Why the study?
The exact biologic links between risk factors, structural changes, and clinical manifestations in HFpEF are not clearly apparent, prompting a focus on changes in cardiac mechanics from preclinical dysfunction to clinical disease.
Answers are grounded in this paper and cite their sources.
This review highlights the utility of innovative approaches like deformation imaging and predictive analytics to better understand the progression of cardiac mechanics from preclinical diastolic dysfunction to clinical HFpEF.
Heart failure with preserved ejection fraction (HFpEF) is a complex clinical entity associated with significant morbidity and mortality. Common comorbidities including hypertension, coronary artery disease, diabetes, chronic kidney disease, obesity, and increasing age predispose to preclinical diastolic dysfunction that often progresses to frank HFpEF. Clinical HFpEF is typically associated with some degree of diastolic dysfunction, but can occur in the absence of many conventional diastolic dysfunction indices. The exact biologic links between risk factors, structural changes, and clinical manifestations are not clearly apparent. Innovative approaches including deformation imaging have enabled deeper understanding of HFpEF cardiac mechanics beyond conventional metrics. Furthermore, predictive analytics through data-driven platforms have allowed for a deeper understanding of HFpEF phenotypes. This review focuses on the changes in cardiac mechanics that occur through preclinical myocardial dysfunction to clinically apparent HFpEF.
No takes yet. Share an insight, caveat, or question.
Seetharam et al. (2020) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: