Differences in mortality in acute coronary syndrome symptom clusters

Barbara Riegel, Alexandra L. Hanlon, Sharon McKinley, Debra K. Moser, Hendrika Meischke, Lynn V. Doering, Patricia Davidson, Michele M. Pelter, Kathleen Dracup

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Background: The timely and accurate identification of symptoms of acute coronary syndrome (ACS) is a challenge for patients and clinicians. It is unknown whether response times and clinical outcomes differ with specific symptoms. We sought to identify which ACS symptoms are related-symptom clusters-and to determine if sample characteristics, response times, and outcomes differ among symptom cluster groups. Methods: In a multisite randomized clinical trial, 3522 patients with known cardiovascular disease were followed up for 2 years. During follow-up, 331 (11%) had a confirmed ACS event. In this group, 8 presenting symptoms were analyzed using cluster analysis. Differences in symptom cluster group characteristics, delay times, and outcomes were examined. Results: The sample was predominately male (67%), older (mean 67.8, S.D. 11.6 years), and white (90%). Four symptom clusters were identified: Classic ACS characterized by chest pain; Pain Symptoms (neck, throat, jaw, back, shoulder, arm pain); Stress Symptoms (shortness of breath, sweating, nausea, indigestion, dread, anxiety); and Diffuse Symptoms, with a low frequency of most symptoms. Those in the Diffuse Symptoms cluster tended to be older (P = .08) and the Pain Symptoms group was most likely to have a history of angina (P = .01). After adjusting for differences, the Diffuse Symptoms cluster demonstrated higher mortality at 2 years (17%) than the other 3 clusters (2%-5%, P < .001), although prehospital delay time did not differ significantly. Conclusion: Most ACS symptoms occur in groups or clusters. Uncharacteristic symptom patterns may delay diagnosis and treatment by clinicians even when patients seek care rapidly. Knowledge of common symptom patterns may facilitate rapid identification of ACS.

Original languageEnglish
Pages (from-to)392-398
Number of pages7
JournalAmerican Heart Journal
Volume159
Issue number3
DOIs
StatePublished - Mar 2010

Funding

FundersFunder number
National Institute of Nursing ResearchR01NR007952

    ASJC Scopus subject areas

    • Cardiology and Cardiovascular Medicine

    Fingerprint

    Dive into the research topics of 'Differences in mortality in acute coronary syndrome symptom clusters'. Together they form a unique fingerprint.

    Cite this