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Abstract
The study's methodology involved enrolling 1,090 patients who had coronary angiography. Twenty-four indicators of inflammation were gathered before angiography. Distinct patterns of inflammatory biomarkers were identified by cluster analyses using unsupervised machine learning. The link between inflammatory biomarker clusters and individual biomarker associations with major adverse cardiovascular events (MACE; non-fatal myocardial infarction or stroke, and CV mortality) over a median follow-up of 3.67 years was evaluated using Cox proportional hazard regression.
Keywords
hazard
events
cardiovascular
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Shodiyev Mirshodbek Marufovich. (2024). Inflammatory Biomarkers’ Function in Cardiovascular Event Prediction. Journal of Pedagogical Inventions and Practices, 38, 5–13. Retrieved from https://zienjournals.com/index.php/jpip/article/view/5805
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