The influence of heart failure on clinical and economic outcomes among older adults ≥75 years of age with acute myocardial infarction.

BACKGROUND: We aimed to evaluate the influence of heart failure (HF) on clinical and economic outcomes among older adults ≥75 years of age during their acute myocardial infarction (AMI) admission in large population-based study from the United States. We also evaluated the clinical characteristics associated with the presence of HF and the predictors of mortality, healthcare utilization, and cost among older adults with AMI. METHODS: From January 1, 2000, to December 31, 2016, AMI admission was identified using the primary diagnosis and concomitant HF was identified using any non-primary diagnoses in the Premier Healthcare Database. RESULTS: Of the 468,654 patients examined, 42,946 (9%) had concomitant HF during their AMI admission. These patients were older, more often female, and were more likely to be White. Patients with concomitant HF were more likely to be frail than non-HF patients (59% vs 15%, P < .001). The mean (SD) Elixhauser comorbidity index was 2.6 (2.5) vs 0.4 (1.1), P < .001 in the AMI with HF vs AMI only group. The use of percutaneous coronary intervention in those with AMI and HF was lower than those with AMI only (15% vs 31%, P < .001). The overall mortality rate for those with HF was 12%, the median [IQR] hospital length of stay was 5 [3,9] days, and only 25% of patients were discharged home. A higher proportion of patients were discharged to rehabilitation or hospice if they had AMI and HF (Rehabilitation: 33% vs 20%, P < .001; Hospice: 5% vs 3%, P < .001). The mean unadjusted cost of an AMI hospitalization in patients with concomitant HF was lower ($12,411 ± $14,860) than in those without HF ($15,828 ± $19,330). After adjusting for age, gender, race, hypertension, frailty, revascularization strategy, and death, the average cost of hospitalization attributed to concomitant HF was +$1,075 (95% CI +876 to $1,274) when compared to AMI patients without HF. CONCLUSION: In patients ≥75 years of age, AMI with concomitant HF carries higher risk of death, but at ages ≥85 years, the risk difference diminishes due to other competing risks. HF was also associated with longer hospital length of stay and higher likelihood of referral to hospice and rehabilitation facilities when compared to older patients without HF. Care for these older adults is associated with increased hospitalization costs. Measures to identify HF in older adults during their AMI admission are necessary to optimize health outcomes, care delivery, and costs.

Funding of Studies Supporting IA Guideline Recommendations in Cardiovascular Medicine-A Systematic Review.

Each guideline recommendation from the American Heart Association and the American College of Cardiology includes an indication of the level of supporting evidence and the associated strength of recommendation with "IA" recommendations representing those with the highest quality supporting evidence and the least amount of uncertainty for benefit. In this analysis, study type and funding sources were systematically tabulated across these IA guideline recommendations over the past 5 years. Nearly half of studies supporting IA guideline recommendations were randomized controlled trials (45%). Overall, about one third of studies supporting IA recommendations were publicly funded (34.9%) with slightly more funded through industry sources (43.5%). Funding sources varied based on the type of intervention being studied with randomized controlled trials of device, diagnostic, and pharmacological interventions reflecting predominantly industry-funded studies. Over time, studies supporting IA cardiology guideline are funded by industry about twice as often as public sources. Thus, data of adequate quality to support cardiovascular guideline recommendations come from a variety of sources.

OptiVol for Volume Assessment in Patients With Continuous Flow Left Ventricular Assist Device.

OptiVol (Medtronic PLC, Minneapolis, MN) is a diagnostic feature of some cardiac implantable electronic devices (CIEDs) based on changes in thoracic impedance (TI) over time. Changes in TI can predict heart failure (HF) hospitalizations and mortality in HF populations. However, the utility of this feature is unknown in patients with a left ventricular assist device (LVAD). To determine if OptiVol and TI correlate with clinical HF events in a population of LVAD patients, hospitalization outcomes were collected retrospectively from the electronic health records at a single academic medical center in 80 LVAD patients with an OptiVol-capable CIED. Demographics, medical history, and available clinical data were reviewed and reported. The primary outcomes of interest were TI and OptiVol trends before and after hospitalization, and association of trends before and after these events was evaluated. Most patients had a HeartMate II LVAD and most CIEDs were defibrillators, and 23 (29%) had at least one HF hospitalization during the study period. HF hospitalizations were preceded by signs of volume overload in Optivol (60%) and TI (78%) with recovery of these measures post hospitalization in 33% and 25% of patients, respectively. Monitoring of TI and OptiVol may be one effective component of HF management in LVAD patients as part of a comprehensive program.

Characterization of Mineralocorticoid Receptor Antagonist Therapy Initiation in High-Risk Patients With Heart Failure.

BACKGROUND: Heart failure guidelines recommend routine monitoring of serum potassium, and renal function in patients treated with a mineralocorticoid receptor antagonist (MRA). How these recommendations are implemented in high-risk patients or according to setting of drug initiation is poorly characterized. METHODS AND RESULTS: We conducted a retrospective cohort study of Medicare beneficiaries linked to laboratory data in 10 states with prevalent heart failure as of July 1, 2011, and incident MRA use between May 1 and September 30, 2011. Outcomes included laboratory testing before MRA initiation and in the early (days 1-10) and extended (days 11-90) post-initiation periods, based on setting of drug initiation and the presence of renal insufficiency. Additional outcomes included abnormal laboratory results and adverse events proximate to MRA initiation. Of 10 443 Medicare beneficiaries with heart failure started on an MRA, 19.7% were initiated during a hospitalization. Appropriate follow-up laboratory testing across all time periods occurred in 25.2% of patients with inpatient initiation compared with 2.8% of patients begun as an outpatient. Patients with chronic kidney disease had higher rates of both hyperkalemia and acute kidney failure in the early (1.3% and 2.7%, respectively) and extended (5.6% and 9.8%, respectively) post-initiation periods compared with those without chronic kidney disease. CONCLUSIONS: Patients initiated on MRA therapy as an outpatient had extremely poor rates of guideline indicated follow-up laboratory monitoring after drug initiation. In particular, patients with chronic kidney disease are at high risk for adverse events after MRA initiation. Quality improvement initiatives focused on systems to improve appropriate laboratory monitoring are needed.

Management of newly treated diabetes in Medicare beneficiaries with and without heart failure.

BACKGROUND: Several diabetes mellitus (DM) therapies are associated with worse heart failure (HF) outcomes, yet limited data exist characterizing routine DM management based on HF status. HYPOTHESIS: DM medications prescribed for patients with HF will differ in meaningful ways from patients without HF, and co-morbidities will impact the choice of medications prescribed. METHODS: Using Medicare fee-for-service claims data, we identified patients with newly treated DM between 2008 and 2011 and used multivariable logistic regression to assess associations between baseline HF status and DM medication use. We used the cumulative incidence function to describe outcomes at 1 year by HF status and DM medication use. RESULTS: Of 35 603 patients with newly treated DM, 8965 (25.2%) had HF at baseline. Patients with HF had greater comorbidity, including renal dysfunction. After adjustment for baseline covariates, patients with HF had higher odds of initiation on insulin monotherapy (odds ratio: 1.72, 95% confidence interval: 1.59-1.87, P < 0.001) and lower odds of initiation on metformin (odds ratio: 0.66, 95% confidence interval: 0.62-0.71, P < 0.001) compared with patients without HF. Cumulative incidence of 1-year mortality was higher among patients with HF than among those without (22.4% vs 6.4%) and highest among those prescribed insulin. CONCLUSIONS: Patients with HF were more likely to be initiated on insulin monotherapy than were patients without HF, who were more likely to be initiated on metformin. Studies of comparative effectiveness and safety are needed for DM treatment options in patients with comorbid HF.

Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE).

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.

Differences in health care use and outcomes by the timing of in-hospital worsening heart failure.

BACKGROUND: Patients hospitalized with acute heart failure may experience worsening symptoms requiring escalation of therapy. In-hospital worsening heart failure is associated with worse in-hospital and postdischarge outcomes, but associations between the timing of worsening heart failure and outcomes are unknown. METHODS: Using data from a large clinical registry linked to Medicare claims, we examined characteristics, outcomes, and costs of patients hospitalized for acute heart failure. We defined in-hospital worsening heart failure by the use of inotropes or intravenous vasodilators or initiation of mechanical circulatory support, hemodialysis, or ventilation. The study groups were early worsening heart failure (n = 1,990), late worsening heart failure (n = 4,223), complicated presentation (n = 15,361), and uncomplicated hospital course (n = 41,334). RESULTS: Among 62,908 patients, those with late in-hospital worsening heart failure had higher in-hospital and postdischarge mortality than patients with early worsening heart failure or complicated presentation. Those with early or late worsening heart failure had more frequent all-cause and heart failure readmissions at 30 days and 1 year, with resultant higher costs, compared with patients with an uncomplicated hospital course. CONCLUSION: Although late worsening heart failure was associated with the highest mortality, both early and late worsening heart failures were associated with more frequent readmissions and higher health care costs compared to uncomplicated hospital course. Prevention of worsening heart failure may be an important focus in the care of hospitalized patients with acute heart failure.

The Impact of Worsening Heart Failure in the United States.

In-hospital worsening heart failure represents a clinical scenario wherein a patient hospitalized for acute heart failure experiences a worsening of their condition, requiring escalation of therapy. Worsening heart failure is associated with worse in-hospital and postdischarge outcomes. Worsening heart failure is increasingly being used as an endpoint or combined endpoint in clinical trials, as it is unique to episodes of acute heart failure and captures an important event during the inpatient course. While prediction models have been developed to identify worsening heart failure, there are no known FDA-approved medications associated with decreased worsening heart failure. Continued study is warranted.

Assessing the Quality and Comparative Effectiveness of Team-Based Care for Heart Failure: Who, What, Where, When, and How.

Team-based or multidisciplinary care may be a potential way to positively impact outcomes for heart failure (HF) patients by improving clinical outcomes, managing patient symptoms, and reducing costs. The multidisciplinary team includes the HF cardiologist, HF nurses, clinical pharmacists, dieticians, exercise specialists, mental health providers, social workers, primary care providers, and additional subspecialty providers. The timing and setting of multidisciplinary care depends on the needs of the patient and the resources available. Multidisciplinary HF teams should be evaluated based on their ability to achieve goals, as well as their potential for sustainability over time.