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Medizinstudium, Examina und die Berufstätigkeit sind stressig; belastbare Daten zum allgemeinen und spezifischen Stress während des Medizinstudiums liegen nur in geringem Ausmaß vor. Wir haben die Stressbelastung und Resilienz der Frankfurter Medizinstudenten in den Kohorten 1. vorklinisches Semester, 1. klinisches Semester und PJ-Eintritt erhoben (Trierer Inventar zum chronischen Stress TICS, altersnormierter Mittelwert = 50; Resilienz-Skala RS11, kein Optimum, hohe Werte weisen auf Resilienz hin); an der Studie nahmen jeweils mehr als 90% der entsprechenden Kohorte teil. Während zu Studienbeginn der Summenwert (altersnormierter T-Wert) bei 56% lag, fiel dieser im 1. klin. Semester auf 54%, und stieg zum PJ nur gering wieder an. Unter den Subskalen fiel auf, dass Überlastung, Überforderung und chronische Besorgnis parallel zum Gesamtscore abfielen, die Subskala Unzufriedenheit jedoch zunahm (1. vorklin. Semester 53%, 1. klin. Semester 55%, PJ 58%). Die höchsten Werte in der PJ-Gruppe fanden sich ebenfalls für die Subskalen soziale Überlastung, Mangel an sozialer Anerkennung und Soziale Spannungen. Niedrigere Stressskala-Werte zeigten sich nach dem Staatsexamen M1 in den Subskalen Überlastung, Erfolgsdruck, Überforderung, soziale Isolierung, chronische Besorgnis und dem Summenscore. Überraschenderweise fiel der Summenwert der Resilienz vom 1. vorklinischen und 1. klinischen Semester (80,7%) auf 76,7% vor dem PJ-Eintritt, dieser Abfall zeigte sich für alle 11 Einzelitems dieses Fragebogens in gleicher Weise. Während eine Abnahme der Belastungsabhängigen Skalen Überlastung und Überforderung nach dem Staatsexamen M1 erwartet worden war, überraschte die im Gruppenvergleich abnehmende Resilienz bei den Studenten vor dem Praktischen Jahr. Ebenso überraschend war die fast kontinuierliche Zunahme auf der Subskala Unzufriedenheit während des Studiums. Inwieweit diese Differenzen auf das Studium zurückzuführen sind oder auf eine überzufällige Häufung bei den Studienabbrechern, wird in einer prospektiven Fortführung dieser Studie untersucht.
Das Medizinstudium und die spätere Berufstätigkeit werden als stressig angesehen; dennoch liegen nur wenige Daten zur Stressbelastung von Medizinstudenten und Ärzten vor. Als Teil einer umfangreichen Erhebung zur Stressbelastung haben wir die Stressbelastung und Resilienz von Frankfurter Medizinstudenten in den ersten Wochen des 1. vorklinischen Semesters erhoben (Trierer Inventar zum chronischen Stress TICS, Resilienz-Skala RS11); an der Studie nahmen 348 von 383 Studienanfängern (90,8%) teil. Übereinstimmend mit Ergebnissen aus dem 5. Semester zeigen die Studenten des 1. Semesters hohe Werte insbesondere in den Teilskalen Überlastung und Überforderung; auffallend sind ebenfalls hohe Werte in den Skalen Soziale Isolation und Summenscore. Ein T-Score (altersnormierter Normalwert = 50) über der 2fachen Vertrauensgrenze findet sich im Summenscore (17,2%), chronische Besorgnis (17,8%), Überforderung (11,2%) und Überlastung (22,7%), während in anderen Skalen entsprechende Werte nur bei 1–5% der Teilnehmer erreicht wurden. Die Skalen Überlastung, Erfolgsdruck, chronische Besorgnis sowie der Summenscore sind weitgehend normalverteilt (Schiefe <0,2), dieser Wert beträgt für die anderen Skalen 0,45–0,65. Zwischen den Unterskalen finden sich Korrelationskoeffizienten >0,5 für Überlastung und Überforderung sowie chronischer Besorgnis, zwischen Überforderung und mangelnder sozialer Anerkennung, sozialer Isolierung und chronischer Besorgnis sowie zwischen sozialen Spannungen, sozialer Isolierung und chronischer Besorgnis. Parallel wurde die Resilienz mit Hilfe des Fragebogens RS11 erhoben (kein Optimum, hohe Werte weisen auf Resilienz hin). Bei einer Maximalpunktzahl von 77 erreichten die Studenten 62,2 +/– 8,8 Punkte, bei einer ausgeprägten rechtsschiefen Verteilung. Zwischen der Stressbelastung und der Resilienz fand sich keine relevante Korrelation, mit einem Maximalwert von –0,267 zwischen dem RS11-Score und der Subskala Überforderung. Die Daten belegen ein bereits zu Studienbeginn vorliegendes hohes Maß an Überlastung und Überforderung; dieser Stress korreliert nicht mit der Fähigkeit, mit Stress adäquat umzugehen (Resilienz).
Neuronal dynamics differs between wakefulness and sleep stages, so does the cognitive state. In contrast, a single attractor state, called self-organized critical (SOC), has been proposed to govern human brain dynamics for its optimal information coding and processing capabilities. Here we address two open questions: First, does the human brain always operate in this computationally optimal state, even during deep sleep? Second, previous evidence for SOC was based on activity within single brain areas, however, the interaction between brain areas may be organized differently. Here we asked whether the interaction between brain areas is SOC. ...
Im Rahmen des Vortrags wird zunächst ein Überblick über die aktuell angewandten Linsensysteme in der (refraktiven) Kataraktchirurgie sowie im Rahmen des RLA gesprochen. Hierzu zählen die monofokalen sphärischen Standardlinsen, aber auch asphärische, torische und multifokale Implantate.
Speziell wird auf die Ergebnisse einer Studie zu einem neuen multifokalen-torischen Implantat eingegangen. Der Schwerpunkt des Vortrages liegt dann weiterhin auf den trifokalen Korrektionsmöglichkeiten. Zum einen wird die sog. binokulare Trifokalität, bei der zwei multifokale Intraokularlinsen unterschiedlicher Addition implantiert werden, besprochen. Durch die Anpassung jeweils eines Auges an den Intermediär- bzw. Nahbereich soll so bei verringerten optischen Phänomenen ein deutliches Sehen in drei Hauptdistanzen ermöglicht werden. Weiterhin befasst sich der Vortrag aber auch mit den neuen echten trifokalen Optiksystemen, welche ebenfalls deutliches Sehen in verschiedenen Entfernungen gewährleisten können.
Im dritten Teil des Vortrages werden aktuelle Langzeitergebnisse aus einer FDA Studie zur Evaluation einer kammerwinkelgestützten phaken Intraokularlinse, mit speziellem Augenmerk auf den cornealen Endothelzellverlust, sowie eine neuartige sulcusgestütze phake Intraokularlinse mit zentralem Loch zur Glaukomvermeidung vorgestellt.
Oral presentation: 23rd World Congress of the World Society of Cardio-Thoracic Surgeons. Split, Croatia. 12-15 September 2013.
Background: Partial upper sternotomy (PUS) is established less invasive approach for single and double valve surgery. Reports of aortic surgery performed through PUS are rare.
Methods: The records of 52 patients undergoing primary elective surgery on the proximal aorta through PUS between 2005 and 2011 were reviewed. Patients mean age was 57 years, 35% were in NYHA Class III or IV, 59% had recent cardiac decompensation, and 17% had pulmonary hypertension. The PUS was taken down to the 4th left intercostal space in 44 patients (85%).
Results: No conversion to full sternotomy was necessary. The aortic cross-clamp, cardiopulmonary bypass and operative times averaged 136 ± 20 min., 186 ± 36 min. and 327 ± 83 min., respectively. In eight patients, the right axillary artery was cannulated for establishing cardiopulmonary bypass; the others were cannulated centrally. All patients except one received a procedure on the ascending aorta, either replacement in 30 (58%) or reduction aortoplasty in 21 (40%). Aortic root replacement was additionally performed in 31 patients (60%), including David in 20 (38%) and Ross procedure in 6 (11.5%). The aortic arch was replaced either partially in 5 (10%) or totally in 3 (6%) patients, in moderate hypothermia employing antegrade cerebral perfusion. Additional procedures, included mitral valve repair in 15 (29%) patients and coronary grafting. Ventilation time, intensive care unit and hospital stay averaged 17 ± 12 hours, 2 ± 1, and 11 ± 9 days. Chest drainage was 470 ± 380 ml/24 hours. Permanent neurologic deficit did not occur. Wound dehiscence was observed in a single patient (2%). Thirty-day and hospital mortality were not observed.
Conclusions: Less invasive surgery on the aortic root, ascending aorta and aortic arch can be performed safely and reproducibly. Potential benefits include a minimized risk of wound dehiscence and reduced postoperative bleeding. The PUS does not compromise the quality of the operation.
When studying real world complex networks, one rarely has full access to all their components. As an example, the central nervous system of the human consists of 1011 neurons which are each connected to thousands of other neurons. Of these 100 billion neurons, at most a few hundred can be recorded in parallel. Thus observations are hampered by immense subsampling. While subsampling does not affect the observables of single neuron activity, it can heavily distort observables which characterize interactions between pairs or groups of neurons. Without a precise understanding how subsampling affects these observables, inference on neural network dynamics from subsampled neural data remains limited.
We systematically studied subsampling effects in three self-organized critical (SOC) models, since this class of models can reproduce the spatio-temporal activity of spontaneous activity observed in vivo. The models differed in their topology and in their precise interaction rules. The first model consisted of locally connected integrate- and fire units, thereby resembling cortical activity propagation mechanisms. The second model had the same interaction rules but random connectivity. The third model had local connectivity but different activity propagation rules. As a measure of network dynamics, we characterized the spatio-temporal waves of activity, called avalanches. Avalanches are characteristic for SOC models and neural tissue. Avalanche measures A (e.g. size, duration, shape) were calculated for the fully sampled and the subsampled models. To mimic subsampling in the models, we considered the activity of a subset of units only, discarding the activity of all the other units.
Under subsampling the avalanche measures A depended on three main factors: First, A depended on the interaction rules of the model and its topology, thus each model showed its own characteristic subsampling effects on A. Second, A depended on the number of sampled sites n. With small and intermediate n, the true A¬ could not be recovered in any of the models. Third, A depended on the distance d between sampled sites. With small d, A was overestimated, while with large d, A was underestimated.
Since under subsampling, the observables depended on the model's topology and interaction mechanisms, we propose that systematic subsampling can be exploited to compare models with neural data: When changing the number and the distance between electrodes in neural tissue and sampled units in a model analogously, the observables in a correct model should behave the same as in the neural tissue. Thereby, incorrect models can easily be discarded. Thus, systematic subsampling offers a promising and unique approach to model selection, even if brain activity was far from being fully sampled.
Network or graph theory has become a popular tool to represent and analyze large-scale interaction patterns in the brain. To derive a functional network representation from experimentally recorded neural time series one has to identify the structure of the interactions between these time series. In neuroscience, this is often done by pairwise bivariate analysis because a fully multivariate treatment is typically not possible due to limited data and excessive computational cost. Furthermore, a true multivariate analysis would consist of the analysis of the combined effects, including information theoretic synergies and redundancies, of all possible subsets of network components. Since the number of these subsets is the power set of the network components, this leads to a combinatorial explosion (i.e. a problem that is computationally intractable). In contrast, a pairwise bivariate analysis of interactions is typically feasible but introduces the possibility of false detection of spurious interactions between network components, especially due to cascade and common drive effects. These spurious connections in a network representation may introduce a bias to subsequently computed graph theoretical measures (e.g. clustering coefficient or centrality) as these measures depend on the reliability of the graph representation from which they are computed. Strictly speaking, graph theoretical measures are meaningful only if the underlying graph structure can be guaranteed to consist of one type of connections only, i.e. connections in the graph are guaranteed to be non-spurious. ...
Poster presentation: 28th Annual Scientific Meeting of the Society for Immunotherapy of Cancer (SITC)
Significant progress has been made over the last decade towards realizing the potential of natural killer (NK) cells for cancer immunotherapy. NK cells can respond rapidly to transformed and stressed cells, and have the intrinsic potential to extravasate and reach their targets in almost all body tissues. In addition to donor-derived primary NK cells, also continuously expanding cytotoxic cell lines such as NK-92 are being considered for adoptive cancer immunotherapy. High cytotoxicity of NK-92 has previously been shown against malignant cells of hematologic origin in preclinical studies, and general safety of infusion of NK-92 cells has been established in phase I clinical trials. To enhance their therapeutic utility, we genetically modified NK-92 cells to express chimeric antigen receptors (CAR) specific for tumor-associated surface antigens. Such CAR were composed of a tumor-specific scFv antibody fragment fused via hinge and transmembrane domains to intracellular signaling moieties such as CD3 zeta chain, or composite fusion molecules also containing a costimulatory protein domain in addition to CD3 zeta. For development towards clinical applications, here a codon-optimized second generation CAR was constructed that consists of an ErbB2-specific scFv antibody domain fused via a linker to a composite CD28-CD3 zeta signaling domain. GMP-compliant protocols for vector production, lentiviral transduction and expansion of a genetically modified NK-92 single cell clone (NK-92/5.28.z) were established. Functional analysis of NK-92/5.28.z cells revealed high and stable CAR expression, selective cytotoxicity against ErbB2-expressing but otherwise NK-resistant tumor cells of different origins in vitro, as well as homing to ErbB2-expressing tumors in vivo. Furthermore, antigen specificity and selective cytotoxicity of these cells were retained in vivo, resulting in antitumoral activity against subcutaneous and intracranial glioblastoma xenografts in NSG mice. Ongoing work now focuses on the development of these cells for adoptive immunotherapy of ErbB2-positive glioblastoma.