BACKGROUND: Symptoms, a key element in the patient's decision to seek care, are critical to appropriate triage, and influence decisions to pursue further evaluation and initiation of treatment. Although many studies have described symptoms associated with acute coronary syndromes (ACS), few, if any, have examined symptom predictors of ACS and whether they differ by patients' age. OBJECTIVES: To explore symptom predictors of ACS in younger (< 70 years) and older (> or = 70 years) patients. To test the hypothesis that typical symptoms are predictive of ACS in younger patients, but are less predictive in older patients. METHOD: Secondary analysis of observational data gathered on 531 patients presenting to the emergency department of a regional cardiac referral center in New England with symptoms suggestive of ACS. RESULTS: Bivariate analyses revealed no symptoms significantly (p < .01) associated with ACS in older patients. In younger patients presence of chest symptoms and the total number of typical symptoms reported were significantly (p < .01) associated with ACS. After adjustment for age and gender, typical symptoms that were positive predictors of ACS in younger patients included chest symptoms (OR 2.37, 95% CI 1.32-4.27, p = .004) and arm pain (OR 1.78, 95% CI 1.03-3.09, p = .040). Additionally, the total number of typical symptoms reported (OR 1.68, 95% CI 1.31-2.15, p < .001) was a positive predictor of ACS in younger patients. The atypical symptom of fatigue (OR 2.52, 95% CI 1.10-5.81, p = .029) was a significant positive predictor of ACS, whereas dizziness/faintness (OR .50, 95% CI .26-.91, p = .024) was a significant negative predictor of ACS in younger patients. Logistic regression analysis using the entire sample revealed an interaction between age and number of typical symptoms indicating that younger patients had a 36% greater odds for ACS for each additional typical symptom present compared with older patients (OR 1.36, 95% CI 1.02-1.83, p = .038 for interaction between age and number of typical symptoms reported). The model with the interaction between age and chest symptoms revealed a borderline association (p = .10 for the interaction between age and chest symptoms), with younger patients being more likely than older patients to report chest symptoms. CONCLUSIONS: Typical symptoms are predictive of ACS in younger patients and less predictive in older patients.
BACKGROUND: Symptoms, a key element in the patient's decision to seek care, are critical to appropriate triage, and influence decisions to pursue further evaluation and initiation of treatment. Although many studies have described symptoms associated with acute coronary syndromes (ACS), few, if any, have examined symptom predictors of ACS and whether they differ by patients' age. OBJECTIVES: To explore symptom predictors of ACS in younger (< 70 years) and older (> or = 70 years) patients. To test the hypothesis that typical symptoms are predictive of ACS in younger patients, but are less predictive in older patients. METHOD: Secondary analysis of observational data gathered on 531 patients presenting to the emergency department of a regional cardiac referral center in New England with symptoms suggestive of ACS. RESULTS: Bivariate analyses revealed no symptoms significantly (p < .01) associated with ACS in older patients. In younger patients presence of chest symptoms and the total number of typical symptoms reported were significantly (p < .01) associated with ACS. After adjustment for age and gender, typical symptoms that were positive predictors of ACS in younger patients included chest symptoms (OR 2.37, 95% CI 1.32-4.27, p = .004) and arm pain (OR 1.78, 95% CI 1.03-3.09, p = .040). Additionally, the total number of typical symptoms reported (OR 1.68, 95% CI 1.31-2.15, p < .001) was a positive predictor of ACS in younger patients. The atypical symptom of fatigue (OR 2.52, 95% CI 1.10-5.81, p = .029) was a significant positive predictor of ACS, whereas dizziness/faintness (OR .50, 95% CI .26-.91, p = .024) was a significant negative predictor of ACS in younger patients. Logistic regression analysis using the entire sample revealed an interaction between age and number of typical symptoms indicating that younger patients had a 36% greater odds for ACS for each additional typical symptom present compared with older patients (OR 1.36, 95% CI 1.02-1.83, p = .038 for interaction between age and number of typical symptoms reported). The model with the interaction between age and chest symptoms revealed a borderline association (p = .10 for the interaction between age and chest symptoms), with younger patients being more likely than older patients to report chest symptoms. CONCLUSIONS: Typical symptoms are predictive of ACS in younger patients and less predictive in older patients.
Authors: Markku P T Sumanen; Sakari B Suominen; Markku J Koskenvuo; Lauri H Sillanmäki; Kari J Mattila Journal: Health Qual Life Outcomes Date: 2004-11-08 Impact factor: 3.186
Authors: Manon G van der Meer; Barbra E Backus; Yolanda van der Graaf; Maarten J Cramer; Yolande Appelman; Pieter A Doevendans; A Jacob Six; Hendrik M Nathoe Journal: PLoS One Date: 2015-01-15 Impact factor: 3.240