 depletion results in the induction of ALOX15 synthesis and mitochondria degradation. Interestingly, residue W52 in RPS19, which is frequently mutated in Diamond-Blackfan Anemia (DBA), participates in specific HNRNPK binding and is an integral part of a putative aromatic cage.
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    Semi-fluorinated alkanes as carriers for drug targeting in acute respiratory failure
    (Taylor & Francis Inc, 2010)
    Dembinski, Rolf
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    Bensberg, Ralf
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    Marx, Gernot
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    Rossaint, Rolf
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    Quintel, Michael  
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    Kuhlen, Ralf
    Partial liquid ventilation (PLV) with perfluorocarbons may cause pulmonary recruitment in acute lung injury (ALI). Semi-fluorinated alkanes (SFAs) provide biochemical properties similar to perfluorocarbons. Additionally, SFAs are characterized by increased lipophilicity. Therefore, SFA-PLV may be considered for deposition of certain therapeutic drugs into atelectatic lung areas. In this experimental study SFA-PLV was evaluated to demonstrate feasibility, pulmonary recruitment, and efficacy of drug deposition. Feasibility of SFA-PLV was determined in pigs with and without experimental ALI. Animals were randomized to PLV with SFAs up to a cumulative amount of 30 mL.kg(-1) or to conventional mechanical ventilation. Pulmonary recruitment effects were determined by analyzing ventilation-perfusion distributions. Efficacy of intrapulmonary drug deposition was evaluated in further experiments by measuring drug serum concentrations in the course of PLV with SFA-dissolved a-tocopherol and ibuprofen. Increasing SFA doses caused progressive reduction of intrapulmonary shunt in animals with ALI, indicating pulmonary recruitment. PLV with SFA-dissolved a-tocopherol had no effect on serum levels of a-tocopherol, whereas PLV with SFA-dissolved ibuprofen caused a rapid increase of serum levels of ibuprofen. The authors conclude that SFA-PLV is feasible and causes pulmonary recruitment in ALI. Effectiveness of drug deposition in the lung obviously depends on the partitioning drugs out of the SFA phase into blood.
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    Significant Reduction of External Ventricular Drainage-Associated Meningoventriculitis by Chlorhexidine-Containing Dressings: A Before-After Trial
    (Oxford Univ Press Inc, 2016)
    Scheithauer, Simone  
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    Schulze-Steinen, Henna
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    Hoellig, Anja
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    Lopez-Gonzalez, Luis
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    Hilgers, Ralf-Dieter
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    Reinges, Marcus H. T.
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    Marx, Gernot
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    Lemmen, Sebastian
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    The effect of a novel extracorporeal cytokine hemoadsorption device on IL-6 elimination in septic patients: A randomized controlled trial.
    (2017)
    Schädler, Dirk
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    Pausch, Christine
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    Heise, Daniel
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    Meier-Hellmann, Andreas
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    Brederlau, Jörg
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    Weiler, Norbert
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    Marx, Gernot
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    Putensen, Christian
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    Spies, Claudia
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    Jörres, Achim
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    Quintel, Michael  
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    Engel, Christoph  
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    Kellum, John A.
    ;
    Kuhlmann, Martin K.
    OBJECTIVE: We report on the effect of hemoadsorption therapy to reduce cytokines in septic patients with respiratory failure. METHODS: This was a randomized, controlled, open-label, multicenter trial. Mechanically ventilated patients with severe sepsis or septic shock and acute lung injury or acute respiratory distress syndrome were eligible for study inclusion. Patients were randomly assigned to either therapy with CytoSorb hemoperfusion for 6 hours per day for up to 7 consecutive days (treatment), or no hemoperfusion (control). Primary outcome was change in normalized IL-6-serum concentrations during study day 1 and 7. RESULTS: 97 of the 100 randomized patients were analyzed. We were not able to detect differences in systemic plasma IL-6 levels between the two groups (n = 75; p = 0.15). Significant IL-6 elimination, averaging between 5 and 18% per blood pass throughout the entire treatment period was recorded. In the unadjusted analysis, 60-day-mortality was significantly higher in the treatment group (44.7%) compared to the control group (26.0%; p = 0.039). The proportion of patients receiving renal replacement therapy at the time of enrollment was higher in the treatment group (31.9%) when compared to the control group (16.3%). After adjustment for patient morbidity and baseline imbalances, no association of hemoperfusion with mortality was found (p = 0.19). CONCLUSIONS: In this patient population with predominantly septic shock and multiple organ failure, hemoadsorption removed IL-6 but this did not lead to lower plasma IL-6-levels. We did not detect statistically significant differences in the secondary outcomes multiple organ dysfunction score, ventilation time and time course of oxygenation.

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