Abstract
Peripheral vascular disease (PVD) portends increased morbidity and mortality in patients with heart failure. In those with advanced heart failure, heart transplantation (HT) is the only causative therapy to increase survival. However, little is known about the impact of symptomatic PVD on survival of HT recipients in large multicenter cohorts. The aim of this study was to investigate an association between recipient symptomatic PVD and survival after HT. We analyzed 20,297 patients from the United Network of Organ Sharing data set. Survival analysis using a control cohort established by propensity matching was performed. There was an increased prevalence of traditional cardiovascular risk factors in 711 patients with symptomatic PVD compared with 19,586 patients without PVD. Patients with pre-transplant symptomatic PVD had increased post-transplant mortality compared with those without PVD (1-, 5- and 10-year survival rate 91.5% vs 94.9%, 74.8% vs 82.6%, 48.6% vs 54.7%, respectively, log-rank p <0.001). On multivariate analysis based on the propensity matching, factors associated with a lower survival rate were presence of PVD (hazard ratio 1.20, 95% confidential interval 1.02 to 1.42, p = 0.030), and female gender (hazard ratio 1.22, 95% confidence interval 1.02 to 1.47, p = 0.034). In conclusion, patients with symptomatic PVD have a lower survival rate after HT. Symptomatic PVD should be considered an independent risk factor for poor prognosis in patients undergoing HT evaluation.
Heart transplantation (HT) is the only causative treatment for patients with advanced heart failure (HF). However, because of the scarcity of donors, selection of appropriate candidates has become more rigorous. The screening methods for candidacy include evaluation for peripheral vascular disease (PVD) when warranted, and in those candidates with moderate-to-severe PVD, HT is contraindicated in 30% of US transplant centers.1 Furthermore, because of the longevity of HT recipients, there is still a concern for patients with HF and PVD to develop accelerated and new-onset atherosclerosis after HT. Previous studies have shown a 10% incidence of developing an accelerated form of atherosclerosis leading to PVD after HT.2 Additionally, the role of immunosuppression (i.e., prednisone, cyclosporine) may enhance metabolic abnormalities such as hyperlipidemia that may further advance atherosclerotic vascular disease. Earlier studies have shown that the presence of PVD is a risk factor for death from any cause after cardiac transplantation.3 Because of the paucity of data on the impact of survival in HT recipients with PVD, we sought to analyze the United Network of Organ Sharing (UNOS) database to examine the association between symptomatic PVD in patients with advanced HF and survival after HT.
Methods
Standard transplant analysis and research files with followup were obtained from the UNOS database. These data included all heart transplant recipients and donors in the United States and reported to the Organ Procurement and Transplantation Network from 1990 to 2010. There is one record per waiting list registration/transplantation event, and another record includes the most recent follow-up information (including patient and graft survival) reported to the Organ Procurement and Transplantation Network as of the date the file was created. To ensure the confidentiality of centers and patients, the data set does not include any patient or transplant center identifiers except for a unique patient identification number. Follow-up data are represented as 1 record per follow-up per transplantation event. Some patients have multiple records in a given year, whereas others have only 1 record. Patients lost to follow-up were censored at the time of last known follow-up. The Institutional Review Board of Columbia University Medical Center approved the present study.
Patients selected were of age ≥ 18 years undergoing first-time HT from 1990 to 2010 (n = 20,297). PVD was defined as the presence or absence of symptomatic PVD (yes or no) based on the UNOS Heart Transplant Recipient Registration Form. Thus, patients were stratified according to the presence or absence of symptomatic PVD and were excluded if they underwent other simultaneous organ transplantation or if demographical, diagnostic, or follow-up data were missing. Patients were monitored from the date of transplantation to 2010, which was the last day of follow-up provided by UNOS. Baseline characteristics including age, gender, body mass index, cause of HF, and renal and liver function parameters were collected.
Continuous variables are reported as mean ± SD, and comparison was carried out with the Student t test. Categorical variables are reported as percentages, and comparison was done with the chi-square test. The outcome of interest was death after transplantation. The patients who were alive at the last follow-up were censored. The survival is presented with Kaplan-Meier plots and was compared with the log-rank test. In addition, median survival time was estimated along with its 95% confidence interval. The univariate and multivariate Cox proportional hazards regression analyses were carried out to assess the risk of PVD on survival. In addition, analysis was carried out using propensity score. The propensity score was calculated with a multivariate logistic regression model on the PVD status with the adjustment of following factors: age, gender, race/ethnicity, cause of HF (ischemic or nonischemic), hypertension, diabetes, dialysis, previous stroke, creatinine level, and total bilirubin. Then, 3 adjusted Cox proportional hazards models were fitted: one with 2 covariates (PVD and continuous propensity score), one with 3 covariates (PVD, gender, and continuous propensity score), the other with covariates identified in the analysis of total cohort. Furthermore, conditional logistic regression analysis was carried out with 5:1 ratio of propensity score matching. For all statistical analyses, a 2-tailed p <0.05 was considered significant. Statistical analyses were performed using SAS software, version 9.2 (SAS Institute Inc., Cary, North Carolina). Propensity score matching is done by “radius” matching with an allowable absolute difference 0.01 between exact propensity scores with an SAS macro on matching propensity score at 5:1 ratio.
Results
The demographic and clinical characteristics before matching and the balance achieved after matching are summarized in Tables 1 and 2, respectively. The study population included 20,297 adult recipients from the UNOS data registry. Of these, 711 (3.5%) had symptomatic PVD and 19,586 (96.5%) did not have symptomatic PVD. After matching for significant imbalances in patient characteristics, patients in the PVD group compared with the no PVD group were mostly Caucasians and more frequently have a smoking history (Table 2).
Table 1.
Baseline clinical characteristics (entire cohort)
| Variables | Peripheral Vascular Disease
|
p-Value | |
|---|---|---|---|
| Yes (n = 711) | No (n = 19,586) | ||
| Age (years) | 56.4 ± 8.0 | 51.7 ± 11.8 | <0.001 |
| Male (n, %) | 591 (83.1%) | 14941 (76.3%) | <.0001 |
| White | 604 (85.0%) | 15166 (77.4%) | <.0001 |
| Black | 72 (10.1%) | 2702 (13.8%) | |
| Hispanic | 27 (3.8%) | 1216 (6.2%) | |
| Other | 8 (1.1%) | 502 (2.6%) | |
| Etiology | <.0001 | ||
| Ischemic | 529 (74.4%) | 9143 (46.7%) | |
| Non-ischemic | 131 (18.4%) | 8169 (41.7%) | |
| Other | 51 (7.2%) | 2274 (11.6%) | |
| Body mass index (kg/m2) | 26.6 ± 4.8 | 26.3 ± 5.1 | 0.176 |
| Hypertension | 381 (53.6%) | 7352 (37.5%) | <.0001 |
| Diabetes mellitus | 270 (38.0%) | 3713 (19.0%) | <.0001 |
| Smoker | 95 (13.4%) | 1874 (9.6%) | <.0001 |
| Dialysis at registration | 17 (2.4%) | 262 (1.3%) | 0.018 |
| Stroke | 114 (16.0%) | 1048 (5.4%) | <.0001 |
| Creatinine (mg/dL) | 1.49 ± 0.9 | 1.39 ± 1.2 | 0.004 |
| Total bilirubin (mg/dL) | 1.21 ± 2.1 | 1.35 ± 3.2 | 0.098 |
| Albumin (g/dL) | 3.72 ± 0.8 | 3.65 ± 0.8 | 0.108 |
Table 2.
Baseline clinical characteristics (propensity cohort)
| Variables | Peripheral Vascular Disease
|
p-Value | |
|---|---|---|---|
| Yes (n = 711) | No (n = 3,526) | ||
| Age (years) | 56.4 ± 8.0 | 56.5 ± 10.3 | 0.598 |
| Male (n, %) | 591 (83.1%) | 2959 (84.5%) | 0.362 |
| White | 604 (85.0%) | 2914 (82.6%) | <.0001 |
| Black | 72 (10.1%) | 276 (7.8%) | |
| Hispanic | 27 (3.8%) | 194 (5.5%) | |
| Other | 8 (1.1%) | 142 (4.0%) | |
| Etiology | <.0001 | ||
| Ischemic | 529 (74.4%) | 2931 (83.1%) | |
| Non-ischemic | 131 (18.4%) | 416 (11.8%) | |
| Other | 51 (7.2%) | 179 (5.1%) | |
| Body mass index (kg/m2) | 26.6 ± 4.8 | 26.8 ± 5.1 | 0.428 |
| Hypertension | 381 (53.6%) | 1944 (55.8%) | 0.521 |
| Diabetes mellitus | 270 (38.0%) | 1526 (43.4%) | 0.011 |
| Smoker | 95 (13.4%) | 416 (11.8%) | 0.002 |
| Dialysis at registration | 17 (2.4%) | 97 (2.8%) | 0.594 |
| Stroke | 114 (16.0%) | 579 (16.4%) | 0.829 |
| Creatinine (mg/dL) | 1.49 ± 0.9 | 1.49 ± 1.6 | 0.960 |
| Total bilirubin (mg/dL) | 1.21 ± 2.1 | 1.23 ± 2.5 | 0.813 |
| Albumin (g/dL) | 3.72 ± 0.8 | 3.63 ± 0.8 | 0.039 |
Multivariate analysis in the entire data set demonstrated that the presence of PVD, black race, hypertension, diabetes mellitus, and dialysis at registration were independent factors associated with increase mortality in HT recipients (Table 3). After propensity analysis, only the presence of PVD and female gender were independent predictors of mortality (Table 4).
Table 3.
Univariate and multivariate Cox proportional hazards models on mortality after heart transplantation based on entire cohort
| Variable | Univariate
|
Multivariate
|
||
|---|---|---|---|---|
| HR (95% CI) | p-Value | HR (95% CI) | p-Value | |
| PVD (yes = 1, no = 0) | 1.26 (1.11–1.44) | 0.0003 | 1.16 (1.01–1.33) | 0.033 |
| Age (year-old) | 1.00 (0.99–1.00) | 0.483 | ||
| Gender (female = 1, male = 0) | 1.06 (1.00–1.12) | 0.036 | 1.06 (0.99–1.13) | 0.059 |
| White (reference) | 1 | 1 | ||
| Black | 1.18 (1.10–1.27) | <0.0001 | 1.18 (1.09–1.27) | <0.0001 |
| Hispanic | 1.07 (0.97–1.19) | 0.187 | 1.06 (0.95–1.18) | 0.329 |
| Other | 1.21 (1.05–1.41) | 0.011 | 1.21 (1.02–1.43) | 0.027 |
| Etiology (ischemic = 1, non-ischemic = 0) | 1.05 (0.99–1.10) | 0.064 | 1.05 (0.99–1.11) | 0.093 |
| Hypertension (yes = 1, no = 0) | 1.10 (1.05–1.16) | <0.0001 | 1.07 (1.02–1.13) | 0.012 |
| Diabetes mellitus (yes = 1, no = 0) | 1.22 (1.15–1.30) | <0.0001 | 1.23 (1.15–1.31) | <0.0001 |
| Smoker (yes = 1, no = 0) | 0.99 (0.86–1.15) | 0.929 | ||
| Dialysis at registration (yes = 1, no = 0) | 1.42 (1.16–1.73) | 0.0006 | 1.28 (1.01–1.61) | 0.042 |
| Stroke (yes = 1, no = 0) | 1.12 (1.01–1.24) | 0.028 | 1.10 (0.99–1.23) | 0.090 |
| Creatinine (mg/dL) | 1.01 (0.99–1.03) | 0.096 | 1.01 (0.99–1.02) | 0.457 |
| Total bilirubin (mg/dL) | 0.99 (0.99–1.01) | 0.654 | ||
| Albumin (mg/dL) | 1.01 (0.96–1.05) | 0.810 | ||
Table 4.
Univariate and multivariate conditional logistic regression models on mortality after heart transplantation based on the propensity cohort
| Variable | Univariate
|
Multivariate
|
||
|---|---|---|---|---|
| HR (95% CI) | p-Value | HR (95% CI) | p-Value | |
| PVD (yes = 1, no = 0) | 1.20 (1.02–1.42) | 0.033 | 1.20 (1.02–1.42) | 0.030 |
| Age (year-old) | 1.00 (0.99–1.01) | 0.817 | ||
| Gender (female = 1, male = 0) | 1.22 (1.01–1.46) | 0.037 | 1.22 (1.02–1.47) | 0.034 |
| White (reference) | 1 | 0.210 | ||
| Black | 0.96 (0.74–1.24) | 0.755 | ||
| Hispanic | 1.42 (0.99–2.01) | 0.051 | ||
| Others | 1.94 (0.71–5.33) | 0.199 | ||
| Etiology (ischemic = 1, non-ischemic = 0) | 0.82 (0.60–1.11) | 0.194 | ||
| Hypertension (yes = 1, no = 0) | 0.92 (0.78–1.08) | 0.311 | ||
| Diabetes mellitus (yes = 1, no = 0) | 1.05 (0.88–1.26) | 0.588 | ||
| Smoker (yes = 1, no = 0) | 1.02 (0.47–2.22) | 0.968 | ||
| Dialysis at registration (yes = 1, no = 0) | 1.36 (0.92–2.02) | 0.129 | ||
| Stroke (yes = 1, no = 0) | 1.01 (0.78–1.32) | 0.929 | ||
| Creatinine (mg/dL) | 1.01 (0.97–1.05) | 0.778 | ||
| Total bilirubin (mg/dL) | 0.99 (0.97–1.02) | 0.590 | ||
| Albumin (mg/dL) | 1.02 (0.87–1.18) | 0.828 | ||
Kaplan-Meier survival analysis revealed that the survival rate for the PVD versus no PVD group was 91.5% versus 94.9% at 1 year, 74.8 % versus 82.6% at 5 years, and 48.6% versus 54.7% at 10 years, respectively (log-rank p <0.001; Figure 1). After propensity analysis, there was still a lower survival rate in the PVD group compared with that in the no PVD group (Figure 1).
Figure 1.

(A) Kaplan-Meier survival curves of patients with and without PVD. The Blue line indicates patients with PVD, and the red line indicates patients without PVD. (B) Kaplan-Meier survival curves of patients (propensity cohort) with and without PVD. The Blue line indicates patients with PVD, and the red line indicates patients without PVD.
Discussion
Findings from our study demonstrate a strong association between the presence of symptomatic PVD and the burden of risk factors for development of atherosclerosis (hypertension, dyslipidemia, diabetes, smoking, renal dysfunction, and stroke). HF of ischemic origin was strongly associated with PVD suggesting a systemic atherosclerotic process in this cohort. On multivariate analysis, the presence of cardiovascular risk factors such as symptomatic PVD, diabetes, and dialysis at registration were shown to be independent predictors of worse survival in HT recipients. The significant association of symptomatic PVD with increased mortality after propensity score analysis suggests that the impact of PVD was independent of the measured baseline characteristics that include key cardiovascular risk factors.
Strong associations between PVD and hard outcomes are probably due to an interaction of confounding variables such as age, coronary artery disease, diabetes, and hypertension. However, previous studies have shown PVD as an independent predictor of mortality in patients with advanced HF. Jones et al4 demonstrated that patients with PVD and a decrease in baseline functional capacity were older (median age 67 years), actively smoking, had ischemic cardiomyopathy, diabetes, hypertension, myocardial infarction, and stroke. After controlling for these confounding variables, the presence of PVD remained an independent predictor for all-cause mortality and hospitalization. More recently, in a well-balanced propensity-matched population of patients with chronic HF with a history of PVD, there was a 40% increase for all-cause mortality after risk adjustment for traditional cardiovascular risk factors.5 Similar to and expanding these studies, we observed after propensity analysis that the presence of symptomatic PVD remained a predictor for mortality in HT recipients. One likely explanation for these clinical outcomes is the presence of diffuse and advanced atherosclerotic disease in patients with PVD, which can further progress after HT.6,7 This progress might be associated with declining exercise capacity to avoid claudication and an increased morbidity and mortality.8,9
Despite advances in the treatment of HT recipients, there is still a major concern for progression of atherosclerotic disease, which can lead to significant morbidity and mortality. Previous studies have shown that HT recipients develop vascular disease within 3 years after HT, with 1/2 of them showing accelerated atherosclerosis including abdominal aortic aneurysms and aortoiliac disease.10–12 Using the UK national study database, Ganesh et al reported that PVD is a risk factor for early (<30 days) post-HT mortality.13 More recently, however, this finding has been challenged in small cohort studies that did not reveal an association between recipient PVD and post-transplant survival.14
Our study, to our knowledge, is the first revealing the impact of PVD on post-HT clinical outcomes using a large multicenter cohort of patients from the UNOS database. Russo et al15 had analyzed the pretransplant characteristics of recipients and survival after combined heart-kidney transplantation. Among the risk factors associated with worse survival, a history of PVD was found to have a fourfold risk. Consistent with those findings and even after multivariate analysis and balancing for confounding variables, the presence of symptomatic PVD was a strong predictor of mortality after HT in our analysis. A possible explanation for the differences in post-HT survival seen in our analysis could be the persistence of cardiovascular risk factors and systemic atherosclerosis in ischemic cardiomyopathy recipients. Previous investigations have shown that patients with ischemic cardiomyopathy undergoing HT have a significant presence of PVD and have a lower long-term survival rate compared with those with idiopathic cardiomyopathy, which could be related to the existence of cardiovascular risk factors that produced the cardiomyopathy originally.16–18 This cardiovascular risk profile of ischemic cardiomyopathy transplant recipients might be associated with the overall vascular function after HT. Previous investigations have demonstrated that HT recipients with previous ischemic cardiomyopathy have a blunted vascular function during the first year after HT because of continued endothelial dysfunction and oxidative stress, which can lead to decrease long-term survival.19–21 This plausible mechanism could explain the decrease in the survival rate seen in the PVD group as early as 1 year after transplantation, which persisted to decrease throughout the course of the study.
Our study is limited by being a retrospective analysis of the UNOS database and the data available to us. In our study using a large cohort of patients, it was unlikely to be affected by missing data. However, it is known that registries have variability in data entry, which can affect analysis and interpretation of the results. More importantly, the UNOS reporting system defines PVD only as symptomatic PVD, but this criterion varies by center, and there is no category to determine the degree of severity based on functionality or need for revascularization procedures. Additionally, only 3.5% of the entire cohort had symptomatic PVD, which is lower compared with the incidence reported by others.9,22 This is noticeable in the group categorized as no PVD in which a greater proportion of patients had ischemic heart disease as the cause of their HF. It is possible that PVD may have been underdiagnosed in those with pre-existing symptomatic PVD who underwent revascularization procedures.
Footnotes
Disclosures
The authors have no conflicts of interest to disclose.
References
- 1.Mehra MR, Kobashigawa J, Starling R, Russell S, Uber PA, Parameshwar J, Mohacsi P, Augustine S, Aaronson K, Barr M. Listing criteria for heart transplantation: International Society for Heart and Lung Transplantation guidelines for the care of cardiac transplant candidates—2006. J Heart Lung Transpl. 2006;25:1024–1042. doi: 10.1016/j.healun.2006.06.008. [DOI] [PubMed] [Google Scholar]
- 2.Bull DA, Hunter GC, Copeland JG, Bernhard VM, Rosado LJ, McIntyre KE, Sethi GK, Putnam CW. Peripheral vascular disease in heart transplant recipients. J Vasc Surg. 1992;16:546–553. [PubMed] [Google Scholar]
- 3.Selvin E, Erlinger TP. Prevalence of and risk factors for peripheral arterial disease in the United States: results from the National Health and Nutrition Examination Survey, 1999–2000. Circulation. 2004;110:738–743. doi: 10.1161/01.CIR.0000137913.26087.F0. [DOI] [PubMed] [Google Scholar]
- 4.Jones WS, Clare R, Ellis SJ, Mills JS, Fischman DL, Kraus WE, Whellan DJ, O’Connor CM, Patel MR. Effect of peripheral arterial disease on functional and clinical outcomes in patients with heart failure (from HF-ACTION) Am J Cardiol. 2011;108:380–384. doi: 10.1016/j.amjcard.2011.03.057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ahmed MI, Aronow WS, Criqui MH, Aban I, Love TE, Eichhorn EJ, Ahmed A. Effects of peripheral arterial disease on outcomes in advanced chronic systolic heart failure: a propensity-matched study. Circ Heart Fail. 2010;3:118–124. doi: 10.1161/CIRCHEARTFAILURE.109.866558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mohler ER, 3rd, Bundens W, Denenberg J, Medenilla E, Hiatt WR, Criqui MH. Progression of asymptomatic peripheral artery disease over 1 year. Vasc Med. 2012;17:10–16. doi: 10.1177/1358863X11431106. [DOI] [PubMed] [Google Scholar]
- 7.Aboyans V, McClelland RL, Allison MA, McDermott MM, Blumenthal RS, Macura K, Criqui MH. Lower extremity peripheral artery disease in the absence of traditional risk factors. The Multi-Ethnic Study of Atherosclerosis. Atherosclerosis. 2011;214:169–173. doi: 10.1016/j.atherosclerosis.2010.10.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Garg PK, Tian L, Criqui MH, Liu K, Ferruci L, Guralnik JM, Tan J, McDermott MM. Physical activity during daily life and mortality in patients with peripheral arterial disease. Circulation. 2006;114:242–248. doi: 10.1161/CIRCULATIONAHA.105.605246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Inglis SC, McMurray JJ, Böhm M, Schaufelberger M, van Veldhuisen DJ, Lindberg M, Dunselman P, Hjalmarson A, Kjekshus J, Waagstein F, Wedel H, Wikstrand J, CORONA Study Group Intermittent claudication as a predictor of outcome in patients with ischaemic systolic heart failure: analysis of the Controlled Rosuvastatin Multinational Trial in Heart Failure trial (CORONA) Eur J Heart Fail. 2010;12:698–705. doi: 10.1093/eurjhf/hfq070. [DOI] [PubMed] [Google Scholar]
- 10.Julia P, Amrein C, Ghalayini B, Jebara V, Guillemain R, Roussin I, Carpentier A, Fabiani JN. Peripheral vascular involvement in heart transplant patients. Ann Vasc Surg. 1994;8:266–270. doi: 10.1007/BF02018174. [DOI] [PubMed] [Google Scholar]
- 11.Erdoes LS, Hunter GC, Venerus BJ, Hall KA, Bull DA, Berman SS, Pallos LL, Copeland JC. Prospective evaluation of peripheral vascular disease in heart transplant recipients. J Vasc Surg. 1995;22:434–440. doi: 10.1016/s0741-5214(95)70011-0. [DOI] [PubMed] [Google Scholar]
- 12.Takayama H, Salerno CT, Aldea GS, Verrier ED. Characteristics of extracoronary vascular disease in heart transplant recipient. J Card Surg. 2008;23:459–463. doi: 10.1111/j.1540-8191.2008.00586.x. [DOI] [PubMed] [Google Scholar]
- 13.Ganesh JS, Rogers CA, Banner NR, Bonser RS. Donor cause of death and medium-term survival after heart transplantation: a United Kingdom national study. J Thorac Cardiovasc Surg. 2005;129:1153–1159. doi: 10.1016/j.jtcvs.2004.09.029. [DOI] [PubMed] [Google Scholar]
- 14.Takayama H, Nathens AB, Merry H, Aldea GS, Fishbein DP, Verrier ED, Salerno CT. Is pre-transplant vascular disease a risk factor for mortality and morbidity after heart transplantation? Eur J Cardiothorac Surg. 2007;31:457–461. doi: 10.1016/j.ejcts.2006.12.014. [DOI] [PubMed] [Google Scholar]
- 15.Russo MJ, Rana A, Chen JM, Hong KN, Gelijns A, Moskowitz A, Widmann WD, Ratner L, Naka Y, Hardy MA. Pretransplantation patient characteristics and survival following combined heart and kidney transplantation: an analysis of the United Network for Organ Sharing Database. Arch Surg. 2009;144:241–246. doi: 10.1001/archsurg.2008.559. [DOI] [PubMed] [Google Scholar]
- 16.Romero-Rodríguez N, Lage-Gallé E, Guisado-Rasco A, Nevado-Portero J, Rodríguez RS, Machuca MG, Marquez MS, Martínez-Martínez A. Survival after cardiac transplantation: influence of the previous cardiopathy in the recipient. Transpl Proc. 2010;42:3173–3174. doi: 10.1016/j.transproceed.2010.06.009. [DOI] [PubMed] [Google Scholar]
- 17.Agüero J, Almenar L, Martínez-Dolz L, Moro J, Izquierdo MT, Cano O, Salvador A. Differences in clinical profile and survival after heart transplantation according to prior heart disease. Transpl Proc. 2007;39:2350–2352. doi: 10.1016/j.transproceed.2007.06.068. [DOI] [PubMed] [Google Scholar]
- 18.Aziz T, Burgess M, Rahman AN, Campbell CS, Yonan N. Cardiac transplantation for cardiomyopathy and ischemic heart disease: differences in outcome up to 10 years. J Heart Lung Transpl. 2001;20:525–533. doi: 10.1016/s1053-2498(00)00327-2. [DOI] [PubMed] [Google Scholar]
- 19.Roig E, Cuppoletti A, Masotti M, Kianco R, Vallejos I, Sitges M, Ortiz J, Pérez-Villa F. Assessment of peripheral endothelial-dependent vasodilatation within the first year after heart transplantation. J Heart Lung Transpl. 2009;28:299–304. doi: 10.1016/j.healun.2009.01.002. [DOI] [PubMed] [Google Scholar]
- 20.Patel AR, Kuvin JT, Pandian NG, Smith JJ, Udelson JE, Mendelsohn ME, Konstam MA, Karas RH. Heart failure etiology affects peripheral vascular endothelial function after cardiac transplantation. J Am Coll Cardiol. 2001;37:195–200. doi: 10.1016/s0735-1097(00)01057-3. [DOI] [PubMed] [Google Scholar]
- 21.Witman MA, Fjeldstad AS, McDaniel J, Ives SJ, Zhao J, Barrett-O’Keefe Z, Nativi JN, Stehlik J, Wray DW, Richardson RS. Vascular function and the role of oxidative stress in heart failure, heart transplant, and beyond. Hypertension. 2012;60:659–668. doi: 10.1161/HYPERTENSIONAHA.112.193318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hebert K, Lopez B, Michael C, Franco E, Dias A, Trahan P, Huang S, Tamariz L, Arcement L. The prevalence of peripheral arterial disease in patients with heart failure by race and ethnicity. Congest Heart Fail. 2010;16:118–121. doi: 10.1111/j.1751-7133.2010.00140.x. [DOI] [PubMed] [Google Scholar]
