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Zimmerli, Aurelia; Liabot, Quentin; Tzimas, Georgios; Akodad, Mariama; Salihu, Adil; Weerts, Victor; Antiochos, Panagiotis; Sellers, Stephanie; Monney, Pierre; Muller, Olivier; Fournier, Stephane; Meier, David

Multidisciplinary Digital Publishing Institute

Aortic stenosis (AS) is a progressive form of valvular heart disease most commonly associated with aging, with an exponential increase in prevalence after age 50. While men have historically been considered at higher risk, recent studies highlight a similar prevalence between men and women, with a higher prevalence in elderly women driven by longer life expectancy. Sex-related differences in clinical presentation, anatomy, and pathophysiology influence disease progression, severity assessment, and management. Women are often diagnosed at more advanced stages, exhibiting more pronounced symptoms, typically dyspnea and functional impairment, whereas men more often report chest pain. Women have a smaller body surface area, leading to smaller aortic annuli, left ventricular outflow tracts, aortic roots impacting flow dynamic, and severity grading. Diagnostic challenge contributes to the undertreatment of women. Despite experiencing severe AS, women receive fewer interventions and face delays in treatment. The advent of transcatheter aortic valve implantation (TAVI) improved outcomes, with studies suggesting a potential advantage in women compared to men. However, the anatomical differences, such as smaller annuli and more tortuous vascular access, necessitate tailored procedural approaches. Recognizing these sex-specific differences is essential to optimizing AS management, ensuring timely interventions, and improving patient outcomes. Future strategies should incorporate sex-specific thresholds for diagnosis and treatment while leveraging technological advancements, such as artificial intelligence, for personalized therapeutic decisions.

Article

eng

Vancouver : University of British Columbia Library

10.14288/1.0448899

Medicine, Faculty of; Non UBC

10.3390/jcm14082691

Faculty; Researcher

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