An inflammatory prognostic scoring system to predict the risk for adults with acute coronary syndrome undergoing percutaneous coronary intervention

This study aimed to investigate the value of the inflammatory prognostic score (IPS) system for predicting the risk of all-cause major adverse cardiovascular events (MACEs) and cardiac-related MACEs in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). Overall, 1384 patients with ACS who underwent PCI between January 2016 and December 2018 were consecutively enrolled. Demographic characteristics and related laboratory results for 11 inflammatory markers were collected. Least absolute shrinkage and selection operator (LASSO)-COX regression, Kaplan- Meier, restricted cubic spline (RCS), receiver operator characteristic curve (ROC), time-dependent ROC, and Cox hazard proportional regression were applied to explore the values of individual and IPS parameters. Based on the LASSO analysis, albumin (ALB) and monocyte-to-lymphocyte ratio (MLR) were included in the construction of the IPS system. A higher IPS was associated with a significantly worse long-term prognosis in the Kaplan-Meier analysis (log-rank p