The Prediction Value of Platelet-Derived Growth Factor for Major Adverse Cardiovascular Events in Patients with Acute Non-St-segment Elevation Myocardial Infarction

Background The value of plasma Platelet-Derived Growth Factor (PDGF) as a biomarker in predicting major adverse cardiovascular events (MACEs) in patients with acute non-ST-segment elevation myocardial infarction (NSTEMI) remains unclear. Methods A total of 242 patients with NSTEMI were enrolled in this observational cohort study. The correlation between PDGF and MACEs was evaluated during a five-year follow-up. Kaplan-Meier survival analysis with Cox proportional-hazards regression was used to identify predictive values of PDGF. Results The mean follow-up of NSTEMI patients was 1334 days. It was found that as the PDGF level increased, a significant uptrend in the incidence of MACEs and all-cause death, including the MACEs of 30 days, 180 days, 1 year, 5 years and the death of 1 year and 5 years (All Log-rank p < .05). Subgroup analysis further showed that PDGF had better predictive value for patients with age >65 years, GRACE score >= 140 and platelet count (PLT) >200 x 10(9)/L. Conclusion PDGF levels can predict short-term and long-term MACEs in NSTEMI patients after discharge, especially for patients with older age, higher GRACE score and baseline PLT > 200 x 10(9)/L. Key messages PDGF is a risk factor for short- and long-term MACEs in patients with STEMI. PDGF has a better prognostic value in patients with older age and PLT > 200 x 10(9)/L. Baseline plasma PDGF levels were positively correlated with GRACE score.