Identification of plaque ruptures using a novel discriminative model comprising biomarkers in patients with acute coronary syndrome
- Authors
- Kook, Hyungdon; Jang, Duck Hyun; Kim, Jong-Ho; Cho, Jae-Young; Joo, Hyung Joon; Cho, Sang-A; Park, Jae Hyoung; Hong, Soon Jun; Yu, Cheol Woong; Lim, Do-Sun
- Issue Date
- 19-11월-2020
- Publisher
- NATURE RESEARCH
- Citation
- SCIENTIFIC REPORTS, v.10, no.1
- Indexed
- SCIE
SCOPUS
- Journal Title
- SCIENTIFIC REPORTS
- Volume
- 10
- Number
- 1
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/51480
- DOI
- 10.1038/s41598-020-77413-3
- ISSN
- 2045-2322
- Abstract
- Soluble lectin-like oxidized low-density lipoprotein receptor-1 (sLOX-1), neutrophil gelatinase-associated lipocalin (NGAL), and matrix metalloproteinase-9 (MMP-9) are inflammatory biomarkers involved in plaque destabilization resulting in acute coronary syndrome (ACS). This study aimed to investigate the diagnostic value of a combination of biomarkers to discriminate plaque ruptures in the setting of ACS. Eighty-five ACS patients with optical coherence tomography (OCT) images of the culprit plaque were included and categorized into two groups: ACS with plaque rupture (Rupture group, n=42) or without plaque rupture (Non-rupture group, n=43) verified by OCT. A discriminative model of plaque rupture using several biomarkers was developed and validated. The Rupture group had higher white blood cell (WBC) counts and peak creatine kinase-myocardial band (CK-MB) levels (13.39 vs. 2.69 ng/mL, p=0.0016). sLOX-1 (227.9 vs. 51.7 pg/mL, p<0.0001) and MMP-9 (13.4 vs. 6.45 ng/mL, p=0.0313) levels were significantly higher in the Rupture group, whereas NGAL showed a trend without statistical significance (59.03 vs. 53.80 ng/mL, p=0.093). Receiver operating characteristic curves to differentiate Rupture group from Non-rupture group calculated the area under the curve for sLOX-1 (p<0.001), MMP-9 (p=0.0274), and NGAL (p=0.0874) as 0.763, 0.645, and 0.609, respectively. A new combinatorial discriminative model including sLOX-1, MMP-9, WBC count, and the peak CK-MB level showed an area under the curve of 0.8431 (p<0.001). With a cut-off point of 0.614, the sensitivity and specificity of plaque rupture were 62.2% and 97.6%, respectively. The new discriminative model using sLOX-1, MMP-9, WBC count, and peak CK-MB levels could better identify plaque rupture than each individual biomarker in ACS patients.
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Collections - College of Medicine > Department of Medical Science > 1. Journal Articles
- Graduate School > Department of Biomedical Sciences > 1. Journal Articles
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