Ferdinand, Keith C.

Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for improving the diagnosis and management of hypertension. AI technologies, including machine learning tools, could alter the way we diagnose and manage hypertension, with potential impacts for improving individual and population health. The development of successful AI tools in public health and health care systems requires diverse types of expertise with collaborative relationships between clinicians, engineers, and data scientists. Unbiased data sources, management, and analyses remain a foundational challenge. From a diagnostic standpoint, machine learning tools may improve the measurement of blood pressure and be useful in the prediction of incident hypertension. To advance the management of hypertension, machine learning tools may be useful to find personalized treatments for patients using analytics to predict response to antihypertension medications and the risk for hypertension-related complications. However, there are real-world implementation challenges to using AI tools in hypertension. Herein, we summarize key findings from a diverse group of stakeholders who participated in a workshop held by the National Heart, Lung, and Blood Institute in March 2023. Workshop participants presented information on communication gaps between clinical medicine, data science, and engineering in health care; novel approaches to estimating BP, hypertension risk, and BP control; and real-world implementation challenges and issues.

Even though it has been more than a decade since renal denervation (RDN) was first used to treat hypertension and an intense effort on researching this therapy has been made, it is still not clear how RDN fits into the antihypertensive arsenal. There is no question that RDN lowers blood pressure (BP), it does so to an extent at best corresponding to one antihypertensive drug. The procedure has an excellent safety record. However, it remains clinically impossible to predict whose BP responds to RDN and whose does not. Long-term efficacy data on BP reduction are still unconvincing despite the recent results in the SPYRAL HTN-ON MED trial; experimental studies indicate that reinnervation is occurring after RDN. Although BP is an acceptable surrogate endpoint, there is complete lack of outcome data with RDN. Clear indications for RDN are lacking although patients with resistant hypertension, those with documented increase in activity of the sympathetic system and perhaps those who desire to take fewest medication may be considered.

Following decades of decline, maternal mortality began to rise in the United States around 1990—a significant departure from the world’s other affluent countries. By 2018, the same could be seen with the maternal mortality rate in the United States at 17.4 maternal deaths per 100 000 live births. When factoring in race/ethnicity, this number was more than double among non-Hispanic Black women who experienced 37.1 maternal deaths per 100 000 live births. More than half of these deaths and near deaths were from preventable causes, with cardiovascular disease being the leading one. In an effort to amplify the magnitude of this epidemic in the United States that disproportionately plagues Black women, on June 13, 2020, the Association of Black Cardiologists hosted the Black Maternal Heart Health Roundtable—a collaborative task force to tackle the maternal health crisis in the Black community. The roundtable brought together diverse stakeholders and champions of maternal health equity to discuss how innovative ideas, solutions and opportunities could be implemented, while exploring additional ways attendees could address maternal health concerns within the health care system. The discussions were intended to lead the charge in reducing maternal morbidity and mortality through advocacy, education, research, and collaborative efforts. The goal of this roundtable was to identify current barriers at the community, patient, and clinician level and expand on the efforts required to coordinate an effective approach to reducing these statistics in the highest risk populations. Collectively, preventable maternal mortality can result from or reflect violations of a variety of human rights—the right to life, the right to freedom from discrimination, and the right to the highest attainable standard of health. This is the first comprehensive statement on this important topic. This position paper will generate further research in disparities of care and promote the interest of others to pursue strategies to mitigate maternal mortality.

The use of pulse wave analysis may guide the provider in making choices about blood pressure treatment in prehypertensive or hypertensive patients. However, there is little clinical guidance on how to interpret and use pulse wave analysis data in the management of these patients. A panel of clinical researchers and clinicians who study and clinically use pulse wave analysis was assembled to discuss strategies for using pulse wave analysis in the clinical encounter. This manuscript presents an approach to the clinical application of pulse waveform analysis, how to interpret central pressure waveforms, and how to use existing knowledge about the pharmacodynamic effect of antihypertensive drug classes in combination with brachial and central pressure profiles in clinical practice. The discussion was supplemented by case‐based examples provided by panel members, which the authors hope will provoke discussion on how to understand and incorporate pulse wave analysis into clinical practice.