A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression.

Importance: Aortic stenosis (AS) is a major public health challenge with a growing therapeutic landscape, but current biomarkers do not inform personalized screening and follow-up. A video-based artificial intelligence (AI) biomarker (Digital AS Severity index [DASSi]) can detect severe AS using single-view long-axis echocardiography without Doppler characterization. Objective: To deploy DASSi to patients with no AS or with mild or moderate AS at baseline to identify AS development and progression. Design, Setting, and Participants: This is a cohort study that examined 2 cohorts of patients without severe AS undergoing echocardiography in the Yale New Haven Health System (YNHHS; 2015-2021) and Cedars-Sinai Medical Center (CSMC; 2018-2019). A novel computational pipeline for the cross-modal translation of DASSi into cardiac magnetic resonance (CMR) imaging was further developed in the UK Biobank. Analyses were performed between August 2023 and February 2024. Exposure: DASSi (range, 0-1) derived from AI applied to echocardiography and CMR videos. Main Outcomes and Measures: Annualized change in peak aortic valve velocity (AV-Vmax) and late (>6 months) aortic valve replacement (AVR). Results: A total of 12 599 participants were included in the echocardiographic study (YNHHS: n = 8798; median [IQR] age, 71 [60-80] years; 4250 [48.3%] women; median [IQR] follow-up, 4.1 [2.4-5.4] years; and CSMC: n = 3801; median [IQR] age, 67 [54-78] years; 1685 [44.3%] women; median [IQR] follow-up, 3.4 [2.8-3.9] years). Higher baseline DASSi was associated with faster progression in AV-Vmax (per 0.1 DASSi increment: YNHHS, 0.033 m/s per year [95% CI, 0.028-0.038] among 5483 participants; CSMC, 0.082 m/s per year [95% CI, 0.053-0.111] among 1292 participants), with values of 0.2 or greater associated with a 4- to 5-fold higher AVR risk than values less than 0.2 (YNHHS: 715 events; adjusted hazard ratio [HR], 4.97 [95% CI, 2.71-5.82]; CSMC: 56 events; adjusted HR, 4.04 [95% CI, 0.92-17.70]), independent of age, sex, race, ethnicity, ejection fraction, and AV-Vmax. This was reproduced across 45 474 participants (median [IQR] age, 65 [59-71] years; 23 559 [51.8%] women; median [IQR] follow-up, 2.5 [1.6-3.9] years) undergoing CMR imaging in the UK Biobank (for participants with DASSi ≥0.2 vs those with DASSi <.02, adjusted HR, 11.38 [95% CI, 2.56-50.57]). Saliency maps and phenome-wide association studies supported associations with cardiac structure and function and traditional cardiovascular risk factors. Conclusions and Relevance: In this cohort study of patients without severe AS undergoing echocardiography or CMR imaging, a new AI-based video biomarker was independently associated with AS development and progression, enabling opportunistic risk stratification across cardiovascular imaging modalities as well as potential application on handheld devices.

Study Protocol for the Artificial Intelligence-Driven Evaluation of Structural Heart Diseases Using Wearable Electrocardiogram (ID-SHD).

Introduction: Portable devices capable of electrocardiogram (ECG) acquisition have the potential to enhance structural heart disease (SHD) management by enabling early detection through artificial intelligence-ECG (AI-ECG) algorithms. However, the performance of these AI algorithms for identifying SHD in a real-world screening setting is unknown. To address this gap, we aim to evaluate the validity of our wearable-adapted AI algorithm, which has been previously developed and validated for detecting SHD from single-lead portable ECGs in patients undergoing routine echocardiograms in the Yale New Haven Hospital (YNHH). Research Methods and Analysis: This is the protocol for a cross-sectional study in the echocardiographic laboratories of YNHH. The study will enroll 585 patients referred for outpatient transthoracic echocardiogram (TTE) as part of their routine clinical care. Patients expressing interest in participating in the study will undergo a screening interview, followed by enrollment upon meeting eligibility criteria and providing informed consent. During their routine visit, patients will undergo a 1-lead ECG with two devices - one with an Apple Watch and the second with another portable 1-lead ECG device. With participant consent, these 1-lead ECG data will be linked to participant demographic and clinical data recorded in the YNHH electronic health records (EHR). The study will assess the performance of the AI-ECG algorithm in identifying SHD, including left ventricular systolic dysfunction (LVSD), valvular disease and severe left ventricular hypertrophy (LVH), by comparing the algorithm's results with data obtained from TTE, which is the established gold standard for diagnosing SHD. Ethics and Dissemination: All patient EHR data required for assessing eligibility and conducting the AI-ECG will be accessed through secure servers approved for protected health information. Data will be maintained on secure, encrypted servers for a minimum of five years after the publication of our findings in a peer-reviewed journal, and any unanticipated adverse events or risks will be reported by the principal investigator to the Yale Institutional Review Board, which has reviewed and approved this protocol (Protocol Number: 2000035532).

A Multimodality Video-Based AI Biomarker For Aortic Stenosis Development And Progression.

Importance: Aortic stenosis (AS) is a major public health challenge with a growing therapeutic landscape, but current biomarkers do not inform personalized screening and follow-up. Objective: A video-based artificial intelligence (AI) biomarker (Digital AS Severity index [DASSi]) can detect severe AS using single-view long-axis echocardiography without Doppler. Here, we deploy DASSi to patients with no or mild/moderate AS at baseline to identify AS development and progression. Design Setting and Participants: We defined two cohorts of patients without severe AS undergoing echocardiography in the Yale-New Haven Health System (YNHHS) (2015-2021, 4.1[IQR:2.4-5.4] follow-up years) and Cedars-Sinai Medical Center (CSMC) (2018-2019, 3.4[IQR:2.8-3.9] follow-up years). We further developed a novel computational pipeline for the cross-modality translation of DASSi into cardiac magnetic resonance (CMR) imaging in the UK Biobank (2.5[IQR:1.6-3.9] follow-up years). Analyses were performed between August 2023-February 2024. Exposure: DASSi (range: 0-1) derived from AI applied to echocardiography and CMR videos. Main Outcomes and Measures: Annualized change in peak aortic valve velocity (AV-Vmax) and late (>6 months) aortic valve replacement (AVR). Results: A total of 12,599 participants were included in the echocardiographic study (YNHHS: n=8,798, median age of 71 [IQR (interquartile range):60-80] years, 4250 [48.3%] women, and CSMC: n=3,801, 67 [IQR:54-78] years, 1685 [44.3%] women). Higher baseline DASSi was associated with faster progression in AV-Vmax (per 0.1 DASSi increments: YNHHS: +0.033 m/s/year [95%CI:0.028-0.038], n=5,483, and CSMC: +0.082 m/s/year [0.053-0.111], n=1,292), with levels ≥ vs <0.2 linked to a 4-to-5-fold higher AVR risk (715 events in YNHHS; adj.HR 4.97 [95%CI: 2.71-5.82], 56 events in CSMC: 4.04 [0.92-17.7]), independent of age, sex, ethnicity/race, ejection fraction and AV-Vmax. This was reproduced across 45,474 participants (median age 65 [IQR:59-71] years, 23,559 [51.8%] women) undergoing CMR in the UK Biobank (adj.HR 11.4 [95%CI:2.56-50.60] for DASSi ≥vs<0.2). Saliency maps and phenome-wide association studies supported links with traditional cardiovascular risk factors and diastolic dysfunction. Conclusions and Relevance: In this cohort study of patients without severe AS undergoing echocardiography or CMR imaging, a new AI-based video biomarker is independently associated with AS development and progression, enabling opportunistic risk stratification across cardiovascular imaging modalities as well as potential application on handheld devices.

Next Generation, Modifiable Cardiometabolic Biomarkers: Mitochondrial Adaptation and Metabolic Resilience: A Scientific Statement From the American Heart Association.

Cardiometabolic risk is increasing in prevalence across the life span with disproportionate ramifications for youth at socioeconomic disadvantage. Established risk factors and associated disease progression are harder to reverse as they become entrenched over time; if current trends are unchecked, the consequences for individual and societal wellness will become untenable. Interrelated root causes of ectopic adiposity and insulin resistance are understood but identified late in the trajectory of systemic metabolic dysregulation when traditional cardiometabolic risk factors cross current diagnostic thresholds of disease. Thus, children at cardiometabolic risk are often exposed to suboptimal metabolism over years before they present with clinical symptoms, at which point life-long reliance on pharmacotherapy may only mitigate but not reverse the risk. Leading-edge indicators are needed to detect the earliest departure from healthy metabolism, so that targeted, primordial, and primary prevention of cardiometabolic risk is possible. Better understanding of biomarkers that reflect the earliest transitions to dysmetabolism, beginning in utero, ideally biomarkers that are also mechanistic/causal and modifiable, is critically needed. This scientific statement explores emerging biomarkers of cardiometabolic risk across rapidly evolving and interrelated "omic" fields of research (the epigenome, microbiome, metabolome, lipidome, and inflammasome). Connections in each domain to mitochondrial function are identified that may mediate the favorable responses of each of the omic biomarkers featured to a heart-healthy lifestyle, notably to nutritional interventions. Fuller implementation of evidence-based nutrition must address environmental and socioeconomic disparities that can either facilitate or impede response to therapy.

Development of an international glossary for clinical guidelines collaboration.

OBJECTIVES: Clinical practice guidelines (CPGs) are often created through collaboration among organizations. The use of inconsistent terminology may cause poor communication and delays. This study aimed to develop a glossary of terms related to collaboration in guideline development. STUDY DESIGN AND SETTING: A literature review of collaborative guidelines was performed to develop an initial list of terms related to guideline collaboration. The list of terms was presented to the members of the Guideline International Network Guidelines Collaboration Working Group, who provided presumptive definitions for each term and proposed additional terms to be included. The revised list was subsequently reviewed by an international, multidisciplinary panel of expert stakeholders. Recommendations received during this pre-Delphi review were implemented to augment an initial draft glossary. The glossary was then critically evaluated and refined through two rounds of Delphi surveys and a virtual consensus meeting with all panel members as Delphi participants. RESULTS: Forty-nine experts participated in the pre-Delphi survey, and 44 participated in the two-round Delphi process. Consensus was reached for 37 terms and definitions. CONCLUSION: Uptake and utilization of this guideline collaboration glossary by key organizations and stakeholder groups may facilitate collaboration among guideline-producing organizations by improving communication, minimizing conflicts, and increasing guideline development efficiency.

Nurturing Diverse Generations of the Medical Workforce for Success With Authenticity: An Association of Black Cardiologists' Roundtable.

The COVID-19 pandemic exposed the consequences of systemic racism in the United States with Black, Hispanic, and other racial and ethnic diverse populations dying at disproportionately higher rates than White Americans. Addressing the social and health disparities amplified by COVID-19 requires in part restructuring of the healthcare system, particularly the diversity of the healthcare workforce to better reflect that of the US population. In January 2021, the Association of Black Cardiologists hosted a virtual roundtable designed to discuss key issues pertaining to medical workforce diversity and to identify strategies aimed at improving racial and ethnic diversity in medical school, graduate medical education, faculty, and leadership positions. The Nurturing Diverse Generations of the Medical Workforce for Success with Authenticity roundtable brought together diverse stakeholders and champions of diversity and inclusion to discuss innovative ideas, solutions, and opportunities to address workforce diversification.

Community-Based Participatory Research to Improve Cardiovascular Health Among US Racial and Ethnic Minority Groups.

Purpose of Review: This review aims to assess the contemporary community-based participatory research (CBPR) literature seeking to improve the cardiovascular health of racial and ethnic minority groups in the USA with a higher burden of cardiovascular risk factors and social determinants of health. It summarizes recent CBPR studies based on the American Heart Association Life's Simple 7 (LS7) framework, delineating seven modifiable health behaviors and clinical factors to promote cardiovascular health. Recent Findings: Although limited in quantity, studies demonstrated preliminary effectiveness in improving individual and a composite of LS7 indicators by employing strategies centered around fortifying social networks, integrating group activities, leveraging technology, incorporating faith-based and spiritual practices, and implementing changes to the built environment. Summary: Future directions for investigators engaged in CBPR include building on the existing body of evidence through more comprehensive studies, scaling effective interventions, and translating CBPR findings to influence health policy to better address health disparities.

Online team-based electrocardiogram training in Haiti: evidence from the field.

BACKGROUND: The electrocardiogram (ECG) is the most relied upon tool for cardiovascular diagnosis, especially in low-resource settings because of its low cost and straightforward usability. It is imperative that internal medicine (IM) and emergency medicine (EM) specialists are competent in ECG interpretation. Our study was designed to improve proficiency in ECG interpretation through a competition among IM and EM residents at a teaching hospital in rural central Haiti in which over 40% of all admissions are due to CVD. METHODOLOGY: The 33 participants included 17 EM residents and 16 IM residents from each residency year at the Hôpital Universitaire de Mirebalais (HUM). Residents were divided into 11 groups of 3 participants with a representative from each residency year and were given team-based online ECG quizzes to complete weekly. The format included 56 ECG cases distributed over 11 weeks, and each case had a pre-specified number of points based on abnormal findings and complexity. All ECG cases represented cardiovascular pathology in Haiti adapted from the Association of Program Directors in Internal Medicine evaluation list. The main intervention was sharing group performance and ECG solutions to all participants each week to promote competition and self-study without specific feedback or discussion by experts. To assess impact, pre- and post-intervention assessments measuring content knowledge and comfort for each participant were performed. RESULTS: Overall group participation was heterogeneous with groups participating a median of 54.5% of the weeks (range 0-100%). 22 residents completed the pre- and post-test assessments. The mean pre- and post-intervention assessment knowledge scores improved from 27.3% to 41.7% (p = 0.004). 70% of participants improved their test scores. The proportion of participants who reported comfort with ECG interpretation increased from 57.6% to 66.7% (p = 0.015). CONCLUSION: This study demonstrates improvement in ECG interpretation through a team-based, asynchronous ECG competition approach. This method is easily scalable and could help to fill gaps in ECG learning. This approach can be delivered to other hospitals both in and outside Haiti. Further adaptations are needed to improve weekly group participation.

Racial and Ethnic Disparities in Cancer-Associated Thrombosis.

Active malignancy increases the risk of developing venous thromboembolism (VTE) by four- to seven-fold. The risk of VTE, including deep vein thrombosis and pulmonary embolism, in patients with cancer varies based on several clinical factors, such as cancer stage and age. However, race and ethnicity are also associated with increased VTE risk. Black (African American) patients with cancer have a higher risk of developing VTE than White patients, while Asian/Pacific Islanders have a lower risk. Studies on cancer-associated thrombosis demonstrate a need to advance our understanding of both the biologic and sociologic underpinnings of the observed differences according to race. Addressing the causes of these disparities can better health outcomes for historically underserved patient populations.

"Can you see my screen?" Addressing Racial and Ethnic Disparities in Telehealth.

PURPOSE OF REVIEW: Telehealth is an innovative approach with great potential to bridge the healthcare delivery gap, especially for underserved communities. While minority populations represent a target audience that could benefit significantly from this modern solution, little of the existing literature speaks to its acceptability, accessibility, and overall effectiveness in underserved populations. Here, we review the various challenges and achievements of contemporary telehealth and explore its impact on care delivery as an alternative or adjunct to traditional healthcare delivery systems. RECENT FINDINGS: Given the COVID-19 pandemic, there has been a rapid acceleration in telemedicine adoption. Recent studies of telemedicine utilization during the pandemic reveal stark disparities in telemedicine modality use based on race, socioeconomic status, geography, and age. SUMMARY: While telehealth has great potential to overcome healthcare obstacles, the digital divide stands as a challenge to equitable telehealth and telemedicine adoption. Achieving health equity in telehealth will require the mobilization of resources, financial incentives, and political will among hospital systems, insurance companies, and government officials.

Partnering With Barbershops and Salons to Engage Vulnerable Communities During the COVID-19 Pandemic.

This manuscript conveys the story of the health and economic challenges faced by a coalition of barbershops and salons in West Philadelphia. It is grounded in city and national data that illustrate the widening racial and class disparities during coronavirus disease 2019. Ultimately, it is a story of resilience that outlines a budding partnership between barbershop and salon owners, their community, and medical providers.

Implementation of a virtual international cardiology curriculum to address the deficit of cardiovascular education in Haiti: a pilot study.

BACKGROUND: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide, conferring a disparate burden on low-income and middle-income countries (LMICs). Haiti represents a resource-constrained setting, limited by a paucity of resources and trained cardiovascular professionals equipped to address the increasing burden of CVD. OBJECTIVE: Here, we describe the creation of a comprehensive cardiology curriculum delivered through a virtual classroom. The curriculum was created to augment cardiovascular education in LMICs such as Haiti. METHODS: Over one academic year (May 2019-2020), International Cardiology Curriculum Accessible by Remote Distance Learning-Haiti consisted of biweekly, live-streamed, synchronous didactic lectures, seminars and case presentations broadcasted to 16 internal medicine (IM) residents at Hôpital Universitaire de Mirebalais, one of only four IM training programmes in Haiti. The virtual classroom was created using commercially available videoconferencing and data-sharing platforms. Prelecture and postlecture surveys and an end of the year survey were administered to assess the impact of the curriculum. RESULTS: Participant performance analysis revealed that 80% of the curriculum demonstrated a positive trend in knowledge acquisition postintervention. Based on the end of the year evaluation, 94% of participants reported that the curriculum was educational and relevant to medical practice in Haiti and 100% reported that the curriculum was good to excellent. Additionally, the curriculum was cited as an effective means of maintaining trainee education during the COVID-19 pandemic. CONCLUSION: This international medical education pilot study demonstrates the feasibility of augmenting cardiology education in LMICs by creating a virtual curriculum made possible by local partnerships, internet access and technology.

Understanding Drivers of Coronavirus Disease 2019 Vaccine Hesitancy Among Blacks.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has disproportionately affected communities of color, with black persons experiencing the highest rates of disease severity and mortality. A vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has the potential to reduce the race mortality gap from COVID-19; however, hesitancy toward the vaccine in the black community threatens vaccine uptake. METHODS: We conducted focus groups with black barbershop and salon owners living in zip codes of elevated COVID-19 prevalence to assess their attitudes, beliefs, and norms around a COVID-19 vaccine. We used a modified grounded theory approach to analyze the transcripts. RESULTS: We completed 4 focus groups (N = 24 participants) in July and August 2020. Participants were an average age of 46 years, and 89% were black non-Hispanic. Hesitancy against the COVID-19 vaccine was high due to mistrust in the medical establishment, concerns with the accelerated timeline for vaccine development, limited data on short- and long-term side effects, and the political environment promoting racial injustice. Some participants were willing to consider the vaccine once the safety profile is robust and reassuring. Receiving a recommendation to take the vaccine from a trusted healthcare provider served as a facilitator. Health beliefs identified were similar to concerns around other vaccines and included the fear of getting the infection with vaccination and preferring to improve one's baseline physical health through alternative therapies. CONCLUSIONS: We found that hesitancy of receiving the COVID-19 vaccine was high; however, provider recommendation and transparency around the safety profile might help reduce this hesitancy.

Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic.

Importance: The coronavirus disease 2019 (COVID-19) pandemic has required a shift in health care delivery platforms, necessitating a new reliance on telemedicine. Objective: To evaluate whether inequities are present in telemedicine use and video visit use for telemedicine visits during the COVID-19 pandemic. Design, Setting, and Participants: In this cohort study, a retrospective medical record review was conducted from March 16 to May 11, 2020, of all patients scheduled for telemedicine visits in primary care and specialty ambulatory clinics at a large academic health system. Age, race/ethnicity, sex, language, median household income, and insurance type were all identified from the electronic medical record. Main Outcomes and Measures: A successfully completed telemedicine visit and video (vs telephone) visit for a telemedicine encounter. Multivariable models were used to assess the association between sociodemographic factors, including sex, race/ethnicity, socioeconomic status, and language, and the use of telemedicine visits, as well as video use specifically. Results: A total of 148 402 unique patients (86 055 women [58.0%]; mean [SD] age, 56.5 [17.7] years) had scheduled telemedicine visits during the study period; 80 780 patients (54.4%) completed visits. Of 78 539 patients with completed visits in which visit modality was specified, 35 824 (45.6%) were conducted via video, whereas 24 025 (56.9%) had a telephone visit. In multivariable models, older age (adjusted odds ratio [aOR], 0.85 [95% CI, 0.83-0.88] for those aged 55-64 years; aOR, 0.75 [95% CI, 0.72-0.78] for those aged 65-74 years; aOR, 0.67 [95% CI, 0.64-0.70] for those aged ≥75 years), Asian race (aOR, 0.69 [95% CI, 0.66-0.73]), non-English language as the patient's preferred language (aOR, 0.84 [95% CI, 0.78-0.90]), and Medicaid insurance (aOR, 0.93 [95% CI, 0.89-0.97]) were independently associated with fewer completed telemedicine visits. Older age (aOR, 0.79 [95% CI, 0.76-0.82] for those aged 55-64 years; aOR, 0.78 [95% CI, 0.74-0.83] for those aged 65-74 years; aOR, 0.49 [95% CI, 0.46-0.53] for those aged ≥75 years), female sex (aOR, 0.92 [95% CI, 0.90-0.95]), Black race (aOR, 0.65 [95% CI, 0.62-0.68]), Latinx ethnicity (aOR, 0.90 [95% CI, 0.83-0.97]), and lower household income (aOR, 0.57 [95% CI, 0.54-0.60] for income <$50 000; aOR, 0.89 [95% CI, 0.85-0.92], for $50 000-$100 000) were associated with less video use for telemedicine visits. These results were similar across medical specialties. Conclusions and Relevance: In this cohort study of patients scheduled for primary care and medical specialty ambulatory telemedicine visits at a large academic health system during the early phase of the COVID-19 pandemic, older patients, Asian patients, and non-English-speaking patients had lower rates of telemedicine use, while older patients, female patients, Black, Latinx, and poorer patients had less video use. Inequities in accessing telemedicine care are present, which warrant further attention.