Risk stratification analysis of recurrent myocardial infarction in Indian population using inflammatory, lipid, thrombotic and extracellular matrix remodeling markers

使用炎症、脂质、血栓和细胞外基质重塑标志物对印度人群复发性心肌梗死的风险分层分析

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作者:Ritu Singh, Sana Tasnim, Sudhir Chandra, Roshnara Pp, Ankita Choudhary, Rajni Dawar, Parul Goyal, Mukesh Kumar Meena, Jayashree Bhattacharjee, Sanjay Tyagi

Conclusion

Non-lipid factors provide substantial insights into plaque instability. Multiple markers of inflammation, thrombosis, extracellular matrix remodeling, and paroxonase-1 are reliable indicators of recurrent myocardial infarction.

Methods

Two hundred patients diagnosed with MI within the first 24 h of the event were included in the study and categorized as first-time or recurrent MI. Serum levels of NF-κB, hs-CRP, TNF-α, IFN γ, IL-6, VCAM-1,MMP-9, stromelysin, TIMP-1, MCP-1, PAPP-A, vWF, D-dimer, PLA2, PON-1, Apo-B, Apo-A1, ox-LDL, and anti-oxidized LDL antibodies were analyzed by ELISA. We performed a multivariate logistic regression analysis for risk stratification.

Objective

Atherosclerosis is a chronic condition characterized by impaired lipid homeostasis and chronic inflammatory pathology in large and mid-sized arteries. Myocardial infarction is caused by coronary artery thrombosis in a ruptured or unstable atherosclerotic plaque. Despite the emphasis on known triggering factors, such as hypertension and dyslipidemia, adverse events following MI, such as recurrence and mortality, are still high. Therefore, it is imperative to assess potential determinants of plaque instability. We evaluated markers of inflammation, extracellular matrix (ECM) remodeling, thrombosis, and lipids in first-time and recurrent MI (RMI).

Results

The mean age of first-time MI patients was 52.4 ± 25 years and that of recurrent MI patients was 55.9 ± 24.6 years. RMI patients showed significant (p¡0.05) upregulation of markers of inflammation (TNF-α), endothelial adhesion (VCAM-1), ECM remodeling (MMP-9, PAPP-A), and antioxidant PON-1 enzyme. First-time MI patients had significantly higher serum IL-6 and D-dimer levels than RMI patients. Risk categorization for RMI was determined at 0.5 cut-off utilizing proteomic indicators at 95% confidence interval.

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