心脏交感神经活动与致死性心律失常事件:123I-甲基碘苄胍活性与事件发生率之间的钟形关系。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-07-21 DOI:10.1186/s13550-024-01131-4
Kenichi Nakajima, Tomoaki Nakata, Takahiro Doi, Derk O Verschure, Viviana Frantellizzi, Maria Silvia De Feo, Hayato Tada, Hein J Verberne
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引用次数: 0

摘要

背景:123I-甲基碘苄基胍(mIBG)已被应用于慢性心力衰竭(CHF)患者。然而,123I-mIBG 活性与致死性心律失常事件(ArE)之间的关系尚未明确。本研究旨在确定日本和欧洲队列中的这种关系:结果:我们使用平面 123I-mIBG 成像计算了 827 例患者的心脏-纵隔(H/M)计数比和洗脱率(WR)。我们将 ArE 定义为心脏性猝死、心律失常性死亡和潜在的致命事件,如持续性室性心动过速、心脏骤停后的复苏和适当的植入式心脏复律除颤器 (ICD) 放电,无论是单个 ICD 还是作为心脏再同步化治疗设备 (CRTD) 的一部分。我们分析了日本(J;n = 581)和欧洲(E;n = 246)队列中 ArE 的发生率与 H/M 比率、WRs 和纽约心脏协会(NYHA)功能分级的关系。我们还利用包含 13 个临床变量的机器学习模型模拟了特定条件下 ArE 率与 H/M 比率的关系。J 组选择了连续的 CHF 患者,而 E 组则包括心脏电子设备的候选者。J 组和 E 组的大多数患者分别属于 NYHA 功能分级 I/II 级(95%)和 II/III 级(91%),分别有 21% 和 72% 的患者植入了 ICD/CRTD 设备。这种钟形曲线在 J 组和 E 组的 NYHA 分级为 II/III 级的患者中也很明显,尤其是在 mIBG WR 高(> 15%)和缺血性患者中,但在非缺血性病因患者中并不明显。基于机器学习的 ArE 风险预测与这些发现一致,在 NYHA II/III 级中显示出钟形曲线,而在 I 级中则没有:结论:心脏 123I-mIBG 活性与致死性心律失常事件之间的关系受患者背景的影响。在 NYHA II/III 级、高 WR 和缺血性病因中的钟形关系可能有助于识别 ArEs 的高风险患者。
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Cardiac sympathetic activity and lethal arrhythmic events: insight into bell-shaped relationship between 123I-meta-iodobenzylguanidine activity and event rates.

Background: 123I-meta-iodobenzylguanidine (mIBG) has been applied to patients with chronic heart failure (CHF). However, the relationship between 123I-mIBG activity and lethal arrhythmic events (ArE) is not well defined. This study aimed to determine this relationship in Japanese and European cohorts.

Results: We calculated heart-to-mediastinum (H/M) count ratios and washout rates (WRs) of 827 patients using planar 123I-mIBG imaging. We defined ArEs as sudden cardiac death, arrhythmic death, and potentially lethal events such as sustained ventricular tachycardia, cardiac arrest with resuscitation, and appropriate implantable cardioverter defibrillator (ICD) discharge, either from a single ICD or as part of a cardiac resynchronization therapy device (CRTD). We analyzed the incidence of ArE with respect to H/M ratios, WRs and New York Heart Association (NYHA) functional classes among Japanese (J; n = 581) and European (E; n = 246) cohorts. We also simulated ArE rates versus H/M ratios under specific conditions using a machine-learning model incorporating 13 clinical variables. Consecutive patients with CHF were selected in group J, whereas group E comprised candidates for cardiac electronic devices. Groups J and E mostly comprised patients with NYHA functional classes I/II (95%) and II/III (91%), respectively, and 21% and 72% were respectively implanted with ICD/CRTD devices. The ArE rate increased with lower H/M ratios in group J, but the relationship was bell-shaped, with a high ArE rate within the intermediate H/M range, in group E. This bell-shaped curve was also evident in patients with NYHA classes II/III in the combined J and E groups, particularly in those with a high (> 15%) mIBG WR and with ischemic, but not in those with non-ischemic etiologies. Machine learning-based prediction of ArE risk aligned with these findings, indicating a bell-shaped curve in NYHA class II/III but not in class I.

Conclusions: The relationship between cardiac 123I-mIBG activity and lethal arrhythmic events is influenced by the background of patients. The bell-shaped relationship in NYHA classes II/III, high WR, and ischemic etiology likely aids in identifying patients at high risk for ArEs.

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