Title: A Proposed Approach for the Management of Diastolic Dysfunction: Optimization of the E and A Wave Measurement, Morphology and Timing
Much focus over the past few decades has been on the systolic phase of the cardiac cycle, yet it is becoming evident that more advanced therapies are warranted for the clinical management of heart failure, specifically diastolic dysfunction. A novel optimized approach in evaluating and managing diastolic dysfunction/ heart failure is required to evaluate and treat cardiac dysfunction. The proposed measures include the evaluation of the baseline functionality of the cardiac conduction system, Baseline E and A wave Measurement and Morphology (BEAMM) and STRess-induced E and A wave Measurement and Morphology (STREAMM) with timing and variability taking into consideration of both macro and micro diastolic myocardial processes. Implementation of a management plan that includes echocardiographic optimization (ECHO-Op) and pharmaceutical optimization (PharmOp) into the current guideline recommendations for the evaluation and management of diastolic dysfunction/ heart failure is an additional goal. Clinical adoption of the proposed approach may lead to earlier identification of patients at risk of diastolic dysfunction/ heart failure as well as other associated cardiac symptoms and downstream pathological processes.
John R. Dylewski, MD, FHRS, FACPAS is a cardiac electro physiologist and professor of medicine in active clinical practice for the last 20+ years with an extensive and diversified background in materials engineering and medical applications of artificial intelligence to improve healthcare delivery. With the abundance of valuable data generated for patient care and the continuous production of scientific knowledge, Dr. Dylewski found it significantly challenging to deliver accurate, up-to-date and expeditious care to his tens of thousands of patients resulting in the development of the Complaint2Care model for a novel healthcare delivery platform, LifeSaver, powered by Apollo Artificial Intelligence.