Left Ventricular Hemodynamic Forces Changes in Fabry Disease: A Cardiac Magnetic Resonance Study

Jialin Li1, Shichu Liang1, Ziqian Xu2

  • 1Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Insights

Hemodynamic force (HDF) analysis using cardiac MRI reveals increased systolic impulse in Fabry disease (FD) patients, even before left ventricular hypertrophy develops. This finding suggests HDF may serve as an early diagnostic and monitoring tool for FD progression.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biophysics

Background:

  • Hemodynamic force (HDF) derived from cardiac MRI can detect subclinical myocardial dysfunction and early cardiac changes in Fabry disease (FD).
  • The specific hemodynamic alterations in FD patients remain incompletely understood.

Purpose of the Study:

  • To investigate HDF changes in FD patients.
  • To evaluate the potential of HDF measurements as diagnostic markers for early cardiac alterations in FD.

Main Methods:

  • A prospective, observational study involving 46 FD patients and 46 healthy controls (HCs).
  • Cardiac MRI was performed using 3T, including cine imaging for HDF analysis, late gadolinium enhancement (LGE), and T1 mapping.
  • HDF parameters such as systolic impulse and global longitudinal strain were assessed and correlated with disease severity (Mainz Severity Score Index - MSSI).

Main Results:

  • FD patients exhibited significantly lower native T1 values and higher systolic impulse compared to HCs.
  • Elevated systolic impulse was observed even in the pre-hypertrophic stage of FD.
  • Increased myocardial global longitudinal strain and systolic impulse positively correlated with higher MSSI scores.

Conclusions:

  • Increased systolic impulse and systolic peak are characteristic hemodynamic changes in FD patients.
  • Systolic impulse demonstrates potential as a screening tool for pre-left ventricular hypertrophy (LVH) FD patients.
  • Systolic impulse is a promising image-based marker for diagnosing and monitoring disease severity in FD.
Abstract