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[Primary PCI in ST-elevation myocardial infarction: mode of referral and time to PCI].[ST段抬高型心肌梗死的直接经皮冠状动脉介入治疗:转诊模式及至介入治疗的时间]
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Rev Port Cardiol. 2012 Mar;31(3):193-201. doi: 10.1016/j.repc.2012.01.013.
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Causes of delay and associated mortality in patients transferred with ST-segment-elevation myocardial infarction.ST 段抬高型心肌梗死患者转院延迟的原因及相关死亡率。
Circulation. 2011 Oct 11;124(15):1636-44. doi: 10.1161/CIRCULATIONAHA.111.033118. Epub 2011 Sep 19.
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Total ischemic time: the correct focus of attention for optimal ST-segment elevation myocardial infarction care.总缺血时间:优化 ST 段抬高型心肌梗死治疗的正确关注焦点。
JACC Cardiovasc Interv. 2011 Jun;4(6):599-604. doi: 10.1016/j.jcin.2011.02.012.
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The influence of time from symptom onset and reperfusion strategy on 1-year survival in ST-elevation myocardial infarction: a pooled analysis of an early fibrinolytic strategy versus primary percutaneous coronary intervention from CAPTIM and WEST.症状发作至再灌注策略时间对 ST 段抬高型心肌梗死患者 1 年生存率的影响:CAPTIM 和 WEST 中早期纤溶策略与直接经皮冠状动脉介入治疗的汇总分析。
Am Heart J. 2011 Feb;161(2):283-90. doi: 10.1016/j.ahj.2010.10.033.
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Understanding why patients delay seeking care for acute coronary syndromes.了解患者延迟寻求急性冠状动脉综合征治疗的原因。
Circ Cardiovasc Qual Outcomes. 2009 May;2(3):148-54. doi: 10.1161/CIRCOUTCOMES.108.825471. Epub 2009 Apr 28.
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Short-term prognosis of contemporary interventional therapy of ST-elevation myocardial infarction: does gender matter?当代 ST 段抬高型心肌梗死介入治疗的短期预后:性别重要吗?
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Causal beliefs, cardiac denial and pre-hospital delays following the onset of acute coronary syndromes.急性冠状动脉综合征发作后的因果信念、心脏否认及院前延误
J Behav Med. 2008 Dec;31(6):498-505. doi: 10.1007/s10865-008-9174-3. Epub 2008 Oct 2.
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Treatment delay in patients undergoing primary percutaneous coronary intervention for ST-elevation myocardial infarction: a key process analysis of patient and program factors.ST段抬高型心肌梗死患者接受直接经皮冠状动脉介入治疗的治疗延迟:患者和项目因素的关键过程分析
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ST段抬高型心肌梗死再灌注延迟较长的相关因素。

Factors associated with longer delays in reperfusion in ST-segment elevation myocardial infarction.

作者信息

Abreu Daisy, Salomé Cabral M, Ribeiro Fernando

机构信息

Department of Cardiology, Hospital de Santa Maria, Universidade de Lisboa, Lisbon, Portugal.

Centro de Estatística e Aplicações, Departamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Portugal.

出版信息

Int J Cardiol Heart Vessel. 2014 Jul 10;4:97-101. doi: 10.1016/j.ijchv.2014.06.007. eCollection 2014 Sep.

DOI:10.1016/j.ijchv.2014.06.007
PMID:29450187
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5801447/
Abstract

BACKGROUND/OBJECTIVES: The goal of this paper is to identify the predictors of delay in total ischemia time that would be the focus of improvement efforts in patients with ST-segment elevation myocardial infarction.

METHODS

Data was collected retrospectively through the patient's clinical records and by direct telephone interview.Total ischemic time was categorized in two classes according to the elapsed time since symptom presentation until restored flow, less than 6 h and 6 h or less. Logistic regression analysis was applied to evaluate the relationship between total ischemic time and a set of variables. Discrimination ability of the model was also assessed, as well as sensitivity and specificity, through ROC curves.

RESULTS

Data from 128 patients, 74.22% males and 25.78% females, were analyzed. The average age was approximately 62 years (± 13.6).Six variables associated with total ischemia were selected in the final model: the patient age, the level of pain intensity, the region of origin, the socioeconomic status, the activity that the patient was performing at the time of symptoms onset, and the fact that the patient has been transferred from another hospital.

CONCLUSION

The identification of variables associated with the total ischemia time allows the recognition of patients with possibility of worse prognosis, for which should be directed educational efforts and also the identification of variables that can be modified to optimize the therapy.

摘要

背景/目的:本文的目的是确定ST段抬高型心肌梗死患者总缺血时间延迟的预测因素,这将是改善措施的重点。

方法

通过患者临床记录和直接电话访谈回顾性收集数据。根据症状出现至血流恢复的时间,将总缺血时间分为两类,即小于6小时和6小时及以上。应用逻辑回归分析评估总缺血时间与一组变量之间的关系。还通过ROC曲线评估了模型的辨别能力以及敏感性和特异性。

结果

分析了128例患者的数据,其中男性占74.22%,女性占25.78%。平均年龄约为62岁(±13.6)。最终模型中选择了6个与总缺血相关的变量:患者年龄、疼痛强度水平、发病地区、社会经济状况、症状发作时患者正在进行的活动以及患者是否从另一家医院转诊。

结论

识别与总缺血时间相关的变量有助于识别预后可能较差的患者,对此应开展教育工作,同时识别可修改的变量以优化治疗。