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山东大学学报 (医学版) ›› 2022, Vol. 60 ›› Issue (7): 118-122.doi: 10.6040/j.issn.1671-7554.0.2021.1549

• 临床医学 • 上一篇    下一篇

689例非ST段抬高型心肌梗死患者的临床流行病学特征

张玉凤1,2,徐敏3,邢秀丽3,逄曙光3,户克庆4   

  1. 1.山东大学齐鲁医学院, 山东 济南 250012;2.济南市历下区人民医院, 山东 济南 250014;3.山东大学附属济南市中心医院内分泌科, 山东 济南 250013;4.山东大学附属济南市中心医院胸痛中心, 山东 济南 250013
  • 发布日期:2022-07-27
  • 通讯作者: 逄曙光. E-mail:shugoangpang@163.com
  • 基金资助:
    山东省重点研发计划(2016GSF201019);济南市医疗卫生科技创新计划(201704116);山东大学横向计划(6020320001);山东省第一医科大学学术提升计划(2019QL205)

Epidemiological characteristics of 689 patients with non-ST-segment elevation myocardial infarction

ZHANG Yufeng1,2, XU Min3, XING Xiuli3, PANG Shuguang3, HU Keqing4   

  1. 1. Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. Peoples Hospital of Lixia District of Jinan, Jinan 250014, Shandong, China;
    3. Department of Endocrinology, Jinan Central Hospital, Shandong University, Jinan 250013, Shandong, China;
    4. Chest Pain Center, Jinan Central Hospital, Shandong University, Jinan 250013, Shandong, China
  • Published:2022-07-27

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摘要： 目的 调查分析济南市某三甲医院胸痛中心就诊患者中非ST段抬高型心肌梗死患者的流行病学特征,探讨近3年该院胸痛中心就诊的非ST段抬高型心肌梗死患者的特点及规律。 方法 选取2018年1月至2020年12月到胸痛中心就诊的非ST段抬高型心肌梗死患者689例作为研究对象,按患者的性别、年龄、就诊时间及患者的首次医疗接触时间、处理策略等进行频数分析、卡方检验和Logistic回归分析。 结果 非ST段抬高型心肌梗死患者人数和构成比随年龄的增长逐渐增加,70岁~年龄组占比最高(53.4%),男性患者构成比高于女性;非ST段抬高型心肌梗死患者的就诊有明显的季节性,不同季节的患者昼夜就诊率差异有统计学意义(χ2=12.627,P=0.006)。对昼夜就诊有关联的影响因素进行二分类Logistic回归多因素分析显示,就诊季节、首次医疗接触时间及处理策略是患者昼夜就诊差异的独立影响因素(P<0.05)。 结论 该院非ST段抬高型心肌梗死患者就诊的高峰年龄、就诊时间段、季节分布有其规律可循,为临床医师识别高危患者、选择最佳诊疗策略提供依据。

关键词: 非ST段抬高型心肌梗死, 流行病学, 季节分布, 预后

Abstract: Objective To investigate the epidemiological characteristics of patients with non-ST-segment elevation myocardial infarction(NSTEMI), and to explore the characteristics and regularity of patients with non-ST-segment elevation myocardial infarction in chest pain center of the hospital in recent 3 years. Methods A total of 689 NSTEMI patients who visited the chest pain center of a certain hospital during Jan. 2018 and Dec. 2020 were selected as the study subjects. Frequency analysis, Chi-square test and Logistic regression analysis were performed based on patients gender, age, date and time of treatment, time of first medical contact and treatment strategy. Results The number of patients and constituent ratio increased with the increase of age. The 70-year group had the highest proportion, accounting for 53.4% of all cases. The proportion of male patients was higher than that of female patients. Patients in different seasons had statistically significant difference in day and night visit rates(χ2=12.627, P=0.006). Multinomial Logistic regression analysis showed that the season of visit, time of first medical contact and treatment strategy were the independent influencing factors of day and night visits(P<0.05). Conclusion The peak age, time period and seasonal distribution of patients have certain rules to follow, which can provide a basis for clinicians to identify high-risk patients and choose the best diagnosis and treatment strategy.

Key words: Non-ST-segment elevation myocardial infarction, Epidemiology, Seasonal prevalence, Prognosis

中图分类号: 

  • R541.4
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