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罪犯斑块内总脂质核心负担指数/最大脂质核心负担指数比值对预测滤器无再流的效用:来自血管内超声近红外光谱的观察。

The utility of total lipid core burden index/maximal lipid core burden index ratio within the culprit plaque to predict filter-no reflow: insight from near-infrared spectroscopy with intravascular ultrasound.

机构信息

Cardiology, Tachikawa General Hospital, 561-1 Jyojyomachi Aza Yauchi, Nagaoka, Japan.

出版信息

J Thromb Thrombolysis. 2018 Aug;46(2):203-210. doi: 10.1007/s11239-018-1697-z.

Abstract

Filter-no reflow (FNR) is a phenomenon wherein flow improves after the retrieve of distal protection. Near-infrared spectroscopy with intravascular ultrasound (NIRS-IVUS) enables lipid detection. We evaluated the predictors of FNR during PCI using NIRS-IVUS. Thirty-two patients who underwent PCI using the Filtrap® for acute coronary syndrome (ACS) were enrolled. The culprit plaque (CP) was observed using NIRS-IVUS. Total lipid-core burden index (T-LCBI) and maximal LCBI over any 4-mm segment (max-LCBI4mm) within CP were evaluated. T-LCBI/max-LCBI4mm ratio within CP was calculated as an index of the extent of longitudinal lipid expansion. The attenuation grade (AG) and remodeling index (RI) in CP were analyzed. AG was scored based on the extent of attenuation occupying the number of quadrants. The patients were divided into FNR group (N = 8) and no-FNR group (N = 24). AG was significantly higher in FNR group than in no-FNR group (1.6 ± 0.6 vs. 0.9 ± 0.42, p = 0.01). RI in FNR group tended to be greater than in no-FNR group. T-LCBI/max-LCBI4mm ratio within the culprit plaque was significantly higher in FNR group than in no-FNR group (0.50 ± 0.10 vs. 0.33 ± 0.13, p < 0.01). In multivariate logistic regression analysis, AG > 1.04 (odds ratio [OR] 18.4, 95% confidence interval [CI] 1.5-215.7, p = 0.02) and T-LCBI/max-LCBI4mm ratio > 0.42 (OR 14.4, 95% CI 1.2-176.8, p = 0.03) were independent predictors for the occurrence of FNR. The use of T-LCBI/max-LCBI4mm ratio within CP might be an effective marker to predict FNR during PCI in patients with ACS.

摘要

无复流(FNR)是指在取回远端保护装置后血流改善的现象。近红外光谱与血管内超声(NIRS-IVUS)可用于检测脂质。我们使用 NIRS-IVUS 评估了 PCI 过程中 FNR 的预测因素。共纳入 32 例因急性冠脉综合征(ACS)而行 PCI 的患者。使用 NIRS-IVUS 观察罪犯斑块(CP)。评估 CP 内的总脂质核心负荷指数(T-LCBI)和任何 4mm 节段内最大 LCBI(max-LCBI4mm)。计算 CP 内 T-LCBI/max-LCBI4mm 比值作为纵向脂质扩张程度的指标。分析 CP 内的衰减分级(AG)和重构指数(RI)。AG 根据占据象限数量的衰减程度进行评分。患者分为 FNR 组(N=8)和非 FNR 组(N=24)。FNR 组的 AG 明显高于非 FNR 组(1.6±0.6 vs. 0.9±0.42,p=0.01)。FNR 组的 RI 倾向于大于非 FNR 组。FNR 组 CP 内 T-LCBI/max-LCBI4mm 比值明显高于非 FNR 组(0.50±0.10 vs. 0.33±0.13,p<0.01)。在多变量逻辑回归分析中,AG>1.04(比值比[OR] 18.4,95%置信区间[CI] 1.5-215.7,p=0.02)和 T-LCBI/max-LCBI4mm 比值>0.42(OR 14.4,95%CI 1.2-176.8,p=0.03)是 FNR 发生的独立预测因素。CP 内 T-LCBI/max-LCBI4mm 比值的使用可能是预测 ACS 患者 PCI 中 FNR 的有效标志物。

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