In:
Coronary Artery Disease, Ovid Technologies (Wolters Kluwer Health), Vol. 34, No. 6 ( 2023-09), p. 425-431
Abstract:
Inflammation and dyslipidemia are important pathophysiological bases for the occurrence and development of coronary artery disease (CAD); however, combination of these two entities is rarely used to diagnose CAD and its severity. Our aim was to determine whether the combination of white blood cell count (WBCC) and LDL cholesterol (LDL-C) can serve as a biomarker for CAD. Methods We enrolled 518 registered patients and measured serum WBCC and LDL-C on admission. The clinical data were collected, and the Gensini score was used to assess the severity of coronary atherosclerosis. Results WBCC and LDL-C levels in the CAD group were higher than in the control group ( P 〈 0.01). Spearman correlation analysis showed that WBCC combined with LDL-C was positively correlated with the Gensini score ( r = 0.708, P 〈 0.01) and the number of coronary artery lesions ( r = 0.721, P 〈 0.01). Receiver operating characteristic curve analysis revealed that WBCC combined with LDL-C had a higher predictive value for CAD, severe CAD, and three-vessel CAD [area under the curve (AUC) values were 0.909, 0.867, and 0.811, respectively] than WBCC (AUC values were 0.814, 0.753, 0.716, respectively) and LDL-C (AUC values were 0.779, 0.806, 0.715, respectively) alone (all P 〈 0.05). Conclusion WBCC combined with LDL-C is correlated with the degree of coronary artery lesion. It had high sensitivity and specificity in the diagnosis of CAD, severe CAD, and three-vessel CAD.
Type of Medium:
Online Resource
ISSN:
0954-6928
DOI:
10.1097/MCA.0000000000001248
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2023
detail.hit.zdb_id:
1047268-X
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