Continuing dilemmas in the management of lymphoma during pregnancy: review of a 10-point case-based questionnaire.

Introduction: Due to the rarity of lymphoma during pregnancy, management guidelines are based upon evidence from retrospective studies and case reports. Here, we review the major dilemmas in the field and examine the approach of hemato-oncologists in Israel to the management of lymphoma in pregnancy.

Methodology: We performed a literature search on the PubMed database using keywords for all papers on the subject from 1990-2014.

USage of chitosan for Femoral (USF) haemostasis after percutaneous procedures: a comparative open label study.

Aims: To test the efficacy and safety of a chitosan pad for femoral haemostasis as an adjunct to manual compression. Haemostasis of the femoral artery after coronary angiography by manual compression is time consuming and uncomfortable for the patient. Closure devices are costly and do not reduce vascular complication rate.

Six- and twelve-month clinical outcomes after implantation of prokinetic BMS in patients with acute coronary syndrome.

Aims: To evaluate the Prokinetic bare metal stent implanted in patients presenting with acute coronary syndrome (ACS).

Methods: We retrospectively studied ACS patients who underwent percutaneous coronary intervention (PCI) with a Prokinetic stent implantation. Excluded were patients presenting with cardiogenic shock, undergoing PCI to left main coronary artery (LM), or having implantation of additional stents other than Prokinetic.

Adaptive cardiac resynchronization therapy device based on spiking neurons architecture and reinforcement learning scheme.

Spiking neural network (NN) architecture that uses Hebbian learning and reinforcement-learning schemes for adapting the synaptic weights is implemented in silicon and performs dynamic optimization according to hemodynamic sensor for a cardiac resynchronization therapy (CRT) device. The spiking NN architecture dynamically changes the atrioventricular (AV) delay and interventricular (VV) interval parameters according to the information provided by the intracardiac electrograms (IEGMs) and hemodynamic sensors. The spiking NN coprocessor performs the adaptive part and is controlled by a deterministic algorithm master controller.

Adaptive cardiac resynchronization therapy device: a simulation report.

We report the results of a simulation of an adaptive cardiac resynchronization therapy (CRT) device performing biventricular pacing in which the atrioventricular (AV) delay and interventricular (VV) interval parameters are changed dynamically in response to data provided by the simulated IEGMs and simulated hemodynamic sensors. A learning module, an artificial neural network, performs the adaptive part of the algorithm supervised by an algorithmic deterministic module, internally or externally from the implanted CRT or CRT-D. The simulated cardiac output obtained with the adaptive CRT device is considerably higher (30%) especially with higher heart rates than in the nonadaptive CRT mode and is likely to be translated into improvement in quality of life of patients with congestive heart failure.