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 Citations (Scopus)

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

Fingerprint

Acute Coronary Syndrome
Hospital Emergency Service
Thorax
Triage
Checklist
Dyspnea
Research

Keywords

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

ASJC Scopus subject areas

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

Cite this

Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis. / Rosenfeld, Anne G; Knight, Elizabeth P.; Steffen, Alana; Burke, Larisa; Daya, Mohamud; DeVon, Holli A.

In: Heart and Lung: Journal of Acute and Critical Care, Vol. 44, No. 5, 01.09.2015, p. 368-375.

Research output: Contribution to journalArticle

@article{cf8db302ef9a4687842df2ea704a2011,
title = "Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis",
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.",
keywords = "Acute coronary syndrome, Age, Diagnosis, Latent class analysis, Race, Sex, Symptom clusters",
author = "Rosenfeld, {Anne G} and Knight, {Elizabeth P.} and Alana Steffen and Larisa Burke and Mohamud Daya and DeVon, {Holli A.}",
year = "2015",
month = "9",
day = "1",
doi = "10.1016/j.hrtlng.2015.05.008",
language = "English (US)",
volume = "44",
pages = "368--375",
journal = "Heart and Lung: Journal of Acute and Critical Care",
issn = "0147-9563",
publisher = "Mosby Inc.",
number = "5",

}

TY - JOUR

T1 - Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis

AU - Rosenfeld, Anne G

AU - Knight, Elizabeth P.

AU - Steffen, Alana

AU - Burke, Larisa

AU - Daya, Mohamud

AU - DeVon, Holli A.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - 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.

AB - 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.

KW - Acute coronary syndrome

KW - Age

KW - Diagnosis

KW - Latent class analysis

KW - Race

KW - Sex

KW - Symptom clusters

UR - http://www.scopus.com/inward/record.url?scp=84940587712&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84940587712&partnerID=8YFLogxK

U2 - 10.1016/j.hrtlng.2015.05.008

DO - 10.1016/j.hrtlng.2015.05.008

M3 - Article

VL - 44

SP - 368

EP - 375

JO - Heart and Lung: Journal of Acute and Critical Care

JF - Heart and Lung: Journal of Acute and Critical Care

SN - 0147-9563

IS - 5

ER -