Original Article
Correlations of soluble osteoclast-associated receptor (sOSCAR) with acute coronary syndrome
Abstract
Background: An osteoclast-associated receptor (OSCAR) is an immunoglobulin receptor expressed in an osteoclast, and takes part in the formation of an osteoclast. While the soluble OSCAR (sOSCAR) component is reported to be involved in the pathogenesis of arteriosclerosis, the aim of this present study is to investigate the relationship between sOSCAR and acute coronary syndrome (ACS).
Methods: This study enrolled 41 patients with ACS and 33 patients without ACS as a control, from March 2017 to June 2017. The baseline clinical parameters and serum levels of sOSCAR were collected in the participants. The univariate and multivariate logistic regressions were applied to explore the independent association of sOSCAR with ACS. A receiver operating characteristic (ROC) curve was applied to explore the ability of sOSCAR to indicate ACS.
Results: The results showed that the levels of sOSCAR in the patients with ACS was lower than the patients without ACS (P=0.005). The multivariate logistic regression tests demonstrated that a decreased sOSCAR level was independently associated with the presence of ACS (OR: 0.174, 95% CI: 0.047–0.638, P=0.008). ROC analysis showed that the optimal sOSCAR cut-off value for the indication of ACS was <110.87 pg/mL, the corresponding sensitivity was 65.85%, and the specificity was 69.70%.
Conclusions: The decreased levels of sOSCAR are independently associated with the presence of ACS. sOSCAR could then be considered as a potential biomarker for the prediction of ACS.
Methods: This study enrolled 41 patients with ACS and 33 patients without ACS as a control, from March 2017 to June 2017. The baseline clinical parameters and serum levels of sOSCAR were collected in the participants. The univariate and multivariate logistic regressions were applied to explore the independent association of sOSCAR with ACS. A receiver operating characteristic (ROC) curve was applied to explore the ability of sOSCAR to indicate ACS.
Results: The results showed that the levels of sOSCAR in the patients with ACS was lower than the patients without ACS (P=0.005). The multivariate logistic regression tests demonstrated that a decreased sOSCAR level was independently associated with the presence of ACS (OR: 0.174, 95% CI: 0.047–0.638, P=0.008). ROC analysis showed that the optimal sOSCAR cut-off value for the indication of ACS was <110.87 pg/mL, the corresponding sensitivity was 65.85%, and the specificity was 69.70%.
Conclusions: The decreased levels of sOSCAR are independently associated with the presence of ACS. sOSCAR could then be considered as a potential biomarker for the prediction of ACS.
