Diagnosis of Gout as a Correlative Risk for Acute Myocardial Infarction in the Absence of Traditional Cardiovascular Risk Factors.

OBJECTIVES: We aimed to study the impact of gout as a correlative risk factor in the incidence of acute myocardial infarction (AMI) among patients without known MI risk factors. Our study population was obtained from the National Inpatient Sample (NIS) 2011-2018 using the International Classification of Diseases, Ninth and Tenth Revisions. METHODS: This study included patients without cardiovascular disease (CVD), and various outcomes were compared among patients with and without gout. Cohorts were weighted using an algorithm provided by the NIS, which allows for national estimates. Our primary endpoint was the odds of developing an MI, and secondary endpoints were adverse hospital events and length of stay. In total, 117,261,842 patients without CVD risk factors were included in this study, 187,619 (0.16%) of whom had a diagnosis of gout. RESULTS: Patients without CVD risk factors who had gout were older and more likely to be male compared with patients without gout. Among patients without CVD risk factors, the odds of having an AMI were significantly higher in those with gout compared with those without, even after adjusting for chronic nonsteroidal anti-inflammatory drug and oral steroid use. Moreover, patients without CVD risk factors and with gout were more likely to develop acute renal failure, acute thromboembolic event, shock, acute gastrointestinal bleed, and arrhythmia compared with those without gout. Furthermore, patients without CVD risk factors who were admitted with gout had higher mortality compared with those without gout. CONCLUSIONS: In our study, we found that patients without risk factors for AMI who had gout were more likely to develop AMI compared with those without gout. Furthermore, the same patients were more likely to develop other adverse outcomes. Even with proper management, these individuals should be monitored closely for coronary events.

Real-World Evaluation of a Chest Pain Digital Triage Platform at the Point of Care.

OBJECTIVES: The triple aim of population health focuses on providing the right care to the right patient at the right time. Patient use of digital health tools may reduce the overuse of emergency services. We tested the safety and clinical applicability of a patient-facing, automated digital urgent care triage tool (UCTT) for patients with chest pain. METHODS: The automated digital health UCTT (IVisitMD, Roslyn, NY) uses evidence-based algorithms to curate on-demand patient access to physicians, health facilities, and emergency departments (EDs). A retrospective observational study was performed on patients who presented to the ED before the coronavirus disease 2019 pandemic with the complaint of chest pain. We evaluated 1372 patients who presented to the ED for chest pain; 383 patients met the criteria for the final diagnostic-related group (DRG) that reflected acute coronary syndrome. In total, 109 patients who had electronic records documenting all of the components of clinical history, medical decision making, and patient disposition were assigned to the study. Two physicians not involved in patient care independently reviewed records and determined whether the ED visit was warranted (ED+) or not (ED-), which was then compared with the UCTT recommendation. RESULTS: Most patients had coronary artery disease or cardiac risk factors. Cardiac DRGs were observed in 84.3% of participants; 86 patients had no high-risk DRG, with ED- 9.7% by UCTT, and 19.8% by a medical doctor (MD) (P < 0.05). The high-risk DRG patients had an acute infarction, stroke, or pulmonary embolism. Twenty-three patients with a high-risk DRG were 100% ED+ by the UCTT and MD. The estimated savings, assuming the average cost of an emergency evaluation for chest pain is $7000/patient, were $70,000 with UCTT per 100 patient visits. CONCLUSIONS: No high-risk conditions were missed by the UCTT. Our UCTT was more conservative than MD decision making, providing a sizable safety margin and adequate patient triage.

Inclusion of Under-Represented Racial and Ethnic Groups in Cardiovascular Clinical Trials.

INTRODUCTION: Non-White racial and ethnic groups have been traditionally under-represented for decades in the field of cardiology, specifically in cardiovascular research studies. This underrepresentation has occurred despite the fact that these racial and ethnic groups have been shown to be at increased risk of cardiovascular disease (CVD). METHODS: To assess the trend of representation in mainstream landmark cardiovascular trials, we performed a review of major cardiovascular trials published between 1986 and 2019. Mainstream landmark trials were selected as classified by established cardiology standards. The reported numbers of racial and ethnic participants were assessed within these categorised cardiovascular trials over a continuous time period. RESULTS: A total of 1,138,683 patients were assessed from 153 randomised clinical trials. Of these trials, only 56% (n=86) reported information about race. Of note, 99% (n=152) of these trials reported gender. About three-quarters of the trials (77%) were undertaken at least partly in the United States (US). Our results show that the percentage of non-White participants in clinical trials was not significantly different over time (p=0.85), suggesting no significant improvement in non-White racial/ethnic representation. Further analysis of only the US inclusive trials (n=20) also showed no significant improvement in representation (p=0.38). CONCLUSION: Only about half of all major cardiovascular landmark trials reported any racial or ethnic information, despite more recent calls over the last 5-10 years for diversity and representation in cardiovascular research studies. Additionally, no significant improvement in inclusion of traditionally under-represented racial and ethnic groups (UREGs) in these trials has occurred over time. Our analysis shows that there is still major work to be done to foster better representation and evaluation of the UREG population in cardiovascular trials.

Adapting a home telemonitoring intervention for underserved Hispanic/Latino patients with type 2 diabetes: an acceptability and feasibility study.

BACKGROUND: Home telemonitoring is a promising approach to optimizing outcomes for patients with Type 2 Diabetes; however, this care strategy has not been adapted for use with understudied and underserved Hispanic/Latinos (H/L) patients with Type 2 Diabetes. METHODS: A formative, Community-Based Participatory Research approach was used to adapt a home telemonitoring intervention to facilitate acceptability and feasibility for vulnerable H/L patients. Utilizing the ADAPT-ITT framework, key stakeholders were engaged over an 8-month iterative process using a combination of strategies, including focus groups and structured interviews. Nine Community Advisory Board, Patient Advisory, and Provider Panel Committee focus group discussions were conducted, in English and Spanish, to garner stakeholder input before intervention implementation. Focus groups and structured interviews were also conducted with 12 patients enrolled in a 1-month pilot study, to obtain feedback from patients in the home to further adapt the intervention. Focus groups and structured interviews were approximately 2 hours and 30 min, respectively. All focus groups and structured interviews were audio-recorded and professionally transcribed. Structural coding was used to mark responses to topical questions in the moderator and interview guides. RESULTS: Two major themes emerged from qualitative analyses of Community Advisory Board/subcommittee focus group data. The first major theme involved intervention components to maximize acceptance/usability. Subthemes included tablet screens (e.g., privacy/identity concerns; enlarging font sizes; lighter tablet to facilitate portability); cultural incongruence (e.g., language translation/literacy, foods, actors "who look like me"); nursing staff (e.g., ensuring accessibility; appointment flexibility); and, educational videos (e.g., the importance of information repetition). A second major theme involved suggested changes to the randomized control trial study structure to maximize participation, including a major restructuring of the consenting process and changes designed to optimize recruitment strategies. Themes from pilot participant focus group/structured interviews were similar to those of the Community Advisory Board such as the need to address and simplify a burdensome consenting process, the importance of assuring privacy, and an accessible, culturally congruent nurse. CONCLUSIONS: These findings identify important adaptation recommendations from the stakeholder and potential user perspective that should be considered when implementing home telemonitoring for underserved patients with Type 2 Diabetes. TRIAL REGISTRATION: NCT03960424; ClinicalTrials.gov (US National Institutes of Health). Registered 23 May 2019. Registered prior to data collection. https://www.clinicaltrials.gov/ct2/show/NCT03960424?term=NCT03960424&draw=2&rank=1.

A Randomized Controlled Trial Comparing Telehealth Self-Management to Standard Outpatient Management in Underserved Black and Hispanic Patients Living with Heart Failure.

Background:Although the American Heart Association promotes telehealth models to improve care access, there is limited literature on its use in underserved populations. This study is the first to compare utilization and quality of life (QoL) for underserved black and Hispanic heart failure (HF) patients assigned to telehealth self-monitoring (TSM) or comprehensive outpatient management (COM) over 90 days.Methods:This randomized controlled trial enrolled 104 patients. Outcomes included emergency department (ED) visits, hospitalizations, QoL, depression, and anxiety. Binary outcomes for utilization were analyzed using chi-square or Fisher's exact test. Poisson or negative binomial regression, repeated-measures analysis of variance, or generalized estimating equations were also used as appropriate.Results:Of 104 patients, 31% were Hispanic, 69% black, 41% women, and 72% reported incomes of <$10,000/year. Groups did not differ regarding binary ED visits (relative risk [RR] = 1.37, confidence interval [CI] = 0.83-2.27), hospitalization (RR = 0.92, CI = 0.57-1.48), or length of stay in days (TSM = 0.54 vs. COM = 0.91). Number of all-cause hospitalizations was significantly lower for COM (TSM = 0.78 vs. COM = 0.55; p = 0.03). COM patients reported greater anxiety reduction from baseline to 90 days (TSM = 50-28%; COM = 57-13%; p = 0.05).Conclusions:These findings suggest that TSM is not effective in reducing utilization or improving QoL for underserved patients with HF. Future studies are needed to determine whether TSM can be effective for populations facing health care access issues.

Downstream resource utilization following SPECT: Impact of age and gender.

BACKGROUND: Previous studies have identified a downstream referral age and gender bias for invasive coronary anatomy evaluation after single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI). The present study evaluates if such bias still persists despite advancements in SPECT MPI and angiography. We hypothesized that women and patients ≥80 years old are less likely to undergo invasive coronary angiography after adjusting for clinical and scan variables. METHODS: Patients (n = 3824) who referred to a nuclear cardiology laboratory at a tertiary medical center were retrospectively identified. Regression analysis tested age (<55; 55-69; 70-79; ≥80 years) and gender as predictors of diagnostic angiogram at 90 days post-SPECT after adjustment for known CAD, CAD risk equivalent, SSS, SDS, and LVEF. RESULTS: Younger patients were more likely to undergo an angiogram as compared to octogenarians (77% more likely if <55 years old, 69% if 55-69 years old, and 52% if 70-79 years old). No effect was found for gender. CONCLUSIONS: Older patients were less likely to be referred for angiogram as compared to their younger counterparts. Further study is needed to determine which factors guide this decision-making process in older adults and the influence of these factors on the referral bias.

Warfarin Anticoagulation and Spontaneous Pectoral Haematomas.

Warfarin is the oldest and most commonly used anticoagulant in the outpatient setting. Major bleeding events remain as the most life threatening complication of this medication. Bleeding into enclosed structures and body cavities can be fatal in acute scenarios or cause continuous exsanguination if left unnoticed. Pectoral haematomas are an unusual presentation of bleeding diathesis, and are also seldom reported in the literature. We present three cases of patients with development of spontaneous pectoral haematoma during therapy with warfarin alone or with heparin bridging in the treatment of atrial fibrillation and thromboembolism.

Antithrombotic Therapy Practices in Older Adults Residing in the Long-Term Care Setting.

OBJECTIVES: To explore physician practice patterns with regard to antithrombotic therapy, including antiplatelets and anticoagulants, in long-term care residents and compare resulting embolic complications. METHODS: Conducted between August 2012 and March 2013, this study was a retrospective chart review of 400 residents of a long-term care facility. Electronic charts from October 2005 through January 2013 were selected using systematic random sampling. RESULTS: Approximately one-third of residents (29.6%) received anticoagulants, 27.3% received antiplatelets, 15.8% received both, and 27.3% did not receive any antithrombotic therapy. The most commonly prescribed antithrombotic drugs were aspirin (37.5%) and warfarin (22.1%). The type of antithrombotic therapy was significantly associated with medical history, including deep vein thrombosis (P = 0.03), the presence of atrial fibrillation (P = 0.001) and other nonsurgical medical conditions (P = 0.0001). Weight (P = 0.009) and body mass index (P = 0.007) also were significantly associated with type of antithrombotic therapy, indicating that heavier residents and those with a higher body mass index were more likely to receive both anticoagulants and antiplatelets. There was no difference in the number of embolic complications among groups. CONCLUSIONS: Physicians are more disposed to initiate and maintain residents on aspirin while being more cautious when prescribing anticoagulants such as warfarin, dabigatran, heparin, and enoxaparin. In some residents, anticoagulants were not used at all, even when residents had particular risk factors, demonstrating that at times physicians may err on the side of overcautiousness. Antithrombotic therapy should be individualized for each resident based on bleeding risk, comorbidities, and benefits of a particular therapy for our most vulnerable populations.

Exacerbation of pulmonic regurgitation by diastolic tricuspid regurgitation.

Few cases of diastolic mitral regurgitation (MR) and tricuspid regurgitation (TR) have been reported in the world literature. We report the case of a 63-year-old woman admitted for syncope, with a permanent pacemaker following complete heart block. Echocardiography revealed that the timing of the diastolic TR (and noted MR) coincided with the second phase of the pulmonic insufficiency (PI) jet. The respirometer revealed that the diastolic TR and the second phase of the PI are highly sensitive to respiration (attenuated with inspiration and exacerbated with expiration). The uniqueness of this case is the rare occurrence of the exacerbation of PI as the result of diastolic TR.

The implications of cardiac device cybersecurity responsibilities and challenges faced by policymakers, manufacturers, and patients.

INTRODUCTION: As digital health expands, reliance on digital endpoints is rapidly increasing to improve diagnostic accuracy and management in the healthcare field. Digital endpoints are beneficial to monitor how patient's clinical information is processed outside of a clinical setting. AREAS COVERED: Implications of cardiac digital endpoints play a role in allowing patients to track their clinical data outside of a clinical setting. Advances in cardiac digital endpoints involve advanced devices and implants, trackers, and artificial intelligence. We will explore further digital endpoints within cardiology and threats as well as security concerns for policies to focus on the maintenance of safe patient health data analysis, transmission, and processing. EXPERT OPINION: As digital endpoints evolve and expand, policymakers must ensure there is adequate cybersecurity surrounding them. We believe guidelines should be in place to make sure data is accessed solely on a secure connection and access to digital literacy for patients should be readily available.

Dietary Effects of Fasting on the Lipid Panel.

INTRODUCTION: Dietary habits, such as the Mediterranean diet and the Dietary Approaches to Stop Hypertension (DASH), have been shown to improve cardiac health. Another more recent popular form of dieting incorporates periods of fasting known as intermittent fasting. The two main forms are alternate-day fasting and time-restricted eating. METHODS: PubMed search and literature review was undertaken. This review evaluates the current literature regarding the effects of the fasting dietary model and other types of fasting upon the lipid panel. RESULTS: There have been studies that have shown that intermittent fasting does provide a benefit in cardiovascular health, weight loss, and hypertension. However, the effect on cholesterol and triglyceride levels during intermittent fasting is in question. CONCLUSION: The effect that fasting has on one's lipid panel is unclear, there are studies that show that different forms of fasting affect the lipid panel in various ways. There are studies that show that intermittent fasting does improve one's lipid profile and provides health benefits. Randomized controlled clinical trials with a large sample size are needed to evaluate the effects that intermittent fasting has based on race, ethnicity, gender, obesity, dyslipidemia, diabetic and healthy patients, and will lead to definitive evidence of lipid panel outcomes beyond current evidence based solely upon observational cohorts with numerous and multifactorial confounding factors and biases.

The Role of Artificial Intelligence in Improving Patient Outcomes and Future of Healthcare Delivery in Cardiology: A Narrative Review of the Literature.

Cardiovascular diseases exert a significant burden on the healthcare system worldwide. This narrative literature review discusses the role of artificial intelligence (AI) in the field of cardiology. AI has the potential to assist healthcare professionals in several ways, such as diagnosing pathologies, guiding treatments, and monitoring patients, which can lead to improved patient outcomes and a more efficient healthcare system. Moreover, clinical decision support systems in cardiology have improved significantly over the past decade. The addition of AI to these clinical decision support systems can improve patient outcomes by processing large amounts of data, identifying subtle associations, and providing a timely, evidence-based recommendation to healthcare professionals. Lastly, the application of AI allows for personalized care by utilizing predictive models and generating patient-specific treatment plans. However, there are several challenges associated with the use of AI in healthcare. The application of AI in healthcare comes with significant cost and ethical considerations. Despite these challenges, AI will be an integral part of healthcare delivery in the near future, leading to personalized patient care, improved physician efficiency, and anticipated better outcomes.

Clinical Presentation and Risk Stratification of Pulmonary Embolism.

Pulmonary embolism (PE) presents with a spectrum of symptoms, ranging from asymptomatic cases to life-threatening events. Common symptoms include sudden dyspnea, chest pain, limb swelling, syncope, and hemoptysis. Clinical presentation varies based on thrombus burden, demographics, and time to presentation. Diagnostic evaluation involves assessing symptoms, physical examination findings, and utilizing laboratory tests, including D-dimer. Risk stratification using tools like Wells score, Pulmonary Embolism Severity Index, and Hestia criteria aids in determining the severity of PE. PE is categorized based on hemodynamic status, temporal patterns, and anatomic locations of emboli to guide in making treatment decisions. Risk stratification plays a crucial role in directing management strategies, with elderly and comorbid individuals at higher risk. Early identification and appropriate risk stratification are essential for effective management of PE. As we delve into this review article, we aim to enhance the knowledge base surrounding PE, contributing to improved patient outcomes through informed decision-making in clinical practice.

Emergence of Atrial Fibrillation and Flutter in COVID-19 Patients: A Retrospective Cohort Study.

COVID-19 is associated with various cardiovascular complications, including arrhythmias. This study investigated the incidence of new-onset atrial fibrillation (AFB) and atrial flutter (AFL) in COVID-19 patients and identified potential risk factors. We conducted a retrospective cohort study at a tertiary-care safety-net community hospital including 647 patients diagnosed with COVID-19 from March 2020 to March 2021. Patients with a prior history of AFB or AFL were excluded. Data on demographics, clinical characteristics, and outcomes were collected and analyzed using chi-square tests, t-tests, and binary logistic regression. We found that 69 patients (10.66%) developed AFB or AFL, with 41 patients (6.34%) experiencing new-onset arrhythmias. The incidence rates for new-onset AFB and AFL were 5.4% and 0.9%, respectively. Older age (≥65 years) was significantly associated with new-onset AFB/AFL (OR: 5.43; 95% CI: 2.31-12.77; p < 0.001), as was the development of sepsis (OR: 2.73; 95% CI: 1.31-5.70; p = 0.008). No significant association was found with patient sex. Our findings indicate that new-onset atrial arrhythmias are a significant complication in COVID-19 patients, particularly among the elderly and those with sepsis. This highlights the need for targeted monitoring and management strategies to mitigate the burden of atrial arrhythmias in high-risk populations during COVID-19 infection.

Ensuring fidelity: key elements to consider in disseminating a diabetes telemanagement program for underserved Hispanic/Latinos living with type 2 diabetes.

Background: The Hispanic/Latino population has greater risk (estimated >50%) of developing type 2 diabetes (T2D) and developing it at a younger age. The American Diabetes Association estimates costs of diagnosed diabetes in 2017 was $327 billion; with medical costs 2.3x higher than patients without diabetes. The purpose of this manuscript is to describe the methodology utilized in a randomized controlled trial aimed at evaluating the efficacy of a diabetes telemanagement (DTM) program for Hispanic/Latino patients with T2D. The intent is to provide information for future investigators to ensure that this study can be accurately replicated. Methods: This study was a randomized controlled trial with 240 participants. Eligible patients (Hispanic/Latino, aged 18+, living with T2D) were randomized to Comprehensive Outpatient Management (COM) or DTM. DTM was comprised of usual care, including routine clinic visits every three months, as well as: Biometrics (a tablet, blood glucose meter, blood pressure monitor, and scale); Weekly Video Visits (facilitated in the patient's preferred language); and Educational Videos (including culturally congruent diabetes self-management education and quizzes). COM consisted of usual care including routine clinic visits every three months. For this study, COM patients received a glucometer, glucose test strips, and lancets. Establishing a therapeutic nurse-patient relationship was a fundamental component of our study for both groups. First contact (post-enrollment) centered on ensuring that patients and caregivers understood the program, building trust and rapport, creating a non-judgmental environment, determining language preference, and establishing scheduling availability (including evenings and weekends). DTM were provided with a tablet which allowed for self-paced education through videos and weekly video visits. The research team and Community Advisory Board identified appropriate educational video content, which was incorporated in diabetes educational topics. Video visits allowed us to assess patient involvement, motivation, and nonverbal communication. Communicating in Spanish, and awareness of diverse Hispanic/Latino backgrounds was critical, as using relevant and commonly-used terms can increase adherence and improve outcomes. Shared decision-making was encouraged to make realistic health care choices. Conclusion: Key elements discussed above provide a framework for future dissemination of an evidence-based DTM intervention to meet the needs of underserved Hispanic/Latino people living with T2D.

A rare case of successfully treated cardiac metastasis from transitional cell bladder cancer.

Although it is common to find metastases of transitional cell carcinoma of the bladder to the lymph nodes, lung, bone, and liver, cardiac metastases have only been rarely reported. We report a case of symptomatic metastasis of transitional cell cancer to the right ventricle. A 59-year-old man with a history of transitional cell bladder cancer status post cystectomy and chemotherapy, with neobladder placement, presented with hematuria, shortness of breath, murmur, and evidence of right-sided heart failure. On imaging workup, including transthoracic echocardiography and cardiac computed tomography, we found a large right ventricular mass. A review of the literature showed that there are only 9 cases of cardiac metastasis from transitional cell cancer reported; however, our case is unique because it is the only reported case of symptomatic improvement due to effective treatment with chemotherapy.

The Importance of Engaging in Scientific Research during Medical Training.

Many components of required skills and competencies exist, and are felt to contribute to the successful completion of training for independent practice in the medical field as a physician. These requirements are documented and detailed in a temporal fashion during the training period and used for advancement during training as well as documentation of successful completion of that training. While clinical skill development that allows optimal care and treatment of patients is of utmost importance during this training, other components of the training are important and contribute to the ideal development of a well-rounded and credentialed physician. One of these other components which is very important and needs to be recognized is the engagement of medical trainees across disciplines in academic and research scholarly activity. This engagement is an important component of medical training, and the development of skills and didactics geared toward efficient and accurate performance of research is essential.

The Utility of Language Models in Cardiology: A Narrative Review of the Benefits and Concerns of ChatGPT-4.

Artificial intelligence (AI) and language models such as ChatGPT-4 (Generative Pretrained Transformer) have made tremendous advances recently and are rapidly transforming the landscape of medicine. Cardiology is among many of the specialties that utilize AI with the intention of improving patient care. Generative AI, with the use of its advanced machine learning algorithms, has the potential to diagnose heart disease and recommend management options suitable for the patient. This may lead to improved patient outcomes not only by recommending the best treatment plan but also by increasing physician efficiency. Language models could assist physicians with administrative tasks, allowing them to spend more time on patient care. However, there are several concerns with the use of AI and language models in the field of medicine. These technologies may not be the most up-to-date with the latest research and could provide outdated information, which may lead to an adverse event. Secondly, AI tools can be expensive, leading to increased healthcare costs and reduced accessibility to the general population. There is also concern about the loss of the human touch and empathy as AI becomes more mainstream. Healthcare professionals would need to be adequately trained to utilize these tools. While AI and language models have many beneficial traits, all healthcare providers need to be involved and aware of generative AI so as to assure its optimal use and mitigate any potential risks and challenges associated with its implementation. In this review, we discuss the various uses of language models in the field of cardiology.

The Clinical Role of Cardiovascular Magnetic Resonance Imaging in the Assessment of Cardiac Diastolic Dysfunction.

Echocardiography is the gold standard clinical tool for the evaluation of left ventricular diastolic dysfunction (LVDD) and is used to validate other cardiac imaging modalities in measuring diastolic dysfunction. We examined Cardiac Magnetic Resonance Imaging (CMR) in detecting diastolic dysfunction using the time-volume curve-derived parameters compared to echocardiographic diastolic parameters. We evaluated patients who underwent both CMR and transthoracic echocardiography (TTE) within 2 ± 1 weeks of each other. On echo, Doppler/Tissue Doppler Imaging (TDI) measurements were obtained. On CMR, peak filling rate (PFR), time to PFR (TPFR), 1/3 filling fraction (1/3FF), and 1/3 filling rate (1/3FR) were calculated from the time-volume curve. Using the commonly employed E/A ratio, 44.4% of patients were found to have LVDD. Using septal E/E' and lateral E/E', 29.6% and 48.1% of patients had LVDD, respectively. Correlation was found between left atrial (LA) size and E/A ratio (R = -0.36). Using LVDD criteria for CMR, 63% of patients had diastolic dysfunction. CMR predicted LVDD in 66.7% of the cases. CMR-derived diastolic filling parameters provided a relatively easy and promising method for the assessment of LVDD and can predict the presence of LVDD as assessed by traditional Doppler and TDI methods.

Correction: Farshadmand et al. Utility of Cardiac Power Hemodynamic Measurements in the Evaluation and Risk Stratification of Cardiovascular Conditions. Healthcare 2022, 10, 2417.

Zachary Lowy was not included as an author in the original publication [...].