Background
The prevalence of heart failure is steadily increasing and has reached epidemic proportions in Germany and Europe. Approximately 1–2% of all adults suffer from heart failure, with a prevalence of more than 10% in the aging population above 70 years of age [
1].
In the past decades, pharmacological treatment of heart failure with a reduced ejection fraction has been a story of great success, with significant improvements of morbidity and mortality. In addition, cardiac devices and surgical and interventional techniques now offer a wide selection of therapeutic options for patients with heart failure and are well documented to improve symptoms and/or prognosis. Overall, currently available therapies have resulted in a reduction of hospitalization events of 30–50% in comparison to the era before the introduction of ACE-inhibitors and beta-blockers [
1], the current cornerstones of heart failure therapy.
Still, the outcome of patients with advanced heart failure in New York Heart Association Class III-IV remains poor. The 5-year mortality of patients hospitalized for heart failure is still approximately 50%, worse than many cancers [
2]. For these patients with advanced stages of the disease and persistent symptoms under optimal therapy, orthotopic heart transplantation serves as an important treatment option to improve quality of life and prognosis. However, this treatment is limited by the availability of donor organs. In Germany, the mismatch between patients on the waiting list and available donor organs is growing and following the public discussion of recent physician misconduct in organ allocation for liver transplantation, donor numbers have come to a historic low (
http://www.dso.de/dso-pressemitteilungen/einzelansicht/article/zahl-der-organspender-in-2013-weiter-stark-gesunken.html). Therefore, the allocation of the few available organs to the large number of patients in demand is a growing medical and ethical dilemma.
In the Eurotransplant region, organ allocation is prioritized by waiting time and medical urgency, where patients can be assigned a high-urgency (HU) status if they fulfill specific criteria of disease severity. While initially introduced as a rare exception to bypass the regular waiting list to allow transplantation within a period of days to a few weeks, it has now become the rule. Due to the growing number of patients on HU-status and the decline in organ donation, currently more than 80% of cardiac transplantation are performed on HU-status [
3], resulting in a predominant organ allocation to the very sick patients, which intrinsically have a worse outcome also after transplantation.
Several approaches have been proposed to account for this ethical dilemma, including the prioritization of registered donors as potential recipients [
4] or a change in the rules for consent to organ donation [
5]. Recently, a novel scoring system for prioritization was proposed by a consortium of large European transplant centers and Eurotransplant that takes into account both waiting list mortality as well as expected post-transplant prognosis. In analogy to the established scheme for lung transplantation (the Lung Allocation Score), this novel (and so far theoretic) system was termed “Cardiac Allocation Score” (CAS) and tested on a Eurotransplant cohort of 448 patients for whom high urgency status had been applied for [
6]. However, baseline characteristics of listed patients and outcome differs to a certain degree between centers and so far no published data exists on how such novel scoring system would relate to a single center transplant population. In addition, currently no published data exist on CAS-values outside the high-urgency population. Here, we therefore performed a retrospective calculation of the CAS for a cohort of 73 patients transplanted in our medium-volume transplant center in Southern Germany, including patient on all Eurotransplant urgency levels, to assess the distribution of the score and the predictive value of the CAS for our patient population.
Discussion
The contemporary confrontation with the dilemma of a growing waiting list and a sicker patient population demands a fair allocation system for cardiac transplantation with clearly defined criteria. While medical urgency and waiting time currently determine the priority for organ allocation, the current system in Germany already demands that the treating physicians take into account the expected outcome after transplantation when listing patients for transplant [
10]. Yet, how precisely such a prognostic prediction should be made remains undefined and currently leaves ample room for interpretation. In Germany, an increasing public and political interest and involvement in the issue of organ allocation could be observed in the past year, e.g. when the suitability of a pediatric patient with congenital heart disease and cerebral deficits after survived cardiac arrest was controversially discussed. The definition of clear medical and ethical standards is therefore essential to ensure a fair and transparent allocation process and to protect patients and physicians from external influence and judicial compromise.
For patients awaiting lung transplantation, a lung allocation score (LAS) was recently introduced in Germany. In contrast to the current practice in heart transplantation, this score prioritizes patients with a high expected mortality on the waiting list, but only if a high benefit from transplantation is also expected and post post-transplant prognosis is favorable. The recently proposed Cardiac Allocation Score largely follows this reasoning, to maximize the effect of each cardiac transplantation and to gain the most benefit per organ.
Essentially, the proposed CAS is a combination of two scores: one to calculate the expected mortality on the waiting list while the patient is waiting for an organ and a second score to calculate the expected prognosis of the individual patient after transplantation. The detailed methodology is described in the original publication by Smits and coworkers [
6]. Briefly, after calculating expected mortality before and after transplantation, these risks are weight against a baseline population risk. The CAS is then derived by subtracting these two values and by performing a statistical adjustment to yield values between 1 and 100.
After evaluation of several prediction models, Smits et al. eventually chose the Seattle Heart Failure Model (SHFM) for prediction of waiting list mortality and the Index for Mortality Prediction After Cardiac Transplantation (IMPACT) score for prediction of prognosis after transplantation. In our current report, we now retrospectively tested the predictive value of two models for estimation of post-transplant survival: The IMPACT and the CARRS-score. We found the IMPACT-score superior in its ability to predict prognosis in our patient population, also because of the small number of patients in our cohort in the high risk stratum of the CARRS-score.
While Smits et al. tested their model in a larger Eurotransplant cohort from whom high urgency or urgency status was requested in an 8 months period, our study describes a mixed population of patients transplanted on all levels of urgency including a large number of patients on T-status. Interestingly, there is a significant overlap in CAS-values between the different levels of urgency, indicating that the inclusion of post-transplant benefit in the allocation algorithm will result in a significant alteration of organ distribution between the current urgency groups. This is a more than marginal affect, as in our patient population the average CAS score of the patients on T-status was even higher than of the patients on HU-status that survived to transplant.
One still open question is how to best include the patients on mechanical support into the distribution algorithm. As these patients usually do not die directly from heart failure, their mortality risk is not adequately reflected by the SHFM-value, which would result in an unwanted disadvantage in the CAS allocation algorithm. The currently proposed solution to this dilemma would be an adjustment of the CAS by 2–3 points, to account for increased non-heart failure related mortality risk, e.g. by infection and stroke. However, in our patient population, the average CAS-value of VAD-supported patients remained on average lower than of non-VAD-supported patients. Interestingly, this was primarily not due to the SHFM-component of the CAS, as one could expect, but due to a higher IMPACT-score. Looking at the individual parameters of this prediction model, infection was significantly more common in VAD-supported patients, which resulted in a higher IMPACT and lower CAS-value. As VAD-related infections can result in an upgrade to high-urgency status (and therefore a higher likelihood of transplantation in the past), one can only speculate on the potential implications of this factor upon introduction of the CAS, when the current high-urgency system will be abandoned. In how far the Cardiac Allocation Score has to be further adjusted for patients with VAD-complications remains to be determined on the solid statistical basis of a larger cohort.
Our study has several limitations. Obviously, this is a retrospective single center study on patients recruited and followed up in our center, therefore all statistical analyses are limited by the sample size. In addition, several of our patients had to be excluded, e.g. because of support by a total artificial heart which does not allow CAS-calculation. Our comparison of CAS-values in patients transplanted on T or HU-status is intrinsically also a comparison of different decades, as in the recent past, transplantation from T-status was a rare exception in our center as well as Germany as a whole. Furthermore, our studies focused exclusively on patients that survived to transplantation and therefore allows no conclusion about the urgency-component of the CAS, as patients that died on the waiting list were not included in the analysis.
Acknowledgements
We would like to thank Dr. Jaqueline Smits from the Eurotransplant International Foundation Leiden for sharing the statistical tools for calculation of the CAS. The authors declare no conflict of interest. The study was funded by intramural sources only.