Document Detail


Classifying subgroups of patients with symptoms of acute coronary syndromes: A cluster analysis.
MedLine Citation:
PMID:  20672306     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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 χ(2) [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.
Authors:
Holli A DeVon; Catherine J Ryan; Sally H Rankin; Bruce A Cooper
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Research in nursing & health     Volume:  33     ISSN:  1098-240X     ISO Abbreviation:  Res Nurs Health     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-09-27     Completed Date:  2010-10-14     Revised Date:  2014-09-21    
Medline Journal Info:
Nlm Unique ID:  7806136     Medline TA:  Res Nurs Health     Country:  United States    
Other Details:
Languages:  eng     Pagination:  386-97     Citation Subset:  IM; N    
Copyright Information:
© 2010 Wiley Periodicals, Inc. Res Nurs Health 33:386-397, 2010.
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MeSH Terms
Descriptor/Qualifier:
Acute Coronary Syndrome / classification*,  complications*,  psychology
Adult
Age Factors
Aged
Aged, 80 and over
Analysis of Variance
Attitude to Health
Chest Pain / epidemiology,  etiology
Chi-Square Distribution
Cluster Analysis
Dyspnea / epidemiology,  etiology
Female
Humans
Likelihood Functions
Male
Middle Aged
Midwestern United States / epidemiology
Models, Statistical
Muscle Weakness / epidemiology,  etiology
Nausea / epidemiology,  etiology
Nursing Research
Sweating / physiology
Grant Support
ID/Acronym/Agency:
R15 NR008870/NR/NINR NIH HHS; R15 NR008870-02/NR/NINR NIH HHS; R15 NR08870/NR/NINR NIH HHS
Comments/Corrections

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