Machine learning algorithm and targeted proteomics allow to identify MACE predictive model including OPN – alongside with KIM‐1, NT‐proBNP, OPN and TIMP‐1 with an HR of 2.82 (95% CI 1.53–5.22) for CKD stage I–II and 8.32 (95% CI 1.12–61.76) for CKD stage III–IV. Here, SPP1 is linked to chronic kidney disease.