10 GENDER MEDICINE Men are from Mars, women are from Venus Sex differences in imaging cardiovascular disease An interplanetary title for a quite down-to-earth topic: The sym- posium „Men are from Mars, women are from Venus“ at this year’s EACVI congress (European Association of Cardiovascular imaging) launched into the dif- ferences between the hearts of men and women. While the speakers could firmly establish that both sexes share the same home world, variations in their cardiac anatomy warrant a more gender-specific approach to im- aging. To this end, Patricia Ann Pellikka, MD, Professor of Car- diovascular Disease Clinical Re- search at Mayo Clinic in Ro- chester, Minnesota, went into detail on how aortic valve dis- ease presents differently in male and female patients, and why current guidelines put women at a clear disadvantage. The session title references John Gray’s relationship guide, but for Dr Pellikka, the distinctions be- tween men and women run deeper than the psychological level: ‘There are anatomic, physiologic and pa- thophysiologic differences be- tween the sexes that have im- plications for aortic valve disease, and for our role as imagers.’ For one, stenotic valve leaflets in women tend to have less calcifi- cation, but a higher degree of fi- brosis than men. Their aortic annu- lus is smaller, and their coronary height is lower. ‘Of course, this has implications for aortic valve pros- thetic sizing,’ the expert pointed out. ‘And, in the way of left ven- tricular remodeling, women are more apt to have hypertrophy that results in a narrowing of their left Pilot project g r u b i e r F m u i k n i l k s t ä t i s r e v i n U © ventricular cavity, as opposed to eccentric hypertrophy, which is more prevalent in men in aortic stenosis. Women also have more extracellular matrix and more myo- cytes will be found in men.’ But how do these changes affect disease progression? ‘Many studies have suggested that progression of aortic stenosis is similar in men and women, but a couple of recent CT studies suggest that once cal- cification is present, it may actually progress more rapidly in women.’ In higher age groups, the imbal- ance becomes even more pro- nounced: while for patients over 65, the ratio of men to women with aortic stenosis is already at 1 : 1,25, in the 85+ age group, it rises to 1 : 1,78. This imbalance can also work the other way around, for example with biscuspid aortic valve (BAV), a disease that affects men more than twice as often than women. In addition to differences in preva- lence of such conditions, symp- toms may also differ between the sexes, the expert stated. As BAV pa- tients, men typically present with aortic regurgitation, aortopathy, aortic dissection or endocarditis, while women are more often af- fected by aortic stenosis. ‘There is something about women that pre- vents their aorta from dilating, pre- sumably due to differences in the aortic wall.’ This is also reflected in altered hemodynamics, where women with severe aortic stenosis tend to have lower stroke volume, peak velocity, and aortic valve area, but higher left ventricular fill- ing pressure and E/e’ ratio. Guidelines geared towards male hearts However, current guidelines for valvular heart disease largely fail to factor in these differences, result- ing in women falling through the diagnostic cracks, Dr Pellikka warned: ‘These guidelines em- phasize the importance of peak velocity and mean systolic gradient in characterizing severe aortic ste- nosis. I think the valve area is something we need to particularly pay attention to in women. Be- cause of their lower stroke volume, they may not achieve the same gradient and peak velocity as men, even for severe aortic stenosis.’ Timing of intervention in chronic aortic stenosis currently depends on when a patient becomes symp- tomatic or presents with a high left ventricular end-systolic dimension (LVESD) – both parameters work against char- acteristics: ‘When we wait for the patient to be symptomatic, we may be waiting too long,’ the expert said. ‘In asymptomatic patients, if we fail to index for body surface area, women will tend to not qual- ify for surgery.’ cardiac female This puts female patients at a seri- ous disadvantage, as aortic valve surgical intervention (AVS) sig- nificantly improves survival in pa- tients with chronic aortic regurgi- tation ‘Women have a survival disadvantage in chronic AR – but if they do make it to sur- gery, they do just as well as men.’ (AR). Summarizing her presentation, Dr Pellikka urged her audience to be and anatomy aware of the sex differences in heart patho- physiology in women, which may impact progression of aortic valve disease and lead to undertreatment of female patients. ‘As imagers, we need to remember to index the left ventricular size, using either vol- umes or linear dimensions in aortic regurgitation,’ she added. ‘In aortic stenosis, remember to look care- fully at the aortic valve area, not just the peak velocity and mean gradient. Consider CT calcium scoring if the aortic stenosis sever- ity is uncertain.’ ■ Report: Wolfgang Behrends Patricia Ann Pellikka Patricia Ann Pellikka, MD, is Profes- sor of Cardiovascular Disease Clinical Research at Mayo Clinic in Rochester, Minnesota, USA. Her professional inter- ests include echocardiography, artificial intelligence, imaging, and stress test- ing, and their application to valvular heart disease, heart failure, carcinoid heart disease, and ischemic heart dis- ease. She is Editor-in-Chief at the Jour- nal of the American Society of Echocardiography and has contributed – often as first author – to numerous publications concerning the non-invas- ive detection of cardiovascular disease and timing of intervention. Early detection of heart attacks in women One of the most important AI health pilot projects for the early detection of heart attacks in women is launched. PwC Ger- many and Strategy& are col- laborating on the project with the Peter Osypka Heart Center Munich and the Technical Uni- versity of Munich under the pa- tronage of Judith Gerlach, Bavar- ian State Minister for Digital Affairs. The goal is to develop a forward-looking gender-specific AI application to detect gender- specific symptoms earlier and further reduce mortality from heart disease, especially among women. Until now, AI ap- plications have too often been fed with data that focus on male symptoms. For medicine in Bavaria – and prospectively also nationwide – the project aims to create added value in the form of insights and con- crete use cases that can be made available to research and science. This added value comes, for example, from best practices for the responsible use of AI, network building for future projects, devel- opment of new service offerings, scalability of applications – and, of course, the potential reduction of misdiagnosis of heart attacks. ‘This is a good example of how many of the challenges ahead are best met when different disciplines work together and human expert- ise is combined with pioneering technologies. We are therefore very excited about this pioneering col- laboration in an important field. AI can help to make it easier to col- lect, evaluate, objectify and specify health information – especially when it comes to gender-specific differences, which are very large in the prevention, diagnosis and treat- ment of cardiovascular diseases,’ explains Petra Justenhoven, spo- kesperson for the Management Board at PwC Germany. the and Gender Health Gap: Women at a dis- advantage in heart health Scientific studies show significant differences in women and men when it comes to the symptoms of heart disease cor- responding treatment: for example, the symptoms for a heart attack are much less clear-cut in women than in men. Severe chest pain that can radiate to various parts of the body – a typical indication of a heart at- tack in men – is less evident in women. Rather, many women are more likely to report feelings of pressure or tightness in the chest. As a result, many of these com- plaints may not be interpreted cor- rectly and quickly enough, and women may undergo adequate di- agnosis later than men. Incorrect or delayed diagnosis and the re- sulting ineffective treatment mass- ively increase the likelihood that cardiovascular diseases in women will take an unfavorable, in the worst case fatal, course. Women are also less likely to receive inter- ventional treatments and rehabili- tation measures than men. As a re- sult, the mortality rate among men has fallen much more sharply than among women in recent decades. ‘With cardiovascular disease being the leading cause of death in Ger- many, it is overdue to use ways of AI to identify those people who have so far fallen through the screening grid. Women in par- ticular could benefit from the AI project now initiated, either to pre- vent them from suffering cardiov- ascular disease or so that an exist- ing condition can be treated more quickly and in a more targeted manner,’ said PD Dr. med. Clemens Jilek, Senior Physician for Cardio- logy and Electrophysiology at the Peter Osypka Heart Center Mu- nich. An interdisciplinary team from re- search, clinical medicine, artificial intelligence and trustworthiness as well as innovation and strategy consulting has been assembled for the project. Over the next two years, they will develop – together with other partners – a scalable AI model. ■ Source: PwC EUROPEAN HOSPITAL Vol 32 Issue 03-04/23