Abstract
Session presented on: Thursday, July 25, 2013:
Purpose: Patients with potential acute coronary syndrome (ACS) make a decision to present to the emergency department (ED) partially based on symptoms. Differentiating which patients have ACS and require cardiac evaluation presents a diagnostic conundrum. Empirically derived symptom profiles could assist in risk stratification. Therefore, the purpose of the study was to examine the influence of age on subgroups of patients with similar symptom clusters who presented to the ED with symptoms suggestive of ACS who subsequently ruled out.
Methods: A sample of 318 patients (148 women; 170 men) was recruited from 3 EDs in 3 US states. Symptom data were collected upon presentation using a reliable and valid 13-item symptom checklist. Latent class analysis was used to identify patient groups (latent classes) with similar symptom profiles. Analysis of Variance (ANOVA) was used to compare symptoms by age.
Results: Mean age was 57.6 (15.6) years. The most frequently reported symptom was chest discomfort (69.4%). Analysis of symptoms resulted in a 3 class solution. Class 1 (n = 114) included 7 high probability symptoms including chest pressure, chest discomfort, shortness of breath, unusual fatigue, nausea, lightheadedness, and chest pain. Class 2 (n = 102) included 3 high probability symptoms, all in the chest including pressure, discomfort, and pain. Class 3 (n = 102) included 3 moderate probability symptoms; shortness of breath, unusual fatigue, and lightheadedness. Patients in class 3 were significantly older: 63.6 years vs. 54 years (class 1) and 55.7 years (class 2) (p<0.0167).
Conclusion: Patients who present to the ED with ACS-like symptoms and are ruled-out can be classified into symptom clusters which vary by age. Older patients may be vulnerable to poorer outcomes due to ambiguous symptom clusters. Further research is required to determine clinical implications.
Sigma Membership
Non-member
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Symptom Clusters, Geriatrics, Acute Coronary Syndrome
Recommended Citation
DeVon, Holli A. and Rosenfeld, Anne G., "Symptom clusters in patients who ruled out for acute coronary syndrome: Age matters" (2013). INRC (Congress). 21.
https://www.sigmarepository.org/inrc/2013/presentations_2013/21
Conference Name
24th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Prague, Czech Republic
Conference Year
2013
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Acquisition
Proxy-submission
Symptom clusters in patients who ruled out for acute coronary syndrome: Age matters
Prague, Czech Republic
Session presented on: Thursday, July 25, 2013:
Purpose: Patients with potential acute coronary syndrome (ACS) make a decision to present to the emergency department (ED) partially based on symptoms. Differentiating which patients have ACS and require cardiac evaluation presents a diagnostic conundrum. Empirically derived symptom profiles could assist in risk stratification. Therefore, the purpose of the study was to examine the influence of age on subgroups of patients with similar symptom clusters who presented to the ED with symptoms suggestive of ACS who subsequently ruled out.
Methods: A sample of 318 patients (148 women; 170 men) was recruited from 3 EDs in 3 US states. Symptom data were collected upon presentation using a reliable and valid 13-item symptom checklist. Latent class analysis was used to identify patient groups (latent classes) with similar symptom profiles. Analysis of Variance (ANOVA) was used to compare symptoms by age.
Results: Mean age was 57.6 (15.6) years. The most frequently reported symptom was chest discomfort (69.4%). Analysis of symptoms resulted in a 3 class solution. Class 1 (n = 114) included 7 high probability symptoms including chest pressure, chest discomfort, shortness of breath, unusual fatigue, nausea, lightheadedness, and chest pain. Class 2 (n = 102) included 3 high probability symptoms, all in the chest including pressure, discomfort, and pain. Class 3 (n = 102) included 3 moderate probability symptoms; shortness of breath, unusual fatigue, and lightheadedness. Patients in class 3 were significantly older: 63.6 years vs. 54 years (class 1) and 55.7 years (class 2) (p<0.0167).
Conclusion: Patients who present to the ED with ACS-like symptoms and are ruled-out can be classified into symptom clusters which vary by age. Older patients may be vulnerable to poorer outcomes due to ambiguous symptom clusters. Further research is required to determine clinical implications.