Cardio-oncology & other

Electrocardiographic and Echocardiographic Markers of Atrial and Ventricular Remodeling Allow Identification of Cardiac Sarcoidosis

JACC Clin ElectrophysiolPublished prospective study of consecutive patients; diagnostic models constructed using univariable and multivariable logistic regression

Authors' conclusion

An exploratory multimodal, noninvasive approach integrating atrial and ventricular ECG and TTE markers provides high diagnostic accuracy for identifying CS and may serve as a pragmatic screening and triage tool to guide referral for advanced cardiac imaging. Clinical Trial Registration DRKS00031557 on drks.de (German Clinical Trials Register).

Study context

Population
Patients with biopsy-proven sarcoidosisconsecutive patients with biopsy-proven sarcoidosis
Participants
252 patients
Index test or model
Combined diagnostic model integrating electrocardiography (ECG) and TTE parameters vs cardiac sarcoidosis (CS) defined by characteristic findings on positron emission tomography-computed tomography (PET-CT) or cardiac magnetic resonance imaging
Target condition
Cardiac sarcoidosis (CS)
Methodological detailsexploratory
  • Exploratory

Performance

As reported in the abstract

Test or modelAUROC
ECG-based model0.87
TTE-based model0.87
Combined ECG/TTE model0.90

AUROC

ECG-based model0.87
TTE-based model0.87
Combined ECG/TTE model0.90

Further findings

Prevalence of CS

CS identified
37 (14.7%)

ECG markers independently associated with CS

Prolonged P-wave duration, prolonged QRS duration, and reduced T-wave amplitude in lead aVR independently associated with CS

TTE predictors of CS

Increased left atrial volume index, increased left ventricular end-diastolic diameter, and impaired left ventricular global longitudinal strain emerged as significant predictors

Original publication

Electrocardiographic and Echocardiographic Markers of Atrial and Ventricular Remodeling Allow Identification of Cardiac Sarcoidosis. JACC Clin Electrophysiol. Published 5 November 2026. doi:10.1016/j.jacep.2026.10.001

Composed by AI from the published abstract and checked against it. How Briefs are made →

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