TY - JOUR A1 - El-Helou, Sabine M. A1 - Biegner, Anika-Kerstin A1 - Bode, Sebastian A1 - Ehl, Stephan R. A1 - Heeg, Maximilian A1 - Maccari, Maria E. A1 - Ritterbusch, Henrike A1 - Speckmann, Carsten A1 - Rusch, Stephan A1 - Scheible, Raphael A1 - Warnatz, Klaus A1 - Atschekzei, Faranaz A1 - Beider, Renata A1 - Ernst, Diana A1 - Gerschmann, Stev A1 - Jablonka, Alexandra A1 - Mielke, Gudrun A1 - Schmidt, Reinhold E. A1 - Schürmann, Gesine A1 - Sogkas, Georgios A1 - Baumann, Ulrich H. A1 - Klemann, Christian A1 - Viemann, Dorothee A1 - Bernuth, Horst von A1 - Krüger, Renate A1 - Hanitsch, Leif G. A1 - Scheibenbogen, Carmen M. A1 - Wittke, Kirsten A1 - Albert, Michael H. A1 - Eichinger, Anna A1 - Hauck, Fabian A1 - Klein, Christoph A1 - Rack-Hoch, Anita A1 - Sollinger, Franz M. A1 - Avila, Anne A1 - Borte, Michael A1 - Borte, Stephan A1 - Fasshauer, Maria A1 - Hauenherm, Anja A1 - Kellner, Nils A1 - Müller, Anna H. A1 - Ülzen, Anett A1 - Bader, Peter A1 - Bakhtiar, Shahrzad A1 - Lee, Jae-Yun A1 - Heß, Ursula A1 - Schubert, Ralf A1 - Wölke, Sandra A1 - Zielen, Stefan A1 - Ghosh, Sujal A1 - Laws, Hans-Juergen A1 - Neubert, Jennifer A1 - Oommen, Prasad T. A1 - Hönig, Manfred A1 - Schulz, Ansgar A1 - Steinmann, Sandra A1 - Klaus, Schwarz A1 - Dückers, Gregor A1 - Lamers, Beate A1 - Langemeyer, Vanessa A1 - Niehues, Tim A1 - Shai, Sonu A1 - Graf, Dagmar A1 - Müglich, Carmen A1 - Schmalzing, Marc T. A1 - Schwaneck, Eva C. A1 - Tony, Hans-Peter A1 - Dirks, Johannes A1 - Haase, Gabriele A1 - Liese, Johannes G. A1 - Morbach, Henner A1 - Foell, Dirk A1 - Hellige, Antje A1 - Wittkowski, Helmut A1 - Masjosthusmann, Katja A1 - Mohr, Michael A1 - Geberzahn, Linda A1 - Hedrich, Christian M. A1 - Müller, Christiane A1 - Rösen-Wolff, Angela A1 - Roesler, Joachim A1 - Zimmermann, Antje A1 - Behrends, Uta A1 - Rieber, Nikolaus A1 - Schauer, Uwe A1 - Handgretinger, Rupert A1 - Holzer, Ursula A1 - Henes, Jörg A1 - Kanz, Lothar A1 - Boesecke, Christoph A1 - Rockstroh, Jürgen K. A1 - Schwarze-Zander, Carolynne A1 - Wasmuth, Jan-Christian A1 - Dilloo, Dagmar A1 - Hülsmann, Brigitte A1 - Schönberger, Stefan A1 - Schreiber, Stefan A1 - Zeuner, Rainald A1 - Ankermann, Tobias A1 - Bismarck, Philipp von A1 - Huppertz, Hans-Iko A1 - Kaiser-Labusch, Petra A1 - Greil, Johann A1 - Jakoby, Donate A1 - Kulozik, Andreas E. A1 - Metzler, Markus A1 - Naumann-Bartsch, Nora A1 - Sobik, Bettina A1 - Graf, Norbert A1 - Heine, Sabine A1 - Kobbe, Robin A1 - Lehmberg, Kai A1 - Müller, Ingo A1 - Herrmann, Friedrich A1 - Horneff, Gerd A1 - Klein, Ariane A1 - Peitz, Joachim A1 - Schmidt, Nadine A1 - Bielack, Stefan A1 - Groß-Wieltsch, Ute A1 - Classen, Carl F. A1 - Klasen, Jessica A1 - Deutz, Peter A1 - Kamitz, Dirk A1 - Lassy, Lisa A1 - Tenbrock, Klaus A1 - Wagner, Norbert A1 - Bernbeck, Benedikt A1 - Brummel, Bastian A1 - Lara-Villacanas, Eusebia A1 - Münstermann, Esther A1 - Schneider, Dominik T. A1 - Tietsch, Nadine A1 - Westkemper, Marco A1 - Weiß, Michael A1 - Kramm, Christof A1 - Kühnle, Ingrid A1 - Kullmann, Silke A1 - Girschick, Hermann A1 - Specker, Christof A1 - Vinnemeier-Laubenthal, Elisabeth A1 - Haenicke, Henriette A1 - Schulz, Claudia A1 - Schweigerer, Lothar A1 - Müller, Thomas G. A1 - Stiefel, Martina A1 - Belohradsky, Bernd H. A1 - Soetedjo, Veronika A1 - Kindle, Gerhard A1 - Grimbacher, Bodo T1 - The German national registry of primary immunodeficiencies (2012-2017) JF - Frontiers in Immunology N2 - Introduction: The German PID-NET registry was founded in 2009, serving as the first national registry of patients with primary immunodeficiencies (PID) in Germany. It is part of the European Society for Immunodeficiencies (ESID) registry. The primary purpose of the registry is to gather data on the epidemiology, diagnostic delay, diagnosis, and treatment of PIDs. Methods: Clinical and laboratory data was collected from 2,453 patients from 36 German PID centres in an online registry. Data was analysed with the software Stata® and Excel. Results: The minimum prevalence of PID in Germany is 2.72 per 100,000 inhabitants. Among patients aged 1-25, there was a clear predominance of males. The median age of living patients ranged between 7 and 40 years, depending on the respective PID. Predominantly antibody disorders were the most prevalent group with 57% of all 2,453 PID patients (including 728 CVID patients). A gene defect was identified in 36% of patients. Familial cases were observed in 21% of patients. The age of onset for presenting symptoms ranged from birth to late adulthood (range 0-88 years). Presenting symptoms comprised infections (74%) and immune dysregulation (22%). Ninety-three patients were diagnosed without prior clinical symptoms. Regarding the general and clinical diagnostic delay, no PID had undergone a slight decrease within the last decade. However, both, SCID and hyper IgE-syndrome showed a substantial improvement in shortening the time between onset of symptoms and genetic diagnosis. Regarding treatment, 49% of all patients received immunoglobulin G (IgG) substitution (70%-subcutaneous; 29%-intravenous; 1%-unknown). Three-hundred patients underwent at least one hematopoietic stem cell transplantation (HSCT). Five patients had gene therapy. Conclusion: The German PID-NET registry is a precious tool for physicians, researchers, the pharmaceutical industry, politicians, and ultimately the patients, for whom the outcomes will eventually lead to a more timely diagnosis and better treatment. KW - registry for primary immunodeficiency KW - primary immunodeficiency (PID) KW - German PID-NET registry KW - PID prevalence KW - European Society for Immunodeficiencies (ESID) KW - IgG substitution therapy KW - CVID Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-226629 VL - 10 ER - TY - JOUR A1 - Maibach, Christiane A1 - Schulz, Johannes A1 - Heinrich, Axel T1 - Fallbasiertes Lernen mit CaseTrain: Umsetzung und Einsatz zur Vermittlung von Informationskompetenz an der Universitätsbibliothek Würzburg T1 - Case-based Learning with Case Train - Implementation and Application for the Intermediation of Information Literacy at Wurzburg University Library N2 - Eines der Schlagworter, das die Hochschullehre in den letzten Jahren für sich entdeckt hat, ist das Blended Learning. Nach einer Ernüchterung über das Potential von eLearning, setzte sich die Idee der Kombination aus Präsenzlehre und eLearning immer stärker durch . Die Entstehung zahlreicher universitärer eLearning- und Blended-Learning-Zentren tritt den Beweis dafür an, dass die Ergänzung des herkommlichen Hochschulunterrichts durch eLearning-Einheiten nicht mehr nur das Steckenpferd einiger technikaffiner Dozenten ist, sondern weitreichende Akzeptanz an Hochschulen gefunden hat. Die Universitiit Würzburg hat 2007 mit dem Beginn ihres Blended-Learning-Projekts entschieden, der Hochschuldidaktik einen höheren Stellenwert einzuräumen und der Entwicklung neuer Systeme damit Tür und Tor zu öffnen. Inzwischen ist nicht nur die Lernplattform Moodle unter der Bezeichnung WueCampus universitätsweit etabliert. Im Zuge des Blended-Learning-Projekts wurde auch ein computerbasiertes System für fallbasierte Trainingseinheiten (CaseTrain) entwickelt, das die Präsenzlehre in fast allen Fakultäten unterstützt und damit problembasiertes Lernen aus der Medizin und den Rechtswissenschaften in andere Fakultäten trägt. Auch die Universitätsbibliothek hat schnell das Potential dieser Software für die Vermittlung von Informationskompetenz erkannt und setzt das System seit 2008 mit zunehmender Akzeptanz bei den Studierenden ein. N2 - One of the catchwords that has recently been established in university lecturing is blended learning. After disillusionment about the potential of e-learning, the idea of combining face-to-face facilitation with computer-mediated instruction became more and more prominent. The development of numerable e-learning and blended-learning centers submits evidence that the supplementation of conventional university lecturing by e-learning is no longer a hobbyhorse of a few technophile lecturers. It has rather become highly accepted by universities. The University of Wurzburg decided to increase the importance of didactics and to support the development of new systems by initiating a blended-learning project in 2007. Meanwhile, not only the learning management system Moodle, which is called WueCampus in Wurzburg, has been established at the university. In the course of the blended-learning project, a computer-based system for case-based training units (Case Train) was additionally developed. It supports face-to-face instruction in almost every faculty and carries case-based learning from the faculties of medicine and law into further faculties. The university library soon recognized the potential of this software for teaching information literacy and has used the system successfully since 2008. KW - Informationskompetenz KW - Problemorientiertes Lernen KW - CaseTrain KW - Information Literacy KW - Problem-based Learning KW - CaseTrain Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-65313 ER - TY - JOUR A1 - Woźnicki, Piotr A1 - Laqua, Fabian Christopher A1 - Messmer, Katharina A1 - Kunz, Wolfgang Gerhard A1 - Stief, Christian A1 - Nörenberg, Dominik A1 - Schreier, Andrea A1 - Wójcik, Jan A1 - Ruebenthaler, Johannes A1 - Ingrisch, Michael A1 - Ricke, Jens A1 - Buchner, Alexander A1 - Schulz, Gerald Bastian A1 - Gresser, Eva T1 - Radiomics for the prediction of overall survival in patients with bladder cancer prior to radical cystectomy JF - Cancers N2 - (1) Background: To evaluate radiomics features as well as a combined model with clinical parameters for predicting overall survival in patients with bladder cancer (BCa). (2) Methods: This retrospective study included 301 BCa patients who received radical cystectomy (RC) and pelvic lymphadenectomy. Radiomics features were extracted from the regions of the primary tumor and pelvic lymph nodes as well as the peritumoral regions in preoperative CT scans. Cross-validation was performed in the training cohort, and a Cox regression model with an elastic net penalty was trained using radiomics features and clinical parameters. The models were evaluated with the time-dependent area under the ROC curve (AUC), Brier score and calibration curves. (3) Results: The median follow-up time was 56 months (95% CI: 48–74 months). In the follow-up period from 1 to 7 years after RC, radiomics models achieved comparable predictive performance to validated clinical parameters with an integrated AUC of 0.771 (95% CI: 0.657–0.869) compared to an integrated AUC of 0.761 (95% CI: 0.617–0.874) for the prediction of overall survival (p = 0.98). A combined clinical and radiomics model stratified patients into high-risk and low-risk groups with significantly different overall survival (p < 0.001). (4) Conclusions: Radiomics features based on preoperative CT scans have prognostic value in predicting overall survival before RC. Therefore, radiomics may guide early clinical decision-making. KW - bladder cancer KW - radical cystectomy KW - radiomics KW - outcome prediction Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-288098 SN - 2072-6694 VL - 14 IS - 18 ER -