Examining Lack of Referrals to Heart Valve Specialists as Mechanisms of Potential Underutilization of Aortic Valve Replacement.

BACKGROUND: Recent studies suggest that Aortic Valve Replacement (AVR) remains underutilized. AIMS: Investigate the potential role of non-referral to Heart Valve Specialists (HVS) on AVR utilization. METHODS: Patients with severe aortic stenosis (AS) between 2015 and 2018, who met class I indication for intervention, were identified. Baseline data and process-related parameters were collected to analyze referral predictors and evaluate outcomes. RESULTS: Among 981 patients meeting criteria AVR, 790 patients (80.5%) were assessed by HVS within six months of index TTE. Factors linked to reduced referral included increasing age (OR: 0.95; 95% CI: 0.94 - 0.97; P <0.001), unmarried status (OR: 0.59; 95% CI: 0.43 - 0.83; P =0.002) and inpatient TTE (OR: 0.27; 95% CI: 0.19 - 0.38; P <0.001). Conversely, higher hematocrit (OR: 1.13; 95% CI: 1.09 - 1.16; P <0.001) and eGFR (OR: 1.01; 95% CI: 1.00 - 1.02; P =0.003), mean aortic valve gradient (OR: 1.03; 95% CI: 1.01 - 1.04; P <0.001) and preserved LVEF (OR: 1.59; 95% CI: 1.02 - 2.48; P =0.04), were associated with increased referral likelihood. Moreover, patients assessed by HVS referral as a time-dependent covariate had a significantly lower two-year mortality risk than those who were not (aHR: 0.30; 95% CI: 0.23- 0.39; P < 0.001). CONCLUSION: A substantial proportion of severe AS patients meeting indications for AVR are not evaluated by HVS and experience markedly increased mortality. Further research is warranted to assess the efficacy of care delivery mechanisms, such as e-consults, and telemedicine, to improve access to HVS expertise.

Is Myocardial Infarction Overdiagnosed?

This Viewpoint examines whether overdiagnosis rather than underdiagnosis may now be the dominant form of myocardial infarction misdiagnosis.

Classification Algorithm to Distinguish Between Type 1 and Type 2 Myocardial Infarction in Administrative Claims Data.

BACKGROUND: Type 2 myocardial infarction (T2MI) and type 1 myocardial infarction (T1MI) differ with respect to demographics, comorbidities, treatments, and clinical outcomes. Reliable quality and outcomes assessment depends on the ability to distinguish between T1MI and T2MI in administrative claims data. As such, we aimed to develop a classification algorithm to distinguish between T1MI and T2MI that could be applied to claims data. METHODS: Using data for beneficiaries in a Medicare accountable care organization contract in a large health care system in New England, we examined the distribution of MI diagnosis codes between 2018 to 2021 and the patterns of care and coding for beneficiaries with a hospital discharge diagnosis International Classification of Diseases, Tenth Revision code for T2MI, compared with those for T1MI. We then assessed the probability that each hospitalization was for a T2MI versus T1MI and examined care occurring in 2017 before the introduction of the T2MI code. RESULTS: After application of inclusion and exclusion criteria, 7759 hospitalizations for myocardial infarction remained (46.5% T1MI and 53.5% T2MI; mean age, 79±10.3 years; 47% female). In the classification algorithm, female gender (odds ratio, 1.26 [95% CI, 1.11-1.44]), Black race relative to White race (odds ratio, 2.48 [95% CI, 1.76-3.48]), and diagnoses of COVID-19 (odds ratio, 1.74 [95% CI, 1.11-2.71]) or hypertensive emergency (odds ratio, 1.46 [95% CI, 1.00-2.14]) were associated with higher odds of the hospitalization being for T2MI versus T1MI. When applied to the testing sample, the C-statistic of the full model was 0.83. Comparison of classified T2MI and observed T2MI suggest the possibility of substantial misclassification both before and after the T2MI code. CONCLUSIONS: A simple classification algorithm appears to be able to differentiate between hospitalizations for T1MI and T2MI before and after the T2MI code was introduced. This could facilitate more accurate longitudinal assessments of acute myocardial infarction quality and outcomes.

Building a post-myocardial infarction discharge intervention program for Hispanic patients.

Hispanic patients disproportionally suffer from disparities in care delivery in the setting of acute myocardial infarction (AMI). More specifically, Hispanic patients have higher 30-day readmission rates post-AMI and are less likely to be referred to cardiac rehab. Because of the challenges Hispanic patients face with post-AMI care, the Hispanic Acute Myocardial Infarction Discharge Intervention Study (HAMIDI) was launched to provide a culturally sensitive discharge framework to improve readmission and mortality rates in this population. Patients enrolled in this study participate in a comprehensive post-discharge program involving follow-up with a Spanish-speaking cardiologist, a two-part educational virtual group visit program, and access to support throughout the study. During the initial year of the study, 35 patients enrolled and successfully participated in the program. This case study reviews the implementation process, initial outcomes, challenges, and future plans of the program.

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.

Home Hospital Outcomes for Acute Decompensated Heart Failure and Factors Associated With Escalation of Care.

BACKGROUND: Overall outcomes and the escalation rate for home hospital admissions for heart failure (HF) are not known. We report overall outcomes, predict escalation, and describe care provided after escalation among patients admitted to home hospital for HF. METHODS: Our retrospective analysis included all patients admitted for HF to 2 home hospital programs in Massachusetts between February 2020 and October 2022. Escalation of care was defined as transfer to an inpatient hospital setting (emergency department, inpatient medical unit) for at least 1 overnight stay. Unexpected mortality was defined as mortality excluding those who desired to pass away at home on admission or transitioned to hospice. We performed the least absolute shrinkage and selection operator logistic regression to predict escalation. RESULTS: We included 437 hospitalizations; patients had a median age of 80 (interquartile range, 69-89) years, 58.1% were women, and 64.8% were White. Of the cohort, 29.2% had reduced ejection fraction, 50.9% had chronic kidney disease, and 60.6% had atrial fibrillation. Median admission Get With The Guidelines HF score was 39 (interquartile range, 35-45; 1%-5% predicted inpatient mortality). Escalation occurred in 10.3% of hospitalizations. Thirty-day readmission occurred in 15.1%, 90-day readmission occurred in 33.8%, and 6-month mortality occurred in 11.5%. There was no unexpected mortality during home hospitalization. Patients who experienced escalation had significantly longer median length of stays (19 versus 7.5 days, P<0.001). The most common reason for escalation was progressive renal dysfunction (36.2%). A low mean arterial pressure at the time of admission to home hospital was the most significant predictor of escalation in the least absolute shrinkage and selection operator regression. CONCLUSIONS: About 1 in 10 home hospital patients with HF required escalation; none had unexpected mortality. Patients requiring escalation had longer length of stays. A low mean arterial pressure at the time of admission to home hospital was the most important predictor of escalation of care in the least absolute shrinkage and selection operator logistic regression model.

Ultra-processed foods and incident cardiovascular disease and hypertension in middle-aged women.

PURPOSE: Ultra-processed food (UPF) intake has increased in recent decades, yet limited knowledge of long-term effects on cardiovascular health persists and sex-specific data is scant. We determined the association of UPF intake with incident cardiovascular disease (CVD) and/or hypertension in a population-based cohort of women. METHODS: In the Australian Longitudinal Study on Women's Health, women aged 50-55 years were prospectively followed (2001-2016). UPFs were identified using NOVA classification and contribution of these foods to total dietary intake by weight was estimated. Primary endpoint was incident CVD (self-reported heart disease/stroke). Secondary endpoints were self-reported hypertension, all-cause mortality, type 2 diabetes mellitus, and/or obesity. Logistic regression models assessed associations between UPF intake and incident CVD, adjusting for socio-demographic, medical comorbidities, and dietary variables. RESULTS: We included 10,006 women (mean age 52.5 ± 1.5; mean UPF intake 26.6 ± 10.2% of total dietary intake), with 1038 (10.8%) incident CVD, 471 (4.7%) deaths, and 4204 (43.8%) hypertension cases over 15 years of follow-up. In multivariable-adjusted models, the highest [mean 42.0% total dietary intake] versus the lowest [mean 14.2% total dietary intake] quintile of UPF intake was associated with higher incident hypertension [odds ratio (OR) 1.39, 95% confidence interval (CI) 1.10-1.74; p = 0.005] with a linear trend (ptrend = 0.02), but not incident CVD [OR 1.22, 95% CI 0.92-1.61; p = 0.16] or all-cause mortality (OR 0.80, 95% CI 0.54-1.20; p = 0.28). Similar results were found after multiple imputations for missing values. CONCLUSION: In women, higher UPF intake was associated with increased hypertension, but not incident CVD. These findings may support minimising UPFs within a healthy diet for women.

Coronary Computed Tomographic Angiography With Fractional Flow Reserve in Patients With Type 2 Myocardial Infarction.

BACKGROUND: Type 2 myocardial infarction (T2MI) related to a supply/demand imbalance of coronary blood flow is common and associated with poor prognosis. Coronary artery disease (CAD) may predispose some individuals to T2MI and contribute to its high rate of recurrent cardiovascular events. Little is known about the presence and extent of CAD in this population. OBJECTIVES: The goal of this study was to evaluate the presence and characteristics of CAD among patients with T2MI. METHODS: In this prospective study, consecutive eligible individuals with Fourth Universal Definition of Myocardial Infarction criteria for T2MI were enrolled. Participants underwent coronary computed tomography angiography (CTA), fractional flow reserve derived with coronary CTA (FFRCT), and plaque volume analyses. RESULTS: Among 50 participants, 25 (50%) were female, and the mean age was 68.0 ± 11.4 years. Atherosclerotic risk factors were common. Coronary CTA revealed coronary plaque in 46 participants (92%). A moderate or greater stenosis (≥50%) was identified in 42% of participants, and obstructive disease (≥50% left main stenosis or ≥70% stenosis in any other epicardial coronary artery) was present in 26%. Prevalence of obstructive CAD did not differ according to T2MI cause (P = 0.54). A hemodynamically significant focal stenosis identified by FFRCT was present in 13 participants (26%). Among participants with a stenosis ≥50% (n = 21), FFRCT excluded lesion-specific hemodynamically significant stenosis in 8 cases (38%). CONCLUSIONS: Among individuals with adjudicated T2MI, CAD was prevalent, but the majority of patients had nonobstructive CAD. Mediators of ischemia are likely multifactorial in this population. (Defining the Prevalence and Characteristics of Coronary Artery Disease Among Patients with Type 2 Myocardial Infarction using CT-FFR [DEFINE TYPE 2 MI]; NCT04864119).

Patterns in Physician Burnout in a Stable-Linked Cohort.

Importance: Physician burnout is widely reported to be an increasing problem in the US. Although prior analyses suggest physician burnout is rising nationally, these analyses have substantial limitations, including different physicians joining and leaving clinical practice. Objective: To examine the prevalence of burnout among physicians in a large multispecialty group over a 5-year period. Design, Setting, and Participants: This survey study was conducted in 2017, 2019, and 2021 and involved physician faculty members of the Massachusetts General Physicians Organization. Participants represented different clinical specialties and a full range of career stages. The online survey instrument had 4 domains: physician career and compensation satisfaction, physician well-being, administrative workload on physicians, and leadership and diversity. Exposure: Time. Main Outcomes and Measures: Physician burnout, which was assessed with the Maslach Burnout Inventory. A binary burnout measure was used, which defined burnout as a high score in 2 of the 3 burnout subscales: Exhaustion, Cynicism, and Reduced Personal Efficacy. Results: A total of 1373 physicians (72.9% of the original 2017 cohort) participated in all 3 surveys. The cohort included 690 (50.3%) male, 921 (67.1%) White, and 1189 (86.6%) non-Hispanic individuals. The response rates were 93.0% in 2017, 93.0% in 2019, and 92.0% in 2021. Concerning years of experience, the cohort was relatively well distributed, with the highest number and proportion of physicians (478 [34.8%]) reporting between 11 and 20 years of experience. Within this group, burnout declined from 44.4% (610 physicians) in 2017 to 41.9% (575) in 2019 (P = .18) before increasing to 50.4% (692) in 2021 (P < .001). Conclusions and Relevance: Findings of this survey study suggest that the physician burnout rate in the US is increasing. This pattern represents a potential threat to the ability of the US health care system to care for patients and needs urgent solutions.

Natural Language Processing for the Ascertainment and Phenotyping of Left Ventricular Hypertrophy and Hypertrophic Cardiomyopathy on Echocardiogram Reports.

Extracting and accurately phenotyping electronic health documentation is critical for medical research and clinical care. We sought to develop a highly accurate and open-source natural language processing (NLP) module to ascertain and phenotype left ventricular hypertrophy (LVH) and hypertrophic cardiomyopathy (HCM) diagnoses from echocardiogram reports within a diverse hospital network. After the initial development on 17,250 echocardiogram reports, 700 unique reports from 6 hospitals were randomly selected from data repositories within the Mass General Brigham healthcare system and manually adjudicated by physicians for 10 subtypes of LVH and diagnoses of HCM. Using an open-source NLP system, the module was formally tested on 300 training set reports and validated on 400 reports. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated to assess the discriminative accuracy of the NLP module. The NLP demonstrated robust performance across the 10 LVH subtypes, with the overall sensitivity and specificity exceeding 96%. In addition, the NLP module demonstrated excellent performance in detecting HCM diagnoses, with sensitivity and specificity exceeding 93%. In conclusion, we designed a highly accurate NLP module to determine the presence of LVH and HCM on echocardiogram reports. Our work demonstrates the feasibility and accuracy of NLP to detect diagnoses on imaging reports, even when described in free text. This module has been placed in the public domain to advance research, trial recruitment, and population health management for patients with LVH-associated conditions.

Association between implanted cardioverter-defibrillators and mortality for patients with left ventricular ejection fraction between 30% and 35.

BACKGROUND: Consensus guidelines support the use of implanted cardioverter-defibrillators (ICD) for primary prevention of sudden cardiac death in patients with either non-ischaemic or ischaemic cardiomyopathy with left ventricular ejection fraction (LVEF) ≤35%. However, evidence from trials for efficacy specifically for patients with LVEF near 35% is weak. Past trials are underpowered for this population and future trials are unlikely to be performed. METHODS: Patients with lowest LVEF between 30% and 35% without an ICD prior to the lowest-LVEF echo (defined as 'time zero') were identified by querying echocardiography data from 28 November 2001 to 9 July 2020 at the Massachusetts General Hospital linked to ICD treatment status. To assess the association between ICD and mortality, propensity score matching followed by Cox proportional hazards models considering treatment status as a time-dependent covariate was used. A secondary analysis was performed for LVEF 36%-40%. RESULTS: Initially, 526 440 echocardiograms representing 266 601 unique patients were identified. After inclusion and exclusion criteria were applied, 6109 patients remained for the analytical cohort. In bivariate unadjusted comparisons, patients who received ICDs were substantially more often male (79.8% vs 65.4%, p<0.0001), more often white (87.5% vs 83.7%, p<0.046) and more often had a history of ventricular tachycardia (74.5% vs 19.1%, p<0.0001) and myocardial infarction (56.1% vs 38.2%, p<0.0001). In the propensity matched sample, after accounting for time-dependence, there was no association between ICD and mortality (HR 0.93, 95% CI 0.75 to 1.15, p=0.482). CONCLUSIONS: ICD therapy was not associated with reduced mortality near the conventional LVEF threshold of 35%. Although this treatment design cannot definitively demonstrate lack of efficacy, our results are concordant with available prior trial data. A definitive, well-powered trial is needed to answer the important clinical question of primary prevention ICD efficacy between LVEF 30% and 35%.

Value-Based Payment for Clinicians Treating Cardiovascular Disease: A Policy Statement From the American Heart Association.

Clinician payment is transitioning from fee-for-service to value-based payment, with reimbursement tied to health care quality and cost. However, the overarching goals of value-based payment-to improve health care quality, lower costs, or both-have been largely unmet. This policy statement reviews the current state of value-based payment and provides recommended best practices for future design and implementation. The policy statement is divided into sections that detail different aspects of value-based payment: (1) key program design features (patient population, quality measurement, cost measurement, and risk adjustment), (2) the role of equity during design and evaluation, (3) adjustment of payment, and (4) program implementation and evaluation. Each section introduces the topic, describes important considerations, and lists examples from existing programs. Each section includes recommended best practices for future program design. The policy statement highlights 4 key themes for successful value-based payment. First, programs should carefully weigh the incentives between lowering cost and improving quality of care and ensure that there is adequate focus on quality of care. Second, the expansion of value-based payment should be a tool for improving equity, which is central to quality of care and should be a focal point of program design and evaluation. Third, value-based payment should continue to move away from fee for service toward more flexible funding that allows clinicians to focus resources on the interventions that best help patients. Last, successful programs should find ways to channel clinicians' intrinsic motivation to improve their performance and the care for their patients. These principles should guide the future development of clinician value-based payment models.

A pragmatic clinical trial assessing the effect of a targeted notification and clinical support pathway on the diagnostic evaluation and treatment of individuals with left ventricular hypertrophy (NOTIFY-LVH).

BACKGROUND: Electronic health records contain vast amounts of cardiovascular data, including potential clues suggesting unrecognized conditions. One important example is the identification of left ventricular hypertrophy (LVH) on echocardiography. If the underlying causes are untreated, individuals are at increased risk of developing clinically significant pathology. As the most common cause of LVH, hypertension accounts for more cardiovascular deaths than any other modifiable risk factor. Contemporary healthcare systems have suboptimal mechanisms for detecting and effectively implementing hypertension treatment before downstream consequences develop. Thus, there is an urgent need to validate alternative intervention strategies for individuals with preexisting-but potentially unrecognized-LVH. METHODS: Through a randomized pragmatic trial within a large integrated healthcare system, we will study the impact of a centralized clinical support pathway on the diagnosis and treatment of hypertension and other LVH-associated diseases in individuals with echocardiographic evidence of concentric LVH. Approximately 600 individuals who are not treated for hypertension and who do not have a known cardiomyopathy will be randomized. The intervention will be directed by population health coordinators who will notify longitudinal clinicians and offer to assist with the diagnostic evaluation of LVH. Our hypothesis is that an intervention that alerts clinicians to the presence of LVH will increase the detection and treatment of hypertension and the diagnosis of alternative causes of thickened myocardium. The primary outcome is the initiation of an antihypertensive medication. Secondary outcomes include new hypertension diagnoses and new cardiomyopathy diagnoses. The trial began in March 2023 and outcomes will be assessed 12 months from the start of follow-up. CONCLUSION: The NOTIFY-LVH trial will assess the efficacy of a centralized intervention to improve the detection and treatment of hypertension and LVH-associated diseases. Additionally, it will serve as a proof-of-concept for how to effectively utilize previously collected electronic health data to improve the recognition and management of a broad range of chronic cardiovascular conditions. TRIAL REGISTRATION: NCT05713916.

Medicaid Expansion Under the Affordable Care Act and Association With Cardiac Care: A Systematic Review.

BACKGROUND: The goal of the Affordable Care Act was to improve health outcomes through expanding insurance, including through Medicaid expansion. We systematically reviewed the available literature on the association of Affordable Care Act Medicaid expansion with cardiac outcomes. METHODS: Consistent with Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, we performed systematic searches in PubMed, the Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature using the keywords such as Medicaid expansion and cardiac, cardiovascular, or heart to identify titles published from 1/2014 to 7/2022 that evaluated the association between Medicaid expansion and cardiac outcomes. RESULTS: A total of 30 studies met inclusion and exclusion criteria. Of these, 14 studies (47%) used a difference-in-difference study design and 10 (33%) used a multiple time series design. The median number of postexpansion years evaluated was 2 (range, 0.5-6) and the median number of expansion states included was 23 (range, 1-33). Commonly assessed outcomes included insurance coverage of and utilization of cardiac treatments (25.0%), morbidity/mortality (19.6%), disparities in care (14.3%), and preventive care (41.1%). Medicaid expansion was generally associated with increased insurance coverage, reduction in overall cardiac morbidity/mortality outside of acute care settings, and some increase in screening for and treatment of cardiac comorbidities. CONCLUSIONS: Current literature demonstrates that Medicaid expansion was generally associated with increased insurance coverage of cardiac treatments, improvement in cardiac outcomes outside of acute care settings, and some improvements in cardiac-focused prevention and screening. Conclusions are limited because quasi-experimental comparisons of expansion and nonexpansion states cannot account for unmeasured state-level confounders.

Clinical outcomes associated with type II myocardial infarction caused by bleeding.

BACKGROUND: Type ll myocardial infarction (T2MI) is caused by a mismatch between myocardial oxygen supply and demand. One subset of individuals is T2MI caused by acute hemorrhage. Traditional MI treatments including antiplatelets, anticoagulants, and revascularization can worsen bleeding. We aim to report outcomes of T2MI patients due to bleeding, stratified by treatment approach. METHODS: The MGB Research Patient Data Registry followed by manual physician adjudication was used to identify individuals with T2MI caused by bleeding between 2009 and 2022. We defined 3 treatment groups: (1) invasively managed, (2) pharmacologic, and (3) conservatively managed Clinical parameters and outcomes for 30-day, mortality, rebleeding, and readmission were abstracted compared between the treatment groups. RESULTS: We identified 5,712 individuals coded with acute bleeding, of which 1,017 were coded with T2MI during their admission. After manual physician adjudication, 73 individuals met the criteria for T2MI caused by bleeding. 18 patients were managed invasively, 39 received pharmacologic therapy alone, and 16 were managed conservatively. The invasively managed group experienced lower mortality (P = .021) yet higher readmission (P = .045) than the conservatively managed group. The pharmacologic group also experienced lower mortality (P= .017) yet higher readmission (P = .005) than the conservatively managed group. CONCLUSION: Individuals with T2MI associated with acute hemorrhage are a high-risk population. Patients treated with standard procedures experienced higher readmission but lower mortality than conservatively managed patients. These results raise the possibility of testing ischemia-reduction approaches for such high-risk populations. Future clinical trials are required to validate treatment strategies for T2MI caused by bleeding.