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校正的 TIMI 帧数均值可预测冠状动脉慢血流现象患者的主要不良心血管事件。

The Mean Corrected TIMI Frame Count Could Predict Major Adverse Cardiovascular Events in Patients with Coronary Slow-Flow Phenomenon.

机构信息

Department of Cardiology, University of Health Sciences, Dr. Siyami Ersek Thoracic and Cardiovascular Training and Research Hospital, İstanbul, Turkey.

出版信息

Turk Kardiyol Dern Ars. 2022 Jun;50(4):250-255. doi: 10.5543/tkda.2022.21309.

Abstract

OBJECTIVE

The aim of the present study was to investigate the association between the mean corrected thrombolysis in myocardial frame count and major adverse cardiovascular events in patients with the coronary slow-flow phenomenon.

METHODS

A total of 98 patients with coronary slow-flow phenomenon who met inclusion cri- teria from 2015 to 2020 were retrospectively included in the analysis. The patients were ranked according to their mean corrected thrombolysis in myocardial frame count values and were divided into quartiles based on those. Group 1 consisted of patients who had a mean corrected thrombolysis in myocardial frame count value >36.68 (third quartile), while group 2 consisted of patients who had a mean corrected thrombolysis in myocardial frame count value ≤36.68 (first quartile+second quartile). Mortality and non-fatal cardiovascular complications were compared between the groups.

RESULTS

Mean follow-up duration was 3.93 ± 1.50 years. Recurrent chest pain and major adverse cardiovascular events increased in group 1 compared to group 2 (P ≤ .001, P ≤ .001, respectively). Hypertension (odds ratio 2.627, P=.033), hyperlipidemia (odds ratio 2.469, P = .028) and mean corrected thrombolysis in myocardial frame count (odds ratio 1.106, P = .002) were independent predictors of recurrent chest pain according to Cox regression analysis. Although older age (odds ratio 1.125, P=.011), hypertension (odds ratio 6.081, P=.026), hyperlipidemia (odds ratio 12.308, P = 0.019), and mean corrected thrombolysis in myocardial frame count (odds ratio 1.476, P = .001) were found to be significantly related with major adverse cardiovascular events in patients with coronary slow-flow phenomenon, only mean corrected thrombolysis in myocardial frame count (odds ratio 1.161, P = .021) was an indepen- dent predictor of major adverse cardiovascular events in Cox regression analysis.

CONCLUSION

Higher mean corrected thrombolysis in myocardial frame count could predict major adverse cardiovascular events in patients with the coronary slow-flow phenomenon.

摘要

目的

本研究旨在探讨校正心肌溶栓帧数均值与冠状动脉慢血流现象患者主要不良心血管事件之间的相关性。

方法

回顾性纳入 2015 年至 2020 年符合纳入标准的 98 例冠状动脉慢血流现象患者。根据校正心肌溶栓帧数均值对患者进行排序,并根据排序结果将患者分为四组。组 1 的校正心肌溶栓帧数均值>36.68(第三四分位数),组 2 的校正心肌溶栓帧数均值≤36.68(第一四分位数+第二四分位数)。比较两组患者的死亡率和非致死性心血管并发症。

结果

平均随访时间为 3.93±1.50 年。与组 2 相比,组 1 患者复发性胸痛和主要不良心血管事件增加(P≤0.001,P≤0.001)。高血压(比值比 2.627,P=0.033)、高血脂(比值比 2.469,P=0.028)和校正心肌溶栓帧数均值(比值比 1.106,P=0.002)是复发性胸痛的独立预测因素,根据 Cox 回归分析。尽管年龄较大(比值比 1.125,P=0.011)、高血压(比值比 6.081,P=0.026)、高血脂(比值比 12.308,P=0.019)和校正心肌溶栓帧数均值(比值比 1.476,P=0.001)与冠状动脉慢血流现象患者的主要不良心血管事件显著相关,但只有校正心肌溶栓帧数均值(比值比 1.161,P=0.021)是 Cox 回归分析中主要不良心血管事件的独立预测因素。

结论

校正心肌溶栓帧数均值越高,可预测冠状动脉慢血流现象患者的主要不良心血管事件。

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