Risk Prediction Model And Scoring System Analysis In Patients With No Reflow During Percutaneous Coronary Intervention

Objectives:To develop a risk score model to identify the high risk patients in terms of no reflow during percutaneous coronary intervention(PCI).Methods:Total 3137 patients who had undergone percutaneous coronary intervention were classified as normal reflow group and no reflow group.The clinical and procedure data were evaluated with Generalized Estimated Equation(GEE)analysis.Based on the independent risk factors we developed a risk score model which provide risk stratification.The authenticity and reliability of the GEE risk model were validated using receiver operator characteristic curve(ROC).Results:Multivariate logistic regression analysis demonstrated that low LVEF,high LDL-C,TMI?2 before procedure and non-LCX target vessels were independent correlate predictors of no reflow.Total value 0?3 and 4-9 were arranged to low and high risk level,respectively.The risk score model demonstrated a good risk prediction ability.Conclusions:The development of no reflow phenomenon in the patients during percutaneous coronary interventions can be predicted efficiently by our risk score model.