Symptom clusters in acute myocardial infarction: a secondary data analysis

摘要: Background: Early recognition of acute myocardial infarction (AMI) symptoms and reduced time to treatment may reduce morbidity mortality. People having AMI experience a constellation symptoms, but the common constellations or clusters have yet be identified. Objectives: To identify that represent AMI. Methods: This was secondary data analysis nine descriptive, cross-sectional studies included from 1,073 people in United States England. Data were analyzed using latent class cluster analysis, an atheoretical method uses only information contained data. Results: Five distinct Age, race, sex statistically significant predicting membership. None symptom described this all are considered typical. In one cluster, subjects had moderate low probability experiencing any analyzed. Discussion: Symptoms occur clusters, these vary among persons. identified study typically as (chest discomfort, diaphoresis, shortness breath, nausea, lightheadedness). These must communicated clearly public way will assist them assessing their more efficiently guide treatment-seeking behavior. Symptom for also professional community facilitate assessment rapid intervention