Rosenfeld Anne G, Knight Elizabeth P, Steffen Alana, Burke Larisa, Daya Mohamud, DeVon Holli A
University of Arizona College of Nursing, 1305 N. Martin Ave., Tucson, AZ 85721-0203, USA.
University of Arizona College of Nursing, 1305 N. Martin Ave., Tucson, AZ 85721-0203, USA.
Heart Lung. 2015 Sep-Oct;44(5):368-75. doi: 10.1016/j.hrtlng.2015.05.008. Epub 2015 Jun 26.
To identify classes of individuals presenting to the ED for suspected ACS who shared similar symptoms and clinical characteristics.
Describing symptom clusters in undiagnosed patients with suspected ACS is a novel and clinically relevant approach, reflecting real-world emergency department evaluation procedures.
Symptoms were measured using a validated 13-item symptom checklist. Latent class analysis was used to describe symptom clusters.
The sample of 874 was 37% female with a mean age of 59.9 years. Four symptom classes were identified: Heavy Symptom Burden (Class 1), Chest Symptoms and Shortness of Breath (Class 2), Chest Symptoms Only (Class 3), and Weary (Class 4). Patients with ACS were more likely to cluster in Classes 2 and 3. Women and younger patients were more likely to group in Class 1.
Further research is needed to determine the value of symptom clusters in the ED triage and management of suspected ACS.
识别因疑似急性冠状动脉综合征(ACS)而到急诊科就诊且具有相似症状和临床特征的个体类别。
描述疑似ACS未确诊患者的症状群是一种新颖且具有临床相关性的方法,反映了现实世界中的急诊科评估程序。
使用经过验证的13项症状清单对症状进行测量。采用潜在类别分析来描述症状群。
874名样本中女性占37%,平均年龄为59.9岁。确定了四类症状:症状负担重(第1类)、胸痛症状伴呼吸急促(第2类)、仅胸痛症状(第3类)和疲倦(第4类)。ACS患者更有可能聚集在第2类和第3类。女性和年轻患者更有可能归为第1类。
需要进一步研究以确定症状群在疑似ACS的急诊科分诊和管理中的价值。