Lack of Impact of Presence of Positive C4d Staining in Capillaries in Myocardial Biopsies on Long-term Survival of Heart Transplant Patients.

BACKGROUND: The long-term survival of 209 consecutive patients (mean age, 46 ± 15 years) from a single center with ≥1 diagnostic myocardial biopsy after heart transplantation was analyzed. METHODS: Patients were considered as C4d positive if a capillary staining (immunohistochemistry in paraffin samples) was observed in ≥1 myocardial biopsy. Data were analyzed according to pathologic consensus of antibody mediated rejection definition of C4d+ positivity: 2004 definition in group A and the 2013 definition in group B and compared with their respective controls, composed of patients who do not meet those criteria. Age, follow-up time, and number of biopsies were comparable between patients with C4d+ and controls in both groups. Follow-up was 100% complete with mean of observation time 2143 days. RESULTS: During the follow-up period, 62 patients died (group A: C4d+ 32% vs controls 29%; group B: C4d+ 36% vs controls 29% [P = NS]). There were no differences in survival between patients with positive staining and without C4d+ staining when Kaplan-Meier survival curves were compared. CONCLUSIONS: The presence of C4d positive staining in myocardial capillaries of heart biopsies of patients after heart transplantation, as an isolated finding, was not related to worse long-term survival.

Risk stratification of patients with severe heart failure awaiting heart transplantation-prospective national registry POLKARD HF.

UNLABELLED: Most methods used in the risk assessment of heart transplant candidates do not include new biomarkers. AIMS: The aim of the study was to examine the value of NTproBNP and hsCRP and their combined use together with HFSS score in the risk assessment of patients with heart failure enlisted for heart transplantation. METHODS: Data of 658 patients enlisted for heart transplantation in all active transplantation centers were stored in a prospective registry. The composite end point-death or urgent transplantation was recorded during the follow-up. RESULTS: Death or urgent transplantation was recorded in 161 (24%) of pts. 102 (15%) patients died and 59 (9%) were transplanted urgently. Kaplan-Meier curves for risk of death or urgent transplantation where highly significant when pts were stratified by the quartiles of NT proBNP (P < .000001) or quartiles according to the hsCRP level on admission (P < .002). In the multivariate Cox proportional hazard model, the significance was observed for NTproBNP (P < .01) and HFSS (P < .02), and borderline significance for hsCRP (P = .057). When ROC analyses of the area under the curve (AUC) values were considered, AUC area was for HFSS - 0.645, for NTproBNP - 0.653 and for hsCRP - 0.566. When all those variables were included together in the model, the AUC value rose to 0.6943. Based on those results a weighted risk model with all three parameters was proposed. CONCLUSION: HFSS, NTproBNP and hsCRP levels are independent stratification variables of survival or need for urgent heart transplantation. Their predictive value is moderately increased when they are analyzed together.

The influence of the recipient's body weight on the probability to obtain a heart transplant-POLKARD HF registry.

INTRODUCTION: The aim of the study was to analyze the influence of body weight of the adult heart recipient on the chance to obtain a transplant. METHODS: We analyzed the data from all 658 patients listed for heart transplantation. RESULTS: During the follow-up period, 325 (49%) of listed patients underwent transplantation with 102 (15%) succumbing before heart transplantation. The mean weight of transplanted patients was 73.7 +/- 13.7 kg and 81.2 +/- 15.4 kg for those not transplanted (P < .00001). Patients were divided according to body weight in two groups: light = below 80 kg (n = 360) or heavy > or = 80 kg or above (n = 297). On the transplant list, 111 heavy patients (37%) versus 213 light patients (59%) underwent the procedure, a significant difference. The waiting time among light patients was 255 versus heavy patients of 395 days (P < .005). There was a similar number of deaths before transplantation among the light (n = 56 360 patients; 15.5%) versus the heavy group (49/297; 16%). Upon multivariate Cox mode analysis independent factors related to not receiving a heart transplant were greater weight, systolic blood pressure, pulmonary vascular resistance, Heart Failure Survival Score (HFSS) score and lower N-terminal pro-brain natriuretic peptide (NTproBNP) levels. CONCLUSIONS: Among adult heart transplant candidates, the chance to receive a heart transplant significantly decreased when the recipient's weight exceeded 80 kg. Patients with a body weight more than 110 kg had a poor chance to receive a heart transplantation.