Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.

Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for improving the diagnosis and management of hypertension. AI technologies, including machine learning tools, could alter the way we diagnose and manage hypertension, with potential impacts for improving individual and population health. The development of successful AI tools in public health and health care systems requires diverse types of expertise with collaborative relationships between clinicians, engineers, and data scientists. Unbiased data sources, management, and analyses remain a foundational challenge. From a diagnostic standpoint, machine learning tools may improve the measurement of blood pressure and be useful in the prediction of incident hypertension. To advance the management of hypertension, machine learning tools may be useful to find personalized treatments for patients using analytics to predict response to antihypertension medications and the risk for hypertension-related complications. However, there are real-world implementation challenges to using AI tools in hypertension. Herein, we summarize key findings from a diverse group of stakeholders who participated in a workshop held by the National Heart, Lung, and Blood Institute in March 2023. Workshop participants presented information on communication gaps between clinical medicine, data science, and engineering in health care; novel approaches to estimating BP, hypertension risk, and BP control; and real-world implementation challenges and issues.

Kidney Outcomes Among Medicare Beneficiaries After Hospitalization for Heart Failure.

Importance: Kidney health has received increasing focus as part of comprehensive heart failure (HF) treatment efforts. However, the occurrence of clinically relevant kidney outcomes in contemporary populations with HF has not been well studied. Objective: To examine rates of incident dialysis and acute kidney injury (AKI) among Medicare beneficiaries after HF hospitalization. Design, Setting, and Participants: This retrospective cohort study evaluated adults aged 65 years or older who were hospitalized for HF across 372 sites in the Get With The Guidelines-Heart Failure registry in the US between January 1, 2014, and December 31, 2018. Patients younger than 65 years or requiring dialysis either during or prior to hospitalization were excluded. Data were analyzed from May 4, 2021, to March 8, 2024. Main Outcomes and Measures: The primary outcome was inpatient dialysis initiation in the year after HF hospitalization and was ascertained via linkage with Medicare claims data. Other all-cause and cause-specific hospitalizations were also evaluated. The covariate-adjusted association between discharge estimated glomerular filtration rate (eGFR) and 1-year postdischarge outcomes was examined using Cox proportional hazards regression models. Results: Overall, among 85 298 patients included in the analysis (mean [SD] age, 80 [9] years; 53% women) mean (SD) left ventricular ejection fraction was 47% (16%) and mean (SD) eGFR was 53 (29) mL/min per 1.73 m2; 54 010 (63%) had an eGFR less than 60 mL/min per 1.73 m2. By 1 year after HF hospitalization, 6% had progressed to dialysis, 7% had progressed to dialysis or end-stage kidney disease, and 7% had been readmitted for AKI. Incident dialysis increased steeply with lower discharge eGFR category: compared with patients with an eGFR of 60 mL/min per 1.73 m2 or more, individuals with an eGFR of 45 to less than 60 and of less than 30 mL/min per 1.73 m2 had higher rates of dialysis readmission (45 to <60: adjusted hazard ratio [AHR], 2.16 [95% CI, 1.86-2.51]; <30: AHR, 28.46 [95% CI, 25.25-32.08]). Lower discharge eGFR (per 10 mL/min per 1.73 m2 decrease) was independently associated with a higher rate of readmission for dialysis (AHR, 2.23; 95% CI, 2.14-2.32), dialysis or end-stage kidney disease (AHR, 2.34; 95% CI, 2.24-2.44), and AKI (AHR, 1.25; 95% CI, 1.23-1.27), with similar findings for all-cause mortality, all-cause readmission, and HF readmission. Baseline left ventricular ejection fraction did not modify the covariate-adjusted association between lower discharge eGFR and kidney outcomes. Conclusions and Relevance: In this study, older adults with HF had substantial risk of kidney complications, with an estimated 6% progressing to dialysis in the year after HF hospitalization. These findings emphasize the need for health care approaches prioritizing kidney health in this high-risk population.

Cause-Specific Health Care Costs Following Hospitalization for Heart Failure and Cost Offset With SGLT2i Therapy.

BACKGROUND: Little is known regarding differences in cause-specific costs between heart failure (HF) with ejection fraction (EF) ≤40% vs >40%, and potential cost implications of sodium glucose co-transporter 2 inhibitor (SGLT2i) therapy. OBJECTIVES: This study sought to compare cause-specific health care costs following hospitalization for HF with EF ≤40% vs >40% and estimate the cost offset with implementation of SGLT2i therapy. METHODS: This study examined Medicare beneficiaries hospitalized for HF in the Get With The Guidelines-Heart Failure registry from 2016 to 2020. Mean per-patient total (excluding drug costs) and cause-specific costs from discharge through 1-year follow-up were calculated and compared between EF ≤40% vs >40%. Next, risk reductions on total all-cause and HF hospitalizations were estimated in a trial-level meta-analysis of 5 pivotal trials of SGLT2is in HF. Finally, these relative treatment effects were applied to Medicare beneficiaries eligible for SGLT2i therapy to estimate the projected cost offset with implementation of SGLT2i, excluding drug costs. RESULTS: Among 146,003 patients, 50,598 (34.7%) had EF ≤40% and 95,405 (65.3%) had EF >40%. Mean total cost through 1 year was $40,557. Total costs were similar between EF groups overall but were higher for EF ≤40% among patients surviving the 1-year follow-up period. Patients with EF >40% had higher costs caused by non-HF and noncardiovascular hospitalizations, and skilled nursing facilities (all P < 0.001). Trial-level meta-analysis of the 5 SGLT2i clinical trials estimated 11% (rate ratio: 0.89; 95% CI: 0.84-0.93; P < 0.001) and 29% (rate ratio: 0.71; 95% CI: 0.66-0.76; P < 0.001) relative reductions in rates of total all-cause and HF hospitalizations, respectively, regardless of EF. Reductions in all-cause and HF hospitalizations were projected to reduce annual costs of readmission by $2,451 to $2,668 per patient with EF ≤40% and $1,439 to $2,410 per patient with EF >40%. CONCLUSIONS: In this large cohort of older U.S. adults hospitalized for HF, cause-specific costs of care differed among patients with EF ≤40% vs >40%. SGLT2i significantly reduced the rate of HF and all-cause hospitalizations irrespective of EF in clinical trials, and implementation of SGLT2i therapy in clinical practice is projected to reduce costs by $1,439 to $2,668 per patient over the 1 year post-discharge, excluding drug costs.

Eligibility and Projected Benefits of Rapid Initiation of Quadruple Medical Therapy for Newly Diagnosed Heart Failure.

BACKGROUND: U.S. nationwide estimates of the proportion of patients newly diagnosed with heart failure with reduced ejection fraction (HFrEF) eligible for quadruple medical therapy, and the associated benefits of rapid implementation, are not well characterized. OBJECTIVES: This study sought to characterize the degree to which patients newly diagnosed with HFrEF are eligible for quadruple medical therapy, and the projected benefits of in-hospital initiation. METHODS: Among patients hospitalized for newly diagnosed HFrEF in the Get With The Guidelines-Heart Failure registry from 2016 to 2023, eligibility criteria based on regulatory labeling, guidelines, and expert consensus documents were applied for angiotensin receptor-neprilysin inhibitor, beta-blocker, mineralocorticoid receptor antagonist, and sodium-glucose cotransporter 2 inhibitor therapies. Of those eligible, the projected effect of quadruple therapy on 12-month mortality was modeled using treatment effects from pivotal clinical trials utilized by the AHA/ACC/HFSA Guideline for the Management of Heart Failure, and compared with observed outcomes among patients treated with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blockers. RESULTS: Of 33,036 patients newly diagnosed with HFrEF, 27,158 (82%) were eligible for quadruple therapy, and 30,613 (93%) were eligible for ≥3 components. From 2021 to 2023, of patients eligible for quadruple therapy, 15.3% were prescribed quadruple therapy and 41.5% were prescribed triple therapy. Among Medicare beneficiaries eligible for quadruple therapy, 12-month incidence of mortality was 24.7% and HF hospitalization was 22.2%. Applying the relative risk reductions in clinical trials, complete implementation of quadruple therapy by time of discharge was projected to yield absolute risk reductions in 12-month mortality of 10.4% (number needed to treat = 10) compared with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blocker, and 24.8% (number needed to treat = 4) compared with no GDMT. CONCLUSIONS: In this nationwide U.S. cohort of patients hospitalized for newly diagnosed HFrEF, >4 of 5 patients were projected as eligible for quadruple therapy at discharge; yet, <1 in 6 were prescribed it. If clinical trial benefits can be fully realized, in-hospital initiation of quadruple medical therapy for newly diagnosed HFrEF would yield large absolute reductions in mortality.

Heart Failure Risk Among African-American Women With an ICAM1 Missense Variant.

BACKGROUND: A common genetic variant of ICAM1 among African-American individuals (rs5491; p.K56M) is associated with heart failure (HF) hospitalization, but whether this risk is specific to heart failure with preserved ejection fraction (HFpEF) remains unclear. Older women are at high risk for HFpEF, and the relationship between rs5491 and HFpEF across the age spectrum is unknown. OBJECTIVES: This study assessed risk of HF and its subtypes conferred by ICAM1 p.K56M (rs5491). METHODS: Associations of rs5491 with risk of HF and its subtypes were estimated among African American individuals in WHI (Women's Health Initiative). The study evaluated whether the association between rs5491 and HF hospitalizations was modified by baseline age. Subsequently, African-American women in WHI and MESA (Multi-Ethnic Study of Atherosclerosis) were pooled and analyses were repeated. RESULTS: Among 8,401 women in WHI, the minor allele frequency of rs5491 was 20.7%, and 731 HF hospitalizations occurred over 19.2 years. The rs5491 variant was not associated with HF or its subtypes across WHI. Interaction analyses suggested that age as a continuous variable modified the association of rs5491 with HFpEF hospitalization (interaction P = 0.04). Upon categorizing women into age decades, rs5491 conferred increased risk of HFpEF among women ≥70 years (HR per additional rs5491 allele: 1.82 [95% CI: 1.25-2.65]; P = 0.002) but was not associated with HFpEF risk among women <70 years. Pooling African-American women in WHI (n = 8,401) and MESA (n = 856) demonstrated that the effect modification by age on the association of rs5491 with HFpEF became more significant (interaction P = 0.009), with consistent HFpEF risk effect estimates among women ≥70 years. CONCLUSIONS: ICAM1 p.K56M (rs5491) is associated with HFpEF among African-American women ≥70 years.

Health equity in heart failure.

The treatment of heart failure (HF) with reduced ejection fraction (HFrEF) has substantially developed over the past decades. More than ever before, the application of appropriate evidence-based medical therapy for HFrEF is associated with remarkable improvements in survival, noteworthy increases in quality of life, and a marked reduction in symptomatic HF sufficient to warrant hospitalization. These enhanced clinical outcomes are driven by the "four pillars" of HF therapy: 1) evidence-based beta blockers, 2) Renin-angiotensin-aldosterone system inhibitors (angiotensin-converting enzyme inhibitors /angiotensin II receptor blockers or angiotensin receptor-neprilysin inhibitors, 3) mineralocorticoid receptor antagonists, and most recently, 4) sodium-glucose cotransporter-2 inhibitors. Despite robust evidence from well-conducted randomized clinical trials, guideline-directed medical therapies with established cardiovascular benefits remain significantly underutilized in clinical practice, particularly among under-represented minority populations. This phenomenon has led to class 1 level recommendations from the 2022 American Heart Association/American College of Cardiology/Heart Failure Society of America Guidelines to address HF disparities among vulnerable populations as follows. In this article, we highlight the difference between health equality and health equity and discuss the need to address equity in the treatment of heart failure, ensuring that the impressive progress made in the treatment of HFrEF is equally beneficial to all individuals. We discuss strategies to reduce and ultimately eliminate disparities in the determinants of health that particularly affect marginalized groups, including the socioeconomic determinants and racism as a threat to public health. Finally, we discuss and propose a combination of the four pillars of ethics with the four pillars of GDMT to optimize and personalize treatment of all patients with HFrEF, to achieve true equity in the treatment of HF.

Medical Therapy Before, During and After Hospitalization in Medicare Beneficiaries With Heart Failure and Diabetes: Get With The Guidelines - Heart Failure Registry.

BACKGROUND: Patients hospitalized with heart failure (HF) and diabetes mellitus (DM) are at risk for worsening clinical status. Little is known about the frequency of therapeutic changes during hospitalization. We characterized the use of medical therapies before, during and after hospitalization in patients with HF and DM. METHODS: We identified Medicare beneficiaries in Get With The Guidelines-Heart Failure (GWTG-HF) hospitalized between July 2014 and September 2019 with Part D prescription coverage. We evaluated trends in the use of 7 classes of antihyperglycemic therapies (metformin, sulfonylureas, GLP-1RA, SGLT2-inhibitors, DPP-4 inhibitors, thiazolidinediones, and insulins) and 4 classes of HF therapies (evidence-based ß-blockers, ACEi or ARB, MRA, and ARNI). Medication fills were assessed at 6 and 3 months before hospitalization, at hospital discharge and at 3 months post-discharge. RESULTS: Among 35,165 Medicare beneficiaries, the median age was 77 years, 54% were women, and 76% were white; 11,660 (33%) had HFrEF (LVEF ≤ 40%), 3700 (11%) had HFmrEF (LVEF 41%-49%), and 19,805 (56%) had HFpEF (LVEF ≥ 50%). Overall, insulin was the most commonly prescribed antihyperglycemic after HF hospitalization (n = 12,919, 37%), followed by metformin (n = 7460, 21%) and sulfonylureas (n = 7030, 20%). GLP-1RA (n = 700, 2.0%) and SGLT2i (n = 287, 1.0%) use was low and did not improve over time. In patients with HFrEF, evidence-based beta-blocker, RASi, MRA, and ARNI fills during the 6 months preceding HF hospitalization were 63%, 62%, 19%, and 4%, respectively. Fills initially declined prior to hospitalization, but then rose from 3 months before hospitalization to discharge (beta-blocker: 56%-82%; RASi: 51%-57%, MRA: 15%-28%, ARNI: 3%-6%, triple therapy: 8%-20%; P < 0.01 for all). Prescription rates 3 months after hospitalization were similar to those at hospital discharge. CONCLUSIONS: In-hospital optimization of medical therapy in patients with HF and DM is common in participating hospitals of a large US quality improvement registry.

Bridging Treatment Implementation Gaps in Patients With Heart Failure: JACC Focus Seminar 2/3.

Heart failure (HF) is a leading cause of death and disability in older adults. Despite decades of high-quality evidence to support their use, guideline-directed medical therapies (GDMTs) that reduce death and disease burden in HF have been suboptimally implemented. Approaches to closing care gaps have focused largely on strategies proven to be ineffective, whilst effective interventions shown to improve GDMT uptake have not been instituted. This review synthesizes implementation interventions that increase the uptake of GDMT, discusses barriers and facilitators of implementation, summarizes conceptual frameworks in implementation science that could improve knowledge uptake, and offers suggestions for trial design that could better facilitate end-of-trial implementation. We propose an evidence-to-care conceptual model that could foster the simultaneous generation of evidence and long-term implementation. By adopting principles of implementation science, policymakers, researchers, and clinicians can help reduce the burden of HF on patients and health care systems worldwide.