12 results on '"Ingenwerth, Marc"'
Search Results
2. Intracranial hemorrhage in COVID-19 patients during extracorporeal membrane oxygenation for acute respiratory failure : a nationwide register study report
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von Stillfried, Saskia, Bülow, Roman David, Wienströer, Jan, Pfefferle, Susanne, Glatzel, Markus, Krasemann, Susanne, Matschke, Jakob, Jonigk, Danny, Werlein, Christopher, Schirmacher, Peter, Domke, Lisa Maria, Hartmann, Laura, Klein, Isabel Madeleine, Weis, Joachim, Schwab, Constantin, Röcken, Christoph, Friemann, Johannes, Langer, Dorothea, Roth, Wilfried, Strobl, Stephanie, Rudelius, Martina, Stock, Konrad Friedrich, Weichert, Wilko, Delbridge, Claire, Bremer, Juliane, Kasajima, Atsuko, Kuhn, Peer-Hendrik, Slotta-Huspenina, Julia, Weirich, Gregor, Barth, Peter, Wardelmann, Eva, Schnepper, Alexander, Evert, Katja, Büttner, Andreas, Manhart, Johannes, Knüchel, R., Nigbur, Stefan, Bittmann, Iris, Fend, Falko, Bösmüller, Hans, Granai, Massimo, Klingel, Karin, Warm, Verena, Steinestel, Konrad, Umathum, Vincent Gottfried, Rosenwald, Andreas, Breitbach, Anna, Kurz, Florian, Vogt, Niklas, Cacchi, Claudio, Freeborn, Benita, Wucherpfennig, Sophie, Spring, Oliver, Braun, Georg, Röhrig, Rainer, Römmele, Christoph, Märkl, Bruno, Claus, Rainer, Dhillon, Christine, Schaller, Tina, Sipos, Eva, Hirschbühl, Klaus, Wittmann, Michael, Kling, Elisabeth, Kröncke, Thomas, Meybohm, Patrick, Heppner, Frank L., Meinhardt, Jenny, Radbruch, Helena, Streit, Simon, Horst, David, Elezkurtaj, Sefer, Quaas, Alexander, Göbel, Heike, Hansen, Torsten, Titze, Ulf, Boor, Peter, Lorenzen, Johann, Reuter, Thomas, Woloszyn, Jaroslaw, Baretton, Gustavo, Hilsenbeck, Julia, Meinhardt, Matthias, Pablik, Jessica, Sommer, Linna, Holotiuk, Olaf, Meinel, Meike, DeRegCOVID Collaborators, Mahlke, Nina, Esposito, Irene, Crudele, Graziano, Seidl, Maximilian, Amann, Kerstin U., Coras, Roland, Hartmann, Arndt, Eichhorn, Philip, Haller, Florian, Lange, Fabienne, Böcker, Jana, Schmid, Kurt Werner, Ingenwerth, Marc, Rawitzer, Josefine, Theegarten, Dirk, Birngruber, Christoph G., Wild, Peter, Gradhand, Elise, Smith, Kevin, Werner, Martin, Schilling, Oliver, Schmidt, Jens, Acker, Till, Gattenlöhner, Stefan, Stadelmann, Christine, Metz, Imke, Franz, Jonas, Stork, Lidia, Thomas, Carolina, Zechel, Sabrina, Ströbel, Philipp, Wickenhauser, Claudia, Tholen, Pauline, Fathke, Christine, Harder, Anja, Ondruschka, Benjamin, Dietz, Eric, Edler, Carolin, Fitzek, Antonia, Fröb, Daniela, Heinemann, Axel, Heinrich, Fabian, Klein, Anke, Majeed, Raphael, Kniep, Inga, Lohner, Larissa, Möbius, Dustin, Püschel, Klaus, Schädler, Julia, Schröder, Ann-Sophie, Sperhake, Jan-Peter, Aepfelbacher, Martin, Fischer, Nicole, and Lütgehetmann, Marc
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ddc:610 - Published
- 2022
3. Correlation between contrast enhancement, standardized uptake value (SUV), and diffusion restriction (ADC) with tumor grading in patients with therapy-naive neuroendocrine neoplasms using hybrid ⁶⁸Ga-DOTATOC PET/MRI
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Bruckmann, Nils Martin, Rischpler, Christoph, Kirchner, Julian, Umutlu, Lale, Herrmann, Ken, Ingenwerth, Marc, Theurer, Sarah, Lahner, Harald, Antoch, Gerald, and Sawicki, Lino M.
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Medizin - Published
- 2021
4. Prospective comparison of CT and ¹⁸F-FDG PET/MRI in N and M staging of primary breast cancer patients : Initial results
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Bruckmann, Nils Martin, Kirchner, Julian, Morawitz, Janna, Umutlu, Lale, Herrmann, Ken, Bittner, Ann-Kathrin, Hoffmann, Oliver, Mohrmann, Svjetlana, Ingenwerth, Marc, Schaarschmidt, Benedikt M., Li, Yan, Stang, Andreas, Antoch, Gerald, Sawicki, Lino M., and Buchbender, Christian
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Medizin - Abstract
Objectives To compare the diagnostic accuracy of contrast-enhanced thoraco-abdominal computed tomography and whole-body ¹⁸F-FDG PET/MRI in N and M staging in newly diagnosed, histopathological proven breast cancer. Material and methods A total of 80 consecutive women with newly diagnosed and histopathologically confirmed breast cancer were enrolled in this prospective study. Following inclusion criteria had to be fulfilled: (1) newly diagnosed, treatment-naive T2-tumor or higher T-stage or (2) newly diagnosed, treatment-naive triple-negative tumor of every size or (3) newly diagnosed, treatment-naive tumor with molecular high risk (T1c, Ki67 >14%, HER2neu over-expression, G3). All patients underwent a thoraco-abdominal ceCT and a whole-body ¹⁸F-FDG PET/ MRI. All datasets were evaluated by two experienced radiologists in hybrid imaging regarding suspect lesion count, localization, categorization and diagnostic confidence. Images were interpreted in random order with a reading gap of at least 4 weeks to avoid recognition bias. Histopathological results as well as follow-up imaging served as reference standard. Differences in staging accuracy were assessed using Mc Nemars chi² test. Results CT rated the N stage correctly in 64 of 80 (80%, 95% CI:70.0–87.3) patients with a sensitivity of 61.5% (CI:45.9–75.1), a specificity of 97.6% (CI:87.4–99.6), a PPV of 96% (CI:80.5–99.3), and a NPV of 72.7% (CI:59.8–82.7). Compared to this, ¹⁸F-FDG PET/MRI determined the N stage correctly in 71 of 80 (88.75%, CI:80.0–94.0) patients with a sensitivity of 82.1% (CI:67.3–91.0), a specificity of 95.1% (CI:83.9–98.7), a PPV of 94.1% (CI:80.9–98.4) and a NPV of 84.8% (CI:71.8–92.4). Differences in sensitivities were statistically significant (difference 20.6%, CI:-0.02–40.9; p = 0.008). Distant metastases were present in 7/80 patients (8.75%). ¹⁸ F-FDG PET/MRI detected all of the histopathological proven metastases without any false-positive findings, while 3 patients with bone metastases were missed in CT (sensitivity 57.1%, specificity 95.9%). Additionally, CT presented false-positive findings in 3 patients. Conclusion ¹⁸F-FDG PET/MRI has a high diagnostic potential and outperforms CT in assessing the N and M stage in patients with primary breast cancer. CA extern
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- 2021
5. A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer
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Demircioglu, Aydin, Grueneisen, Johannes, Ingenwerth, Marc, Hoffmann, Oliver, Pinker-Domenig, Katja, Morris, Elizabeth, Haubold, Johannes, Forsting, Michael, Nensa, Felix, and Umutlu, Lale
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Adult ,Medizinische Fakultät » Universitätsklinikum Essen » Institut für Pathologie und Neuropathologie ,Computer and Information Sciences ,Histology ,Time Factors ,Imaging Techniques ,Physiology ,Science ,Medizin ,Cancer Treatment ,Breast Neoplasms ,Research and Analysis Methods ,Biochemistry ,Diagnostic Radiology ,Machine Learning ,Lymphatic System ,Diagnostic Medicine ,Artificial Intelligence ,Breast Tumors ,Breast Cancer ,Image Interpretation, Computer-Assisted ,Medicine and Health Sciences ,Biomarkers, Tumor ,Humans ,ddc:610 ,Breast ,Aged ,Retrospective Studies ,Aged, 80 and over ,Radiology and Imaging ,Cancers and Neoplasms ,Biology and Life Sciences ,Middle Aged ,Magnetic Resonance Imaging ,Hormones ,Medizinische Fakultät » Universitätsklinikum Essen » Klinik für Frauenheilkunde und Geburtshilfe ,Body Fluids ,Oncology ,Medizinische Fakultät » Universitätsklinikum Essen » Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie ,Medicine ,Female ,Lymph Nodes ,Lymph ,Anatomy ,Neoplasm Grading ,Research Article - Abstract
BackgroundRecently, radiomics has emerged as a non-invasive, imaging-based tissue characterization method in multiple cancer types. One limitation for robust and reproducible analysis lies in the inter-reader variability of the tumor annotations, which can potentially cause differences in the extracted feature sets and results. In this study, the diagnostic potential of a rapid and clinically feasible VOI (Volume of Interest)-based approach to radiomics is investigated to assess MR-derived parameters for predicting molecular subtype, hormonal receptor status, Ki67- and HER2-Expression, metastasis of lymph nodes and lymph vessel involvement as well as grading in patients with breast cancer.MethodsA total of 98 treatment-naïve patients (mean 59.7 years, range 28.0-89.4) with BI-RADS 5 and 6 lesions who underwent a dedicated breast MRI prior to therapy were retrospectively included in this study. The imaging protocol comprised dynamic contrast-enhanced T1-weighted imaging and T2-weighted imaging. Tumor annotations were obtained by drawing VOIs around the primary tumor lesions followed by thresholding. From each segmentation, 13.118 quantitative imaging features were extracted and analyzed with machine learning methods. Validation was performed by 5-fold cross-validation with 25 repeats.ResultsPredictions for molecular subtypes obtained AUCs of 0.75 (HER2-enriched), 0.73 (triple-negative), 0.65 (luminal A) and 0.69 (luminal B). Differentiating subtypes from one another was highest for HER2-enriched vs triple-negative (AUC 0.97), followed by luminal B vs triple-negative (0.86). Receptor status predictions for Estrogen Receptor (ER), Progesterone Receptor (PR) and Hormone receptor positivity yielded AUCs of 0.67, 0.69 and 0.69, while Ki67 and HER2 Expressions achieved 0.81 and 0.62. Involvement of the lymph vessels could be predicted with an AUC of 0.8, while lymph node metastasis yielded an AUC of 0.71. Models for grading performed similar with an AUC of 0.71 for Elston-Ellis grading and 0.74 for the histological grading.ConclusionOur preliminary results of a rapid approach to VOI-based tumor-annotations for radiomics provides comparable results to current publications with the perks of clinical suitability, enabling a comprehensive non-invasive platform for breast tumor decoding and phenotyping.
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- 2020
6. Prospective evaluation of whole-body MRI and ¹⁸F-FDG PET/MRI in N and M staging of primary breast cancer patients
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Bruckmann, Nils Martin, Sawicki, Lino M., Kirchner, Julian, Martin, Ole, Umutlu, Lale, Herrmann, Ken, Fendler, Wolfgang, Bittner, Ann-Kathrin, Hoffmann, Oliver, Mohrmann, Svjetlana, Dietzel, Frederic, Ingenwerth, Marc, Schaarschmidt, Benedikt M., Li, Yan, Kowall, Bernd, Stang, Andreas, Antoch, Gerald, and Buchbender, Christian
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Medizin - Abstract
Objectives: To evaluate and compare the diagnostic potential of whole-body MRI and whole-body ¹⁸F-FDG PET/MRI for N and M staging in newly diagnosed, histopathologically proven breast cancer. Material and methods: A total of 104 patients (age 53.4 ± 12.5) with newly diagnosed, histopathologically proven breast cancer were enrolled in this study prospectively. All patients underwent a whole-body ¹⁸F-FDG PET/MRI. MRI and ¹⁸F-FDG PET/MRI datasets were evaluated separately regarding lesion count, lesion localization, and lesion characterization (malignant/benign) as well as the diagnostic confidence (5-point ordinal scale, 1–5). The N and M stages were assessed according to the eighth edition of the American Joint Committee on Cancer staging manual in MRI datasets alone and in ¹⁸F-FDG PET/MRI datasets, respectively. In the majority of lesions histopathology served as the reference standard. The remaining lesions were followed-up by imaging and clinical examination. Separately for nodal-positive and nodal-negative women, a McNemar chi² test was performed to compare sensitivity and specificity of the N and M stages between ¹⁸F-FDG PET/MRI and MRI. Differences in diagnostic confidence scores were assessed by Wilcoxon signed rank test. Results: MRI determined the N stage correctly in 78 of 104 (75%) patients with a sensitivity of 62.3% (95% CI: 0.48–0.75), a specificity of 88.2% (95% CI: 0.76–0.96), a PPV (positive predictive value) of 84.6% % (95% CI: 69.5–0.94), and a NPV (negative predictive value) of 69.2% (95% CI: 0.57–0.8). Corresponding results for ¹⁸F-FDG PET/MRI were 87/104 (83.7%), 75.5% (95% CI: 0.62–0.86), 92.2% (0.81–0.98), 90% (0.78–0.97), and 78.3% (0.66–0.88), showing a significantly better sensitivity of ¹⁸F-FDG PET/MRI determining malignant lymph nodes (p = 0.008). The M stage was identified correctly in MRI and ¹⁸F-FDG PET/MRI in 100 of 104 patients (96.2%). Both modalities correctly staged all 7 patients with distant metastases, leading to false-positive findings in 4 patients in each modality (3.8%). In a lesion-based analysis, ¹⁸F-FDG PET/MRI showed a significantly better performance in correctly determining malignant lesions (85.8% vs. 67.1%, difference 18.7% (95% CI: 0.13–0.26), p < 0.0001) and offered a superior diagnostic confidence compared with MRI alone (4.1 ± 0.7 vs. 3.4 ± 0.7, p < 0.0001). Conclusion: ¹⁸F-FDG PET/MRI has a better diagnostic accuracy for N staging in primary breast cancer patients and provides a significantly higher diagnostic confidence in lesion characterization than MRI alone. But both modalities bear the risk to overestimate the M stage.
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- 2020
7. Die nukleäre Lokalisation von Robo ist mit einem besseren krankheitsspezifischen Überleben beim Urothelkarzinom der Harnblase assoziiert
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Krafft, Ulrich, Reis, Henning, Ingenwerth, Marc, Kovalszky, Ilona, Becker, Markus, Niedworok, Christian, Darr, Christopher, Nyirady, Peter, Hadaschik, Boris, and Szarvas, Tibor
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ddc: 610 ,610 Medical sciences ,Medicine - Abstract
Einleitung: Alterationen im Zusammenspiel des sekretierten Glycoproteins Slit und des transmembranen Rezeptors Robo wurden für diverse humane Malignome beschrieben. Die Rolle der Slit-Robo Interaktion beim Urothelkarzinom der Harnblase ist bis heute weitestgehend unklar. Diese Arbeit untersucht[zum vollständigen Text gelangen Sie über die oben angegebene URL], 65. Kongress der Nordrhein-Westfälischen Gesellschaft für Urologie
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- 2019
8. Prospective comparison of ¹⁸F-FDG PET/MRI and ¹⁸F-FDG PET/CT for thoracic staging of non-small cell lung cancer
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Kirchner, Julian, Sawicki, Lino M., Nensa, Felix, Schaarschmidt, Benedikt M., Reis, Henning, Ingenwerth, Marc, Bogner, Simon, Aigner, Clemens, Buchbender, Christian, Umutlu, Lale, Antoch, Gerald, Herrmann, Ken, and Heusch, Philipp
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Medizin - Published
- 2019
9. Transplantation of Cold Stored Porcine Kidneys After Controlled Oxygenated Rewarming
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Gallinat, Anja, Lu, Jing, von Horn, Charlotte, Kaths, Moritz, Ingenwerth, Marc, Paul, Andreas, and Minor, Thomas
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Medizin - Published
- 2018
10. – von Ergebnissen zu Hypothesen –
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Ingenwerth, Marc
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- 2016
11. First report from the German COVID-19 autopsy registry
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Saskia von Stillfried, Roman David Bülow, Rainer Röhrig, Peter Boor, Jana Böcker, Jens Schmidt, Pauline Tholen, Raphael Majeed, Jan Wienströer, Joachim Weis, Juliane Bremer, Ruth Knüchel, Anna Breitbach, Claudio Cacchi, Benita Freeborn, Sophie Wucherpfennig, Oliver Spring, Georg Braun, Christoph Römmele, Bruno Märkl, Rainer Claus, Christine Dhillon, Tina Schaller, Eva Sipos, Klaus Hirschbühl, Michael Wittmann, Elisabeth Kling, Thomas Kröncke, Frank L. Heppner, Jenny Meinhardt, Helena Radbruch, Simon Streit, David Horst, Sefer Elezkurtaj, Alexander Quaas, Heike Göbel, Torsten Hansen, Ulf Titze, Johann Lorenzen, Thomas Reuter, Jaroslaw Woloszyn, Gustavo Baretton, Julia Hilsenbeck, Matthias Meinhardt, Jessica Pablik, Linna Sommer, Olaf Holotiuk, Meike Meinel, Nina Mahlke, Irene Esposito, Graziano Crudele, Maximilian Seidl, Kerstin U. Amann, Roland Coras, Arndt Hartmann, Philip Eichhorn, Florian Haller, Fabienne Lange, Kurt Werner Schmid, Marc Ingenwerth, Josefine Rawitzer, Dirk Theegarten, Christoph G. Birngruber, Peter Wild, Elise Gradhand, Kevin Smith, Martin Werner, Oliver Schilling, Till Acker, Stefan Gattenlöhner, Christine Stadelmann, Imke Metz, Jonas Franz, Lidia Stork, Carolina Thomas, Sabrina Zechel, Philipp Ströbel, Claudia Wickenhauser, Christine Fathke, Anja Harder, Benjamin Ondruschka, Eric Dietz, Carolin Edler, Antonia Fitzek, Daniela Fröb, Axel Heinemann, Fabian Heinrich, Anke Klein, Inga Kniep, Larissa Lohner, Dustin Möbius, Klaus Püschel, Julia Schädler, Ann-Sophie Schröder, Jan-Peter Sperhake, Martin Aepfelbacher, Nicole Fischer, Marc Lütgehetmann, Susanne Pfefferle, Markus Glatzel, Susanne Krasemann, Jakob Matschke, Danny Jonigk, Christopher Werlein, Peter Schirmacher, Lisa Maria Domke, Laura Hartmann, Isabel Madeleine Klein, Constantin Schwab, Christoph Röcken, Johannes Friemann, Dorothea Langer, Wilfried Roth, Stephanie Strobl, Martina Rudelius, Konrad Friedrich Stock, Wilko Weichert, Claire Delbridge, Atsuko Kasajima, Peer-Hendrik Kuhn, Julia Slotta-Huspenina, Gregor Weirich, Peter Barth, Eva Wardelmann, Katja Evert, Andreas Büttner, Johannes Manhart, Stefan Nigbur, Iris Bittmann, Falko Fend, Hans Bösmüller, Massimo Granai, Karin Klingel, Verena Warm, Konrad Steinestel, Vincent Gottfried Umathum, Andreas Rosenwald, Florian Kurz, Niklas Vogt, Weis, Joachim, Glatzel, Markus, Krasemann, Susanne, Matschke, Jakob, Jonigk, Danny, Werlein, Christopher, Schirmacher, Peter, Domke, Lisa Maria, Hartmann, Laura, Klein, Isabel Madeleine, Schwab, Constantin, Bremer, Juliane, Röcken, Christoph, Friemann, Johannes, Langer, Dorothea, Roth, Wilfried, Strobl, Stephanie, Rudelius, Martina, Stock, Konrad Friedrich, Weichert, Wilko, Delbridge, Claire, Kasajima, Atsuko, Knüchel-Clarke, Ruth, Kuhn, Peer-Hendrik, Slotta-Huspenina, Julia, Weirich, Gregor, Barth, Peter, Wardelmann, Eva, Evert, Katja, Büttner, Andreas, Manhart, Johannes, Nigbur, Stefan, Bittmann, Iris, Breitbach, Anna, Fend, Falko, Bösmüller, Hans, Granai, Massimo, Klingel, Karin, Warm, Verena, Steinestel, Konrad, Umathum, Vincent Gottfried, Rosenwald, Andreas, Kurz, Florian, Vogt, Niklas, Cacchi, Claudio, Freeborn, Benita, Wucherpfennig, Sophie, Spring, Oliver, Braun, Georg, Römmele, Christoph, Märkl, Bruno, Claus, Rainer, Dhillon, Christine, Schaller, Tina, Sipos, Eva, Hirschbühl, Klaus, Wittmann, Michael, Kling, Elisabeth, Kröncke, Thomas, Heppner, Frank L., Meinhardt, Jenny, Radbruch, Helena, Streit, Simon, Horst, David, Elezkurtaj, Sefer, Quaas, Alexander, Göbel, Heike, Hansen, Torsten, Titze, Ulf, Lorenzen, Johann, Reuter, Thomas, Woloszyn, Jaroslaw, Baretton, Gustavo, Hilsenbeck, Julia, Meinhardt, Matthias, Pablik, Jessica, Sommer, Linna, Holotiuk, Olaf, Meinel, Meike, Mahlke, Nina, Böcker, Jana, Esposito, Irene, Crudele, Graziano, Seidl, Maximilian, Amann, Kerstin U., Coras, Roland, Hartmann, Arndt, Eichhorn, Philip, Haller, Florian, Lange, Fabienne, Schmid, Kurt Werner, Schmidt, Jens, Ingenwerth, Marc, Rawitzer, Josefine, Theegarten, Dirk, Birngruber, Christoph G., Wild, Peter, Gradhand, Elise, Smith, Kevin, Werner, Martin, Schilling, Oliver, Acker, Till, Tholen, Pauline, Gattenlöhner, Stefan, Stadelmann, Christine, Metz, Imke, Franz, Jonas, Stork, Lidia, Thomas, Carolina, Zechel, Sabrina, Ströbel, Philipp, Wickenhauser, Claudia, Fathke, Christine, Majeed, Raphael, Harder, Anja, Ondruschka, Benjamin, Dietz, Eric, Edler, Carolin, Fitzek, Antonia, Fröb, Daniela, Heinemann, Axel, Heinrich, Fabian, Klein, Anke, Kniep, Inga, Wienströer, Jan, Lohner, Larissa, Möbius, Dustin, Püschel, Klaus, Schädler, Julia, Schröder, Ann-Sophie, Sperhake, Jan-Peter, Aepfelbacher, Martin, Fischer, Nicole, Lütgehetmann, Marc, and Pfefferle, Susanne
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Oncology ,Health Policy ,Internal Medicine ,Medizin ,ddc:610 - Abstract
The lancet / Regional health. Europe 15, 100330 (2022). doi:10.1016/j.lanepe.2022.100330, Published by Elsevier, [Amsterdam]
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- 2022
12. Intracranial hemorrhage in COVID-19 patients during extracorporeal membrane oxygenation for acute respiratory failure: a nationwide register study report
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von Stillfried, Saskia, Bülow, Roman David, Röhrig, Rainer, Meybohm, Patrick, Boor, Peter, German Registry of COVID-19 Autopsies, (DeRegCOVID), Schmid, Kurt Werner (Beitragende*r), Ingenwerth, Marc (Beitragende*r), Rawitzer, Josefine (Beitragende*r), and Theegarten, Dirk (Beitragende*r)
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surgical procedures, operative ,Medizin ,ddc:610 - Abstract
Background: In severe cases, SARS-CoV-2 infection leads to acute respiratory distress syndrome (ARDS), often treated by extracorporeal membrane oxygenation (ECMO). During ECMO therapy, anticoagulation is crucial to prevent device-associated thrombosis and device failure, however, it is associated with bleeding complications. In COVID-19, additional pathologies, such as endotheliitis, may further increase the risk of bleeding complications. To assess the frequency of bleeding events, we analyzed data from the German COVID-19 autopsy registry (DeRegCOVID). Methods: The electronic registry uses a web-based electronic case report form. In November 2021, the registry included N = 1129 confirmed COVID-19 autopsy cases, with data on 63 ECMO autopsy cases and 1066 non-ECMO autopsy cases, contributed from 29 German sites. Findings: The registry data showed that ECMO was used in younger male patients and bleeding events occurred much more frequently in ECMO cases compared to non-ECMO cases (56% and 9%, respectively). Similarly, intracranial bleeding (ICB) was documented in 21% of ECMO cases and 3% of non-ECMO cases and was classified as the immediate or underlying cause of death in 78% of ECMO cases and 37% of non-ECMO cases. In ECMO cases, the three most common immediate causes of death were multi-organ failure, ARDS and ICB, and in non-ECMO cases ARDS, multi-organ failure and pulmonary bacterial ± fungal superinfection, ordered by descending frequency. Interpretation: Our study suggests the potential value of autopsies and a joint interdisciplinary multicenter (national) approach in addressing fatal complications in COVID-19. CA extern Weitere Verfasser:innen aus Einrichtungen außerhalb der Universität Duisburg-Essen sind nicht aufgeführt.
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- 2022
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