非 ST 段抬高型急性冠状动脉综合征患者左室压力-应变环路与严重程度的相关性及其在短期预后评估中的应用价值

Jia Hu, Hongling Ran, Xi Zeng, Zhe-Yuan Zhang, Xinchun Yuan
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All sufferers underwent noninvasive LV-PSL construction by using cuff blood pressure as the left ventricular pressure before coronary angiography, and the resulting images were imported and analysed with offline analysis software to obtain global longitudinal strain (GLS), global work index (GWI), global constructive work (GCW), global wasted work (GWW) and global work efficiency (GWE). The correlation between severity Gensini score and myocardial work (MW) parameters was identified through Spearman analysis. Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off values for predicting coronary stenosis, and logistic regression analysis was used to identify independent factors affecting left ventricular myocardial function in sufferers of NSTE-ACS. The occurrence of adverse cardiac events during the follow-up period was recorded. Results Through the comparative analysis of general clinical data, significant differences were found between the stenosis and nonstenosis groups in terms of gender, hyperlipidaemia, hypertension and smoking. However, statistical difference was observed only for hypertension (stenosis group 54.2%; p < 0.05) and hypercholesterolaemia (stenosis group 53.5%; p < 0.05). GLS (tz value 3.063), GCW (tz value 11.494), GWI (tz value 9.627) and GWE (tz value 12.780) reduced and GWW (tz value 11.504) increased in the stenosis group compared with those in the nonstenosis group. All differences were statistically significant (all p < 0.05). Severity Gensini scores were negatively correlated with GLS, GCW, GWI and GWE but positively correlated with GWW (p < 0.001). The ROC curve and univariate and multivariate logistic regression analyses revealed that GWE (odds ratio (OR) 2.881; 95% confidence internal (95% CI) 2.176–3.816; p < 0.001) had the largest area under the curve and greatest sensitivity for coronary stenosis diagnosis. GWE was (OR 2.875; 95% CI 2.217–3.727; p < 0.001) and (OR 2.881; 95% CI 2.176–3.816; p < 0.001). During an average follow-up period of 26.7 months, 19 sufferers experienced adverse cardiac events. GWE exhibited high predictive ability for identifying such events. Conclusions Noninvasive LV-PSL can identify whether sufferers of NSTE-ACS have acute coronary stenosis regardless of the location or size of the stenosis and can detect varying degrees of left ventricular dysfunction in such sufferers. 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引用次数: 0

摘要

目的 探讨非侵入性左心室压力-应变环(LV-PSL)对评估有或无冠状动脉狭窄的非ST段抬高急性冠状动脉综合征(NSTE-ACS)患者整体心肌功能的诊断价值。这项研究的结果可为 NSTE-ACS 的诊断和管理提供启示。方法 纳入南昌大学第一附属医院在2019年6月至2021年6月期间接收的所有268名NSTE-ACS患者。将冠状动脉造影单支或多支冠状动脉外径狭窄≥70%的患者定义为狭窄组。所有患者在冠状动脉造影前均以袖带血压作为左心室压力进行无创 LV-PSL 构建,导入图像并使用离线分析软件进行分析,以获得全局纵向应变(GLS)、全局做功指数(GWI)、全局建设性做功(GCW)、全局浪费做功(GWW)和全局做功效率(GWE)。通过斯皮尔曼分析确定了严重程度 Gensini 评分与心肌工作(MW)参数之间的相关性。通过接收者操作特征(ROC)曲线分析确定了预测冠状动脉狭窄的最佳临界值,并通过逻辑回归分析确定了影响 NSTE-ACS 患者左心室心肌功能的独立因素。并记录了随访期间不良心脏事件的发生情况。结果 通过对一般临床数据的比较分析,发现狭窄组和非狭窄组在性别、高脂血症、高血压和吸烟方面存在显著差异。然而,只有高血压(狭窄组为 54.2%;P < 0.05)和高胆固醇血症(狭窄组为 53.5%;P < 0.05)存在统计学差异。与非狭窄组相比,狭窄组的 GLS(tz 值 3.063)、GCW(tz 值 11.494)、GWI(tz 值 9.627)和 GWE(tz 值 12.780)降低,GWW(tz 值 11.504)升高。所有差异均具有统计学意义(P 均小于 0.05)。严重程度 Gensini 评分与 GLS、GCW、GWI 和 GWE 呈负相关,但与 GWW 呈正相关(P < 0.001)。ROC 曲线以及单变量和多变量逻辑回归分析显示,GWE(赔率比 (OR) 2.881;95% 置信区间 (95% CI) 2.176-3.816;p < 0.001)的曲线下面积最大,对冠状动脉狭窄诊断的敏感性最高。GWE为(OR 2.875;95% CI 2.217-3.727;p < 0.001)和(OR 2.881;95% CI 2.176-3.816;p < 0.001)。在平均 26.7 个月的随访期间,19 名患者发生了不良心脏事件。GWE 对识别此类事件具有很高的预测能力。结论 无创 LV-PSL 可以识别 NSTE-ACS 患者是否患有急性冠状动脉狭窄,而不论狭窄的位置或大小,并能检测出此类患者不同程度的左心室功能障碍。在各种指标中,GWE 对诊断患有冠状动脉狭窄的 NSTE-ACS 患者的诊断效率最高,对不良心脏事件的预测能力也最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation between Left Ventricular Pressure–Strain Loop and Severity in Patients with Non-ST-Segment Elevation Acute Coronary Syndrome and Its Application Value in Short-Term Prognosis Evaluation
Purpose To investigate the diagnostic value of nonintrusive left ventricular pressure–strain loop (LV-PSL) for assessing overall myocardial function in sufferers with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) with or without coronary stenosis. The results of this research might provide insights into the diagnosis and management of NSTE-ACS. Methods All 268 sufferers with NSTE-ACS who were received by the First Affiliated Hospital of Nanchang University between June 2019 and June 2021 were enrolled. Sufferers with single or multiple extramural coronary diameter stenosis ≥70% on coronary angiography were defined as the stenosis group. All sufferers underwent noninvasive LV-PSL construction by using cuff blood pressure as the left ventricular pressure before coronary angiography, and the resulting images were imported and analysed with offline analysis software to obtain global longitudinal strain (GLS), global work index (GWI), global constructive work (GCW), global wasted work (GWW) and global work efficiency (GWE). The correlation between severity Gensini score and myocardial work (MW) parameters was identified through Spearman analysis. Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off values for predicting coronary stenosis, and logistic regression analysis was used to identify independent factors affecting left ventricular myocardial function in sufferers of NSTE-ACS. The occurrence of adverse cardiac events during the follow-up period was recorded. Results Through the comparative analysis of general clinical data, significant differences were found between the stenosis and nonstenosis groups in terms of gender, hyperlipidaemia, hypertension and smoking. However, statistical difference was observed only for hypertension (stenosis group 54.2%; p < 0.05) and hypercholesterolaemia (stenosis group 53.5%; p < 0.05). GLS (tz value 3.063), GCW (tz value 11.494), GWI (tz value 9.627) and GWE (tz value 12.780) reduced and GWW (tz value 11.504) increased in the stenosis group compared with those in the nonstenosis group. All differences were statistically significant (all p < 0.05). Severity Gensini scores were negatively correlated with GLS, GCW, GWI and GWE but positively correlated with GWW (p < 0.001). The ROC curve and univariate and multivariate logistic regression analyses revealed that GWE (odds ratio (OR) 2.881; 95% confidence internal (95% CI) 2.176–3.816; p < 0.001) had the largest area under the curve and greatest sensitivity for coronary stenosis diagnosis. GWE was (OR 2.875; 95% CI 2.217–3.727; p < 0.001) and (OR 2.881; 95% CI 2.176–3.816; p < 0.001). During an average follow-up period of 26.7 months, 19 sufferers experienced adverse cardiac events. GWE exhibited high predictive ability for identifying such events. Conclusions Noninvasive LV-PSL can identify whether sufferers of NSTE-ACS have acute coronary stenosis regardless of the location or size of the stenosis and can detect varying degrees of left ventricular dysfunction in such sufferers. Amongst indices, GWE had the highest diagnostic efficiency for diagnosing sufferers of NSTE-ACS with coronary stenosis and highest predictive ability for adverse cardiac events.
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