Evaluation of Quality of Care for US Veterans With Recent-Onset Heart Failure With Reduced Ejection Fraction

How adoption of new pharmaceuticals can impact US health system reimbursement under alternative payment models: An economic model measuring the impact of sotagliflozin among patients with heart failure and diabetes

BACKGROUND

Heart failure (HF) is among the leading causes of death in the United States. Further, patients hospitalized because of HF with comorbid diabetes mellitus (DM) are at a significantly increased risk of death and rehospitalization. Results from the SOLOIST-WHF trial show that sotagliflozin lowered rates of readmission among hospitalized patients with HF and comorbid DM. However, it is unclear what the economic impact of the use of sotagliflozin would be on hospitals and health systems, particularly in an age where provider reimbursement is increasingly tied to value.

OBJECTIVE

To quantify the 1-year financial impact on US provider health systems of adopting sotagliflozin relative to standard of care (SoC) across different alternative payment models.

METHODS

This study created a 3-part decision tree model to quantify the financial impact of using sotagliflozin to treat patients hospitalized with HF in a US hospital setting. The model first estimated the clinical and economic outcomes of health systems with current SoC (no sotagliflozin) to treat US patients hospitalized for HF with comorbid DM. Then, using the results from the SOLOIST trial, the changes in clinical and economic outcomes with sotagliflozin adoption were modeled. Finally, the differences in health care utilization between sotagliflozin and SoC arms were translated to differences in health system reimbursement in the context of 3 common alternative payment models (APMs) in addition to the baseline fee-for-service (FFS) model: FFS with the Hospital Readmissions Reduction Program, the Bundled Payments for Care Improvement-Advanced program, and Accountable Care Organizations.

RESULTS

A typical community hospital would have 83.4 patients per year on average with an index HF hospitalization with comorbid DM. The model predicted that sotagliflozin would reduce the probability of hospitalization, emergency department visits, and deaths by 29.3%, 38.5%, and 17.8%, respectively, compared with SoC. For hospitals not participating in APM programs, sotagliflozin resulted in a net loss of $92.94 per person ($7,754 per health system). Conversely, when accounting for provider health system participation in APMs, sotagliflozin adoption increased financial returns by $4,720 per person ($305,604 per health system) under the Hospital Readmissions Reduction Program, $1,200 per person ($100,106 per health system) for the Bundled Payments for Care Improvement-Advanced program, and $1,078 per person ($31,029 per health system) for Accountable Care Organizations. Based on the national average composition of APM reimbursement, sotagliflozin adoption resulted in a $1,576 increase in margin per patient with HF ($105,454 per health system).

CONCLUSIONS

Although sotagliflozin adoption reduced health system revenue in an FFS payment model, it led to a net positive financial impact after accounting for APM bonus payments.

Health Status in Heart Failure and Cancer: Analysis of the Medicare Health Outcomes Survey 2016-2020

BACKGROUND

People with heart failure (HF) and cancer experience impaired physical and mental health status. However, health-related quality of life (HRQOL) has not been directly compared between these conditions in a contemporary population of older people.

OBJECTIVES

The authors sought to compare HRQOL in people with HF vs those with lung, colorectal, breast, and prostate cancers.

METHODS

The authors performed a pooled analysis of Medicare Health Outcomes Survey data from 2016 to 2020 in participants ≥65 years of age with a self-reported history of HF or active treatment for lung, colon, breast, or prostate cancer. They used the Veterans RAND-12 physical component score (PCS) and mental component score (MCS), which range from 0-100 with a mean score of 50 (based on the U.S. general population) and an SD of 10. The authors used pairwise Student's t-tests to evaluate for differences in PCS and MCS between groups.

RESULTS

Among participants with HF (n = 71,025; 54% female, 16% Black), mean PCS was 29.5 and mean MCS 47.9. Mean PCS was lower in people with HF compared with lung (31.2; n = 4,165), colorectal (35.6; n = 4,270), breast (37.7; n = 14,542), and prostate (39.6; n = 17,670) cancer (all P < 0.001). Participants with HF had a significantly lower mean MCS than those with lung (31.2), colon (50.0), breast (52.0), and prostate (53.0) cancer (all P < 0.001).

CONCLUSIONS

People with HF experience worse HRQOL than those with cancer actively receiving treatment. The pervasiveness of low HRQOL in HF underscores the need to implement evidence-based interventions that target physical and mental health status and scale multidisciplinary clinics.

Telephone-Based Guideline-Directed Medical Therapy Optimization in Navajo Nation: The Hózhó Randomized Clinical Trial

Importance

Underutilization of guideline-directed medical therapy for heart failure with reduced ejection fraction is a major cause of poor outcomes. For many American Indian patients receiving care through the Indian Health Service, access to care, especially cardiology care, is limited, contributing to poor uptake of recommended therapy.

Objective

To examine whether a telehealth model in which guideline-directed medical therapy is initiated and titrated over the phone with remote telemonitoring using a home blood pressure cuff improves guideline-directed medical therapy use (eg, drug classes and dosage) in patients with heart failure with reduced ejection fraction in Navajo Nation.

Design, Setting, and Participants

The Heart Failure Optimization at Home to Improve Outcomes (Hózhó) randomized clinical trial was a stepped-wedge, pragmatic comparative effectiveness trial conducted from February to August 2023. Patients 18 years and older with a diagnosis of heart failure with reduced ejection fraction receiving care at 2 Indian Health Service facilities in rural Navajo Nation (defined as having primary care physician with 1 clinical visit and 1 prescription filled in the last 12 months) were enrolled. Patients were randomized to the telehealth care model or usual care in a stepped-wedge fashion, with 5 time points (30-day intervals) until all patients crossed over into the intervention. Data analyses were completed in January 2024.

Intervention

A phone-based telehealth model in which guideline-directed medical therapy is initiated and titrated at home, using remote telemonitoring with a home blood pressure cuff.

Main Outcomes and Measures

The primary outcome was an increase in the number of guideline-directed classes of drugs filled from the pharmacy at 30 days postrandomization.

Results

Of 103 enrolled American Indian patients, 42 (40.8%) were female, and the median (IQR) age was 65 (53-77) years. The median (IQR) left ventricular ejection fraction was 32% (24%-36%). The primary outcome occurred significantly more in the intervention group (66.2% vs 13.1%), thus increasing uptake of guideline-directed classes of drugs by 53% (odds ratio, 12.99; 95% CI, 6.87-24.53; P < .001). The number of patients needed to receive the telehealth intervention to result in an increase of guideline-directed drug classes was 1.88.

Conclusions and Relevance

In this heart failure trial in Navajo Nation, a telephone-based strategy of remote initiation and titration for outpatients with heart failure with reduced ejection fraction led to improved rates of guideline-directed medical therapy at 30 days compared with usual care. This low-cost strategy could be expanded to other rural settings where access to care is limited.

Trial Registration

ClinicalTrials.gov Identifier: NCT05792085.

Efficacy and safety of implantable cardioverter-defibrillator implantation in the elderly-The I-70 Study: A randomized clinical trial

Background

There is conflicting evidence on the efficacy of primary prevention implantable cardioverter-defibrillator (ICD) implantation in the elderly.

Objective

The purpose of this study was to determine the efficacy and safety of ICD implantation in patients 70 years and older.

Methods

Patients (n = 167) aged 70 years or older and eligible for ICD implantation were randomly assigned (1:1) to receive either optimal medical therapy (OMT) (n = 85) or OMT plus ICD (n = 82).

Results

Of the 167 participants (mean age 76.4 years; 165 men), 144 completed the study protocol according to their assigned treatment. Average participant follow-up was 31.5 months. Mortality was similar between the 2 groups: 27 deaths in OMT vs 26 death in ICD (unadjusted hazard ratio 0.92; 95% confidence interval 0.53-1.57), but there was a trend favoring the ICD over the first 36 months of follow-up. Rates of sudden death (7 vs 5; P = .81) and all-cause hospitalization (2.65 events per participant in OMT vs 3.09 in ICD; P = .31) were not statistically significantly different. Eleven participants randomized to ICD received appropriate therapy. Five participants received an inappropriate therapy that included at least 1 ICD shock.

Conclusion

The study did not recruit to target sample size, and accumulated data did not show benefit of ICD therapy in patients 70 years or older. Future studies similar in design might be feasible but will need to contend with patient treatment preference given the large number of patients who do not want an ICD implanted. Further research is needed to determine whether the ICD is effective in prolonging life among elderly device candidates.

Generalizable Approach to Quantifying Guideline-Directed Medical Therapy

BACKGROUND

Quantifying guideline-directed medical therapy (GDMT) intensity is foundational for improving heart failure (HF) care. Existing measures discount dose intensity or use inconsistent weighting.

METHODS

The Kansas City Medical Optimization (KCMO) score is the average of total daily to target dose percentages for eligible GDMT, reflecting the percentage of optimal GDMT prescribed (range, 0-100). In Change the Management of Patients With HF, we computed KCMO, HF collaboratory (0-7), and modified HF Collaboratory (0-100) scores for each patient at baseline and for 1-year change in established GDMT at the time (mineralocorticoid receptor antagonist, β-blocker, ACE [angiotensin-converting enzyme] inhibitor/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitor). We compared baseline and 1-year change distributions and the coefficient of variation (SD/mean) across scores.

RESULTS

Among 4532 patients at baseline, mean KCMO, HF collaboratory, and modified HF Collaboratory scores were 38.8 (SD, 25.7), 3.4 (1.7), and 42.2 (22.2), respectively. The mean 1-year change (n=4061) for KCMO was -1.94 (17.8); HF collaborator, -0.11 (1.32); and modified HF Collaboratory, -1.35 (19.8). KCMO had the highest coefficient of variation (0.66), indicating greater variability around the mean than the HF collaboratory (0.49) and modified HF Collaboratory (0.53) scores, reflecting higher resolution of the variability in GDMT intensity across patients.

CONCLUSIONS

KCMO measures GDMT intensity by incorporating dosing and treatment eligibility, provides more granularity than existing methods, is easily interpretable (percentage of ideal GDMT), and can be adapted as performance measures evolve. Further study of its association with outcomes and its usefulness for quality assessment and improvement is needed.

Development and Optimization of the Veterans Affairs' National Heart Failure Dashboard for Population Health Management

BACKGROUND

In 2020, the Veterans Affairs (VA) health care system deployed a heart failure (HF) dashboard for use nationally. The initial version was notably imprecise and unreliable for the identification of HF subtypes. We describe the development and subsequent optimization of the VA national HF dashboard.

MATERIALS AND METHODS

This study describes the stepwise process for improving the accuracy of the VA national HF dashboard, including defining the initial dashboard, improving case definitions, using natural language processing for patient identification, and incorporating an imaging-quality hierarchy model. Optimization further included evaluating whether to require concurrent ICD-codes for inclusion in the dashboard and assessing various imaging modalities for patient characterization.

RESULTS

Through multiple rounds of optimization, the dashboard accuracy (defined as the proportion of true results to the total population) was improved from 54.1% to 89.2% for the identification of HF with reduced ejection fraction (HFrEF) and from 53.9% to 88.0% for the identification of HF with preserved ejection fraction (HFpEF). To align with current guidelines, HF with mildly reduced ejection fraction (HFmrEF) was added to the dashboard output with 88.0% accuracy.

CONCLUSIONS

The inclusion of an imaging-quality hierarchy model and natural-language processing algorithm improved the accuracy of the VA national HF dashboard. The revised dashboard informatics algorithm has higher use rates and improved reliability for the health management of the population.

Rationale and protocol of the LAQUA-HF trial: a factorial randomised controlled trial evaluating the effects of neurohormonal and diuretic agents on health-status reported outcomes in heart failure patients

INTRODUCTION

The current guidelines strongly recommend early initiation of multiple classes of cardioprotective drugs for patients with heart failure with reduced ejection fraction to improve prognosis and health status. However, evidence on the optimal sequencing of approved drugs is scarce, highlighting the importance of individualised treatment plans. Registry data indicate that only a portion of these patients can tolerate all four recommended classes, underscoring the need to establish the favoured sequence when using these drugs. Additionally, the choice between long-acting and short-acting loop diuretics in the present era remains uncertain. This is particularly relevant given the frequent use of angiotensin receptor-neprilysin inhibitor and sodium-glucose cotransporter 2 inhibitor, both of which potentiate natriuretic effects.

METHODS AND ANALYSIS

In a prospective, randomised, open-label, blinded endpoint method, LAQUA-HF (Long-acting vs short-acting diuretics and neurohormonal Agents on patients' QUAlity-of-life in Heart Failure patients) will be a 2×2 factorial design, with a total of 240 patients randomised to sacubitril/valsartan versus dapagliflozin and torsemide versus furosemide in a 1:1 ratio. Most enrolment sites have participated in an ongoing observational registry for consecutive patients hospitalised for heart failure involved dedicated study coordinators, and used the same framework to enrol patients. The primary endpoint is the change in patients' health status over 6 months, defined by the Kansas City Cardiomyopathy Questionnaire. Additionally, clinical benefit at 6 months defined as a hierarchical composite endpoint will be assessed by the win ratio as the secondary endpoint.

ETHICS AND DISSEMINATION

The medical ethics committee Keio University in Japan has approved this trial. All participants provide written informed consent prior to study entry. The results of this trial will be disseminated in one main paper and additional papers on secondary endpoints and subgroup analyses.

TRIAL REGISTRATION NUMBER

UMIN000045229.

Implementation of evidence-based heart failure management: Regional variations between Japan and the USA

The implementation of optimal medical therapy is a crucial step in the management of heart failure with reduced ejection fraction (HFrEF). Over the prior three decades, there have been substantial advancements in this field. Early and accurate detection and diagnosis of the disease allow for the appropriate initiation of optimal therapies. The initiation and uptitration of optimal medical therapy including renin-angiotensin system inhibitor, beta-blocker, mineralocorticoid receptor antagonist, and sodium-glucose cotransporter 2 inhibitor in the early stage would prevent the progression and morbidity of HF. Concurrently, individualized surveillance to recognize and treat signs of disease progression is critical given the progressive nature of HF, even among stable patients on optimal therapy. However, there remains a wide variation in regional practice regarding the initiation, titration, and long-term monitoring of this therapy. To cover the differences in approaches toward HFrEF management and the implementation of guideline-based medical therapy, we discuss the current evidence in this arena, differences in present guideline recommendations, and compare practice patterns in Japan and the USA using a case of new-onset HF as an example. We will discuss pros and cons of the way HF is managed in each region, and highlight potential areas for improvement in care.

Heart failure management guidelines: New recommendations and implementation

The prevalence of heart failure has increased in many developed countries including Japan and the USA, due in large part to the aging of their populations. The lifetime risk of heart failure is now 20-30 % in the USA. Fortunately, there have been important advances in therapy that increase quality and length of life for those with heart failure. This review discusses the important advances in care including treatment and diagnosis and the new recommendations for this care from the recent American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Failure Society of America (HFSA) Guideline. Relevant studies that have been published since the guideline was released are also included. Of the many recommendations in the ACC/AHA/HFSA Guideline, this review focuses on the definition of heart failure, the medical treatments specific to left ventricular ejection fraction, use of devices for treatment and diagnosis, diagnosis and treatment of amyloidosis, treatment of iron deficiency, screening for asymptomatic left ventricular dysfunction, use of patient reported outcomes, and tools for implementation.

Uptake of Sodium-Glucose Cotransporter-2 Inhibitors in Hospitalized Patients With Heart Failure: Insights From the Veterans Affairs Healthcare System

BACKGROUND

The use of sodium-glucose cotransporter-2 inhibitors (SGLT2is) in Veterans Affairs (VA) patients hospitalized with heart failure (HF) has not been reported previously.

METHODS

VA electronic health record data were used to identify patients hospitalized for HF (primary or secondary diagnosis) from 01/2019-11/2022. Patients with SGLT2i allergy, advanced/end-stage chronic kidney disease (CKD) or advanced HF therapies were excluded. We identified factors associated with discharge SGLT2i prescriptions for patients hospitalized due to HF in 2022. We also compared SGLT2i and angiotensin receptor-neprilysin inhibitor (ARNI) prescription rates. Hospital-level variations in SGLT2i prescriptions were assessed via the median odds ratio.

RESULTS

A total of 69,680 patients were hospitalized due to HF; 10.3% were prescribed SGLT2i at discharge (4.4% newly prescribed, 5.9% continued preadmission therapy). SGLT2i prescription increased over time and was higher in patients with HFrEF and primary HF. Among 15,762 patients hospitalized in 2022, SGLT2i prescription was more likely in patients with diabetes (adjusted odds ratio [aOR] 2.27; 95% confidence interval [CI]: 2.09-2.47) and ischemic heart disease (aOR 1.14; 95% CI: 1.03-1.26). Patients with increased age (aOR 0.77 per 10 years; 95% CI: 0.73-0.80) and lower systolic blood pressure (aOR 0.94 per 10 mmHg; 95% CI: 0.92-0.96) were less likely to be prescribed SGLT2i, and SGLT2i prescription was not more likely in patients with CKD (aOR 1.07; 95% CI 0.98-1.16). The adjusted median odds ratio suggested a 1.8-fold variation in the likelihood that similar patients at 2 random VA sites were prescribed SGLT2i (range 0-21.0%). In patients with EF ≤ 40%, 30.9% were prescribed SGLT2i while 26.9% were prescribed ARNI (P < 0.01).

CONCLUSION

One-tenth of VA patients hospitalized for HF were prescribed SGLT2i at discharge. Opportunities exist to reduce variation in SGLT2i prescription rates across hospitals and to promote its use in patients with CKD and older age.

VA Home Telehealth Program for Initiating and Optimizing Heart Failure Guideline-Directed Medical Therapy

Background

Heart failure (HF) is a chronic, progressive medical condition. Evidence suggests that guideline-directed medical therapy improves both morbidity and mortality in patients with HF with reduced ejection fraction when properly optimized. Unfortunately, many patients do not receive optimized therapy, highlighting the need to optimize clinicians' methods to more effectively and efficiently initiate and titrate medical therapy.

Methods

This single-center, retrospective study evaluated the rates of drug interventions prompted by the home telehealth monitoring program for veterans with HF with reduced ejection fraction. Rates of drug interventions were evaluated among those who enrolled and those who did not enroll in the program.

Results

There were 20 drug-related interventions in the home telehealth group compared with 11 interventions for the control group. One HF-related hospitalization occurred in the home telehealth program group compared with 6 in the control group.

Conclusions

This study demonstrates the potential of home telehealth to optimize veterans' medication regimens and to reduce HF-related hospitalizations. It also provides an additional catalyst to further develop home telehealth services specifically targeted at drug therapy initiation and optimization in patients with HF with reduced ejection fraction.

Geographic Variation in the Quality of Heart Failure Care Among U.S. Veterans

BACKGROUND

The burden of heart failure is growing. Guideline-directed medical therapies (GDMT) reduce adverse outcomes in heart failure with reduced ejection fraction (HFrEF). Whether there is geographic variation in HFrEF quality of care is not well described.

OBJECTIVES

This study evaluated variation nationally for prescription of GDMT within the Veterans Health Administration.

METHODS

A cohort of Veterans with HFrEF had their address linked to hospital referral regions (HRRs). GDMT prescription was defined using pharmacy data between July 1, 2020, and July 1, 2021. Within HRRs, we calculated the percentage of Veterans prescribed GDMT and a composite GDMT z-score. National choropleth maps were created to evaluate prescription variation. Associations between GDMT performance and demographic characteristics were evaluated using linear regression.

RESULTS

Maps demonstrated significant variation in the HRR composite score and GDMT prescriptions. Within HRRs, the prescription of beta-blockers to Veterans was highest with a median of 80% (IQR: 77.3%-82.2%) followed by angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitors (69.3%; IQR: 66.4%-72.1%), sodium-glucose cotransporter-2 inhibitors (10.3%; IQR: 7.7%-12.8%), mineralocorticoid receptor antagonists (29.2%; IQR: 25.8%-33.9%), and angiotensin receptor-neprilysin inhibitors (12.2%; IQR: 8.6%-15.3%). HRR composite GDMT z-scores were inversely associated with the HRR median Gini coefficient (R = -0.13; P = 0.0218) and the percentage of low-income residents (R = -0.117; P = 0.0413).

CONCLUSIONS

Wide geographic differences exist for HFrEF care. Targeted strategies may be required to increase GDMT prescription for Veterans in lower-performing regions, including those affected by income inequality and poverty.

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.

Implementing Guideline-Directed Medical Therapy for Heart Failure: JACC Focus Seminar 1/3

Despite the availability of lifesaving guideline-directed medical therapy (GDMT) for heart failure with reduced ejection fraction (HFrEF), there remain major gaps in utilization of these therapies among eligible patients. Simultaneous with these gaps in quality of care, HFrEF continues as a leading cause of death and hospitalization with associated clinical risk far exceeding most other cardiovascular and noncardiovascular conditions. In the context of this urgent need to improve provision of appropriate therapy, multiple lines of evidence support various implementation strategies. Such strategies include in-hospital initiation of GDMT, simultaneous or rapid sequence initiation of GDMT, participation in quality improvement registries to assess site performance and provide feedback, multidisciplinary titration clinics, virtual consult teams, reduction of cost-sharing, remote algorithm-based medication optimization, electronic health record-based interventions, and direct-to-patient educational initiatives. This review describes and contextualizes the evidence surrounding each of these potential avenues for improving use of foundational GDMTs for patients with HFrEF.

Pharmacist- and Nurse-Led Medical Optimization in Heart Failure: A Systematic Review and Meta-Analysis

BACKGROUND

Traditional approaches to guideline-directed medical therapy (GDMT) management often lead to delayed initiation and titration of therapies in patients with heart failure. This study sought to characterize alternative models of care involving nonphysician provider-led GDMT interventions and their associations with therapy use and clinical outcomes.

METHODS

We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) and observational studies comparing nonphysician provider-led GDMT initiation and/or uptitration interventions vs usual physician care (PROSPERO ID: CRD42022334661). We queried PubMed, Embase, the Cochrane Library, and the World Health Organization International Clinical Trial Registry Platform for peer-reviewed studies from database inception to July 31, 2022. In the meta-analysis, we used RCT data only and leveraged random-effects models to estimate pooled outcomes. Primary outcomes were GDMT initiation and titration to target dosages by therapeutic class. Secondary outcomes included all-cause mortality and HF hospitalizations.

RESULTS

We reviewed 33 studies, of which 17 (52%) were randomized controlled trials with median follow-ups of 6 months; 14 (82%) trials evaluated nurse interventions, and the remainder assessed pharmacists' interventions. The primary analysis pooled data from 16 RCTs, which enrolled 5268 patients. Pooled risk ratios (RR) for renin-angiotensin system inhibitor (RASI) and beta-blocker initiation were 2.09 (95% CI 1.05-4.16; I2 = 68%) and 1.91 (95% CI1.35-2.70; I2 = 37%), respectively. Outcomes were similar for uptitration of RASI (RR 1.99, 95% CI 1.24-3.20; I2 = 77%) and beta-blocker (RR 2.22, 95% CI 1.29-3.83; I2 = 66%). No association was found with mineralocorticoid receptor antagonist initiation (RR 1.01, 95% CI 0.47-2.19). There were lower rates of mortality (RR 0.82, 95% CI 0.67-1.04; I2 = 12%) and hospitalization due to HF (RR 0.80, 95% CI 0.63-1.01; I2 = 25%) across intervention arms, but these differences were small and not statistically significant. Prediction intervals were wide due to moderate-to-high heterogeneity across trial populations and interventions. Subgroup analyses by provider type did not show significant effect modification.

CONCLUSIONS

Pharmacist- and nurse-led interventions for GDMT initiation and/or uptitration improved guideline concordance. Further research evaluating newer therapies and titration strategies integrated with pharmacist- and/or nurse-based care may be valuable.

Predictors of Incident Heart Failure Diagnosis Setting: Insights From the Veterans Affairs Healthcare System

BACKGROUND

Early recognition of heart failure (HF) can reduce morbidity, yet HF is often diagnosed only after symptoms require urgent treatment.

OBJECTIVES

The authors sought to describe predictors of HF diagnosis in the acute care vs outpatient setting within the Veterans Health Administration (VHA).

METHODS

The authors estimated whether incident HF diagnoses occurred in acute care (inpatient hospital or emergency department) vs outpatient settings within the VHA between 2014 and 2019. After excluding new-onset HF potentially caused by acute concurrent conditions, they identified sociodemographic and clinical variables associated with diagnosis setting and assessed variation across 130 VHA facilities using multivariable regression analysis.

RESULTS

The authors identified 303,632 patients with new HF, with 160,454 (52.8%) diagnosed in acute care settings. In the prior year, 44% had HF symptoms and 11% had a natriuretic peptide tested, 88% of which were elevated. Patients with housing insecurity and high neighborhood social vulnerability had higher odds of acute care diagnosis (adjusted odds ratio: 1.22 [95% CI: 1.17-1.27] and 1.17 [95% CI: 1.14-1.21], respectively) adjusting for medical comorbidities. Better outpatient quality of care (blood pressure control and cholesterol and diabetes monitoring within the prior 2 years) predicted a lower odds of acute care diagnosis. Likelihood of acute care HF diagnosis varied from 41% to 68% across facilities after adjusting for patient-level risk factors.

CONCLUSIONS

Many first HF diagnoses occur in the acute care setting, especially among socioeconomically vulnerable populations. Better outpatient care was associated with lower rates of an acute care diagnosis. These findings highlight opportunities for timelier HF diagnosis that may improve patient outcomes.

Medical therapy for patients with recent-onset heart failure with reduced ejection fraction during the COVID-19 pandemic: Insights from the Veteran's affairs healthcare system

This study aims to evaluate trends in guideline-directed medical therapy (GDMT) for patients with recent-onset heart failure with reduced ejection fraction (HFrEF) following the onset of the COVID-19 pandemic using an interrupted time series analysis in the Veteran's Affairs Healthcare System. Among 71,428 patients with recent-onset HFrEF between 1/1/2018 and 2/28/2021, we found the pandemic was not associated with differences in treatment rates for beta-blockers, renin-angiotensin-aldosterone system inhibitors, or mineralocorticoid receptor antagonists; there was a 2.6 % absolute decrease (95 % CI: 0.5 %-4.7 %) in ARNI rates in April 2020; which decreased over the pandemic. Despite the changes to healthcare delivery, the COVID-19 pandemic was associated with minimal changes in GDMT rates among patients with recent-onset HFrEF.

Gi-protein-coupled β 1-adrenergic receptor: re-understanding the selectivity of β 1-adrenergic receptor to G protein

β ₁-adrenergic receptor (β ₁-AR), a member in the family of G-protein-coupled receptors, is a transmembrane receptor of great significance in the heart. Physiologically, catecholamines activate β ₁-AR to initiate a positive chronotropic, inotropic, and dromotropic change. It is believed that β ₁-AR couples to Gs protein and transmits the signal through second messenger cAMP. However, increasing research shows that β ₁-AR can also bind with Gi protein in addition to Gs. When β ₁-AR-Gi is biasedly activated, cardioprotective effects are introduced by the activated cGMP-protein kinase G (PKG) pathway and the transactivation of epidermal growth factor receptor (EGFR) pathway. The discovery of β ₁-AR-Gi signaling makes us reconsider the selectivity of G protein with regard to β ₁-AR, which also provides new ideas for the treatment of heart diseases. This review summarizes the discovery of β ₁-AR-Gi pathway, including the evidence that supports β ₁-AR's capability to couple Gi, details of the transduction process and functions of the β ₁-AR-Gi signaling pathway.