Cardiac involvement in patients with rheumatic disorders: Data of the RHEU-M(A)R study

Simon Greulich1, Daniel Kitterer2, Reto Kurmann3

  • 1Division of Cardiology, Robert-Bosch-Medical Center, Stuttgart, Germany.

Insights

Cardiac involvement varies significantly across rheumatic disorders, with ANCA-associated vasculitis showing the highest prevalence. Late gadolinium enhancement-cardiac magnetic resonance imaging (LGE-CMR) reveals distinct LGE patterns for each rheumatic condition.

Area of Science:

  • Cardiology
  • Rheumatology
  • Radiology

Background:

  • Diagnosing cardiac involvement in rheumatic disorders is challenging due to varied clinical presentations.
  • Cardiac involvement can lead to significant treatment changes and adverse long-term outcomes, necessitating risk stratification.
  • Late gadolinium enhancement-cardiac magnetic resonance imaging (LGE-CMR) is a key tool for evaluating myocardial involvement.

Purpose of the Study:

  • To determine the prevalence of cardiac involvement in patients with various rheumatic disorders using LGE-CMR.
  • To investigate whether different rheumatic disorders exhibit distinct LGE patterns on cardiac MRI.
  • To aid in individual risk stratification for cardiac complications in rheumatic diseases.

Main Methods:

  • 297 patients with rheumatic disorders underwent LGE-CMR.
  • Patients were categorized into five subgroups: ANCA-associated vasculitis, non-ANCA-associated vasculitis, connective tissue disorders, arthritis, and sarcoidosis.
  • Cardiac involvement was defined by the presence of LGE in the myocardium.

Main Results:

  • The overall population had a mean ejection fraction of 65% and a mean age of 55 years.
  • Prevalence of cardiac involvement varied: ANCA-associated vasculitis (54%), non-ANCA-associated vasculitis (22%), connective tissue disorders (14%), arthritis (21%), and sarcoidosis (24%).
  • Distinct LGE patterns were observed across the five rheumatic disorder subgroups.

Conclusions:

  • Cardiac involvement prevalence ranges widely (14%-54%) among different rheumatic disorders.
  • Distinct LGE patterns associated with specific rheumatic disorders were identified.
  • LGE-CMR is valuable for assessing cardiac involvement and characterizing patterns in rheumatic diseases.
Abstract

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