Background. The cardiac implications of obesity in kidney transplant recipients are not well-described. Methods. We examined associations of body mass index (BMI) at transplant with posttransplant cardiac risk among 1102 renal allograft recipients at a single center in 1991 to 2004. Cumulative posttransplant incidences of congestive heart failure (CHF), atrial fibrillation (AF), myocardial infarction, and a composite of these cardiac diagnoses were estimated by the Kaplan-Meier method. Bivariate (hazards ratio) and covariate (adjusted hazards ratio) relationships of BMI increments with cardiac risk were modeled by Cox’s regression. We also systematically reviewed the literature on BMI and cardiac events after transplant. Results. In the local data, 5-year cumulative incidence of any cardiac diagnosis rose from 8.67% to 29.35% across the lowest to highest BMI quartiles (P=0.02), driven primarily by increases in CHF and AF. In contrast, the rate of myocardial infarction did not differ by BMI quartile (P=0.56). Each 5 U BMI increase predicted 25% higher risk of the cardiac composite (hazards ratio 1.25, 95% CI 1.07–1.47, P=0.005), a relationship that persisted with significance after covariate adjustment (adjusted hazards ratio 1.19, 95% CI 1.00–1.43, P=0.049). BMI independently predicted cardiac risk in subcohorts with pretransplant heart disease and with nondiabetic renal failure. Data from 26 original articles support BMI as a risk factor for posttransplant CHF and AF, whereas findings for coronary/ischemic outcomes are inconsistent and predominantly negative. Conclusions. High BMI at transplant predicts increased cardiac risk, especially of CHF and AF. Further research should examine whether obesity treatment modifies cardiac risk after kidney transplantation.

Objectives: Poor medication adherence is common in end-stage renal disease and may cause suboptimal outcomes and increased healthcare costs. We assessed the association between regimen complexity, perceived burden of oral therapy (BOT) and medication adherence in a large sample of hemodialysis (HD) patients. Methods: 1,238 HD patients in 54 Italian centers participated. Data were collected on patients’ socio-demographic characteristics, perceived BOT, quality of life, healthcare satisfaction, social support and medication adherence with a self-administered questionnaire. Data on medication regimen, comorbidities, hospitalizations, and transplant listing status were provided by the nursing staff. We estimated the adjusted association of regimen complexity, BOT and medication adherence with logistic regression. Results: There were 789 (64%) men and the median age was 67 years. Mean daily burden was 9.7 tablets and 48% of patients were adherent to medication prescriptions. The number of tablets prescribed in the medication regimen was associated to adherence likelihood after adjustment for possible confounders. Perceived BOT moderated the association between tablet count and self-reported adherence. Conclusion: Poor adherence was very common in our sample. Reducing tablet burden might help patients be adherent. However, our results suggest that modulating regimen complexity might be ineffective if patients’ negative attitudes toward medications are not addressed concurrently.

Most of the studies on peripheral artery disease (PAD) focused on above-the-ankle artery disease, while less is known about foot artery disease. We hypothesize a scenario were two different diseases can be present in PAD patients, big artery disease (BAD) and small artery disease (SAD), overlapping at the foot level; the aim of this study is to evaluate their prevalence and their correlation with risk factors and critical limb ischemia (CLI) in a large cohort of patients with symptomatic PAD. We retrospectively reviewed 1915 limbs of 1613 patients (502 females, mean age 72.4±10.8 years) who underwent angiography between September 2009 and November 2013. Age, sex, diabetes, smoke history, high blood pressure, dialysis and BMI were considered as risk factors. Logistic regression was performed to test the association of arterial lesions patterns and CLI, and to evaluate the association between risk factors and lesion localization. SAD was present in 414 patients (25.2%). Patients with disease of any of plantar, dorsalis pedis arteries and SAD faced higher risk of CLI (OR=13.25, 95% CI: 1.69-104.16). SAD was associated with diabetes and dialysis (both: OR=4.85; dialysis only: OR=3.60; diabetes only: OR=1.70; none: reference OR; P<0.01), weight (underweight: OR=1.10; normal: reference OR; overweight: OR=0.81; obese: OR=0.60; P=0.03), while women and tobacco smokers were less likely to have SAD (women: OR=0.68; P<0.01; tobacco use: OR=0.54; P<0.01). SAD was strongly and independently associated with CLI, diabetes and dialysis. Thus, SAD should be regarded as a leading actor in CLI.