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Clinical and Coronary Disease Characteristics Among Patients With ST-segment Elevation Myocardial Infarction and Without Typical Chest Pain / 中国循环杂志
Chinese Circulation Journal ; (12): 524-528, 2018.
Article in Zh | WPRIM | ID: wpr-703889
Responsible library: WPRO
ABSTRACT

Objectives:

To explore the clinical and coronary disease characteristics and prognosis of Chinese patients with ST segment elevation myocardial infarction and without typical chest pain.

Methods:

By extracting data from China Acute Myocardial Infarction Registry, we included 12 145 STEMI patients who underwent coronary angiography between 01 January 2013 to 30 September 2014. Variables of interest were extracted and compared between AMI patients without vs with typical chest pain. Multivariable logistic regression analysis was used to identify independent predictors of in-hospital mortality.

Results:

There were approximately 24% (2922/12145) STEMI patients without typical chest pain. Compared with typical chest pain patients, patients without typical chest pain had higher prevalence of diabetes (20.0% vs 17.8%), longer time of disease onset to hospital, lower rate of IRA disease of left anterior descending artery (44.6% vs 51.2%). These patients were less likely to receive primary percutaneous coronary intervention (64.9% vs 73.9%) and had higher in-hospital mortality (3.3% vs 2.2%, P<0.05). Multivarite Logistic regression analysis indicated atypical chest pain was an independent risk factor for in-hospital death (OR1.364, 95% confidence interval1.018-1.827).

Conclusions:

Approximately a quarter STEMI patients presented without typical chest pain in this patient cohort and they had longer disease onset to hospital time, were less likely to receive PCI, and associated with higher in-hospital mortality risk. Efforts should be made to identify these patients in order to apply the optimal treatments to them.
Key words
Full text: 1 Database: WPRIM Type of study: Prognostic_studies / Risk_factors_studies Language: Zh Journal: Chinese Circulation Journal Year: 2018 Document type: Article
Full text: 1 Database: WPRIM Type of study: Prognostic_studies / Risk_factors_studies Language: Zh Journal: Chinese Circulation Journal Year: 2018 Document type: Article
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