Department of Echocardiography, Royal Brompton Hospital, London, UK
National Heart and Lung Institute, Imperial College London, London, UK.
Open Heart. 2024 Oct 27;11(2):e002989. doi: 10.1136/openhrt-2024-002989.
Echocardiography, cardiac magnetic resonance and cardiac fluorodeoxyglucose 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).
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.
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).
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.
超声心动图、心脏磁共振和心脏氟脱氧葡萄糖正电子发射断层扫描(FDG-PET)成像在心脏结节病(CS)的诊断和治疗中发挥着关键作用,但每种模态在预测结局方面的相对价值尚未确定。本研究旨在确定多模态成像数据在预测结局方面的重要性,超过人口统计学特征和左心室射血分数(LVEF)。
连续纳入新诊断为 CS 的患者。评估的参数包括超声心动图区域性壁运动异常(RWMA)、心肌应变、LVEF、右心室射血分数(RVEF)、晚期钆增强(LGE)程度、最大标准摄取值(SUVmax)和 RV FDG 摄取。主要终点是全因死亡率和严重室性心律失常的复合终点。
研究人群包括 208 名平均年龄为 55±13 岁、LVEF 为 55±12%的患者。在中位随访 46(IQR:18-55)个月期间,14 名患者死亡,28 名患者发生严重室性心律失常。多变量分析显示,RWMA(RWMA 阳性的 HR 为 2.55,95%CI 1.27 至 5.28,p=0.008)、LGE 程度(每增加 1%的 HR 为 1.02,95%CI 1.00 至 1.04,p=0.018)、RVEF(每减少 1%的 HR 为 0.97,95%CI 0.94 至 0.99,p=0.008)和 RV FDG 摄取(RV FDG 阳性的 HR 为 2.48,95%CI 1.15 至 5.33,p=0.020)是主要终点的独立预测因素,而 LVEF 则不是预测因素。LGE 程度≥15%(LGE 程度≥15%的 HR 为 3.96,95%CI 2.17 至 7.23,p<0.001)的患者发生不良事件的风险显著增加。
在我们的 CS 人群中,RWMA、LGE 程度、RVEF 和 RV FDG 摄取是不良结局的强独立预测因素。这些发现为心脏结节病患者未来的风险分层模型中可能使用的关键多模态成像参数提供了重要的见解。