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Aim: To describe differences in patient characteristics and outcomes by ethnicity in patients with diabetes mellitus (DM) and heart failure (HF) with reduced ejection fraction (HFrEF, ejection fraction ≤35%) in a multi-ethnic cohort., Methods and Results: Patient level data from two cohorts (HF-ACTION and ASIAN-HF) were combined, and patients grouped by self-reported ethnicity. DM was defined as the presence of a clinical diagnosis and/or receiving anti-diabetic therapy. A total of 6214 (1324 whites, 674 blacks, 1297 Chinese, 1510 Indians, 717 Malays, 692 Japanese/Koreans) patients were included. The overall prevalence of DM was 39.5% (n = 2454). The prevalence of DM was lowest in whites (29.3%), followed by Japanese/Koreans (34.1%), blacks (35.9%), Chinese (42.3%), Indians (44.2%), and highest in Malays (51.9%). The correlation between age, sex, body mass index, coronary artery disease, hypertension, atrial fibrillation, peripheral vascular disease and chronic kidney disease with DM differed significantly by ethnicity (P for interaction <0.05). The strongest correlations were seen in Malay women, whites with obesity, Indians with coronary artery disease and hypertension, and blacks with chronic kidney disease. On multivariable analyses, DM was significantly associated with the composite of 1-year overall mortality/HF hospitalization (hazard ratio 1.37, 95% confidence interval 1.19-1.57; P < 0.001), with no interaction by ethnicity (P for interaction =0.31)., Conclusions: There is marked heterogeneity in the prevalence and correlates of DM among different ethnic groups with HF worldwide. Subgroups particularly predisposed to DM warrant special attention, since DM increases the combined risk of morbidity and mortality in all ethnicities with HF., (© 2018 The Authors. European Journal of Heart Failure © 2018 European Society of Cardiology.)

Background: Deaths from drug intoxication have increased in the United States but outcomes of recipients of orthotopic heart transplantation (OHT) from these donors are not well characterized., Methods: We performed a retrospective analysis of the United Network for Organ Sharing's STAR database between January 2000 and March 2014 and assessed mortality and retransplantation using adjusted Cox models by mechanism of donor death., Results: Of the 31,660 OHTs from 2000 to 2014, 1233 (3.9%) were from drug intoxication. These donors were more likely to be female, white, with greater tobacco use and higher BMI compared to donors who died of other mechanisms. Drug intoxication accounted for 1.1% of OHT donors in 2000 and 6.2% in March 2014. No significant difference was observed in 10-year mortality (adjusted hazard ratio [HR], 95% confidence interval [CI]: 0.99, 0.87-1.13), 10-year retransplantation (adjusted HR 0.84, 0.49-1.41) or 1-year and 3-year rehospitalization with other mechanisms of death compared to drug intoxication., Conclusion: There has been a large increase in OHT donors who die of drug intoxication in the United States. OHT outcomes from these donors are similar to those dying from other mechanisms. These data have important implications for donor selection in context of the ongoing opioid epidemic., (Copyright © 2018. Published by Elsevier Inc.)

Background: Perceived risks of hyperkalemia and acute renal insufficiency may limit use of mineralocorticoid receptor antagonist (MRA) therapy in patients with heart failure, especially those with diabetes mellitus or chronic kidney disease., Methods and Results: Using clinical registry data linked to Medicare claims, we analyzed patients hospitalized with heart failure between 2005 and 2013 with a history of diabetes mellitus or chronic kidney disease. We stratified patients by MRA use at discharge. We used inverse probability-weighted proportional hazards models to assess associations between MRA therapy and 30-day, 1-year, and 3-year mortality, all-cause readmission, and readmission for heart failure, hyperkalemia, and acute renal insufficiency. We performed interaction analyses for differential effects on 3-year outcomes for reduced, borderline, and preserved ejection fraction. Of 16 848 patients, 12.3% received MRA therapy at discharge. Higher serum creatinine was associated with lower odds of MRA use (odds ratio, 0.66; 95% confidence interval, 0.61-0.71); serum potassium was not (odds ratio, 1.00; 95% confidence interval, 0.90-1.11). There was no mortality difference between groups. MRA therapy was associated with greater risks of readmission for hyperkalemia and acute renal insufficiency and lower risks of long-term all-cause readmission. Patients on MRA therapy with borderline or preserved ejection fraction had greater risks of readmission for hyperkalemia ( P =0.02) and acute renal insufficiency ( P <0.001); patients with reduced ejection fraction did not., Conclusions: Among patients with heart failure and diabetes mellitus or chronic kidney disease, MRA use was associated with lower risk of all-cause readmission despite greater risk of hyperkalemia and acute renal insufficiency., (© 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.)

Background: Use of left ventricular assist devices (LVADs) for treatment of advanced heart failure has expanded significantly over the past decade. However, concomitant use of heart failure medical therapies after implant is poorly characterized., Methods and Results: We examined the use of heart failure medications before and after LVAD implant in adult patients enrolled in the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) between 2008 and 2013 (N = 9359). Using logistic regression, we examined relationships between patient characteristics and medication use at 3 months after implant. Baseline rates of heart failure therapies before implant were 38% for angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs), 55% for β-blockers, 40% for mineralocorticoid receptor antagonists (MRAs), 87% for loop diuretics, 54% for amiodarone, 11% for phosphodiesterase inhibitors, 22% for warfarin, and 54% for antiplatelet agents. By 3 months after implant, the rates were 50% for ACE inhibitors or ARBs, 68% for β-blockers, 33% for MRAs, 68% for loop diuretics, 42% for amiodarone, 21% for phosphodiesterase inhibitors, 92% for warfarin, and 84% for antiplatelet agents. In general, age, preimplant INTERMACS profile, and prior medication use were associated with medication use at 3 months., Conclusions: Overall use of neurohormonal antagonists was low after LVAD implant, whereas use of loop diuretics and amiodarone remained high. Heart failure medication use is highly variable, but appears to generally increase after LVAD implantation. Low neurohormonal antagonist use may reflect practice uncertainty in the clinical utility of these medications post-LVAD., (Copyright © 2016. Published by Elsevier Inc.)

Background: A subset of patients hospitalized with acute heart failure experiences in-hospital worsening heart failure, defined as persistent or worsening signs or symptoms requiring an escalation of therapy., Methods: We analyzed data from the Acute Decompensated Heart Failure National Registry (ADHERE) linked to Medicare claims to develop and validate a risk model for in-hospital worsening heart failure. Our definition of in-hospital worsening heart failure included events such as escalation of medical therapy (eg, inotropic medications) >12hours after admission. We considered candidate risk prediction variables routinely assessed at admission, including age, medical history, biomarkers, and renal function. We used logistic regression with robust standard errors to generate a risk model in a 66% random derivation sample; we validated the model in the remaining 34%. We evaluated the calibration and discrimination of the model in both samples., Results: We evaluated 23,696 patients hospitalized with acute heart failure. Baseline characteristics were well matched in the derivation and validation samples, and the occurrence of in-hospital worsening heart failure was similar in both samples (15.4% and 15.6%, respectively). In the multivariable model, the strongest predictors of in-hospital worsening heart failure were increased troponin and creatinine. The model was well calibrated and had good discrimination in the derivation sample (c statistic, 0.74) and validation sample (c statistic, 0.72)., Conclusions: The ADHERE worsening heart failure risk model is a clinical tool with good discrimination for use in patients hospitalized with acute heart failure to identify those at increased risk for in-hospital worsening heart failure. This tool may be useful to target treatment strategies for patients at high risk for in-hospital worsening heart failure., (Copyright © 2016 Elsevier Inc. All rights reserved.)