Racial and Ethnic Disparities in the Trends and Outcomes of Cardiogenic Shock Complicating Peripartum Cardiomyopathy

Olanipekun, Titilope; Abe, Temidayo; Effoe, Valery; Mather, Paul; Echols, Melvin R.; Adedinsewo, Demilade

doi:10.1001/jamanetworkopen.2022.20937

Cited by 9 publications

(6 citation statements)

References 51 publications

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“…In a cohort of 55 804 hospitalized patients with PPCM, Black (OR, 1.17 [95% CI, 1.15–1.57]; P <0.001) and Hispanic (OR, 1.37 [95% CI, 1.17–1.59]; P <0.001) individuals were more likely to develop cardiogenic shock than White individuals. 32 Similarly, Black (OR, 1.67 [95% CI, 1.21–2.23]; P =0.002) and Hispanic (OR, 2.20 [95% CI, 1.45–3.33]; P <0.001) individuals were more likely to have in-hospital mortality than White individuals.…”

Section: Cardiomyopathy and Heart Failurementioning

confidence: 97%

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

Martin,

Aday,

Almarzooq

et al. 2024

Circulation

216

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BACKGROUND: The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS: The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year’s worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year’s edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

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Section: Cardiomyopathy and Heart Failurementioning

confidence: 97%

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

Martin,

Aday,

Almarzooq

et al. 2024

Circulation

216

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“…63,66 US mortality rates due to peripartum cardiomyopathy range from 7% to 20%, with the highest mortality rates seen in Black women. 69 Currently, no specific therapies have proven beneficial for peripartum cardiomyopathy through randomized clinical trials, thus management strategies have been extrapolated from the guideline-directed medical therapy for HFrEF. If HF medical therapy is initiated prior to delivery, it must be tailored to avoid teratogenic effects to the fetus.…”

Section: Cardiovascular Disorders Of Pregnancy and Peripartum Cardiom...mentioning

confidence: 99%

Cardiomyopathies in Women

Martin

2024

Methodist DeBakey Cardiovascular Journal

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Heart failure affects over 2.6 million people in the United States. While women have better overall survival rates, they also suffer from higher morbidity as shown by higher rates of hospitalization and worse quality of life. Several anatomical differences in women's hearts affect both systolic and diastolic cardiac physiology. Despite these findings, women are significantly underrepresented in clinical trials, necessitating extrapolation of data from males. Because women have sex-specific etiologies of heart failure and unique manifestations in genetic-related cardiomyopathies, meaningful sex-related differences affect heart failure outcomes as well as access to and outcomes in advanced heart failure therapies in women. This review explores these gender-specific differences and potential solutions to balance care between women and men.

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“…Each question was posed to ChatGPT 3 times to assess for variability in responses. [17][18][19][20][21] After each question prompt, ChatGPT was closed and reopened to check for inconsistency and variation in the output. The 180 responses from each of the 3 entries of the 60 questions were recorded, following which all responses obtained were be graded individually assessed as 'yes' if the response was correct, 'hedge' if the response did not explicitly yield a correct response, and 'no' if the response was either wrong or misleading.…”

Section: Evaluation and Statistical Analysismentioning

confidence: 99%

Racial Disparities in Knowledge of Cardiovascular Disease by a Chat-Based Artificial Intelligence Model

Eromosele,

Sobodu,

Olayinka

et al. 2023

Preprint

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Background Patients and their families often explore the information available online for information about health status. A dialogue-based artificial intelligence (AI) language model (ChatGPT) has been developed for complex question and answer. We sought to assess whether AI model had knowledge of cardiovascular disease (CVD) racial disparities, including disparities associated with CVD risk factors and associated diseases. Methods To assess ChatGPT's responses to topic in cardiovascular disease disparities, we created six questions of twenty sets, with each set consisting of three questions with changes to text prompt based on differences in patient demographics. Each question was asked three times to assess variability in responses. Results A total of 180 responses were tabulated from ChatGPT's responses to 60 questions asked in triplicate to assess. Despite some variation in wording, all responses to the same prompt were consistent across different sessions. ChatGPT's responses to 63.4% of the questions (38 out of 60 questions) were appropriate, 33.3% (20 out of 60 questions) were inappropriate and 3.3% unreliable (2 out of 60 questions). Of the 180 prompt entries into ChatGPT, 141 (78.3%) were correct, 28 (15.5%) were hedging or indeterminate responses that could not be binarized into a correct or incorrect response, and 11 (6.1%) were incorrect. There were consistent themes in incorrect or hedging responses by ChatGPT, with 91% and 79% of incorrect and hedging responses related to a cardiovascular disease disparity that affects a minority or underserved racial group. Conclusion Our study showed that an online chat-based AI model has a broad knowledge of CVD racial disparities, however persistent gaps in knowledge about minority groups. Given that these models might be used by the general public, caution should be advised in taking responses at face value.

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Racial and Ethnic Disparities in the Trends and Outcomes of Cardiogenic Shock Complicating Peripartum Cardiomyopathy

Cited by 9 publications

References 51 publications

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

Cardiomyopathies in Women

Racial Disparities in Knowledge of Cardiovascular Disease by a Chat-Based Artificial Intelligence Model

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