지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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Objective: This study aims to identify significant factors such as sweat that can be used as important predictors of acute coronary syndrome (ACS) in patients visiting the emergency department (ED) complaining of chest pain.
Methods: This observational, retrospective, registry-based study conducted from May 2020 to November 2020 evaluated patients who visited the ED due to chest pain. Parameters associated with ACS were investigated, and the clinical characteristics and symptoms were analyzed.
Results: A total of 230 patients visited the ED with chest pain. Of these, 94 (40.9%) were diagnosed with ACS.
Univariate regression analysis showed that facial sweating (odds ratio [OR], 2.624; 95% confidence interval [CI], 1.241- 5.549; P=0.012) and drench sweating (OR, 3.346; 95% CI, 1.602-6.991; P=0.001) were associated with ACS. Hence, we classified these patients as the actual sweating group. However, the sweaty feeling self-reported by patients with no visible sweat did not correlate with ACS. Multivariate logistic regression analysis showed that age (OR, 1.043; 95% CI, 1.016-1.071; P=0.002), quantum of smoking (OR, 1.023; 95% CI, 1.005-1.041; P=0.010), diastolic blood pressure (OR, 1.028; 95% CI, 1.004-1.049; P=0.009), squeezing chest pain (OR, 2.128; 95% CI, 1.000-4.531; P=0.050), and actual sweating (OR, 2.300; 95% CI, 1.209-4.374; P=0.011) were significantly associated with ACS.
Conclusion: Age, the quantum of smoking, diastolic blood pressure, squeezing chest pain, and actual sweating are useful predictors for ACS diagnosis. Unlike actual sweating, patient-reported sweating is not significantly related to the diagnosis of ACS. The results of this study will be beneficial in predicting ACS to ensure early and emergency medical care in the pre-hospital setting.
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