Actual sweating as a significant predict factor of acute coronary syndrome

Youn, Suk Ju; Choi, Woo Ik; Jin, Sang Chan; Jeon, Jae Cheon; Kim, Tae Kwon; Kim, In-Cheol; Lee, Sang Hun

J Korean Soc Emerg Med > Volume 33(2); 2022 > Article

Original Article

Journal of The Korean Society of Emergency Medicine 2022;33(2): 156-163.

Actual sweating as a significant predict factor of acute coronary syndrome

¹Department of Emergency Medicine, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
²Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea

Correspondence

Sang Hun Lee ,Tel: 053-258-7896, Fax: 053-258-6305, Email: sanghun@dsmc.or.kr,

Received: June 3, 2021; Revised: August 3, 2021 Accepted: August 17, 2021. Published online: April 30, 2022.

ABSTRACT

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.
Method:
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.

Key words: Acute coronary syndrome; Chest pain; Sweat