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Sex-specific Evaluation of Ventricular Ejection Fraction and End-Systolic Volume Applied to Cardiac Resynchronization Therapy
Conference proceeding   Open access   Peer reviewed

Sex-specific Evaluation of Ventricular Ejection Fraction and End-Systolic Volume Applied to Cardiac Resynchronization Therapy

Peter L. M. Kerkhof, Rienzi A. Diaz-Navarro, Guy R. Heyndrickx, John K-J Li and Neal Handly
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, v 2023, pp 1-4
01 Jan 2023
PMID: 38083207
url
https://pure.amsterdamumc.nl/en/publications/26fac3d4-e150-448c-8c31-c7a4707c8afdView
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Abstract

Computer Science, Artificial Intelligence Computer Science, Interdisciplinary Applications Engineering, Biomedical Science & Technology Computer Science Engineering Technology
Cardiac resynchronization therapy (CRT) can decrease the risk of heart failure (HF) events in relatively asymptomatic patients with a reduced ejection fraction (EF) and wide QRS complex. However, individual response to this type of therapy varies widely. Often based on either EF increase or end-systolic volume (ESV) decrease as criterion, a subgroup of super-responders has been described. Therefore, it is important to determine factors that can predict a favorable response and identify those patients who may benefit from CRT. With this goal in mind we explored the possible role of ESV. To improve insight in ventricular pump function we previously introduced the volume regulation graph ( VRG), relating ESV to end-diastolic volume (EDV). An individual patient is uniquely defined by the prevailing working point in the volume domain. The traditional metric EF can be graphically derived for each working point. The nonlinear association between EF and ESV is given by EF = 1 + gamma {ESV / (delta - ESV)}, with empirical constants gamma and delta. The impact of CRT super-responders on EF can be evaluated, taking into account sex-specific ESV values. Based on available regression equations we modeled the impact on EF (as percent points) resulting from CRT-induced fractional ESV changes expressed as % of baseline ESV. Our analysis confirms clinical findings, indicating that CRT super-responders are likely to be women, and clarify why a specific reduction of ESV cannot be directly translated into EF improvement. We propose that the EF as CRT criterion should be abandoned and replaced by sex-specific ESV evaluations.

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Collaboration types
Domestic collaboration
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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Engineering, Biomedical
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