...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nursing research >Symptom clusters in acute myocardial infarction: a secondary data analysis.
【24h】

Symptom clusters in acute myocardial infarction: a secondary data analysis.

机译：急性心肌梗死的症状群：辅助数据分析。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

BACKGROUND: Early recognition of acute myocardial infarction (AMI) symptoms and reduced time to treatment may reduce morbidity and mortality. People having AMI experience a constellation of symptoms, but the common constellations or clusters of symptoms have yet to be identified. OBJECTIVES: To identify clusters of symptoms that represent AMI. METHODS: This was a secondary data analysis of nine descriptive, cross-sectional studies that included data from 1,073 people having AMI in the United States and England. Data were analyzed using latent class cluster analysis, an a theoretical method that uses only information contained in the data. RESULTS: Five distinct clusters of symptoms were identified. Age, race, and sex were statistically significant in predicting cluster membership. None of the symptom clusters described in this analysis included all of the symptoms that are considered typical. In one cluster, subjects had only a moderate to low probability of experiencing any of the symptoms analyzed. DISCUSSION: Symptoms of AMI occur in clusters, and these clusters vary among persons. None of the clusters identified in this study included all of the symptoms that are included typically as symptoms of AMI (chest discomfort, diaphoresis, shortness of breath, nausea, and lightheadedness). These AMI symptom clusters must be communicated clearly to the public in a way that will assist them in assessing their symptoms more efficiently and will guide their treatment-seeking behavior. Symptom clusters for AMI must also be communicated to the professional community in a way that will facilitate assessment and rapid intervention for AMI.
机译：背景：急性心肌梗死（AMI）症状的早期识别和减少的治疗时间可以减少发病率和死亡率。患有AMI的人会经历一系列症状，但是尚未发现常见的症状群或症状群。目的：确定代表AMI的症状群。方法：这是对九项描述性横断面研究的辅助数据分析，其中包括来自美国和英格兰的1,073名患有AMI的人的数据。使用潜在类聚类分析来分析数据，这是一种仅使用数据中包含的信息的理论方法。结果：确定了五个不同的症状群集。年龄，种族和性别在预测集群成员方面具有统计学意义。此分析中描述的症状群均未包含所有被认为是典型的症状。在一个集群中，受试者经历任何所分析症状的可能性只有中等到低。讨论：AMI的症状出现在集群中，并且这些集群因人而异。在本研究中确定的所有集群均未包括通常作为AMI症状包括的所有症状（胸部不适，发汗，呼吸急促，恶心和头昏眼花）。必须将这些AMI症状群清晰地传达给公众，以帮助他们更有效地评估其症状并指导其寻求治疗的行为。 AMI的症状群也必须以有助于评估和快速干预AMI的方式传达给专业人士。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号