Holter Monitoring and Cardiac Biomarkers in Screening for Cardiac Sarcoidosis.

Autor: Bakker, A. L. M., Mathijssen, H., Huitema, M. P., Kapteijns, L., Grutters, J. C., Veltkamp, M., Keijsers, R. G., Akdim, F., van Es, H. W., Peper, J., Post, M. C.
Zdroj: Lung; 2025, Vol. 203 Issue 1, p1-11, 11p
Abstrakt: Introduction: Early detection of cardiac sarcoidosis (CS) is crucial due to its association with severe complications such as ventricular arrhythmias, heart failure, and sudden cardiac death. Advanced imaging techniques like cardiac magnetic resonance imaging (CMR) and 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG-PET/CT) are effective in detecting CS but not easily accessible. The optimal method for selecting patients for advanced screening remains uncertain. Methods: In this retrospective cohort study, all extracardiac sarcoidosis patients screened for CS were reviewed. CS was defined as a multidisciplinary team (MDT) consensus diagnosis. Univariate and multivariate binary logistic regressions were used to identify factors associated with CS, assessing their diagnostic performance, and integrating them into a diagnostic model. Results: Out of 354 patients (average age 51.5 years, 52.5% male), 18.4% were diagnosed with CS. In our cohort, male gender, a QRS duration > 120 ms, and nsVT on Holter monitoring were identified as significant markers associated with CS. Combining age, gender, AV-block or QRS > 120ms on ECG, and nsVT on Holter monitoring provided the highest diagnostic accuracy (AUC of 0.82). Cardiac biomarkers NT-proBNP and troponin T did not improve the diagnostic performance. Conclusion: In our cohort, male gender, a QRS duration > 120 ms, and nsVT on Holter monitoring were identified as significant markers associated with the presence of cardiac sarcoidosis. These clinical markers may aid in selecting sarcoidosis patients for screening with advanced cardiac imaging, potentially leading to earlier detection and management of the disease. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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