Pragmatic Trial of Messaging to Providers About Treatment of Hyperlipidemia (PROMPT-LIPID): A Randomized Clinical Trial.

BACKGROUND: Lipid-lowering therapy (LLT) is underutilized for very high-risk atherosclerotic cardiovascular disease. PROMPT-LIPID (PRagmatic Trial of Messaging to Providers about Treatment of HyperLIPIDemia) sought to determine whether electronic health record (EHR) alerts improve 90-day LLT intensification in patients with very high-risk atherosclerotic cardiovascular disease. METHODS: PROMPT-LIPID was a pragmatic trial in which cardiovascular and internal medicine clinicians within Yale New Haven Health (New Haven, CT) were cluster-randomized to receive an EHR alert with individualized LLT recommendations or no alert for outpatients with very high-risk atherosclerotic cardiovascular disease and LDL-C (low-density lipoprotein cholesterol), ≥70 mg/dL. The primary outcome was 90-day LLT intensification (change to high-intensity statin and addition of ezetimibe or PCSK9i [proprotein subtilisin/kexin type 9 inhibitors]). Secondary outcomes included LDL-C level, proportion of patients with LDL-C of <70 or < 55 mg/dL, rate of major adverse cardiovascular events, ED visit incidence, and 6-month mortality. Results were analyzed using logistic and linear regression clustered at the provider level. RESULTS: The no-alert group included 47 clinicians and 1370 patients (median age, 71 years; 50.1% female, median LDL-C, 93 mg/dL); the alert group included 49 clinicians and 1130 patients (median age, 72 years; 47% female, median LDL-C 91, mg/dL). The primary outcome was observed in 14.1% of patients in the alert group as compared with 10.4% in the no-alert group. There were no differences in any secondary outcomes at 6 months. Among 542 patients whose clinicians (n=46) did not dismiss the EHR alert recommendations, LLT intensification was significantly greater (21.2% versus 10.4%, odds ratio, 2.33 [95% CI, 1.48-3.66]). CONCLUSIONS: With a real-time, targeted, individualized EHR alert as compared with usual care, the proportion of patients with atherosclerotic cardiovascular disease with LLT intensification was numerically higher but not statistically significant. Among clinicians who did not dismiss the alert, there was a > 2-fold increase in LLT intensification. EHR alerts, coupled with strategies to reduce clinician dismissal, may help address persistent gaps in LDL-C management. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04394715, https://www.clinicaltrials.gov/ct2/show/study/NCT04394715.

Epidemiology and risk factors for hyperkalaemia in heart failure.

Patients with heart failure (HF), particularly those with impaired renal function receiving renin-angiotensin-aldosterone system inhibitors (RAASis), are at risk of hyperkalaemia; when hyperkalaemia is severe, this can have serious clinical consequences. The incidence, prevalence, and risk factors for hyperkalaemia reported in randomized trials of RAASis may not reflect clinical practice due to exclusion of patients with elevated serum potassium (sK+ ) or severe renal impairment: information on patients managed in routine clinical care is important to understanding the actual burden of hyperkalaemia. This paper reviews the available clinical epidemiology data on hyperkalaemia in HF and considers areas requiring further research. Observational studies published since 2017 that focused on hyperkalaemia, included patients with HF, and had ≥1000 participants were considered. Hyperkalaemia occurrence in HF varied widely from 7% to 39% depending on the setting, HF severity, follow-up length, and concomitant medications. Rates were lowest in patients with newly diagnosed HF and highest in patients with greater disease severity; comorbidities, such as chronic kidney disease and diabetes, and RAASi use, reflected commonly identified risk factors for hyperkalaemia in patients with HF. Hyperkalaemia was most often mild; however, from the limited data available, persistence of mild hyperkalaemia was associated with an increased risk of mortality and major adverse cardiovascular events. There were also limited data available on the progression of hyperkalaemia. Recurrence was common, occurring in one-quarter to two-fifths of hyperkalaemia cases. Despite HF guidelines recommending close monitoring of sK+ , 55-93% of patients did not receive appropriate testing before or after initiation of RAASi or in follow-up to moderate/severe hyperkalaemia detection. Many of the observational studies were retrospective and from a single country. There is a need for international, prospective, longitudinal, observational studies, such as the CARE-HK in HF study (NCT04864795), to understand hyperkalaemia's prevalence, incidence, and severity; to identify and characterize cases that persist, progress, and recur; to highlight the importance of sK+ monitoring when using RAASi; and to assess the impact of newer HF therapies and potassium binders in clinical practice. Data from both clinical trials and observational studies with adjustments for confounding variables will be needed to assess the contribution of hyperkalaemia to clinical outcomes.

Implications of Atrial Fibrillation for Guideline-Directed Therapy in Patients With Heart Failure: JACC State-of-the-Art Review.

Atrial fibrillation (AF) and heart failure (HF) are common cardiovascular conditions that frequently coexist. Among patients with HF, more than one-half also have AF. Both are associated with significant morbidity and mortality. Moreover, the prevalence of each is increasing globally, and this trend is expected to continue owing to an aging population and increased life expectancy. Diagnosis of AF in a patient with HF is associated with greater symptom burden, more frequent hospitalizations, and a worse prognosis. Guideline-directed medical therapy (GDMT) for HF can affect the incidence of AF. Once present, AF can influence the efficacy of some components of GDMT for HF. In this review, we discuss the effect of GDMT for HF across the spectrum of ejection fraction on prevention of AF as well as the benefit of GDMT in patients with vs without AF.

Approval, Evidence, and "Off-Label" Device Utilization: The Patent Foramen Ovale Closure Story.

BACKGROUND: Following regulatory approval, medical devices may be used "off-label." Patent foramen ovale (PFO) closure is indicated to reduce recurrent stroke but has been proposed for other indications, including migraine, transient ischemic attack, and diving decompression illness. We sought to evaluate PFO closure rates and indications relative to the timing of regulatory approval and publication of key randomized trials. METHODS: We performed a retrospective cohort study using the OptumLabs Data Warehouse of US commercial insurance enrollees from 2006 to 2019. We quantified PFO closure among individuals with ≥2 years of preprocedure coverage to establish indications, classified hierarchically as stroke/systemic embolism, migraine, transient ischemia attack, or other. RESULTS: We identified 5315 patients undergoing PFO closure (51.8% female, 29.2%≥60 years old), which increased from 4.75 per 100 000 person-years in 2006 to 6.60 per 100 000 person-years in 2019. Patients aged ≥60 years accounted for 29.2% of closures. Procedure volumes corresponded weakly with supportive clinical publications and device approval. Among patients with PFO closure, 58.6% underwent closure for stroke/systemic embolism, 10.2% for transient ischemia attack, 8.8% for migraine, and 22.4% for other indications; 17.6% of patients had atrial fibrillation at baseline; and 11.9% developed atrial fibrillation postprocedure. Those aged ≥60 years and male were less likely to undergo closure for migraine than stroke/systemic embolism. CONCLUSIONS: From 2006 to 2019, PFO closure use was consistently low and corresponded weakly with clinical trial publications and regulatory status. Nearly half of patients underwent PFO closure for indications unapproved by the Food and Drug Administration. Regulators and payers should coordinate mechanisms to promote utilization for approved indications to ensure patient safety and should facilitate clinical trials for other possible indications.

Bundled Payments for Care Improvement and Quality of Care and Outcomes in Heart Failure.

Importance: The Centers for Medicare & Medicaid Services (CMS) Bundled Payments for Care Improvement (BPCI) program was launched in 2013 with a goal to improve care quality while lowering costs to Medicare. Objective: To compare changes in the quality and outcomes of care for patients hospitalized with heart failure according to hospital participation in the BPCI program. Design, Setting, and Participants: This cross-sectional study used a difference-in-difference approach to evaluate the BPCI program in 18 BPCI hospitals vs 211 same-state non-BPCI hospitals for various process-of-care measures and outcomes using American Heart Association Get With The Guidelines-Heart Failure registry and CMS Medicare claims data from November 1, 2008, to August 31, 2018. Data were analyzed from May 2022 to May 2023. Exposures: Hospital participation in CMS BPCI Model 2 Heart Failure, which paid hospitals in a fee-for-service process and then shared savings or required reimbursement depending on how the total cost of an episode of care compared with a target price. Main Outcomes and Measures: Primary end points included 7 quality-of-care measures. Secondary end points included 9 outcome measures, including in-hospital mortality and hospital-level risk-adjusted 30-day and 90-day all-cause readmission rate and mortality rate. Results: During the study period, 8721 patients were hospitalized in the 23 BPCI hospitals and 94 530 patients were hospitalized in the 224 same-state non-BPCI hospitals. Less than a third of patients (30 723 patients, 29.8%) were 75 years or younger; 54 629 (52.9%) were female, and 48 622 (47.1%) were male. Hospital participation in BPCI Model 2 was not associated with significant differential changes in the odds of various process-of-care measures, except for a decreased odds of evidence-based ß-blocker at discharge (adjusted odds ratio [aOR], 0.63; 95% CI, 0.41-0.98; P = .04). Participation in the BPCI was not associated with a significant differential change in the odds of receiving angiotensin-converting enzyme inhibitors/angiotensin receptor blockers or angiotensin receptor-neprilysin inhibitors at discharge, receiving an aldosterone antagonist at discharge, having a cardiac resynchronization therapy (CRT)-defibrillator or CRT pacemaker placed or prescribed at discharge, having implantable cardioverter-defibrillator (ICD) counseling or an ICD placed or prescribed at discharge, heart failure education being provided among eligible patients, or having a follow-up visit within 7 days or less. Participation in the BPCI was associated with a significant decrease in odds of in-hospital mortality (aOR, 0.67; 95% CI, 0.51-0.86; P = .002). Participation was not associated with a significant differential change in hospital-level risk-adjusted 30-day or 90-day all-cause readmission rate and 30-day or 90-day all-cause mortality rate. Conclusion and Relevance: In this study, hospital participation in the BPCI Model 2 Heart Failure program was not associated with improvement in process-of-care quality measures or 30-day or 90-day risk-adjusted all-cause mortality and readmission rates.

Rationale, Design, and Patient Characteristics of a Cluster-Randomized Pragmatic Trial to Improve Mineralocorticoid Antagonist Use.

BACKGROUND: Despite robust evidence and strong guideline recommendations supporting use of mineralocorticoid receptor antagonists (MRAs) to improve outcomes in patients with heart failure with reduced ejection fraction (HFrEF), these medications remain underused in clinical practice. OBJECTIVES: The goal is to determine if providing a tailored best practice alert (BPA) to outpatient providers suggesting guideline-recommended MRAs or information about available hyperkalemia treatment, if present, for patients with HFrEF will increase short-term MRA prescriptions. METHODS: PROMPT-MRA (Pragmatic Trial of Messaging to Providers About Treatment With Mineralocorticoid Receptor Antagonists) is a pragmatic, cluster-randomized, controlled study. A total of 119 providers were randomized to receive a BPA or usual care. During an outpatient visit with participating providers, the BPA displayed recent laboratory test values and ejection fraction. The alert suggested guideline-recommended MRAs for eligible patients with a serum potassium of <5.0 mEq/L or novel potassium binders for those with a serum potassium of ≥5.0 mEq/L, each linked to an order set containing the corresponding medication and laboratory monitoring. RESULTS: PROMPT-MRA completed enrollment with 1,210 patients. The primary outcome of PROMPT-MRA is to determine if a tailored BPA for outpatients with HFrEF will lead to higher MRA prescriptions 6 months following randomization compared with usual care. Secondary outcomes included incidence of hyperkalemia, use of novel potassium binders, heart failure hospitalizations, and mortality. CONCLUSIONS: If effective, the BPA can be scaled to improve population health outcomes with increased MRA prescribing among eligible patients with HFrEF, with or without a history of hyperkalemia. (Pragmatic Trial of Alerts for Use of Mineralocorticoid Receptor Antagonists [PROMPT-MRA]; NCT04903717).

Impact of Digital Health Technology on Quality of Life in Patients With Heart Failure.

BACKGROUND: Digital health tools may improve quality of life (QoL) in patients with heart failure (HF) by promoting self-care, knowledge, and engagement. OBJECTIVES: This study evaluates the effect of 3 digital technologies on QoL in patients with HF. METHODS: A total of 182 patients were randomized to usual care or one of the technologies promoting self-care: Bodyport (cardiac scale), Conversa (conversational platform), or Noom (smartphone application). The primary outcome was 90-day change in QoL, as assessed by the Kansas City Cardiomyopathy Questionnaire (KCCQ) Overall Summary Score (OSS). RESULTS: A total of 151 participants (83%) completed their 90-day surveys. The median age of enrolled participants was 61 years (IQR: 53-69 years), and 37.9% were women. No group had any significant change in KCCQ OSS or improvement relative to usual care. However, symptoms and physical function at 90 days, as assessed by the Total Symptom Score (TSS) and Clinical Summary Score (CSS), were significantly improved in the Noom group relative to usual care: TSS median change of +4.2 points (IQR -1 to +16.7) vs -1 points (IQR: -13.5 to +7.8; P = 0.006); CSS median change of +2.8 points (IQR: -1 to +14.6) vs -3.1 points (IQR: -10.2 to +3; P = 0.002). CONCLUSIONS: Three digital interventions showed no independent effect on QoL as assessed by the KCCQ OSS. However, participants randomized to the Noom technology demonstrated improved KCCQ TSS and CSS relative to usual care. Although digital tools may be an important component of longitudinal care for patients with HF, larger studies are needed to better understand their effectiveness and optimal deployment. (Evaluating Efficacy of Digital Health Technology in the Treatment of Congestive Heart Failure; NCT04394754).

Prognostic Impact of Repeated NT-proBNP Measurements in Patients With Heart Failure With Reduced Ejection Fraction.

BACKGROUND: Although clinical studies have demonstrated the association between a single N-terminal pro-B-type natriuretic peptide (NT-proBNP) measurement and clinical outcomes in chronic heart failure, the biomarker is frequently measured serially in clinical practice. OBJECTIVES: The aim of this study was to determine the added prognostic value of repeated NT-proBNP measurements compared with single measurements alone for chronic heart failure patients. METHODS: In the GUIDE-IT (Guiding Evidence Based Therapy Using Biomarker Intensified Treatment in Heart Failure) study, 894 study participants with chronic heart failure with reduced ejection fraction were enrolled at 45 outpatient sites in the United States and Canada. Repeated NT-proBNP levels were measured over a 2-year study period. Associations between repeated NT-proBNP measurements and trial endpoints were assessed using a joint longitudinal and survival model. RESULTS: After adjustment for baseline covariates, each doubling of the baseline NT-proBNP level was associated with a HR of 1.17 (95% CI: 1.08-1.28; P = 0.0003) for the primary trial endpoint of cardiovascular death or heart failure hospitalization. Serial measurements increased the adjusted HR for the primary trial endpoint to 1.66 (95% CI: 1.50-1.84; P < 0.0001), and a similar increased risk was observed across secondary trial endpoints. In joint modeling, an increase in NT-proBNP occurred weeks before the onset of adjudicated events. CONCLUSIONS: Repeated NT-proBNP measurements are a strong predictor of outcomes in heart failure with reduced ejection fraction with an increase in concentration occurring well before event onset. These results may support routine NT-proBNP monitoring to assist in clinical decision making. (Guiding Evidence Based Therapy Using Biomarker Intensified Treatment in Heart Failure [GUIDE-IT]; NCT01685840).

Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation.

Observational medical data present unique opportunities for analysis of medical outcomes and treatment decision making. However, because these datasets do not contain the strict pairing of randomized control trials, matching techniques are to draw comparisons among patients. A key limitation to such techniques is verification that the variables used to model treatment decision making are also relevant in identifying the risk of major adverse events. This article explores a deep mixture of experts approach to jointly learn how to match patients and model the risk of major adverse events in patients. Although trained with information regarding treatment and outcomes, after training, the proposed model is decomposable into a network that clusters patients into phenotypes from information available before treatment. This model is validated on a dataset of patients with acute myocardial infarction complicated by cardiogenic shock. The mixture of experts approach can predict the outcome of mortality with an area under the receiver operating characteristic curve of 0.85 ± 0.01 while jointly discovering five potential phenotypes of interest. The technique and interpretation allow for identifying clinically relevant phenotypes that may be used both for outcomes modeling as well as potentially evaluating individualized treatment effects.

Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions.

Artificial intelligence, computational simulations, and extended reality, among other 21st century computational technologies, are changing the health care system. To collectively highlight the most recent advances and benefits of artificial intelligence, computational simulations, and extended reality in cardiovascular therapies, we coined the abbreviation AISER. The review particularly focuses on the following applications of AISER: 1) preprocedural planning and clinical decision making; 2) virtual clinical trials, and cardiovascular device research, development, and regulatory approval; and 3) education and training of interventional health care professionals and medical technology innovators. We also discuss the obstacles and constraints associated with the application of AISER technologies, as well as the proposed solutions. Interventional health care professionals, computer scientists, biomedical engineers, experts in bioinformatics and visualization, the device industry, ethics committees, and regulatory agencies are expected to streamline the use of AISER technologies in cardiovascular interventions and medicine in general.

ACC/AHA Hypertension Guidelines and CHA2DS2-VASc Up-Scoring in Patients With Atrial Fibrillation.

This cohort study compares rates of hypertension among nonhypertensive patients with atrial fibrillation using JNC 8 vs ACC/AHA thresholds.

Defining a path toward improved heart failure care.

Defining a path toward improved heart failure (HF) care is essential, as there is a clear need to improve HF treatment quality, outcomes, and value. This article reviews potential strategies to help improve the quality of HF clinical care and decrease costs. To start, HF phenotyping may be useful in guiding patient treatment, as some phenotypes are associated with higher hospitalization costs and longer length of stay. Identifying and addressing social determinants of health that may be barriers to optimal health may improve management of HF and help to prevent disease progression. In addition, patient-reported outcomes can be useful for evaluating the effectiveness of treatment regimens and assessing which treatments lead to a genuine improvement in quality of life (QOL). Recent innovations in payment reform have seen the implementation of value-based payment (VBP) models over the traditional fee-for-service (FFS) models. FFS models can lead to low-quality care focused on treating illness instead of supporting wellness initiatives. By contrast, VBP models aim to decrease excessive health care costs, thereby increasing incentives to hospitals that deliver high-quality patient care. Further, novel care delivery approaches, such as hospital-at-home and other digital tools, can provide patients with lower-cost care and are associated with improved QOL, including reductions in hospital readmission.

Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure.

PURPOSE: A majority of clinical decisions use the electronic health record (EHR) and there is an unmet need to use its capability to help providers to make evidence-based decisions that improve care for heart failure patients. These electronic nudges are rooted in the human psychology of decision-making and often target specific cognitive biases. This review outlines the development of novel EHR nudges and specific lessons learned from each experience to inform the development of future interventions. RECENT FINDINGS: There have been several randomized clinical trials examining the impact of EHR alerts on quality of care for heart failure patients. These interventions have targeted both clinicians and patients. There are features of each trial that inform best practices and future directions for EHR nudges. Recent clinical trials have demonstrated that some EHR alerts can improve care for heart failure patients. These trials utilized default options, involved clinicians in the alert design process, provided actionable recommendations, and aimed to minimize disruptions to typical workflow. Alerts aimed at improving care should be examined in a randomized fashion in order to evaluate their impact on clinician satisfaction and patient care.

Healthcare Market-Level and Hospital-Level Disparities in Access to and Utilization of High-Quality Hip and Knee Replacement Hospitals Among Medicare Beneficiaries.

INTRODUCTION: This study aimed to determine whether healthcare markets with higher social vulnerability have lower access to high-quality hip and knee replacement hospitals and whether hospitals that serve a higher percentage of low-income patients are less likely to be designated as high-quality. METHODS: This cross-sectional study used 2021 Centers for Medicare and Medicaid Services outcome measures and 2022 Joint Commission (JC) process-of-care measures to identify hospitals performing high-quality hip and knee replacement. A total of 2,682 hospitals and 304 healthcare markets were included. For the market-level analysis, we assessed the association of social vulnerability with the presence of a high-quality hip and knee replacement center. For the hospital-level analysis, we assessed the association of disproportionate share hospital (DSH) percentage with each high-quality designation. Healthcare markets were approximated by hospital referral regions. All associations were assessed with fractional regressions using generalized linear models with binomial family and logit links. RESULTS: We found that healthcare markets in the most vulnerable quartile were less likely to have a hip and knee replacement hospital that did better than the national average (odds ratio [OR] 0.22, P = 0.02) but not more or less likely to have a hospital certified as advanced by JC (OR 0.41, P = 0.16). We found that hip and knee replacement hospitals in the highest DSH quartile were less likely to be designated by the Centers for Medicare and Medicaid Services as better than the national average (OR 0.18, P = 0.001) but not more or less likely to be certified as advanced by JC (OR 1.40, P = 0.28). DISCUSSION: Geographic distribution of high-quality hospitals may contribute to socioeconomic disparities in patients' access to and utilization of high-quality hip and knee replacement. Equal access to and utilization of hospitals with high-quality surgical processes does not necessarily indicate equitable access to and utilization of hospitals with high-quality outcomes. LEVEL OF EVIDENCE: Level III.

Translating Evidence-based Approaches into optimal Care for individuals at High-risk of ASCVD: Pilot testing of case-based e-learning modules and design of the TEACH-ASCVD study.

BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of death in the United States. Case-based learning using electronic delivery of the modules can educate clinicians and improve translation of evidence-based guidelines into practice for high-risk ASCVD patients. OBJECTIVE: To develop and optimize module design, content, and usability of e-learning modules to teach clinicians evidence-based management in accordance with multi-society guidelines for high-risk ASCVD patients that will be implemented and evaluated in U.S. health systems in the TEACH-ASCVD study. METHODS: Seven e-learning modules were created by a committee of lipid experts. Focus groups were conducted with lipid experts to elicit feedback on case content followed by interviews with a target audience of clinicians to assess usability of the online module platform. Responses from both groups were evaluated, and appropriate changes were made to improve the e-learning modules. Design of the TEACH-ASCVD study is presented. RESULTS: Feedback regarding case content by lipid experts included providing more detailed patient histories, clarifying various diagnostic criteria, and emphasizing clinical best practices based on evidence-based guidelines. The target audience clinician group reported an agreeable experience with the e-learning modules but noted a discordance between the evidence-based guidelines and clinical decision-making in their own practices. Participants felt the modules would help educate clinicians in managing high-risk ASCVD patients. CONCLUSION: Clinicians must be informed of best practices as the field of lipidology continues to evolve. E-learning modules provide a concise, valuable, and accessible mechanism for educating clinicians regarding changes in the field to deliver the best patient care.

Practical solutions for implementation of blood cholesterol guidelines in clinical practice.

Underutilization of lipid-lowering therapy (LLT) and failure to attain guideline-recommended low-density lipoprotein cholesterol (LDL-C) goals are important quality gaps in cardiovascular risk optimization, especially among patients with atherosclerotic cardiovascular disease (ASCVD). Large database analyses demonstrate an unmet need for improved LDL-C measurement, and that nearly 75% of patients with ASCVD have an LDL-C level above guideline-recommended levels, and greater than 50% are not treated with statins or ezetimibe. Proposed solutions for overcoming these obstacles to optimal lipid management include provider- and patient-facing educational interventions, health information technology strategies, implementation of incentive-based care, advocacy efforts, and systems-based process innovations. While individual interventions may not be enough to overcome the totality of barriers to optimal LLT, comprehensive multifaceted approaches that address barriers at the provider, patient, and healthcare delivery level are likely to offer the greatest likelihood of success and improved patient outcomes.

Electronic health record alerts for management of heart failure with reduced ejection fraction in hospitalized patients: the PROMPT-AHF trial.

BACKGROUND AND AIMS: Patients hospitalized for acute heart failure (AHF) continue to be discharged on an inadequate number of guideline-directed medical therapies (GDMT) despite evidence that inpatient initiation is beneficial. This study aimed to examine whether a tailored electronic health record (EHR) alert increased rates of GDMT prescription at discharge in eligible patients hospitalized for AHF. METHODS: Pragmatic trial of messaging to providers about treatment of acute heart failure (PROMPT-AHF) was a pragmatic, multicenter, EHR-based, and randomized clinical trial. Patients were automatically enrolled 48 h after admission if they met pre-specified criteria for an AHF hospitalization. Providers of patients in the intervention arm received an alert during order entry with relevant patient characteristics along with individualized GDMT recommendations with links to an order set. The primary outcome was an increase in the number of GDMT prescriptions at discharge. RESULTS: Thousand and twelve patients were enrolled between May 2021 and November 2022. The median age was 74 years; 26% were female, and 24% were Black. At the time of the alert, 85% of patients were on ß-blockers, 55% on angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, 20% on mineralocorticoid receptor antagonist (MRA) and 17% on sodium-glucose cotransporter 2 inhibitor. The primary outcome occurred in 34% of both the alert and no alert groups [adjusted risk ratio (RR): 0.95 (0.81, 1.12), P = .99]. Patients randomized to the alert arm were more likely to have an increase in MRA [adjusted RR: 1.54 (1.10, 2.16), P = .01]. At the time of discharge, 11.2% of patients were on all four pillars of GDMT. CONCLUSIONS: A real-time, targeted, and tailored EHR-based alert system for AHF did not lead to a higher number of overall GDMT prescriptions at discharge. Further refinement and improvement of such alerts and changes to clinician incentives are needed to overcome barriers to the implementation of GDMT during hospitalizations for AHF. GDMT remains suboptimal in this setting, with only one in nine patients being discharged on a comprehensive evidence-based regimen for heart failure.

Frequency and clinicoeconomic impact of delays to definitive diagnosis of obstructive hypertrophic cardiomyopathy in the United States.

AIMS: The diagnostic history in the years leading up to the definitive diagnosis of patients with obstructive hypertrophic cardiomyopathy (HCM) has not been studied. METHODS: Patients with a delay in the definitive diagnosis of obstructive HCM from January 2009 to March 2019 were identified in the US IBM MarketScan Commercial and Medicare Supplemental Databases if they had an alternative diagnosis indicating a misdiagnosis during the 24 months before the definitive obstructive HCM diagnosis. Resource use and costs associated with the delay were estimated during the same period. RESULTS: Of 3,888 eligible patients with obstructive HCM, 59.5% had a delay in definitive diagnosis. Patients received a mean of 4.0 misdiagnoses before the definitive obstructive HCM diagnosis, most of which were other cardiovascular conditions. Consequently, 15.7% of patients may have received inappropriate treatment. Approximately 78.4% of patients visited a cardiologist (mean 4.7 visits) before the definitive obstructive HCM diagnosis. Additionally, 26.8% and 32.1% of patients had an inpatient and emergency room visit, respectively. Annualized healthcare costs associated with the delay were $4,379 per patient. LIMITATIONS: The current study used administrative claims data for a commercially insured population. Therefore, the results may not be generalizable to other populations (e.g. those insured by Medicare or Medicaid and the uninsured). Like other database studies, the current study may have suffered from miscoding or undercoding, which may have caused misclassification of patients. Owing to insufficient data, the study could not evaluate all potential consequences of a delay in definitive diagnosis. CONCLUSIONS: Most patients with obstructive HCM had a delay of ≤ 2 years before receiving the definitive diagnosis. The diagnostic journey involved multiple potential misdiagnoses, predominantly cardiovascular, as well as a substantial clinical and economic burden on patients and the healthcare system.