Other Titles
Health promotion for the cardiac patient
Abstract
Session presented on Monday, July 28, 2014:
Purpose: Clinical symptoms are part of the risk stratification approaches used in the emergency department (ED) to evaluate patients with suspected acute coronary syndrome (ACS). The purpose of this study was to determine the sensitivity, specificity, and predictive value of 13 symptoms for a diagnosis of ACS in women and men.
Methods: The sample included 736 patients admitted to four EDs with symptoms suggestive of ACS. Symptoms were assessed with the 13-item validated ACS Symptom Checklist. Mixed-effects logistic regression models were used to estimate sensitivity, specificity, and predictive value of each symptom for a diagnosis of ACS, adjusting for age, obesity, stair climbing ability, and diabetes.
Results: Patients were predominantly male (63%) and Caucasian (70.5%), with a mean age of 59.7 - 14.2 years. Chest pressure, chest discomfort, and chest pain demonstrated the highest sensitivity for ACS in both women (66%, 67%, and 66%) and men (63%, 69%, and 72%). Six symptoms were specific for a non-ACS diagnosis in both women and men. The predictive value of shoulder (OR = 2.06, 95% CI = 1.09-3.87) and arm pain (OR 2.27, 95% CI = 1.20-4.35) in women was nearly twice that of men (OR = 1.14, 95% CI = 0.69-1.87 and OR = 1.24, 95% CI = 0.76-2.02). Shortness of breath (OR = 0.44, 95% CI = 0.28-0.71) and unusual fatigue (OR = 0.62, CI = 0.40-0.99) predicted a non-ACS diagnosis in men.
Conclusions: There were more similarities than differences in symptom predictors of ACS for women and men. Shortness of breath, arm pain, and shoulder pain may be key symptoms which add predictive value to an ACS diagnosis for women.
Sigma Membership
Alpha Lambda
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Acute Coronary Syndrome, Gender, Symptoms
Recommended Citation
DeVon, Holli A.; Steffan, Alana; Rosenfeld, Anne G.; and Daya, Mohamud, "Sensitivity, specificity, and sex differences in symptoms of acute coronary syndrome" (2014). INRC (Congress). 36.
https://www.sigmarepository.org/inrc/2014/presentations_2014/36
Conference Name
25th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Hong Kong
Conference Year
2014
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Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Sensitivity, specificity, and sex differences in symptoms of acute coronary syndrome
Hong Kong
Session presented on Monday, July 28, 2014:
Purpose: Clinical symptoms are part of the risk stratification approaches used in the emergency department (ED) to evaluate patients with suspected acute coronary syndrome (ACS). The purpose of this study was to determine the sensitivity, specificity, and predictive value of 13 symptoms for a diagnosis of ACS in women and men.
Methods: The sample included 736 patients admitted to four EDs with symptoms suggestive of ACS. Symptoms were assessed with the 13-item validated ACS Symptom Checklist. Mixed-effects logistic regression models were used to estimate sensitivity, specificity, and predictive value of each symptom for a diagnosis of ACS, adjusting for age, obesity, stair climbing ability, and diabetes.
Results: Patients were predominantly male (63%) and Caucasian (70.5%), with a mean age of 59.7 - 14.2 years. Chest pressure, chest discomfort, and chest pain demonstrated the highest sensitivity for ACS in both women (66%, 67%, and 66%) and men (63%, 69%, and 72%). Six symptoms were specific for a non-ACS diagnosis in both women and men. The predictive value of shoulder (OR = 2.06, 95% CI = 1.09-3.87) and arm pain (OR 2.27, 95% CI = 1.20-4.35) in women was nearly twice that of men (OR = 1.14, 95% CI = 0.69-1.87 and OR = 1.24, 95% CI = 0.76-2.02). Shortness of breath (OR = 0.44, 95% CI = 0.28-0.71) and unusual fatigue (OR = 0.62, CI = 0.40-0.99) predicted a non-ACS diagnosis in men.
Conclusions: There were more similarities than differences in symptom predictors of ACS for women and men. Shortness of breath, arm pain, and shoulder pain may be key symptoms which add predictive value to an ACS diagnosis for women.