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Published on: January 28, 2020
S100A12 as a marker to predict cardiovascular events in patients with chronic coronary artery disease
Toshinobu Saito1, Yukihiro Hojo, Yukako Ogoyama
1Department of Cardiology, Jichi Medical University, Shimotsuke, Japan.
Insights
Plasma S100A12 levels can predict major adverse cardiovascular events (MACE) in patients with stable coronary artery disease (CAD). Higher S100A12 levels indicate increased risk, suggesting its potential as a novel biomarker for cardiovascular outcomes.
Area of Science:
- Cardiology
- Biomarkers
- Inflammation
Background:
- S100A12 is a protein released from white blood cells, implicated in inflammatory cardiovascular disease.
- Its plasma level is hypothesized to predict outcomes in chronic coronary artery disease (CAD).
Purpose of the Study:
- To determine the clinical significance of S100A12 in predicting cardiovascular events in patients with stable CAD.
Main Methods:
- A cohort of 652 patients with stable CAD who underwent percutaneous coronary intervention was studied.
- Major adverse cardiovascular events (MACE) were tracked over a mean follow-up of 973 days.
- Plasma S100A12 levels were analyzed for correlation with hs-CRP and prediction of MACE using Kaplan-Meier and Cox models.
Main Results:
- 16.6% of patients experienced MACE.
- Plasma S100A12 showed a positive correlation with hs-CRP.
- Higher S100A12 quartiles were associated with significantly higher MACE rates (P=0.002).
- S100A12 independently predicted MACE in multivariate analysis, unlike hs-CRP (P=0.074).
Conclusions:
- S100A12 is a potential novel biomarker for predicting cardiovascular events in patients with stable CAD.
- Elevated S100A12 levels signify increased risk for MACE.
Background:
S100A12, a calgranulin family protein released from white blood cells, is involved in inflammatory cardiovascular disease. It was hypothesized that the plasma level of S100A12 can be used to predict outcome in patients with chronic coronary artery disease (CAD). The purpose of this study was to clarify the clinical significance of S100A12 in patients with stable CAD.
Methods And Results:
A total of 652 patients with stable CAD were studied. All patients underwent percutaneous coronary intervention and successful revascularization. Major adverse cardiovascular events (MACE) were defined as a composite of events of CHF, recurrence of angina pectoris, acute myocardial infarction, stroke, critical arrhythmia, intervention to peripheral arteries and cardiac death. The mean follow-up period was 973±639 days. MACE occurred in 108 patients (16.6%). Plasma S100A12 level had a significant positive correlation with high-sensitivity C-reactive protein (hs-CRP) level. On Kaplan-Meier curve analysis the incidence of MACE was significantly different among S100A12 quartiles (P=0.026). The highest S100A12 quartile (Q4) had a significantly higher MACE rate than the lowest quartile (Q1) (P=0.002). In contrast, hs-CRP was not significant for predicting MACE in the present subjects (P=0.074). A Cox proportional hazard model showed that S100A12 was an independent factor for predicting MACE in multivariate models.
Conclusions:
S100A12 could be a novel biomarker for predicting cardiovascular events for predicting MACE in patients with stable CAD.
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