Valvular Heart Disease in Relation to Race and Ethnicity

Lamprea‐Montealegre, Julio A.; Oyetunji, S.; Bagur, Rodrigo; Otto, Catherine M.

doi:10.1016/j.jacc.2021.04.109

Cited by 15 publications

(9 citation statements)

References 37 publications

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“…Previous studies have reported lower rates of invasive cardiac procedures in non-Hispanic Black compared to White patients. 20,21 The overall prevalence of additional arrhythmias, including second-or third-degree heart block and tachyarrhythmias, in our analysis was low. Similar to the main findings of our study, when stratified by race, White patients were more likely to undergo PPM implantation for second-or third-degree heart block and more likely to undergo cardioversion for atrial fibrillation.…”

Section: Discussionmentioning

confidence: 56%

The association of racial differences with in-hospital outcomes of patients admitted for sinus node dysfunction

et al. 2022

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Section: Discussionmentioning

confidence: 56%

The association of racial differences with in-hospital outcomes of patients admitted for sinus node dysfunction

et al. 2022

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“…Echo automation using AI can reduce structural and economic barriers to VHD care, democratising access to disease screening, point-of-care valvular evaluation and potentially referral for intervention 34 46 47. For example, conditions such as rheumatic heart disease, which is underdiagnosed among marginalised populations, could benefit from automated disease detection and help connect patients with healthcare services 48. Additionally, platforms such as federated cloud computing can allow for automated image acquisition in low access areas with real-time image interpretation/consultation occurring elsewhere in a private and trustworthy manner 49.…”

Section: Summary and Future Directionsmentioning

confidence: 99%

“… 34 46 47 For example, conditions such as rheumatic heart disease, which is underdiagnosed among marginalised populations, could benefit from automated disease detection and help connect patients with healthcare services. 48 Additionally, platforms such as federated cloud computing can allow for automated image acquisition in low access areas with real-time image interpretation/consultation occurring elsewhere in a private and trustworthy manner. 49 AI applications in phenotyping could be used in other circumstances where valvular assessment on echo can be challenging, such as in identifying low-flow, low-gradient AS, or in disease quantification in mixed valve disease.…”

Section: Summary and Future Directionsmentioning

confidence: 99%

Artificial intelligence for the echocardiographic assessment of valvular heart disease

Nedadur

Wang

Tsang

2022

Heart

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Developments in artificial intelligence (AI) have led to an explosion of studies exploring its application to cardiovascular medicine. Due to the need for training and expertise, one area where AI could be impactful would be in the diagnosis and management of valvular heart disease. This is because AI can be applied to the multitude of data generated from clinical assessments, imaging and biochemical testing during the care of the patient. In the area of valvular heart disease, the focus of AI has been on the echocardiographic assessment and phenotyping of patient populations to identify high-risk groups. AI can assist image acquisition, view identification for review, and segmentation of valve and cardiac structures for automated analysis. Using image recognition algorithms, aortic and mitral valve disease states have been directly detected from the images themselves. Measurements obtained during echocardiographic valvular assessment have been integrated with other clinical data to identify novel aortic valve disease subgroups and describe new predictors of aortic valve disease progression. In the future, AI could integrate echocardiographic parameters with other clinical data for precision medical management of patients with valvular heart disease.

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“…19,20 There continue to be significant disparities in cardiovascular outcomes based on race. 21,22 When it comes to the role of race and ethnicity in cardiovascular health, “never has there been a better time to increase our efforts to actualize health equity.” 23,24 Racial and ethnic disparities and other social determinants of health still play a significant role in the management of hypertension, 25 diabetes/obesity, 26 CAD/stroke, 27 valvular heart disease, 28 atrial fibrillation, 29 hypertrophic cardiomyopathy, 30 dilated cardiomyopathy, 31 and heart failure. 32 In addition, culture, language, affordable access to healthcare, social support, network, and residential environment play a key role in overall health and cardiovascular outcomes.…”

Section: Social Determinants Of Cardiovascular Healthmentioning

confidence: 99%

Lifestyle Medicine: An Antidote to Cardiovascular Diseases

Reddy

Freeman

2022

American Journal of Lifestyle Medicine

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Despite numerous advances in basic understanding of cardiovascular disease pathophysiology, pharmacology, therapeutic procedures, and systems improvement, there hasn’t been much decline in heart disease related morality in the US since 2010. Hypertension and diet induced risk continue to be the leading causes of cardiovascular morbidity. Even with the excessive mortality associated with the COVID-19 pandemic, in 2020, heart disease remained the leading cause of death. Given the degree of disease burden, morbidity, and mortality, there is an urgent need to redirect medical professionals’ focus towards prevention through simple and cost effective lifestyle strategies. However, current practice paradigm and financial compensation systems are mainly centered disease management and not health promotion. For example, the financial value placed on 3–10 min smoking cessation counseling (.24RVUs) is 47-fold lower than an elective PCI (11.21 RVUs). The medical community seems to be enamored with the latest and greatest technology, new devices, and surgical procedures. What if the greatest technology of all was simply the way we live every day? Perhaps when this notion is known by enough, we will switch to this lifestyle medicine technology to prevent disease in the first place.

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Valvular Heart Disease in Relation to Race and Ethnicity

Cited by 15 publications

References 37 publications

The association of racial differences with in-hospital outcomes of patients admitted for sinus node dysfunction

The association of racial differences with in-hospital outcomes of patients admitted for sinus node dysfunction

Artificial intelligence for the echocardiographic assessment of valvular heart disease

Lifestyle Medicine: An Antidote to Cardiovascular Diseases

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