The study evaluated how well certain inflammatory and anti-inflammatory proteins (adipocytokines) can diagnose and predict the risk of coronary artery disease (CAD).
The research involved 259 patients with suspected acute coronary syndrome, analyzing their serum levels of specific adipocytokines and linking these to the severity of their condition as measured by the Gensini score.
Results showed that levels of certain proteins were higher in CAD patients compared to controls, and specific combinations of these proteins improved diagnostic accuracy compared to traditional biomarkers.