Association of Hospital Racial Composition and Payer Mix With Mortality in Acute Coronary Syndrome.

Background Patient characteristics insufficiently explain disparities in cardiovascular outcomes among hospitalized patients, suggesting a role for community or hospital-level factors. Here, we evaluate the association of hospital racial composition and payer mix with all-cause inpatient mortality for patients hospitalized with acute coronary syndrome (ACS). Methods and Results Using the National Inpatient Sample, we identified adult hospitalizations from 2014 with a primary diagnosis of ACS (n=550 005). We divided National Inpatient Sample hospitals into quartiles based on percent of minority (black, Hispanic, Asian or Pacific Islander, Native American race/ethnicity) and low-income payer (Medicaid or uninsured) discharges in 2014. We utilized logistic regression to determine whether hospital minority or low-income payer makeup associated with all-cause inpatient mortality among those admitted for ACS . In adjusted models, ACS patients admitted to hospitals with >12.4% to 25.4% (Quartile 2), >25.4% to 44.3% (Q3), and >44.3% (Q4) minority discharges experienced a 14% (OR 1.14, 95% CI 1.06-1.23), 13% (OR 1.13, 95% CI 1.04-1.23), and 15% (OR 1.15, 95% CI 1.04-1.26) increased odds of all-cause inpatient mortality compared with hospitals with ≤12.4% (Q1) minority discharges. ACS patients admitted to hospitals with >18.7% to 25.7% (Q2) and >34.0% (Q4) low-income payer discharges experienced a 9% (OR 1.09, 1.01-1.17) and 9% (OR 1.09, 1.00-1.19) increased odds of all-cause inpatient mortality when compared with hospitals with ≤18.7% (Q1) low-income payer discharges. Conclusions Hospital minority and low-income payer makeup positively associate with odds of all-cause inpatient mortality among patients admitted for acute coronary syndrome

Assessment of Heart Failure Patients' Interest in Mobile Health Apps for Self-Care: Survey Study.

BackgroundHeart failure is a serious public health concern that afflicts millions of individuals in the United States. Development of behaviors that promote heart failure self-care may be imperative to reduce complications and avoid hospital re-admissions. Mobile health solutions, such as activity trackers and smartphone apps, could potentially help to promote self-care through remote tracking and issuing reminders.ObjectiveThe objective of this study was to ascertain heart failure patients' interest in a smartphone app to assist them in managing their treatment and symptoms and to determine factors that influence their interest in such an app.MethodsIn the clinic waiting room on the day of their outpatient clinic appointments, 50 heart failure patients participated in a self-administered survey. The survey comprised 139 questions from previously published, institutional review board-approved questionnaires. The survey measured patients' interest in and experience using technology as well as their function, heart failure symptoms, and heart failure self-care behaviors. The Minnesota Living with Heart Failure Questionnaire (MLHFQ) was among the 11 questionnaires and was used to measure the heart failure patients' health-related quality of life through patient-reported outcomes.ResultsParticipants were aged 64.5 years on average, 32% (16/50) of the participants were women, and 91% (41/45) of the participants were determined to be New York Heart Association Class II or higher. More than 60% (30/50) of the survey participants expressed interest in several potential features of a smartphone app designed for heart failure patients. Participant age correlated negatively with interest in tracking, tips, and reminders in multivariate regression analysis (P<.05). In contrast, MLHFQ scores (worse health status) produced positive correlations with these interests (P<.05).ConclusionsThe majority of heart failure patients showed interest in activity tracking, heart failure symptom management tips, and reminder features of a smartphone app. Desirable features and an understanding of factors that influence patient interest in a smartphone app for heart failure self-care may allow researchers to address common concerns and to develop apps that demonstrate the potential benefits of mobile technology

Chronic exposure to ivabradine reduces readmissions in the vulnerable phase after hospitalization for worsening systolic heart failure: a post-hoc analysis of SHIFT

Aims: During the post-discharge phase following a heart failure hospitalization (HFH), patients are at high risk of early readmission despite standard of care therapy. We examined the impact of chronic exposure to ivabradine on early readmissions in patients hospitalized for heart failure during the course of the SHIFT study (Systolic Heart Failure treatment with the If inhibitor ivabradine Trial). Methods and results: A total of 1186 of the 6505 randomized patients experienced at least one HFH during the study, and had a more severe profile than those without HFH. Of these 1186 patients, 334 patients (28%) were rehospitalized within 3 months for any reason, mostly for cardiovascular causes (86%), including HFH (61%). Ivabradine was associated with fewer all-cause hospitalizations at 1 month [incidence rate ratio (IRR) 0.70, 95% confidence interval (CI) 0.50–1.00, P < 0.05], 2 months (IRR 0.75, 95% CI 0.58–0.98, P = 0.03), and 3 months (IRR 0.79, 95% CI 0.63–0.99, P = 0.04). A trend for a reduction in cardiovascular and HF hospitalizations was also observed in ivabradine-treated patients. Conclusion: We demonstrate in this post-hoc analysis that chronic exposure to ivabradine reduces the incidence of all-cause hospitalizations during the vulnerable phase after a HFH. Further studies are needed to investigate if in-hospital or early post-discharge initiation of ivabradine could be useful to improve early outcomes in patients hospitalized for HF

Home Monitoring for Heart Failure Management

With a prevalence of 5.8 million in the United States alone, heart failure (HF) is a common syndrome associated with substantial morbidity, mortality, and healthcare expenditures. Close to 1 million HF hospitalizations occur annually in the United States, with the majority of these resulting from worsening congestion in patients previously diagnosed with HF. An estimated $37.2 billion is spent each year on HF in the United States. These statistics emphasize the need to develop and implement more effective strategies to assess, monitor, and treat HF. It has also become increasingly apparent that interventions geared toward identifying and monitoring subclinical congestion would be of value in the home management of chronic HF. Earlier identification and treatment of congestion together with improved care coordination, management of comorbid conditions, and enhanced patient self-management may help to prevent hospitalizations in patients with chronic HF. Such home monitoring extends from the promotion of self-care and home visitations to telemedicine and remote monitoring of external or implantable devices. This paper discusses the challenges in monitoring patients with HF, reviews clinical trials testing different monitoring strategies in HF, and highlights ongoing investigations into the optimal approaches to home monitoring for HF

Rapid clinical assessment of hemodynamic profiles and targeted treatment of patient with acutely decompensated heart failure

Acutely decompensated heart failure (ADHF) is characterized by hemodynamic abnormalities and neurohormonal activation that contribute to heart failure (HF) symptoms, end‐organ dysfunction, arrhythmias, and progressive cardiac failure. The management of ADHF in the emergency department (ED) can be simplified and improved by a 2‐min bedside assessment that identifies any of four possible hemodynamic profiles on the basis of clinical signs and symptoms. The profiles are based on whether congestion is present or absent (wet or dry) and perfusion is adequate or limited (warm or cold). A wet‐warm profile is seen more frequently in the ED than any of the other three profiles (wet‐cold, dry‐warm, and dry‐cold). The four clinically determined profiles have been shown to predict clinical outcomes and may be used to guide initial HF therapy. The goals of treating ADHF are to stabilize the patient, reverse acute hemodynamic abnormalities, rapidly reverse dyspnea and/or hypoxemia caused by pulmonary congestion, and initiate treatments that will decrease disease progression and improve survival. An ideal agent for the wet‐warm profile would rapidly reduce pulmonary congestion, produce balanced arterial and venous dilation, promote natriuresis, lack direct positive inotropic effects, and not cause reflex neuroendocrine activation. Intravenous nesiritide in conjunction with loop diuretics has been found safe and effective as initial treatment for patients with the wet‐warm profile. For the wet‐cold profile, more intensive therapy and invasive hemodynamic monitoring may prove useful. This review will discuss the rapid clinical determination of hemodynamic profiles in patients presenting to the ED with ADHF and the options for their initial medical management. Case studies representing the wet‐warm, wet‐cold, dry‐warm, and dry‐cold profiles will be presented and discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/107535/1/4960271702_ftp.pd

Recent US Patterns and Predictors of Prevalent Diabetes among Acute Myocardial Infarction Patients

Background. Diabetes mellitus (DM) confers high vascular risk and is a growing national epidemic. We assessed clinical characteristics and prevalence of diagnosed DM among patients hospitalized with acute myocardial infarction (AMI) in the US over the last decade. Methods. Data were obtained from all states within the US that contributed to the Nationwide Inpatient Sample. All patients admitted to hospitals between 1997 and 2006 with a primary discharge diagnosis of AMI were included. Time trends in the proportion of these patients with DM diagnosis were computed. Results. The portion of patients with comorbid diabetes among AMI hospitalizations increased substantially from 18% in 1997 to 30% in 2006 (P < .0001). Absolute numbers of AMI hospitalizations in the US decreased 8% (from 729, 412 to 672, 243), while absolute numbers of AMI hospitalizations with coexisting DM rose 51% ((131, 189 to 198, 044), both (P < .0001). Women with AMI were significantly more likely to have DM than similarly aged men, but these differences diminished with increasing age. Conclusion. Although overall hospitalizations for AMI in the US diminished over the last decade, prevalence of diabetes rose substantially. This may have important consequences for the future societal vascular disease burden

Biomarkers and low risk in heart failure. Data from COACH and TRIUMPH

Aim Traditionally, risk stratification in heart failure (HF) emphasizes assessment of high risk. We aimed to determine if biomarkers could identify patients with HF at low risk for death or HF rehospitalization. Methods and results This analysis was a substudy of The Coordinating Study Evaluating Outcomes of Advising and Counselling in Heart Failure (COACH) trial. Enrolment of HF patients occurred before discharge. We defined low risk as the absence of death and/or HF rehospitalizations at 180 days. We tested a diverse group of 29 biomarkers on top of a clinical risk model, with and without N-terminal pro-B-type natriuretic peptide (NT-proBNP), and defined the low risk biomarker cut-off at the 10th percentile associated with high positive predictive value. The best performing biomarkers together with NT-proBNP and cardiac troponin I (cTnI) were re-evaluated in a validation cohort of 285 HF patients. Of 592 eligible COACH patients, the mean (± SD) age was 71 (± 11) years and median (IQR) NT-proBNP was 2521 (1301-5634) pg/mL. Logistic regression analysis showed that only galectin-3, fully adjusted, was significantly associated with the absence of events at 180 days (OR 8.1, 95% confidence interval 1.06-50.0, P = 0.039). Galectin-3, showed incremental value when added to the clinical risk model without NT-proBNP (increase in area under the curve from 0.712 to 0.745, P = 0.04). However, no biomarker showed significant improvement by net reclassification improvement on top of the clinical risk model, with or without NT-proBNP. We confirmed our results regarding galectin-3, NT-proBNP, and cTnI in the independent validation cohort. Conclusion We describe the value of various biomarkers to define low risk, and demonstrate that galectin-3 identifies HF patients at (very) low risk for 30-day and 180-day mortality and HF rehospitalizations after an episode of acute HF. Such patients might be safely discharged

Statin therapy is associated with improved survival in ischemic and non-ischemic heart failure

AbstractObjectivesThis study aimed to investigate the impact of hydroxymethylglutaryl coenzyme A reductase inhibitor (statin) therapy in patients with advanced heart failure (HF).BackgroundAlthough statins are known to reduce mortality in coronary artery disease (CAD), the impact of statin therapy in patients with HF has not been well studied. Both the potential risks and benefits of statins in HF have been described.MethodsWe studied a cohort of 551 patients with systolic HF (left ventricular ejection fraction [EF] ≤40%) referred to a single university center for clinical management and/or transplant evaluation. Survival without the necessity of urgent heart transplantation was determined.ResultsThe patients' mean age was 52 ± 13 years; mean EF was 25 ± 7%. Forty-five percent of the cohort had CAD, and 45% were receiving statin therapy, including 73% and 22% of CAD and non-CAD patients with HF, respectively. Patients receiving statins were significantly older and more likely to be male, with higher rates of hypertension, diabetes, and smoking. The EF and cholesterol levels were similar between treated and non-treated patients. Statin use was associated with improved survival without the necessity of urgent transplantation in both non-ischemic and ischemic HF patients (91% vs. 72%, p < 0.001 and 81% vs. 63%, p < 0.001 at one-year follow-up, respectively). After risk adjustment for age, gender, CAD, cholesterol, diabetes, medications, hemoglobin, creatinine, and New York Heart Association functional class, statin therapy remained an independent predictor of improved survival (hazard ratio 0.41 95% confidence interval 0.18 to 0.94).ConclusionsStatin therapy is associated with improved survival in patients with ischemic and non-ischemic HF. Randomized trials are needed for confirmation of a therapeutic benefit