Independent Prognostic Value of Stroke Volume Index in Patients With Immunoglobulin Light Chain Amyloidosis

Paolo Milani1,2, Angela Dispenzieri3, Christopher G Scott4

  • 1Division of Hematology, Department of Internal Medicine (P.M., A.D., M.A.G., M.Q.L., F.K.B., S.K., S.R.H., N.L., D.D., J.A.L. Y.L., P.K., R.S.G., Y.L.H., S.R.Z., R.A.K., S.V.R.).

Insights

Stroke volume index (SVI) and left ventricular strain are key echocardiographic predictors of survival in AL amyloidosis. SVI is a practical measure for predicting outcomes in these patients, independent of biomarker staging.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Oncology

Background:

  • Cardiac involvement significantly impacts prognosis in AL amyloidosis.
  • Echocardiography is crucial for diagnosing AL amyloidosis and assessing cardiac function.
  • Prognostic stratification in AL amyloidosis relies heavily on cardiac assessment.

Purpose of the Study:

  • To evaluate the prognostic value of echocardiographic variables in AL amyloidosis patients.
  • To explore the role of stroke volume (SV) and left ventricular strain in predicting survival.
  • To compare echocardiographic predictors with established biomarker staging systems.

Main Methods:

  • Analysis of echocardiographic data from 754 AL amyloidosis patients.
  • Inclusion of Doppler-derived stroke volume (SV) measurements within 30 days of diagnosis.
  • Assessment of reproducibility of SV, myocardial contraction fraction, and left ventricular strain in a separate cohort.

Main Results:

  • SV index <33 mL/min, myocardial contraction fraction <34%, and cardiac index <2.4 L/min/m² were highly predictive of survival.
  • Left ventricular strain of -14% also demonstrated significant prognostic value.
  • These echocardiographic parameters were independent of systolic blood pressure, Mayo staging system, and ejection fraction.

Conclusions:

  • SV index and left ventricular strain show comparable prognostic performance in AL amyloidosis.
  • SV index is a readily available and reliable echocardiographic measure for predicting survival.
  • Integrating SV index into predictive models can enhance prognostic accuracy for AL amyloidosis patients.
Abstract

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