Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis

Anne G. Rosenfeld, Elizabeth P. Knight, Alana Steffen, Larisa Burke, Mohamud Daya, Holli A. DeVon

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Objectives: To identify classes of individuals presenting to the ED for suspected ACS who shared similar symptoms and clinical characteristics. Background: Describing symptom clusters in undiagnosed patients with suspected ACS is a novel and clinically relevant approach, reflecting real-world emergency department evaluation procedures. Methods: Symptoms were measured using a validated 13-item symptom checklist. Latent class analysis was used to describe symptom clusters. Results: 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. Conclusions: Further research is needed to determine the value of symptom clusters in the ED triage and management of suspected ACS.

Original languageEnglish (US)
Pages (from-to)368-375
Number of pages8
JournalHeart and Lung: Journal of Acute and Critical Care
Volume44
Issue number5
DOIs
StatePublished - Sep 1 2015

Keywords

  • Acute coronary syndrome
  • Age
  • Diagnosis
  • Latent class analysis
  • Race
  • Sex
  • Symptom clusters

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine
  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis'. Together they form a unique fingerprint.

  • Cite this