National Trends in Heart Failure Hospitalizations and Readmissions From 2010 to 2017

Serial cardiac biomarkers, pulmonary artery pressures and traditional parameters of fluid status in relation to prognosis in patients with chronic heart failure: Design and rationale of the BioMEMS study

AIMS

Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF-related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early-stage intervention, since haemodynamic congestion precedes clinical symptoms.

METHODS

The BioMEMS study, a substudy of the MONITOR-HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR-HF trial were collected at baseline, 3-, 6-, and 12-month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS-HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death.

CONCLUSION

Since the prognostic value of single baseline measurements of biomarkers like N-terminal pro-B-type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively.

Correlation between systolic blood pressure and mortality in heart failure patients with hypertension

BACKGROUND

The correlation between systolic blood pressure (SBP) and mortality in hypertensive patients with different phenotypes of heart failure (HF) has not been adequately studied, and optimal blood pressure control targets remain controversial. To explore the link between SBP and prognosis in all or three ejection fraction (EF) phenotypes of HF patients with hypertension.

METHODS

We analyzed 1279 HF patients complicated by hypertension in a retrospective cohort. The SBP <130 mmHg group included 383 patients, and the SBP ≥130 mmHg group included 896 patients. The major end point was all-cause mortality.

RESULTS

Of the 1279 study patients, with a median age of 66.0 ± 12.0 years, 45.3% were female. The proportions of the three subtypes of heart failure complicated with hypertension (HFrEF, HEmrEF, and HFpEF) were 26.8%, 29.3%, and 43.9%, respectively. During the 1-year follow-up, 223 patients experienced all-cause death, and 133 experienced cardiovascular death. Restricted cubic splines showed that the risk of all-cause and cardiovascular death increased gradually as the SBP level decreased in patients with HFrEF and HFmrEF. Furthermore, the multivariate Cox proportional hazards model revealed that SBP <130 mmHg was also associated with an increased risk of all-cause death [hazard ratio (HR) 2.53, 95% confidence interval (CI) 1.23-5.20, P  = 0.011] and cardiovascular death (HR 1.91, 95% CI 1.01-3.63, P  = 0.047) in HFrEF patients. A trend toward increased risk was observed among HFmrEF patients, but it was not statistically significant. This trend was not observed in HFpEF patients.

CONCLUSION

In HFrEF patients, SBP <130 mmHg was associated with an increased risk of all-cause and cardiovascular mortality. A trend toward increased risk was observed among HFmrEF patients, but not among HFpEF patients.

The Role of Multimodality Imaging in Cardiomyopathy

PURPOSE OF REVIEW

There has been increasing use of multimodality imaging in the evaluation of cardiomyopathies.

RECENT FINDINGS

Echocardiography, cardiac magnetic resonance (CMR), cardiac nuclear imaging, and cardiac computed tomography (CCT) play an important role in the diagnosis, risk stratification, and management of patients with cardiomyopathies. Echocardiography is essential in the initial assessment of suspected cardiomyopathy, but a multimodality approach can improve diagnostics and management. CMR allows for accurate measurement of volumes and function, and can easily detect unique pathologic structures. In addition, contrast imaging and parametric mapping enable the characterization of tissue features such as scar, edema, infiltration, and deposition. In non-ischemic cardiomyopathies, metabolic and molecular nuclear imaging is used to diagnose rare but life-threatening conditions such amyloidosis and sarcoidosis. There is an expanding use of CCT for planning electrophysiology procedures such as cardioversion, ablations, and device placement. Furthermore, CCT can evaluate for complications associated with advanced heart failure therapies such as cardiac transplant and mechanical support devices. Innovations in multimodality cardiac imaging should lead to increased volumes and better outcomes.

The dual prevalence of advanced degrees of obesity and heart failure: a study from the National Inpatient Sample database

BACKGROUND

National prevalence rates for obesity and heart failure (HF) have been steadily increasing, which predisposes patients to higher morbidity and mortality rates.

OBJECTIVES

The purpose of this study was to evaluate the prevalence of HF stages in hospitalized patients according to their body mass index (BMI).

SETTING

Academic institution.

METHODS

National Inpatient Sample data from 2016 to 2018 were examined to identify patients with obesity, HF (presence or absence of advanced HF [AHF]), and cardiogenic shock (CS). The proportion of hospital admissions was determined for each category on the basis of the presence of AHF with/without CS. A comparative analysis was performed between patients with and without AHF, and multivariate logistic regression analysis was performed for the event of AHF. The same analyses were performed for the event of CS.

RESULTS

A total of 3,354,970 hospital admissions were identified. The prevalence of hospital admissions with a diagnosis of AHF and class III obesity and a diagnosis of CS and class III obesity was 21% and .5%, respectively. The prevalence of AHF and other classes of BMI and CS and other classes of BMI was 17% and .5%, respectively. The univariate analysis showed that there were significant variations in 10 factors between hospital admissions with/without the diagnosis of both AHF and CS. Statistical analyses indicated the following findings: Hospitalized patients in higher obesity groups are more likely to have AHF, and they are less likely to have CS compared with those with a BMI of ≤29.9.

CONCLUSIONS

This study revealed that the prevalence of AHF was significantly higher in hospitalized patients with class III obesity. These findings have implications for clinical management, and it can be inferred that these patients are less likely to receive advanced cardiac replacement therapies and might benefit from innovative approaches to address severe dual morbidity.

Sex-Based Differences in the Epidemiology, Clinical Characteristics, and Outcomes Associated with Worsening Heart Failure Events in a Learning Health System

BACKGROUND

Differences in demographics, risk factors, and clinical characteristics may contribute to variation in men and women in terms of prevalence, clinical setting, and outcomes associated with worsening heart failure (WHF) events.

OBJECTIVES

To describe sex-based differences in the epidemiology, clinical characteristics, and outcomes associated with WHF events across clinical settings.

METHODS

We examined adults diagnosed with HF from 2010-2019 within a large, integrated healthcare delivery system. Electronic health record data were accessed for hospitalizations, emergency department (ED) visits/observation stays, and outpatient encounters. WHF was identified using validated natural language processing algorithms and defined as ≥1 symptom, ≥2 objective findings (including ≥1 sign), and ≥1 change in HF-related therapy. Incidence rates and associated outcomes for WHF were compared across care setting by sex.

RESULTS

We identified 1,122,368 unique clinical encounters with a diagnosis code for HF, with 124,479 meeting WHF criteria. These WHF encounters existed among 102,116 patients, of which 48,543 (47.5%) were women and 53,573 (52.5%) were men. Women experiencing WHF were older and more likely to have HF with preserved ejection fraction compared to men. The clinical settings of WHF were similar among women and men: hospitalizations (36.8% vs. 37.7%), ED visits or observation stays (11.8% vs. 13.4%), and outpatient encounters (4.4% vs. 4.9%). Women had lower odds of 30-day mortality following an index hospitalization (adjusted odds ratio [aOR] 0.88, 95% confidence interval [CI] 0.83-0.93) or ED visit/observation stay (aOR 0.86, 95% 0.75-0.98) for WHF.

CONCLUSION

Women and men contribute similarly to WHF events across diverse clinical settings despite marked differences in age and left ventricular ejection fraction.

Safety Indicators in Patients Receiving High-intensity Care After Hospital Admission for Acute Heart Failure: The STRONG-HF Trial

BACKGROUND

Safety, Tolerability and Efficacy of Rapid Optimization, Helped by NT-proBNP Testing, of Heart Failure Therapies (STRONG-HF) demonstrated the safety and efficacy of rapid up-titration of guideline-directed medical therapy (GDMT) with high-intensity care (HIC) compared with usual care in patients hospitalized for acute heart failure (HF). In the HIC group, the following safety indicators were used to guide up-titration: estimated glomerular filtration rate of <30 mL/min/1.73 m2, serum potassium of >5.0 mmol/L, systolic blood pressure (SBP) of <95 mmHg, heart rate of <55 bpm, and N-terminal pro-B-type natriuretic peptide concentration of >10% higher than predischarge values.

METHODS AND RESULTS

We examined the impact of protocol-specified safety indicators on achieved dose of GDMT and clinical outcomes. Three hundred thirteen of the 542 patients in the HIC arm (57.7%) met ≥1 safety indicator at any follow-up visit 1-6 weeks after discharge. As compared with those without, patients meeting ≥1 safety indicator had more severe HF symptoms, lower SBP, and higher heart rate at baseline and achieved a lower average percentage of GDMT optimal doses (mean difference vs the HIC arm patients not reaching any safety indicator, -11.0% [95% confidence interval [CI] -13.6 to -8.4%], P < .001). The primary end point of 180-day all-cause death or HF readmission occurred in 15.0% of patients with any safety indicator vs 14.2% of those without (adjusted hazard ratio 0.84, 95% CI 0.48-1.46, P = .540). None of each of the safety indicators, considered alone, was significantly associated with the primary end point, but an SBP of <95 mm Hg was associated with a trend toward increased 180-day all-cause mortality (adjusted hazard ratio 2.68, 95% CI 0.94-7.64, P = .065) and estimated glomerular filtration rate decreased to <30 mL/min/1.73 m2 with more HF readmissions (adjusted hazard ratio 3.60, 95% CI 1.22-10.60, P = .0203). The occurrence of a safety indicator was associated with a smaller 90-day improvement in the EURO-QoL 5-Dimension visual analog scale (adjusted mean difference -3.32 points, 95% CI -5.97 to -0.66, P = .015).

CONCLUSIONS

Among patients with acute HF enrolled in STRONG-HF in the HIC arm, the occurrence of any safety indicator was associated with the administration of slightly lower GDMT doses and less improvement in quality of life, but with no significant increase in the primary outcome of 180-day HF readmission or death when appropriately addressed according to the study protocol.

Twelve-month follow-up results from the SIRONA 2 clinical trial

AIMS

In the SIRONA 2 trial, the safety and efficacy of pulmonary artery (PA) pressure (PAP)-guided heart failure (HF) management using a novel PAP sensor were assessed at 30 and 90 days, respectively, and both endpoints were met. The current study examines the prespecified secondary endpoints of safety and accuracy of the PA sensor along with HF hospitalizations and mortality, HF symptoms, functional capacity, quality of life, and patient compliance through 12 months.

METHODS AND RESULTS

SIRONA 2 is a prospective, multi-centre, open-label, single-arm trial evaluating the Cordella™ PA Sensor System in 70 patients with New York Heart Association (NYHA) functional class III HF with a prior HF hospitalization and/or increase of N-terminal pro-brain natriuretic peptide within 12 months of enrolment. Sensor accuracy was assessed and compared with measurements obtained by standard right heart catheterization (RHC). Safety was defined as freedom from prespecified adverse events associated with use of the Cordella PA Sensor System and was assessed in all patients who entered the cath lab for PA sensor implant. HF hospitalizations and mortality, HF symptoms, functional capacity, quality of life, and patient compliance were also assessed. At 12 months, there was good agreement between the Cordella PA Sensor System and RHC, with the average difference for mean PAP being 2.9 ± 7.3 mmHg. The device safety profile was excellent with 98.4% freedom from device/system-related complications. There were no pressure sensor failures. HF hospitalizations and mortality were low with a rate of 0.33 event per patient year. Symptoms as assessed by NYHA (P < 0.0001) and functional capacity as measured by 6 min walk test (P = 0.02) were significantly improved. Patients' adherence to daily transmissions of PAP and vital signs measurements was 95%.

CONCLUSIONS

Long-term follow-up of the SIRONA 2 trial supports the safety and accuracy of the Cordella PA Sensor System in enabling comprehensive HF management in NYHA class III HF patients.

Cost of Cardiovascular Disease Event and Cardiovascular Disease Treatment-Related Complication Hospitalizations in the United States

BACKGROUND

Cardiovascular disease (CVD) is among the costliest conditions in the United States, and cost-effectiveness analyses can be used to assess economic impact and prioritize CVD treatments. We aimed to develop standardized, nationally representative CVD events and selected possible CVD treatment-related complication hospitalization costs for use in cost-effectiveness analyses.

METHODS

Nationally representative costs were derived using publicly available inpatient hospital discharge data from the 2012-2018 National Inpatient Sample. Events were identified using the principal International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes. Facility charges were converted to costs using charge-to-cost ratios, and total costs were estimated by applying a published professional fee ratio. All costs are reported in 2021 US dollars. Mean costs were estimated for events overall and stratified by age, sex, and survival status at discharge. Annual costs to the US health care system were estimated by multiplying the mean annual number of events by the mean total cost per discharge.

RESULTS

The annual mean number of hospital discharges among CVD events was the highest for heart failure (1 087 000 per year) and cerebrovascular disease (800 600 per year). The mean cost per hospital discharge was the highest for peripheral vascular disease ($33 700 [95% CI, $33 300-$34 000]) and ventricular tachycardia/ventricular fibrillation ($32 500 [95% CI, $32 100-$32 900]). Hospitalizations contributing the most to annual US health care costs were heart failure ($19 500 [95% CI, $19 300-$19 800] million) and acute myocardial infarction ($18 300, [95% CI, $18 200-$18 500] million). Acute kidney injury was the most frequent possible treatment complication (515 000 per year), and bradycardia had the highest mean hospitalization costs ($17 400 [95% CI, $17 200-$17 500]).

CONCLUSIONS

The hospitalization cost estimates and statistical code reported in the current study have the potential to increase transparency and comparability of cost-effectiveness analyses for CVD in the United States.

Success in Heart Failure? An Investigation of Heart Failure Readmission Rates and Medication Regimen Optimization

In May 2022, the American College of Cardiology updated their guideline-directed medical therapy for congestive heart failure (CHF) to include four pillars of therapy. These pillars aim to better control patients with heart failure (HF) and reduce the incidence of hospitalization by including an evidence-based beta-blocker, an angiotensin-converting enzyme inhibitor/ angiotensin receptor blocker/angiotensin receptor/ neprilysin inhibitor, a mineralocorticoid receptor antagonist, and newly recommended sodium glucose cotransporter 2-inhibitors. This study at University of Florida Health Central Florida Hospitals reviewed patients who were diagnosed with CHF and recorded if they were readmitted with a HF exacerbation within 30 days of an initial index admission. Patients had data obtained retrospectively using electronic medical records from patient hospital encounters within the study inclusion dates; 7/1/2022-9/30/2022. Hospital readmission rates for patients with CHF, and information on each patient's medication regimen was collected to see if they met medication optimization criteria. A total of 252 patients were evaluated, with 157 meeting the inclusion criteria. Of the patients included, 23 (14.6%) experienced a hospital readmission within 30 days because of acute HF exacerbation or worsening HF. After reviewing medication regimens, 60 patients (38.2%) were receiving treatment with one pillar of therapy, 72 (45.8%) with two pillars of therapy, 12 (7.6%) with three pillars of therapy, and one patient was treated with all four pillars of therapy. In conclusion, this study showed that the recommended pillars of therapy are not being implemented and patients with CHF may benefit from medication optimization.

Impact of Advanced Therapy Centers on Characteristics and Outcomes of Heart Failure Admissions

BACKGROUND

Although much attention has been paid to admission and transfer patterns for cardiogenic shock, contemporary data are lacking on decompensated heart failure (HF) admissions and transfers and the impact of advanced therapy centers (ATCs) on outcomes.

METHODS

HF hospitalizations were obtained from the Nationwide Readmissions Database 2016 to 2019. Centers performing at least 1 heart transplant or left ventricular assist device were classified as ATCs. Patient characteristics, outcomes, and procedural volume were compared among 3 cohorts: admissions to non-ATCs, admissions to ATCs, and transfers to ATCs. A secondary analysis evaluated outcomes for severe HF hospitalizations (cardiogenic shock, cardiac arrest, and mechanical ventilation). Multivariable logistic regression was performed to adjust for the presence of HF decompensations and significant clinical variables during univariate analysis.

RESULTS

A total of 2 331 690 hospitalizations (81.2%) were admissions to non-ATCs (94.5% of centers), 525 037 (18.3%) were admissions to ATCs (5.5% of centers), and 15 541 (0.5%) were transferred to ATCs. Patients treated at ATCs (especially those transferred) had higher rates of HF decompensations, procedural frequency, lengths of stay, and costs. Unadjusted mortality was 2.6% at non-ATCs and was higher at ATCs, both for directly admitted (2.9%, P<0.001) and transferred (11.2%, P<0.001) patients. However, multivariable-adjusted mortality was significantly lower at ATCs, both for directly admitted (odds ratio, 0.82 [95% CI, 0.78-0.87]; P<0.001) and transferred (odds ratio, 0.66 [95% CI, 0.57-0.78]; P<0.001) patients. For severe HF admissions, unadjusted mortality was 37.2% at non-ATCs and was lower at ATCs, both for directly admitted (25.3%, P<0.001) and transferred (25.2%, P<0.001) patients, with similarly lower multivariable-adjusted mortality.

CONCLUSIONS

Patients with HF treated at ATCs were sicker but associated with higher procedural volume and lower adjusted mortality.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Development and Validation of the American Heart Association's PREVENT Equations

BACKGROUND

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD.

METHODS

The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017. The primary outcome was CVD (atherosclerotic CVD and heart failure). Predictors included traditional risk factors (smoking status, systolic blood pressure, cholesterol, antihypertensive or statin use, and diabetes) and estimated glomerular filtration rate. Models were sex-specific, race-free, developed on the age scale, and adjusted for competing risk of non-CVD death. Analyses were conducted in each data set and meta-analyzed. Discrimination was assessed using the Harrell C-statistic. Calibration was calculated as the slope of the observed versus predicted risk by decile. Additional equations to predict each CVD subtype (atherosclerotic CVD and heart failure) and include optional predictors (urine albumin-to-creatinine ratio and hemoglobin A1c), and social deprivation index were also developed. External validation was performed in 3 330 085 participants from 21 additional data sets.

RESULTS

Among 6 612 004 adults included, mean±SD age was 53±12 years, and 56% were women. Over a mean±SD follow-up of 4.8±3.1 years, there were 211 515 incident total CVD events. The median C-statistics in external validation for CVD were 0.794 (interquartile interval, 0.763-0.809) in female and 0.757 (0.727-0.778) in male participants. The calibration slopes were 1.03 (interquartile interval, 0.81-1.16) and 0.94 (0.81-1.13) among female and male participants, respectively. Similar estimates for discrimination and calibration were observed for atherosclerotic CVD- and heart failure-specific models. The improvement in discrimination was small but statistically significant when urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index were added together to the base model to total CVD (ΔC-statistic [interquartile interval] 0.004 [0.004-0.005] and 0.005 [0.004-0.007] among female and male participants, respectively). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84-1.20] versus 1.39 [1.14-1.65]; P=0.01).

CONCLUSIONS

PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables.

Impact of nurse-led interprofessional work in older patients with heart failure and multimorbidity: A retrospective cohort study

Background

The number of patients with multimorbidity has increased due to the aging of the global population. Although the World Health Organization has indicated that multimorbidity will be a major medical problem in the future, the appropriate interventions for patients with multimorbidity are currently unknown. This study aimed to investigate whether nurse-led interprofessional work is associated with improved prognosis in heart failure patients with multimorbidity aged ≥65 years who were admitted in an acute care hospital.

Methods

Patients who were admitted to the cardiovascular medicine ward of an acute care hospital in Osaka, Japan, and underwent nurse-led interprofessional work from April 1, 2017 to March 31, 2020, and from April 1, 2014 to March 31, 2016, were included in this retrospective cohort study. The patients were matched by age, sex, and New York Heart Association classification. The nurse-led interprofessional work was based on a three-step model that incorporates recommendations from international guidelines for multimorbidity. The primary outcome was all-cause mortality.

Results

The mean age of the participants was 80 years, and 62 % were men. The nurse-led interprofessional work group showed a significant difference in all-cause mortality compared with the usual care group (hazard ratio, 0.45; 95 % confidence interval [CI], 0.29-0.69; P < 0.001). Compared with the usual care group, the nurse-led interprofessional work group exhibited a 7 % difference in mortality rate at 1-year post-discharge (P < 0.001).

Conclusions

Nurse-led interprofessional work may reduce the all-cause mortality in older patients with heart failure and multimorbidity.

IV Diuresis in Alternative Treatment Settings for the Management of Heart Failure: Implications for Mortality, Hospitalizations and Cost

BACKGROUND

Recent advances in heart failure (HF) care have sought to shift management from inpatient to outpatient and observation settings. We evaluated the association among HF treatment in the (1) inpatient; (2) observation; (3) emergency department (ED); and (4) outpatient settings with 30-day mortality, hospitalizations and cost.

METHODS

Using 100% Medicare inpatient, outpatient and Part B files from 2011-2018, 1,534,708 unique patient encounters in which intravenous (IV) diuretics were received for a primary diagnosis of HF were identified. Encounters were sorted into mutually exclusive settings: (1) inpatient; (2) observation; (3) ED; or (4) outpatient IV diuretic clinic. The primary outcome was 30-day all-cause mortality. Secondary outcomes included 30-day hospitalization and total 30-day costs. Multivariable logistic and linear regression were used to examine the association between treatment location and the primary and secondary outcomes.

RESULTS

Patients treated in observation and outpatient settings had lower 30-day mortality rates (observation OR 0.67, 95% CI 0.66-0.69; P < 0.001; outpatient OR 0.53, 95% CI 0.51-0.55; P < 0.001) compared to those treated in inpatient settings. Observation and outpatient treatment were also associated with decreased 30-day total cost compared to inpatient treatment. Observation relative cost -$5528.77, 95% CI -$5613.63 to -$5443.92; outpatient relative cost -$7005.95; 95% CI -$7103.94 to -$6907.96). Patients treated in the emergency department and discharged had increased mortality rates (OR 1.15, 95% CI 1.13-1.17; P < 0.001) and increased rates of hospitalization (OR 1.72, 95% CI 1.70-1.73; P < 0.001) compared to patients treated as inpatients.

CONCLUSIONS

Medicare beneficiaries who received IV diuresis for acute HF in the outpatient and observation settings had lower mortality rates and decreased costs of care compared to patients treated as inpatients. Outpatient and observation management of acute decompensated HF, when available, is a safe and cost-effective strategy in certain populations of patients with HF.

The economics of heart failure care

Heart failure (HF) poses a significant economic burden in the US, with costs projected to reach $70 billion by 2030. Cost-effectiveness analyses play a pivotal role in assessing the economic value of HF therapies. In this review, we overview the cost-effectiveness of HF therapies and discuss ways to improve patient access. Based on current costs, guideline directed medical therapies for HF with reduced ejection fraction provide high economic value except for sodium-glucose cotransporter-2 inhibitors, which provide intermediate economic value. Combining therapy with the four pillars of medical therapy also has intermediate economic value, with incremental cost-effectiveness ratios ranging from $73,000 to $98,500/ quality adjusted life-years. High economic value procedures include cardiac resynchronization devices, implantable cardioverter-defibrillators, and coronary artery bypass surgery. In contrast, advanced HF therapies have previously demonstrated intermediate to low economic value, but newer data appear more favorable. Given the affordability challenges of HF therapies, additional efforts are needed to ensure optimal care for patients. The recent Inflation Reduction Act contains provisions to reform policy pertaining to drug price negotiation and out-of-pocket spending, as well as measures to increase access to existing programs, including the Medicare low-income subsidy. On a patient level, it is also important to encourage patient and physician awareness and discussions surrounding medical costs. Overall, a broad approach to improving available therapies and access to care is needed to reduce the growing clinical and economic morbidity of HF.

Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.

In-Hospital and readmission outcomes of patients with myeloproliferative neoplasms and heart failure: Insights from the National Readmissions Database

Background

Myeloproliferative neoplasms (MPNs) are chronic leukemias associated with increased risk of cardiovascular (CV) events. Prior studies suggest patients with MPN are at increased risk of HF. Additionally, pre-clinical murine models harboring the JAK2 mutation, the most common driver mutation in MPNs, have shown accelerated adverse cardiac remodeling in myocardial infarction and pressure overload HF models. However, clinical outcomes, including in-hospital and readmission outcomes, of patients with MPN admitted for HF have not been well characterized.

Methods

Patients hospitalized for HF with and without MPN were identified using the 2017 and 2018 National Readmission Database. Propensity score matching (PSM) was performed to match 1 MPN with 10 non-MPN controls. Outcomes were in-hospital death, 90-day CV-related, HF-related, and all-cause readmissions. Logistic regression and Cox proportional hazards regression models were used to estimate risk of in-hospital death and 90-day readmission outcomes, respectively.

Results

After PSM, 4,626 patients with MPN were matched with 46,260 without. Patients with MPN were associated with increased risk of in-hospital death (OR 1.17, 95% CI 1.00 - 1.35), 90-day CV-related (HR 1.10, 95% CI 1.02 - 1.18) and all-cause (HR 1.24, 95% CI 1.17 - 1.31) but not HF-related (HR 1.05, 95% CI 0.97 - 1.14) readmissions.

Conclusion

Among patients hospitalized for HF, MPN was associated with increased risk of in-hospital death, and 90-day CV-related readmissions (driven primarily by thrombotic readmissions). Further investigation is needed in order to improve outcomes in patients with MPN and HF.

Vericiguat, a novel sGC stimulator: Mechanism of action, clinical, and translational science

Vericiguat, a novel soluble guanylate cyclase (sGC) stimulator, is approved for the treatment of heart failure (HF) with reduced ejection fraction (HFrEF). Decreased nitric oxide (NO) availability, sGC desensitization to NO, sGC deficiency, and reduced cyclic guanosine monophosphate (cGMP) signaling are potential contributing factors for HF disease progression. Vericiguat works via stimulation of sGC in the critical NO-sGC-cGMP pathway. Vericiguat is primarily metabolized by glucuronidation via uridine diphosphate-glucuronosyltransferase (UGT) isoforms UGT1A1 and UGT1A9. Urinary excretion and renal clearance of vericiguat are low. No intrinsic factor had a clinically relevant effect on vericiguat exposure. Vericiguat has low drug-drug interaction potential with no clinically relevant pharmacokinetic or pharmacodynamic interactions observed with warfarin, digoxin, aspirin, or sacubitril/valsartan. The global phase III study VICTORIA included patients with HFrEF who had a recent HF hospitalization or intravenous diuretic treatment for HF. Treatment with vericiguat on top of standard of care resulted in a 10% relative reduction in the primary composite outcome of death from cardiovascular causes or first hospitalization for HF. Vericiguat was well-tolerated with low incidence of symptomatic hypotension and syncope compared to placebo. Given its positive benefit-risk profile, vericiguat is an important option for high-risk patients with HFrEF who are already on guideline-directed medical therapy and had recent worsening of HF. Future efforts to develop additional effective therapies are needed to further reduce morbidity and mortality in patients with HF.

Management of Heart Failure in Hospitalized Patients

Heart failure affects more than 6 million people in the United States, and hospitalizations for decompensated heart failure confer a heavy toll in morbidity, mortality, and health care costs. Clinical trials have demonstrated effective interventions; however, hospitalization and mortality rates remain high. Key components of effective hospital care include appropriate diagnostic evaluation, triage and risk stratification, early implementation of guideline-directed medical therapy, adequate diuresis, and appropriate discharge planning.

Sotagliflozin: Efficacy, Safety, and Potential Therapeutic Applications in Heart Failure

OBJECTIVE

To describe the pharmacology, clinical efficacy, and safety evidence of sotagliflozin, the first approved dual inhibitor of sodium-glucose cotransporter (SGLT) 1 and SGLT2, in heart failure (HF) management.

DATA SOURCES

A literature search of studies published between January 2012 and September 2023 were identified using PubMed, MEDLINE, and clinicaltrials.gov with search terms of "sotagliflozin," "Inpefa," or "LX4211."

STUDY SELECTION AND DATA EXTRACTION

All available studies in English were considered. Studies were included if they investigated drug pharmacology, efficacy, or safety information.

DATA SYNTHESIS

Two phase 3 trials of sotagliflozin, SOLOIST-WHF and SCORED, evaluated sotagliflozin compared with placebo in patients with type 2 diabetes mellitus (T2DM). SOLOIST-WHF reported a statistically decreased rate of cardiovascular and HF events with sotagliflozin (hazard ratio [HR] = 0.67, 95% CI = 0.52-0.85), while SCORED found a statistically significant decrease in incidence of cardiovascular events in patients with T2DM, chronic kidney disease (CKD), and risk factors for cardiovascular disease in patients in the sotagliflozin group (HR = 0.74, 95% CI = 0.63-0.88).

RELEVANCE TO PATIENT CARE AND CLINICAL PRACTICE IN COMPARISON TO EXISTING AGENTS

While approval of sotagliflozin expands treatment options for patients with HF, the SGLT2 inhibitors, dapagliflozin and empagliflozin, have more data supporting their use in HF, additional risk reduction benefits in patients with CKD, and approval for use in T2DM. Landmark trials of sotagliflozin required a previous diagnosis of T2DM, despite the broader approved indication. Where sotagliflozin will be adopted into the treatment of HF is unclear due to the evidence and benefits of already established SGLT2 inhibitors and the need for comparison with SGLT2 inhibitors.

CONCLUSION

Given the limitations of currently available evidence, including difficulty in fully interpreting the trial results due to changes in primary endpoints, not adjudicating the events, and not reaching the original power calculations, more investigation is warranted to determine the benefit of sotagliflozin compared with SGLT2 inhibitors.

Acute Heart Failure Is a Malignant Process: But We Can Induce Remission

Acute heart failure is a common and increasingly prevalent condition, affecting >10 million people annually. For those patients who survive to discharge, early readmissions and death rates are >30% everywhere on the planet, making it a malignant condition. Beyond these adverse outcomes, it represents one of the largest drivers of health care costs globally. Studies in the past 2 years have demonstrated that we can induce remissions in this malignant process if therapy is instituted rapidly, at the first acute heart failure episode, using full doses of all available effective medications. Multiple studies have demonstrated that this goal can be achieved safely and effectively. Now the urgent call is for all stakeholders, patients, physicians, payers, politicians, and the public at large to come together to address the gaps in implementation and enable health care providers to induce durable remissions in patients with acute heart failure.

Evaluation of common clinical and hemodynamic parameters to pulmonary capillary wedge pressures in patients undergoing right heart catheterization

Introduction

A cornerstone of heart failure assessment is the right heart catheterization and the pulmonary capillary wedge pressure measurement it can provide. Clinical and hemodynamic parameters such as weight and jugular venous distention are less invasive measures often used to diagnose, manage, and treat these patients. To date, there is little data looking at the association of these key parameters to measured pulmonary capillary wedge pressure (PCWP). This is a large, retrospective, secondary analysis of a right heart catheterization database comparing clinical and hemodynamic parameters against measured PCWP in heart failure patients.

Methods

A total of 538 subjects were included in this secondary analysis. Spearman's Rho analysis of each clinical and hemodynamic variable was used to compare their association to the documented PCWP. Variables analyzed included weight, body mass index (BMI), jugular venous distention (JVD), creatinine, edema grade, right atrial pressure (RAP), pulmonary artery systolic pressure (PASP), systemic vascular resistance, pulmonary vascular resistance, cardiac output (thermal and Fick), systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, oxygen saturation (SpO2), and pulmonary artery diastolic pressure (PADP).

Results

Ten out of 17 selected parameters had a statistically significant association with measured PCWP values. PADP had the strongest association (0.73, p<0.0001), followed by RAP and PASP (0.69, p<0.0001 and 0.67, p<0.0001, respectively). Other significant parameters included weight (0.2, p<0.001), BMI (0.2, p<0.001), SpO2 (-0.17, p<0.0091), JVD (0.24, p<0.005) and edema grade (0.2, p<0.0001).

Conclusion

This retrospective analysis clarifies the associations of commonly used clinical and hemodynamic parameters to the clinically used gold standard for volume assessment in heart failure patients, PCWP.

Effect of Chronic Disease Home Telehealth Monitoring in the Veterans Health Administration on Healthcare Utilization and Mortality

BACKGROUND

The high prevalence of chronic diseases, including congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM), accounts for a large burden of cost and poor health outcomes in US hospitals, and home telehealth (HT) monitoring has been proposed to improve outcomes.

OBJECTIVE

To measure the association between HT initiation and 12-month inpatient hospitalizations, emergency department (ED) visits, and mortality in veterans with CHF, COPD, or DM.

DESIGN

Comparative effectiveness matched cohort study.

PATIENTS

Veterans aged 65 years and older treated for CHF, COPD, or DM.

MAIN MEASURES

We matched veterans initiating HT with veterans with similar demographics who did not use HT (1:3). Our outcome measures included a 12-month risk of inpatient hospitalization, ED visits, and all-cause mortality.

KEY RESULTS

A total of 139,790 veterans with CHF, 65,966 with COPD, and 192,633 with DM were included in this study. In the year after HT initiation, the risk of hospitalization was not different in those with CHF (adjusted odds ratio [aOR] 1.01, 95% confidence interval [95%CI] 0.98-1.05) or DM (aOR 1.00, 95%CI 0.97-1.03), but it was higher in those with COPD (aOR 1.15, 95%CI 1.09-1.21). The risk of ED visits was higher among HT users with CHF (aOR 1.09, 95%CI 1.05-1.13), COPD (1.24, 95%CI 1.18-1.31), and DM (aOR 1.03, 95%CI 1.00-1.06). All-cause 12-month mortality was lower in those initiating HT monitoring with CHF (aOR 0.70, 95%CI 0.67-0.73) and DM (aOR 0.79, 95%CI 0.75-0.83), but higher in COPD (aOR 1.08, 95%CI 1.00-1.16).

CONCLUSIONS

The initiation of HT was associated with increased ED visits, no change in hospitalizations, and lower all-cause mortality in patients with CHF or DM, while those with COPD had both higher healthcare utilization and all-cause mortality.

Sense of Security Mediates the Relationship Between Self-care Behavior and Health Status of Patients With Heart Failure: A Cross-sectional Study

BACKGROUND

Promoting patients' sense of security is among the goals of nursing care within heart failure management.

OBJECTIVE

The aim of this study was to examine the role of sense of security in the relationship between self-care behavior and health status of patients with heart failure.

METHODS

Patients recruited from a heart failure clinic in Iceland answered a questionnaire about their self-care (European Heart Failure Self-care Behavior Scale; possible scores, 0-100), their sense of security (Sense of Security in Care-Patients' Evaluation; possible scores, 1-100), and their health status (Kansas City Cardiomyopathy Questionnaire, including symptoms, physical limitations, quality of life, social limitations, and self-efficacy domains; possible scores, 0-100). Clinical data were extracted from electronic patient records. Regression analysis was used to examine the mediation effect of sense of security on the relationship between self-care and health status.

RESULTS

The patients (N = 220; mean [SD] age, 73.6 [13.8] years; 70% male, 49% in New York Heart Association functional class III) reported a high sense of security (mean [SD], 83.2 [15.2]) and inadequate self-care (mean [SD], 57.2 [22.0]); their health status, as assessed by all domains of the Kansas City Cardiomyopathy Questionnaire, was fair to good except for self-efficacy, which was good to excellent. Self-care was associated with health status ( P < .01) and sense of security ( P < .001). Regression analysis confirmed the mediating effect of sense of security on the relationship between self-care and health status.

CONCLUSIONS

Sense of security in patients with heart failure is an important part of daily life and contributes to better health status. Heart failure management should not only support self-care but also aim to strengthen sense of security through positive care interaction (provider-patient communication) and the promotion of patients' self-efficacy, and by facilitating access to care.

Utilizing Pharmacist-Led Telehealth Services in Ambulatory Patients with Heart Failure

Background: Heart failure is one of the leading causes of hospital admissions. Non-adherence to medications and poor dietary management for patients who suffer from this condition can lead to worsening of symptoms and hospitalization. Pharmacist interventions via telehealth have demonstrated a beneficial impact on disease management and adherence outcomes in patients with chronic conditions. Methods: This retrospective, descriptive cohort study reviewed subjects from a single-centered primary care office. Data was collected via electronic chart review between January and December 2021. Subjects eligible for inclusion were adults who were diagnosed with heart failure by their primary care provider and referred to a pharmacist for a telehealth visit. The primary outcome was the number of heart failure-related hospitalizations post-pharmacist intervention via telehealth. The secondary outcome was the number of cardiovascular-related hospitalizations post-pharmacist intervention via telehealth. Results: 37 patients were included for analysis. Only two patients were admitted for heart failure post-pharmacist intervention. Fifteen patients were admitted post-pharmacist intervention for a cardiovascular-related hospitalization. Conclusion: This report illustrates the employment of pharmacist-led telehealth services in the chronic heart failure population. This study encourages pharmacist-based interventions via telehealth in the ambulatory setting as few HF-related hospitalizations occurred in this cohort.

Heart failure management guided by remote multiparameter monitoring: A meta-analysis

BACKGROUND

Several implant-based remote monitoring strategies are currently tested to optimize heart failure (HF) management by anticipating clinical decompensation and preventing hospitalization. Among these solutions, the modern implantable cardioverter-defibrillator and cardiac resynchronization therapy devices have been equipped with sensors allowing continuous monitoring of multiple preclinical markers of worsening HF, including factors of autonomic adaptation, patient activity, and intrathoracic impedance.

OBJECTIVES

We aimed to assess whether implant-based multiparameter remote monitoring strategy for guided HF management improves clinical outcomes when compared to standard clinical care.

METHODS

A systematic literature research for randomized controlled trials (RCTs) comparing multiparameter-guided HF management versus standard of care was performed on PubMed, Embase, and CENTRAL databases. Incidence rate ratios (IRRs) and associated 95% confidence intervals (CIs) were calculated using the Poisson regression model with random study effects. The primary outcome was a composite of all-cause death and HF hospitalization events, whereas secondary endpoints included the individual components of the primary outcome.

RESULTS

Our meta-analysis included 6 RCTs, amounting to a total of 4869 patients with an average follow-up time of 18 months. Compared with standard clinical management, the multiparameter-guided strategy reduced the risk of the primary composite outcome (IRR 0.83, 95%CI 0.71-0.99), driven by statistically significant effect on both HF hospitalization events (IRR 0.75, 95%CI 0.61-0.93) and all-cause death (IRR 0.80, 95%CI 0.66-0.96).

CONCLUSION

Implant-based multiparameter remote monitoring strategy for guided HF management is associated with significant benefit on clinical outcomes compared to standard clinical care, providing a benefit on both hospitalization events and all-cause death.

Heart Failure Remote Monitoring: A Review and Implementation How-To

Heart failure (HF) is a significant clinical and financial burden worldwide. Remote monitoring (RM) devices capable of identifying early physiologic changes in decompensation have the potential to reduce the HF burden. However, few trials have discussed at length the practical aspects of implementing RM in real-world clinical practice. The present paper reviews current RM devices and clinical trials, focusing on patient populations, outcomes, data collection, storage, and management, and describes the implementation of an RM device in clinical practice, providing a pragmatic and adaptable framework.

DASH-HF Study: A Pragmatic Quality Improvement Randomized Implementation Trial for Patients With Heart Failure With Reduced Ejection Fraction

BACKGROUND

Heart failure is a prevailing diagnosis of hospitalization and readmission within 6 months, and nearly a quarter of these patients die within a year. Guideline-directed medication therapies reduce risk of mortality by 73% over 2 years; however, the implementation of these therapies to their target dose in clinical practice continues to be challenging. In 2020, the Veterans Affairs (VA) Health Care System developed a HF dashboard to monitor and improve outpatient HF management. The DASH-HF (Dashboard Activated Services and Telehealth for Heart Failure) study is a randomized, pragmatic clinical trial to evaluate proactive dashboard-directed telehealth clinics to improve the use and dosing of guideline-directed medication therapy for patients with heart failure with reduced ejection fraction not on optimal guideline-directed medication therapy within the VA.

METHODS

Three hundred veterans with heart failure with reduced ejection fraction met inclusion criteria with an optimization potential score (OPS) of 5 or less out of 10, representing nonoptimal guideline-directed medication therapy. The primary outcome was a composite score of guideline-directed medical therapy, the OPS, 6 months after the end of the intervention. Secondary outcomes included active prescriptions for each individual guideline-directed medical therapy class, HF-related hospitalizations, deaths, and clinician time per patient during the intervention clinics.

RESULTS

There was no significant difference between the intervention arm and usual care group in the primary outcome (OPS, 2.9; SD=2.1 versus OPS, 2.6, SD=2.1); adjusted mean difference 0.3 (95% CI, -0.1 to 0.7) or in the prespecified secondary outcomes for hospitalization and all-cause mortality for the intervention of proactive dashboard-based clinics.

CONCLUSIONS

A dashboard-based clinic intervention did not improve the OPS or secondary outcomes of hospitalization and all-cause mortality. There remains a larger opportunity to better target patients and provide more intensive follow-up to further evaluate the utility of proactive dashboard-based clinics for HF management and quality improvement.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT05001165.

Differences in trends in discharge location in a cohort of hospitalized patients with cancer and non-cancer diagnoses receiving specialist palliative care: A retrospective cohort study

BACKGROUND

Patients with and without cancer are frequently hospitalized, and have specialist palliative care needs. In-hospital mortality can serve as a quality indicator of acute care. Trends in acute care outcomes have not previously been evaluated in patients with confirmed specialist palliative care needs or between diagnostic groups.

AIM

To compare trends in discharge location between hospitalized patients with and without cancer who received specialist palliative care.

DESIGN

Retrospective cohort study. Association between diagnosis (cancer, non-cancer) and in-hospital mortality was assessed using multivariable logistic regression, controlling for demographic, clinical, and admission-specific information.

SETTING/PARTICIPANTS

Patients who received specialist palliative care at an academic tertiary hospital in Toronto, Canada from 2013 to 2019.

RESULTS

The cohort comprised 6846 patients, 5024 with and 1822 without cancer. A higher proportion of patients without cancer had a Palliative Performance Scale score <30%, anticipated prognosis of <1 month, and were referred for end-of-life care (all p < 0.001). The adjusted odds of dying in hospital was 1.24-times higher among patients without cancer (95% CI: 1.05-1.46; p = 0.011). Though the proportion of patients without cancer who died in hospital decreased by 8.4% from 2013 to 2019, this proportion (41.2%) remained substantially higher compared to patients with cancer (14.0%) in 2019.

CONCLUSIONS

Hospitalized patients without cancer were referred to specialist palliative care at a lower functional status, a poorer anticipated prognosis, and more likely for end-of-life care; and were more likely to die in hospital. Future studies are required to determine whether a proportion of hospital deaths in patients without cancer represent goal-discordant end-of-life care.

Implementation of a palliative care consultation trigger tool for hospitalised patients with acute decompensated heart failure

Heart failure is a leading cause of hospitalisations. Integration of palliative care services with medical therapy in the management of hospitalised patients with heart failure is imperative. Unfortunately, there are no standardised criteria for palliative care referrals among hospitalised patients with acute decompensated heart failure. The objective of our quality improvement project was to develop and implement a palliative care consult trigger tool for hospitalised patients with acute decompensated heart failure. We found that among eligible patients, palliative care referrals were underused, likely contributing to misalignment of goals of care and suboptimal advance care planning. We developed a trigger tool and designed and implemented structured multicomponent educational interventions to improve the appropriateness and timeliness of inpatient palliative care consultations in this high-risk population. The educational interventions led to a significant increase in the rate of appropriate inpatient palliative care consultations among hospitalised patients with acute decompensated heart failure (46.3% vs 27.7%; p=0.02). In addition, palliative care referrals resulted in better alignment of goals of care at the time of hospital discharge, as measured by a significant increase in the completion rate of a healthcare proxy form (11.4% vs 47.2%; p<0.001) and a Medical Order for Life-Sustaining Treatment form (2.0% vs 24.1%; p<0.001), as well as the establishment of a Do-Not-Resuscitate order (2.7% vs 29.6%; p<0.001). Furthermore, the intervention resulted in a significant decrease in the hospital readmission rate up to 90 days post-discharge (43.6% vs 8.3%; p<0.001). This quality improvement project calls for the development and adoption of standardised criteria for palliative care referrals to benefit hospitalised patients with heart failure and reduce symptom burden, align goals of care and improve quality of life.

Variation in Risk-Standardized Acute Admission Rates Among Patients With Heart Failure in Accountable Care Organizations: Implications for Quality Measurement

Background Accountable care organizations (ACOs) aim to improve health care quality and reduce costs, including among patients with heart failure (HF). However, variation across ACOs in admission rates for patients with HF and associated factors are not well described. Methods and Results We identified Medicare fee-for-service beneficiaries with HF who were assigned to a Medicare Shared Savings Program ACO in 2017 and survived ≥30 days into 2018. We calculated risk-standardized acute admission rates across ACOs, assigned ACOs to 1 of 3 performance categories, and examined associations between ACO characteristics and performance categories. Among 1 232 222 beneficiaries with HF, 283 795 (mean age, 81 years; 54% women; 86% White; 78% urban) were assigned to 1 of 467 Medicare Shared Savings Program ACOs. Across ACOs, the median risk-standardized acute admission rate was 87 admissions per 100 people, ranging from 61 (minimum) to 109 (maximum) admissions per 100 beneficiaries. Compared to the overall average, 13% of ACOs performed better on risk-standardized acute admission rates, 72% were no different, and 14% performed worse. Most ACOs with better performance had fewer Black beneficiaries and were not hospital affiliated. Most ACOs that performed worse than average were large, located in the Northeast, had a hospital affiliation, and had a lower proportion of primary care providers. Conclusions Admissions are common among beneficiaries with HF in ACOs, and there is variation in risk-standardized acute admission rates across ACOs. ACO performance was associated with certain ACO characteristics. Future studies should attempt to elucidate the relationship between ACO structure and characteristics and admission risk.

Bariatric surgery improves outcomes of hospitalizations for acute heart failure: a contemporary, nationwide analysis

BACKGROUND

The link between obesity and poor outcomes in heart failure (HF) has been well-established.

OBJECTIVES

This retrospective study sought to examine national rates and outcomes of acute HF hospitalizations in obese individuals with a prior history of bariatric surgery.

SETTING

Academic, university-affiliated; the United States.

METHODS

Adult admissions (≥18 years) including a diagnosis of severe obesity were identified in the 2016-2019 Nationwide Readmissions Database. Patients who previously underwent bariatric operations were categorized into the Bariatric cohort. Multivariable linear and logistic models were used to assess the association of prior bariatric surgery with outcomes of interest.

RESULTS

Of an estimated 10,343,828 admissions for a diagnosis of severe obesity, 925,716 (8.9%) comprised the bariatric cohort. After risk adjustment, bariatric surgery was associated with significantly decreased odds of acute HF hospitalization (adjusted odds ratio [AOR]: .40, 95% confidence interval [CI]: .38-.41). Among acute HF hospitalizations, prior bariatric surgery was linked to lower odds of mortality (AOR: .68, 95% CI: .52-.89), prolonged mechanical ventilation (AOR .44, 95% CI: .32-.61), acute renal failure (AOR: .76, 95% CI: .70-.82), and prolonged hospitalization (AOR: .77, 95% CI: .68-.87). Bariatric surgery was linked to a decrement of 1 day (95% CI: .7-1.1) and $1200 in hospitalization costs (95% CI: 400-1900), but no significant difference in odds of 30-day readmission.

CONCLUSIONS

Bariatric surgery is associated with reduced admissions for acute HF. Among acute HF hospitalizations, bariatric surgery is linked to significantly improved clinical and financial outcomes. Given its potential benefits in obesity and related diseases, bariatric surgery holds promise for promoting value-based healthcare for HF.

Updates in Cardiorenal Syndrome

Cardiorenal syndrome is a term that refers to a collection of disorders involving both the heart and kidneys, encompassing multi-directional pathways between the 2 organs mediated through low arterial perfusion, venous congestion, and neurohormonal activation. The pathophysiology is complex and includes hemodynamic and neurohormonal changes, but inconsistent findings from recent studies suggest this is very heterogenous disorder. Management for ADHF remains focused on decongestion and neurohormonal blockade to overcome the intense sodium and fluid avidity of the CRS.

Financial Toxicity of Medical Management of Heart Failure: JACC Review Topic of the Week

Optimal medical management of heart failure (HF) improves quality of life, decreases mortality, and decreases hospitalizations. Cost may contribute to suboptimal adherence to HF medications, especially angiotensin receptor-neprilysin inhibitors and sodium-glucose cotransporter-2 inhibitors. Patients' experiences with HF medication cost include financial burden, financial strain, and financial toxicity. Although there has been research studying financial toxicity in patients with some chronic diseases, there are no validated tools for measuring financial toxicity of HF, and very few data on the subjective experiences of patients with HF and financial toxicity. Strategies to decrease HF-associated financial toxicity include making systemic changes to minimize cost sharing, optimizing shared decision-making, implementing policies to lower drug costs, broadening insurance coverage, and using financial navigation services and discount programs. Clinicians may also improve patient financial wellness through various strategies in routine clinical care. Future research is needed to study financial toxicity and associated patient experiences for HF.

Application of Accelerator Mass Spectrometry to Characterize the Mass Balance Recovery and Disposition of AZD4831, a Novel Myeloperoxidase Inhibitor, following Administration of an Oral Radiolabeled Microtracer Dose in Humans

This study evaluated the mass balance and disposition of AZD4831, a novel myeloperoxidase inhibitor, in six healthy participants using a ¹⁴C-labeled microtracer coupled with analysis by accelerator mass spectrometry (AMS). A single oral dose of 10 mg ¹⁴C-AZD4831 (14.8 kBq) was administered as a solution, and ¹⁴C levels were quantified by AMS in blood, urine, and feces over 336 hours postdose. AZD4831 was rapidly absorbed, and AZD4831 plasma concentrations declined in a biphasic manner, with a long half-life of 52 hours. AZD4831 was eliminated via metabolism and renal excretion. An N-carbamoyl glucuronide metabolite of AZD4831 (M7), formed primarily via UGT1A1, was the predominant circulating metabolite. Presumably, M7 contributed to the long half-life of AZD4831 via biliary elimination and hydrolysis/enterohepatic recirculation of AZD4831. On average, ∼84% of administered ¹⁴C-AZD4831 was recovered by 336 hours postdose (urine, 51.2%; feces, 32.4%). Between 32%-44% of the dose was excreted as unchanged AZD4831 in urine, indicating renal elimination as the major excretory route. Only 9.7% of overall fecal recovery was recorded in the first 48 hours, with the remainder excreted over 48%-336 hours, suggesting that most fecal recovery was due to biliary elimination. Furthermore, only 6% of unchanged AZD4831 was recovered in feces. Overall, the fraction of the administered AZD4831 dose absorbed was high. ¹⁴C-AZD4831 was well tolerated. These findings contribute to increasing evidence that human absorption, distribution, metabolism, and excretion studies can be performed with acceptable mass balance recovery at therapeutically relevant doses and low radiolabel-specific activity using an AMS-¹⁴C microtracer approach. SIGNIFICANCE STATEMENT: In this study, the human absorption, distribution, metabolism, and excretion (hADME) of the novel myeloperoxidase inhibitor AZD4831 was assessed following oral administration. This included investigation of the disposition of M7, the N-carbamoyl glucuronide metabolite. Resolution of challenges highlighted in this study contributes to increasing evidence that hADME objectives can be achieved in a single study for compounds with therapeutically relevant doses and low radiolabel-specific activity by using an AMS-¹⁴C microtracer approach, thus reducing the need for preclinical radiolabeled studies.

Outcomes of Heart Failure Related Hospitalizations During the COVID-19 Pandemic

BACKGROUND

 The incidence and prevalence of heart failure (HF) in the United States has steadily increased in the past few decades. Similarly, the United States has experienced an increase in HF-related hospitalizations which has added to the burden of a resource-stretched healthcare system. With the emergence of the coronavirus disease 2019 (COVID-19) pandemic in 2020, hospitalizations due to the COVID-19 infection sky-rocketed further exacerbating the burden on both patient health and the healthcare system. The focus of this study is to examine how a secondary COVID-19 diagnosis affects the outcome of HF patients, and how a pre-existing diagnosis of heart failure impacts the outcomes of patients hospitalized with COVID-19 infection.

METHODS

This was a retrospective observational study of adult patients hospitalized with heart failure and COVID-19 infection in the United States in the years 2019 and 2020. Analysis was conducted using the National Inpatient Sample (NIS) database of the Healthcare Utilization Project (HCUP). The total number of patients included in this study from the NIS database 2020 was 94,745. Of those, 93,798 had heart failure without a secondary diagnosis of COVID-19; 947 had heart failure along with a secondary diagnosis of COVID-19. The primary outcome of our study was in-hospital mortality, length of stay, total hospital charges and time from admission to right heart catheterization, which were compared between the two cohorts.  Results: Our main study findings are that mortality in HF patients with secondary diagnosis of COVID-19 infection was not statistically different compared to those who were without a secondary diagnosis of COVID-19. Our study findings also showed that length of stay (LOS) and hospital costs in HF patients who had a secondary diagnosis of COVID-19 were not statistically different compared to those who did not have the secondary diagnosis. Time from admission to right heart catheterization (RHC) in HF patients who had a secondary diagnosis of COVID-19 was shorter in heart failure with reduced ejection fraction (HFrEF) but not in heart failure preserved ejection fraction (HFpEF) compared to those without secondary diagnoses of COVID-19. Finally, when evaluating hospital outcomes for patients admitted with COVID-19 infection, we found that inpatient mortality increased significantly when they had a pre-existing diagnosis of heart failure.

CONCLUSION

The COVID-19 pandemic significantly impacted hospitalization outcomes for patients admitted with heart failure. The time from admission to right heart catheterization was significantly shorter in patients admitted with heart failure reduced ejection fraction who also had a secondary diagnosis of COVID-19 infection. When evaluating hospital outcomes for patients admitted with COVID-19 infection, we found that inpatient mortality increased significantly when they had a pre-existing diagnosis of heart failure. Length of hospital stay and hospital charges also were higher for patients with COVID-19 infection who had pre-existing heart failure. Further studies should focus not just on how medical comorbidities like COVID-19 infection, affect outcomes of heart failure but also on how overall strains on the healthcare system, such as pandemics, may affect the management of conditions such as heart failure.

Point-of-care ultrasound in diagnosis and management of congestive nephropathy

Congestive nephropathy is kidney dysfunction caused by the impact of elevated venous pressures on renal hemodynamics. As a part of cardiorenal syndrome, the diagnosis is usually made based on history and physical examination, with findings such as jugular venous distension, a third heart sound, and vital signs as supporting findings. More recently, however, these once though objective measures have come under scrutiny for their accuracy. At the same time, bedside ultrasound has increased in popularity and is routinely being used by clinicians to take some of the guess work out of making the diagnosis of volume overload and venous congestion. In this mini-review, we will discuss some of the traditional methods used to measure venous congestion, describe the role of point-of-care ultrasound and how it can ameliorate a clinician’s evaluation, and offer a description of venous excess ultrasound score, a relatively novel scoring technique used to objectively quantify congestion. While there is a paucity of published large scale clinical trials evaluating the potential benefit of ultrasonography in venous congestion compared to gold standard invasive measurements, more study is underway to solidify the role of this objective measure in daily clinical practice.

Excess of heart failure-related deaths during the 2020 COVID-19 pandemic in Unites States

BACKGROUND

HF can be encountered at different stages in the course of COVID-19 disease. However, data regarding the HF-related mortality during COVID-19 pandemic are scant OBJECTIVE: We investigate the heart failure (HF)-related mortality rate in the US among patient with or without COVID-19 infection during the first two pandemic waves in 2020 and to compare them to those of previous years (2014-2019).

METHODS

Age-adjusted mortality rates (AAMR) per 100.000 person-years, with relative 95% confidence interval (CI) were determined using the free-available dataset for Multiple cause-of-death, provided by the Center for Disease Control.

RESULTS

Throughout the 2020, the first year of the COVID-19 pandemic, 522.848 HF-related deaths were registered (461.594 and 61.254 in subjects without and with COVID-19 infection, respectively). The overall HF-related AAMR was 124.6 (65% CI 123.4-125.6), reflecting an increased HF-related mortality of 13.2% and 25.9% compared to 2019 and 2018 (p < 0.0001). HF-related AAMR was 111.0 (95% CI: 110.7-111.4) and 14.8 (95% CI: 14.6-14.9) per 100.000 population for decedents without and with COVID-19 disease, respectively. The proportionate mortality of HF in COVID-19 patients was 11.7%. HF-related AAMR in COVID-19 patients was higher in men (18.0 per 100.000, 95% CI: 17.8-18.2), in patients aged more 65 years (104.0 per 100.000, 95% CI: 103.1-104.9), in African Americans (22.5 per 100.000, 95% CI: 22.0-22.3) and in those living in rural counties (18.4 per 100.000, 95% CI: 18.0-18.7).

CONCLUSIONS

A significant increase in the HF-related mortality during the 2020 was observed synchronously with the COVID-19 pandemic.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Rationale and Design of the Proactive-HF Trial for Managing Patients With NYHA Class III Heart Failure by Using the Combined Cordella Pulmonary Artery Sensor and the Cordella Heart Failure System

BACKGROUND

Optimizing guideline-directed medical therapy (GDMT) and monitoring congestion in patients with heart failure (HF) are key to disease management and preventing hospitalizations. A pulmonary artery pressure (PAP)-guided HF management system providing access to body weight, blood pressure, heart rate, blood oxygen saturation, PAP, and symptoms, may provide new insights into the effects of patient engagement and comprehensive care for remote GDMT titration and congestion management.

METHODS

The PROACTIVE-HF study was originally approved in 2018 as a prospective, randomized, controlled, single-blind, multicenter trial to evaluate the safety and effectiveness of the Cordella PAP Sensor in patients with HF and with New York Heart Association (NYHA) functional class III symptoms. Since then, robust clinical evidence supporting PAP-guided HF management has emerged, making clinical equipoise and enrolling patients into a standard-of-care control arm challenging. Therefore, PROACTIVE-HF was changed to a single-arm trial in 2021 with prespecified safety and effectiveness endpoints to provide evidence for a similar risk/benefit profile as the CardioMEMS HF System.

CONCLUSION

The single-arm PROACTIVE-HF trial is expected to further demonstrate the benefits of PAP-guided HF management of patients with NYHA class III HF. The addition of vital signs, patient engagement and self-reported symptoms may provide new insights into remote GDMT titration and congestion management.

Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

BACKGROUND

Cardiovascular disease, cancer, diabetes mellitus, and obesity are common chronic diseases, and their prevalence is reaching an epidemic level worldwide. As the impact of chronic diseases continues to increase, finding strategies to improve care, access to care, and patient empowerment becomes increasingly essential. Health care providers use mobile health (mHealth) to access clinical information, collaborate with care teams, communicate over long distances with patients, and facilitate real-time monitoring and interventions. However, these apps focus on improving general health care concerns, with limited apps focusing on specific chronic diseases and the nutrition involved in the disease state. Hence, available evidence on the effectiveness of mHealth apps toward behavior change to improve chronic disease outcomes is limited.

OBJECTIVE

The objective of this scoping review was to provide an overview of behavior change effectiveness using mHealth nutrition interventions in people with chronic diseases (ie, cardiovascular disease, diabetes mellitus, cancer, and obesity). We further evaluated the behavior change techniques and theories or models used for behavior change, if any.

METHODS

A scoping review was conducted through a systematic literature search in the MEDLINE, EBSCO, PubMed, ScienceDirect, and Scopus databases. Studies were excluded from the review if they did not involve an app or nutrition intervention, were written in a language other than English, were duplicates from other database searches, or were literature reviews. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, the systematic review process included 4 steps: identification of records through the database search, screening of duplicate and excluded records, eligibility assessment of full-text records, and final analysis of included records.

RESULTS

In total, 46 studies comprising 256,430 patients were included. There was diversity in the chronic disease state, study design, number of participants, in-app features, behavior change techniques, and behavior models used in the studies. In addition, our review found that less than half (19/46, 41%) of the studies based their nutrition apps on a behavioral theory or its constructs. Of the 46 studies, 11 (24%) measured maintenance of health behavior change, of which 7 (64%) sustained behavior change for approximately 6 to 12 months and 4 (36%) showed a decline in behavior change or discontinued app use.

CONCLUSIONS

The results suggest that mHealth apps involving nutrition can significantly improve health outcomes in people with chronic diseases. Tailoring nutrition apps to specific populations is recommended for effective behavior change and improvement of health outcomes. In addition, some studies (7/46, 15%) showed sustained health behavior change, and some (4/46, 9%) showed a decline in the use of nutrition apps. These results indicate a need for further investigation on the sustainability of the health behavior change effectiveness of disease-specific nutrition apps.

Characteristics, Treatment Patterns, and Clinical Outcomes After Heart Failure Hospitalizations During the COVID-19 Pandemic, March to October 2020

OBJECTIVE

To compare clinical characteristics, treatment patterns, and 30-day all-cause readmission and mortality between patients hospitalized for heart failure (HF) before and during the coronavirus disease 2019 (COVID-19) pandemic.

PATIENTS AND METHODS

The study was conducted at 16 hospitals across 3 geographically dispersed US states. The study included 6769 adults (mean age, 74 years; 56% [5033 of 8989] men) with cumulative 8989 HF hospitalizations: 2341 hospitalizations during the COVID-19 pandemic (March 1 through October 30, 2020) and 6648 in the pre-COVID-19 (October 1, 2018, through February 28, 2020) comparator group. We used Poisson regression, Kaplan-Meier estimates, multivariable logistic, and Cox regression analysis to determine whether prespecified study outcomes varied by time frames.

RESULTS

The adjusted 30-day readmission rate decreased from 13.1% (872 of 6648) in the pre-COVID-19 period to 10.0% (234 of 2341) in the COVID-19 pandemic period (relative risk reduction, 23%; hazard ratio, 0.77; 95% CI, 0.66 to 0.89). Conversely, all-cause mortality increased from 9.7% (645 of 6648) in the pre-COVID-19 period to 11.3% (264 of 2341) in the COVID-19 pandemic period (relative risk increase, 16%; number of admissions needed for one additional death, 62.5; hazard ratio, 1.19; 95% CI, 1.02 to 1.39). Despite significant differences in rates of index hospitalization, readmission, and mortality across the study time frames, the disease severity, HF subtypes, and treatment patterns remained unchanged (P>0.05).

CONCLUSION

The findings of this large tristate multicenter cohort study of HF hospitalizations suggest lower rates of index hospitalizations and 30-day readmissions but higher incidence of 30-day mortality with broadly similar use of HF medication, surgical interventions, and devices during the COVID-19 pandemic compared with the pre-COVID-19 time frame.