Identifying Platelet Lipidomic Networks and Evaluating Machine-Learning Models to Identify Distinctive Features Between Chronic and Acute Coronary Syndrome.

Cells · 2026 · PMC13359697 · PMID 42439667

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nominally significantno p-value reported

Cer 18:2;O2/24:0 showed the strongest inverse association with ACS of any identifiable lipid ( q = 0.0394, OR = 0.297, 95% CI [0.171, 0.515]), while increased Cer 18:0;O2/22:1 ( q = 0.088, OR = 3.072, 95% CI [1.607, 5.878]) and Cer 18:0;O2/18:0 ( q = 0.088, OR = 2.791, 95% CI [1.515, 5.145]) demonstrate nominally significant promotive effects on ACS.

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