Joseph Okafor, Alessia Azzu, Raheel Ahmed, Shreya Ohri, Kshama Wechalekar, Athol U Wells, John Baksi, Rakesh Sharma, Dudley J Pennell, Roxy Senior, Peter Collins, Thomas Luescher, Vasilis Kouranos, Raj Khattar
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引用次数: 0
Abstract
Background: Echocardiography, cardiac magnetic resonance and cardiac 18fluorodeoxyglucose positron emission tomography (FDG-PET) imaging play key roles in the diagnosis and management of cardiac sarcoidosis (CS), but the relative value of each modality in predicting outcomes has yet to be determined. This study sought to determine the prognostic importance of multimodality imaging data over and above demographic characteristics and left ventricular ejection fraction (LVEF).
Methods: Consecutive patients newly diagnosed with CS were included. Parameters evaluated included echocardiographic regional wall motion abnormality (RWMA), myocardial strain, LVEF, right ventricular ejection fraction (RVEF), late gadolinium enhancement (LGE) extent, SUVmax and RV FDG uptake. The primary endpoint was a composite of all-cause mortality and serious ventricular arrhythmia.
Results: The study population consisted of 208 patients with mean age of 55±13 years and LVEF of 55±12%. During a median follow-up period of 46 (IQR: 18-55) months, 14 patients died and 28 suffered serious ventricular arrhythmias. On multivariable analysis, RWMA (HR for RWMA presence 2.55, 95% CI 1.27 to 5.28, p=0.008), LGE extent (HR per 1% increase 1.02, 95% CI 1.00 to 1.04, p=0.018), RVEF (HR per 1% decrease 0.97, 95% CI 0.94 to 0.99, p=0.008) and RV FDG uptake (HR for RV FDG presence 2.48, 95% CI 1.15 to 5.33, p=0.020) were independent predictors of the primary endpoint, while LVEF was not predictive. The risk of adverse events was significantly greater in those with LGE extent ≥15% (HR for ≥15% presence 3.96, 95% CI 2.17 to 7.23, p<0.001).
Conclusion: In our CS population, RWMA, LGE extent, RVEF and RV FDG uptake were strong independent predictors of an adverse outcome. These findings offer an important insight into the key multimodality imaging parameters that may be used in a future risk stratification model of patients with CS.
期刊介绍:
Open Heart is an online-only, open access cardiology journal that aims to be “open” in many ways: open access (free access for all readers), open peer review (unblinded peer review) and open data (data sharing is encouraged). The goal is to ensure maximum transparency and maximum impact on research progress and patient care. The journal is dedicated to publishing high quality, peer reviewed medical research in all disciplines and therapeutic areas of cardiovascular medicine. Research is published across all study phases and designs, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Opinionated discussions on controversial topics are welcomed. Open Heart aims to operate a fast submission and review process with continuous publication online, to ensure timely, up-to-date research is available worldwide. The journal adheres to a rigorous and transparent peer review process, and all articles go through a statistical assessment to ensure robustness of the analyses. Open Heart is an official journal of the British Cardiovascular Society.