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32 results on '"Meintrup, David"'

1. A Model for the Universal Space for Proper Actions of a Hyperbolic Group

Author

Meintrup, David and Schick, Thomas

Subjects
Mathematics - Metric Geometry, Mathematics - Geometric Topology, 20F67, 55R35, 57M07
Abstract

Let $G$ be a word hyperbolic group in the sense of Gromov and $P$ its associated Rips complex. We prove that the fixed point set $P^H$ is contractible for every finite subgroups $H$ of $G$. This is the main ingredient for proving that $P$ is a finite model for the universal space $e.g.$ of proper actions. As a corollary we get that a hyperbolic group has only finitely many conjugacy classes of finite subgroups., Comment: Comma in metadata (author field) added

Published
2002

4. Testtheorie

Author

Meintrup, David, Schäffler, Stefan, Meintrup, David, and Schäffler, Stefan

Published
2005
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19. Transient Noise Simulation: Modeling and Simulation of 1/f -Noise

Author

Denk, Georg, Meintrup, David, Schäffler, Stefan, Hoffmann, K.-H., editor, Mittelmann, H. D., editor, Bank, R. E., editor, Kawarada, H., editor, LeVeque, R. J., editor, Verdi, C., editor, Todd, J., editor, Antreich, Kurt, editor, Bulirsch, Roland, editor, Gilg, Albert, editor, and Rentrop, Peter, editor

Published
2003
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21. Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study

Author

Meintrup, David, primary, Borgmann, Stefan, additional, Seidl, Karlheinz, additional, Stecher, Melanie, additional, Jakob, Carolin E. M., additional, Pilgram, Lisa, additional, Spinner, Christoph D., additional, Rieg, Siegbert, additional, Isberner, Nora, additional, Hower, Martin, additional, Vehreschild, Maria, additional, Göpel, Siri, additional, Hanses, Frank, additional, and Nowak-Machen, Martina, additional

Published
2021
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23. Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study

Author

Meintrup, David, Borgmann, Stefan, Seidl, Karlheinz, Stecher, Melanie, Jakob, Carolin E. M., Pilgram, Lisa, Spinner, Christoph D., Rieg, Siegbert, Isberner, Nora, Hower, Martin, Vehreschild, Maria, Goepel, Siri, Hanses, Frank, Nowak-Machen, Martina, Meintrup, David, Borgmann, Stefan, Seidl, Karlheinz, Stecher, Melanie, Jakob, Carolin E. M., Pilgram, Lisa, Spinner, Christoph D., Rieg, Siegbert, Isberner, Nora, Hower, Martin, Vehreschild, Maria, Goepel, Siri, Hanses, Frank, and Nowak-Machen, Martina

Abstract

(1) Background: The aim of our study was to identify specific risk factors for fatal outcome in critically ill COVID-19 patients. (2) Methods: Our data set consisted of 840 patients enclosed in the LEOSS registry. Using lasso regression for variable selection, a multifactorial logistic regression model was fitted to the response variable survival. Specific risk factors and their odds ratios were derived. A nomogram was developed as a graphical representation of the model. (3) Results: 14 variables were identified as independent factors contributing to the risk of death for critically ill COVID-19 patients: age (OR 1.08, CI 1.06-1.10), cardiovascular disease (OR 1.64, CI 1.06-2.55), pulmonary disease (OR 1.87, CI 1.16-3.03), baseline Statin treatment (0.54, CI 0.33-0.87), oxygen saturation (unit = 1%, OR 0.94, CI 0.92-0.96), leukocytes (unit 1000/mu L, OR 1.04, CI 1.01-1.07), lymphocytes (unit 100/mu L, OR 0.96, CI 0.94-0.99), platelets (unit 100,000/mu L, OR 0.70, CI 0.62-0.80), procalcitonin (unit ng/mL, OR 1.11, CI 1.05-1.18), kidney failure (OR 1.68, CI 1.05-2.70), congestive heart failure (OR 2.62, CI 1.11-6.21), severe liver failure (OR 4.93, CI 1.94-12.52), and a quick SOFA score of 3 (OR 1.78, CI 1.14-2.78). The nomogram graphically displays the importance of these 14 factors for mortality. (4) Conclusions: There are risk factors that are specific to the subpopulation of critically ill COVID-19 patients.

Published
2021

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