Intraoperative Course of Left Ventricular Diastolic Strain in Surgical Valve Replacement for Severe Aortic Valve Stenosis.

Ann Card Anaesth

Department of Anesthesiology and Intensive Care Medicine, Heart Center, University Hospital of Cologne, and Faculty of Medicine, University of Cologne, Cologne, Germany.

Published: July 2025


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Article Abstract

Purpose: Assessment of LV diastolic dysfunction (LVDD) poses challenges due to the dynamic changes of loading conditions in the perioperative course. Diastolic strain-based measures showed to be less load dependent, but data in aortic valve replacement (AVR) surgery remains sparse to date. Therefore, we aimed to explore the feasibility to assess these measurements and to describe the intraoperative course in this patient population.

Methods: Prospective observational study including 30 adult patients. Intraoperative transesophageal echocardiography (TEE) was performed after induction of anesthesia [T1], after termination of cardiopulmonary bypass [T2], and after sternal closure [T3]. TEE assessment included the evaluation of peak longitudinal strain rate during isovolumetric relaxation (SR-IVR), early (SR-E) and late (SR-A) LV filling, as well as of conventional echocardiographic measurements and LVDD grading algorithms.

Results: Diastolic strain analysis was feasible in 27 (90%) AVR patients at all time points of assessment. LV diastolic strain improved significantly after AVR [T1 vs T3] as measured by SR-IVR (0.31 s-1 (IQR 0.22; 0.38) vs. 0.4 s-1 (IQR 0.33; 0.43); P = 0.01), SR-E (1.13 s-1 (IQR 0.89;1.28) vs. 1.35 s-1 (IQR 1.10;1.52); P = 0.035), and E/SR-IVR (2.2 m (IQR 1.7;2.8) vs. 1.6 m (IQR 1.3;2.2); P = 0.013). In contrast, conventional echocardiographic measurements and grading algorithms were not able to detect these changes in the same period.

Conclusion: Assessment of LV diastolic strain was feasible in our group of selected AVR patients. LV relaxation and filling improved during the intraoperative course of AVR as measured by diastolic strain, while most conventional grading algorithms were not able to detect these alterations.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12324755PMC
http://dx.doi.org/10.4103/aca.aca_246_24DOI Listing

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