Classifying subgroups of patients with symptoms of acute coronary syndromes: A cluster analysis |
| |
| Authors: | Holli A. DeVon Catherine J. Ryan Sally H. Rankin Bruce A. Cooper |
| |
| Affiliation: | 1. Betty Irene Moore School of Nursing, University of California Davis, 4610 X St. Suite 4202, Sacramento, CA 95817;2. Associate Professor.;3. University of Illinois at Chicago, Chicago, IL;4. Research Assistant Professor.;5. International Programs and Global Health, University of California San Francisco, San Francisco, CA;6. Professor and Associate Dean.;7. University of California San Francisco, San Francisco, CA;8. Senior Statistician. |
| |
| Abstract: | The purpose of the study was to identify subgroups of patients presenting with acute coronary syndromes based on symptom clusters. Two hundred fifty‐six patients completed a symptom assessment in their hospital rooms. Latent class cluster analysis and analysis of variance were used to classify subgroups of patients according to selected clinical characteristics. Four subgroups were identified and labeled as Heavy Symptom Burden, Chest Pain Only, Sweating and Weak, and Short of Breath and Weak (model fit χ2 [130,891, n = 256] = 867.5, p = 1.00). The largest group of patients experienced classic symptoms of chest pain and shortness of breath but not sweating. Younger patients were more likely to cluster in the Heavy Symptom Burden group (F = 5.08, p = .002). Interpretation of the clinical significance of these groupings requires further study. © 2010 Wiley Periodicals, Inc. Res Nurs Health 33:386–397, 2010 |
| |
| Keywords: | symptom clusters symptoms acute coronary syndromes latent class analysis |
|
|
