Identification of plaque ruptures using a novel discriminative model comprising biomarkers in patients with acute coronary syndrome

Hyungdon Kook, Duck Hyun Jang, Jong Ho Kim, Jae Young Cho, Hyung Joon Joo, Sang A. Cho, Jae Hyoung Park, Soon Jun Hong, Cheol Woong Yu, Do Sun Lim

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


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.

Original languageEnglish
Article number20228
JournalScientific reports
Issue number1
Publication statusPublished - 2020 Dec
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, The Author(s).

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Identification of plaque ruptures using a novel discriminative model comprising biomarkers in patients with acute coronary syndrome'. Together they form a unique fingerprint.

Cite this