Objective To determine whether there is a survival benefit associated with cardiac transplantation in Germany. Design Prospective observational cohort study. Setting All 889 adult patients listed for a first heart transplant in Germany in 1997. Main outcome measure Mortality, stratified by heart failure severity.Results Within 1 year after listing, patients with a predicted high risk had the highest global death rate (51% v 32% and 29% for medium and low risk patients respectively; P < 0.0001), had the highest risk of dying on the waiting list (32% v 20% and 20%; P = 0.0003), and were more likely to receive a transplant (48% v 45% and 41%; P = 0.01). Differences between the risk groups in outcome after transplantation did not reach significance (P = 0.2). Transplantation was not associated with a reduction in mortality risk for the total cohort, but it did provide a survival benefit for the high risk group. Conclusion Cardiac transplantation in Germany is currently associated with a survival benefit only in patients with a predicted high risk of dying on the waiting list. Patients with a predicted low or medium risk have no reduction in mortality risk associated with transplantation; they should be managed with organ saving approaches rather than transplantation.

The results of horseshoe kidney transplantation, either en bloc or split, are equal to the posttransplant results of kidneys with a normal anatomy. Bearing in mind the shortage of donors, horseshoe kidneys should certainly be used for transplantation.

The aim of this study is to provide a description of patients on the waiting list for heart transplants in Germany; the focus is on comparing the era after implementation of the new transplant law with the former era. This study used data from the Eurotransplant registry. The population consisted of all patients who registered for heart transplantation in Germany between January 1990 and May 2009. Patients were followed up to the earliest of the following events: heart transplantation, death, or end of the observation period. The actual mortality rates were calculated using a competing risk methodology. The proportion of patients on the waiting list aged 65 years or older has increased from 1.9 % in 1990 to 8.3 % in 1997, 7.8 % in 2000 and 12.6 % on December 31, 2008. The 1-year waiting list mortality rate, expressed as the proportion of patients who die within 1 year after being listed for heart transplantation decreased in the period 2001-2009 compared to the period 1991-2000. Patients registered in the period from 1991-2000 had a 25.9 % chance of dying prior to heart transplantation compared to 18.9 % for patients who were registered in the years 2001-2009. In the registration period 1981-1990, a transplant candidate had a 64.3 % chance of undergoing heart transplantation within the first year after being listed, while for patients who were registered in the period 2001-2009 this probability has been reduced to 40.2 %. Despite the fact that patient profiles have worsened and access to transplantation decreased, mortality rates of patients on the heart transplant waiting list have decreased. These data show that treatment of patients with advanced heart disease has improved in Germany.

The COCPIT study, performed in a complete national cohort of adult patients consecutively listed for cardiac transplantation in Germany in 1997, found a beneficial effect only in the group that was at high risk of dying from heart failure without transplantation. If these results can be reproduced in other countries, the discussion on the respective roles of pharmacological and organ-saving surgical therapies for advanced heart failure, medical urgency and waiting time as heart transplantation allocation criteria, and the feasibility of a randomized clinical trial testing the survival benefit of transplantation must be reopened.

A method for the determination of crystal structures from powder diffraction data is presented that circumvents the difficulties associated with separate indexing. For the simultaneous optimization of the parameters that describe a crystal structure a genetic algorithm is used together with a pattern matching technique based on auto and cross correlation functions.<br>