Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy.
Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy.
Int J Cardiol. 2024 Mar 1;398:131599. doi: 10.1016/j.ijcard.2023.131599. Epub 2023 Nov 17.
Amyloid light-chain amyloidosis is a rare condition characterized by the abnormal production of immunoglobulin light chain that misshape and form amyloid fibrils. Over time, these amyloid deposits can accumulate slowly, causing dysfunction in organs and tissues. Early identification is crucial to ensure optimal treatment. We aim to identify a better marker of cardiac amyloidosis, using advanced echocardiography, to improve diagnosis and the timing of available treatments.
108 consecutive hematological patients (32, 30% female and 76, 70% male) with a plasma cell disorder referred to our Cardiological center underwent ECG, first and second-level echocardiography (Speckle Tracking) and complete biochemical profile. The best predictors of ALCA (AUC ≥ 0.8) were included in a further analysis stratified by AL score.
At ROC analysis, the best bio-humoral predictors for the diagnosis of ALCA were Nt-pro-BNP (AUC: 0.97; p < 0.01) and Hs-Tn (AUC: 0.87; p < 0.01). Regarding echocardiography, the best diagnostic predictors were left atrial stiffness (LAS) (AUC: 0.83; p < 0.01) for the left atrium; free wall thickness for the right ventricle (AUC: 0.82; <0.01); left ventricular global longitudinal strain (LVGLS) (AUC: 0.92; p < 0.01) and LVMi (AUC 0.80; p < 0.001) for the left ventricle; and AL-score (AUC 0.83 p < 0.01). In patients with AL-SCORE < 1, LAS (AUC 0.86 vs AUC 0.79), LVGLS (AUC 0.92 vs AUC 0.86) and LV mass (AUC 0.91 vs AUC 0.72) had better diagnostic accuracy than patients with higher AL-score (AL SCORE ≥ 1).
Multi-parametric imaging approach with LVGLS and LAS may be helpful for detecting early cardiac involvement in AL amyloidosis.
淀粉样轻链淀粉样变性是一种罕见的疾病,其特征是免疫球蛋白轻链异常产生,这些轻链发生变形并形成淀粉样纤维。随着时间的推移,这些淀粉样沉积物会缓慢积累,导致器官和组织功能障碍。早期识别对于确保最佳治疗至关重要。我们旨在使用先进的超声心动图来寻找更好的心脏淀粉样变性标志物,以改善诊断并为现有治疗提供时机。
108 例连续的血液系统疾病患者(32 名,30%为女性,76 名,70%为男性)因浆细胞疾病被转诊至我们的心脏科中心,接受了心电图、一级和二级超声心动图(斑点追踪)和完整的生化检查。在按 AL 评分分层的进一步分析中,纳入了最佳的 ALCA 预测因子(AUC≥0.8)。
在 ROC 分析中,用于诊断 ALCA 的最佳生物化学预测因子为 Nt-pro-BNP(AUC:0.97;p<0.01)和 Hs-Tn(AUC:0.87;p<0.01)。在超声心动图方面,左心房僵硬度(LAS)(AUC:0.83;p<0.01)是诊断左心房的最佳预测因子;右心室游离壁厚度(AUC:0.82;<0.01);左心室整体纵向应变(LVGLS)(AUC:0.92;p<0.01)和左心室质量指数(LVMi,AUC 0.80;p<0.001)是诊断左心室的最佳预测因子;AL 评分(AUC 0.83;p<0.01)。在 AL-SCORE<1 的患者中,LAS(AUC 0.86 与 AUC 0.79)、LVGLS(AUC 0.92 与 AUC 0.86)和 LV 质量(AUC 0.91 与 AUC 0.72)的诊断准确性优于 AL-SCORE 更高的患者(AL-SCORE≥1)。
使用 LVGLS 和 LAS 的多参数成像方法可能有助于检测 AL 淀粉样变性的早期心脏受累。