TY - JOUR A1 - Assfalg, Volker A1 - Selig, Katharina A1 - Tolksdorf, Johanna A1 - van Meel, Marieke A1 - de Vries, Erwin A1 - Ramsoebhag, Anne‐Marie A1 - Rahmel, Axel A1 - Renders, Lutz A1 - Novotny, Alexander A1 - Matevossian, Edouard A1 - Schneeberger, Stefan A1 - Rosenkranz, Alexander R. A1 - Berlakovich, Gabriela A1 - Ysebaert, Dirk A1 - Knops, Noël A1 - Kuypers, Dirk A1 - Weekers, Laurent A1 - Muehlfeld, Anja A1 - Rump, Lars‐Christian A1 - Hauser, Ingeborg A1 - Pisarski, Przemyslaw A1 - Weimer, Rolf A1 - Fornara, Paolo A1 - Fischer, Lutz A1 - Kliem, Volker A1 - Sester, Urban A1 - Stippel, Dirk A1 - Arns, Wolfgang A1 - Hau, Hans‐Michael A1 - Nitschke, Martin A1 - Hoyer, Joachim A1 - Thorban, Stefan A1 - Weinmann‐Menke, Julia A1 - Heller, Katharina A1 - Banas, Bernhard A1 - Schwenger, Vedat A1 - Nadalin, Silvio A1 - Lopau, Kai A1 - Hüser, Norbert A1 - Heemann, Uwe T1 - Repeated kidney re‐transplantation—the Eurotransplant experience: a retrospective multicenter outcome analysis JF - Transplant International N2 - In Eurotransplant kidney allocation system (ETKAS), candidates can be considered unlimitedly for repeated re‐transplantation. Data on outcome and benefit are indeterminate. We performed a retrospective 15‐year patient and graft outcome data analysis from 1464 recipients of a third or fourth or higher sequential deceased donor renal transplantation (DDRT) from 42 transplant centers. Repeated re‐DDRT recipients were younger (mean 43.0 vs. 50.2 years) compared to first DDRT recipients. They received grafts with more favorable HLA matches (89.0% vs. 84.5%) but thereby no statistically significant improvement of patient and graft outcome was found as comparatively demonstrated in 1st DDRT. In the multivariate modeling accounting for confounding factors, mortality and graft loss after 3rd and ≥4th DDRT (P < 0.001 each) and death with functioning graft (DwFG) after 3rd DDRT (P = 0.001) were higher as compared to 1st DDRT. The incidence of primary nonfunction (PNF) was also significantly higher in re‐DDRT (12.7%) than in 1st DDRT (7.1%; P < 0.001). Facing organ shortage, increasing waiting time, and considerable mortality on dialysis, we question the current policy of repeated re‐DDRT. The data from this survey propose better HLA matching in first DDRT and second DDRT and careful selection of candidates, especially for ≥4th DDRT. KW - allocation KW - child KW - fourth KW - graft KW - kidney KW - loss KW - repeated KW - re‐transplantation KW - survival KW - third Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-214161 VL - 33 IS - 6 SP - 617 EP - 631 ER - TY - JOUR A1 - Gabriel, Katharina M. A. A1 - Jírů-Hillmann, Steffi A1 - Kraft, Peter A1 - Selig, Udo A1 - Rücker, Victoria A1 - Mühler, Johannes A1 - Dötter, Klaus A1 - Keidel, Matthias A1 - Soda, Hassan A1 - Rascher, Alexandra A1 - Schneider, Rolf A1 - Pfau, Mathias A1 - Hoffmann, Roy A1 - Stenzel, Joachim A1 - Benghebrid, Mohamed A1 - Goebel, Tobias A1 - Doerck, Sebastian A1 - Kramer, Daniela A1 - Haeusler, Karl Georg A1 - Volkmann, Jens A1 - Heuschmann, Peter U. A1 - Fluri, Felix T1 - Two years' experience of implementing a comprehensive telemedical stroke network comprising in mainly rural region: the Transregional Network for Stroke Intervention with Telemedicine (TRANSIT-Stroke) JF - BMC Neurology N2 - Background Telemedicine improves the quality of acute stroke care in rural regions with limited access to specialized stroke care. We report the first 2 years' experience of implementing a comprehensive telemedical stroke network comprising all levels of stroke care in a defined region. Methods The TRANSIT-Stroke network covers a mainly rural region in north-western Bavaria (Germany). All hospitals providing acute stroke care in this region participate in TRANSIT-Stroke, including four hospitals with a supra-regional certified stroke unit (SU) care (level III), three of those providing teleconsultation to two hospitals with a regional certified SU (level II) and five hospitals without specialized SU care (level I). For a two-year-period (01/2015 to 12/2016), data of eight of these hospitals were available; 13 evidence-based quality indicators (QIs) related to processes during hospitalisation were evaluated quarterly and compared according to predefined target values between level-I- and level-II/III-hospitals. Results Overall, 7881 patients were included (mean age 74.6 years +/- 12.8; 48.4% female). In level-II/III-hospitals adherence of all QIs to predefined targets was high ab initio. In level-I-hospitals, three patterns of QI-development were observed: a) high adherence ab initio (31%), mainly in secondary stroke prevention; b) improvement over time (44%), predominantly related to stroke specific diagnosis and in-hospital organization; c) no clear time trends (25%). Overall, 10 out of 13 QIs reached predefined target values of quality of care at the end of the observation period. Conclusion The implementation of the comprehensive TRANSIT-Stroke network resulted in an improvement of quality of care in level-I-hospitals. KW - pilot project KW - care tempis KW - ischemic stroke KW - thrombolysis KW - areas KW - time KW - hospitals KW - mortality KW - outcomes KW - quality Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229214 VL - 20 ER -