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急性心肌梗死患者直接经皮冠状动脉介入治疗后无复流的预测列线图

A Prediction Nomogram for No-Reflow in Acute Myocardial Infarction Patients after Primary Percutaneous Coronary Intervention.

作者信息

Lou Bowen, Kan Kejia, Liu Hui, Feng Rilu, Zhang Xinyu, Yuan Zuyi, Zhang Lan, She Jianqing

机构信息

Cardiovascular Department, First Affiliated Hospital of Xi'an Jiaotong University, 710061 Xi'an, Shaanxi, China.

Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, 710061 Xi'an, Shaanxi, China.

出版信息

Rev Cardiovasc Med. 2024 Apr 30;25(5):151. doi: 10.31083/j.rcm2505151. eCollection 2024 May.

Abstract

BACKGROUND

The coronary no-reflow (NR) phenomenon is an independent predictor of major adverse cardiac events (MACEs). This study aimed to establish a clinical and comprehensive nomogram for predicting NR in acute myocardial infarction (AMI) patients after primary percutaneous coronary intervention (pPCI).

METHODS

The multivariable logistic regression analysis was performed to determine the NR-related factors. A nomogram was established via several clinical and biochemical factors, and the performance was evaluated via discrimination, calibration, and clinical factors.

RESULTS

The study consisted of 3041 AMI patients after pPCI, including 2129 patients in the training set (70%) and 912 patients in the validation set (30%). The NR event was 238 in the training set and 87 in the validation set. The level of N-terminal prohormone B-type natriuretic peptide (NT-proBNP), basophil count (BASO), neutrophil count (NEUBC), D-dimer, hemoglobin (Hb), and red blood cell distribution width (RDW.CV) in NR patients showed statistically significant differences. In the training set, the C-index was 0.712, 95% CI 0.677 to 0.748. In the validation set, the C-index was 0.663, 95% CI 0.604 to 0.722.

CONCLUSIONS

A nomogram that may predict NR in AMI patients undergoing pPCI was established and validated. We hope this nomogram can be used for NR risk assessment and clinical decision-making and significantly prevent potentially impaired reperfusion associated with NR.

摘要

背景

冠状动脉无复流(NR)现象是主要不良心脏事件(MACE)的独立预测因子。本研究旨在建立一个临床综合列线图,用于预测急性心肌梗死(AMI)患者在接受直接经皮冠状动脉介入治疗(pPCI)后的无复流情况。

方法

进行多变量逻辑回归分析以确定与无复流相关的因素。通过多个临床和生化因素建立列线图,并通过区分度、校准度和临床因素评估其性能。

结果

该研究纳入了3041例接受pPCI后的AMI患者,其中训练集有2129例患者(70%),验证集有912例患者(30%)。训练集中无复流事件有238例,验证集中有87例。无复流患者的N末端B型利钠肽原(NT-proBNP)水平、嗜碱性粒细胞计数(BASO)、中性粒细胞计数(NEUBC)、D-二聚体、血红蛋白(Hb)和红细胞分布宽度(RDW.CV)显示出统计学上的显著差异。在训练集中,C指数为0.712,95%可信区间为0.677至0.748。在验证集中,C指数为0.663,95%可信区间为0.604至0.722。

结论

建立并验证了一个可预测接受pPCI的AMI患者无复流情况的列线图。我们希望这个列线图可用于无复流风险评估和临床决策,并显著预防与无复流相关的潜在再灌注受损。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855c/11267190/3e389d583662/2153-8174-25-5-151-g1.jpg

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