Differences in mortality in acute coronary syndrome symptom clusters

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

doi:10.1016/j.ahj.2010.01.003

« Previous Next »American Heart Journal
Volume 159, Issue 3 , Pages 392-398, March 2010

Differences in mortality in acute coronary syndrome symptom clusters

Barbara Riegel, DNSc, RN, FAAN
- School of Nursing, University of Pennsylvania, Philadelphia, PA
Alexandra L. Hanlon, PhD
- School of Nursing, University of Pennsylvania, Philadelphia, PA
Sharon McKinley, PhD, RN
- Faculty of Nursing Midwifery and Health, University of Technology Sydney and Northern Sydney Central Coast Health, Sydney, Australia
Debra K. Moser, DNSc, RN, FAAN
- College of Nursing, University of Kentucky, Lexington, KY
Hendrika Meischke, PhD
- Department of Health Services, University of Washington, Seattle, WA
Lynn V. Doering, DNSc, RN, FAAN
- School of Nursing, University of California, Los Angeles, CA
Patricia Davidson, PhD, RN
- Curtin University, Australia
Michele M. Pelter, RN, PhD
- Orvis School of Nursing, University of Nevada, Reno, NV
Kathleen Dracup, DNSc, RN, FAAN
- School of Nursing, University of California, San Francisco, CA
- Reprint requests: Barbara Riegel, DNSc, RN, FAAN, University of Pennsylvania, School of Nursing, 418 Curie Boulevard, Philadelphia, PA 19104-4217.

Received 11 October 2009; accepted 6 January 2010.

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.