Objective To explore the predictive value of triglyceride-glucose (TyG) index and atherogenic index of plasma (AIP) for revascularization after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD). Methods A retrospective analysis was conducted on 787 CHD patients undergoing coronary angiography in follow-up after drug-eluting stent implantation at the First Medical Center of Chinese PLA General Hospital from January 2018 to January 2020. According to need for revascularization or not, they were divided into a revascularization group (315 cases) and a non-revascularization group (472 cases). SPSS 25.0 and R 4.1.3 software were used for statistical analysis. Based on data type, rank sum test, Chi-square test or Fisher exact test was used for comparison between groups. Univariate Cox regression analysis was utilized to analyze the influencing factors for revascularization, and multivariate Cox proportional hazard regression analysis was applied to analyze whether TyG index and AIP are independent predictors of revascularization. A time-dependent receiver operating characteristics (ROC) curve was plotted, and the area under the curve (AUC) was employed to identify the predictive values of TyG index and AIP for revascularization after PCI. Results There were significant differences between the revascularization group and the non-revascularization group in terms of left ventricular ejection fraction (LVEF), smoking history, white blood cell (WBC) count, platelet (PLT) count, fasting blood glucose (FBG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), systemic immune-inflammation index (SII), TyG index, and AIP (all P<0.05). Univariate Cox regression analysis found that, history of atrial fibrillation, smoking history, WBC count, PLT count, FBG, TC, TG, LDL-C, SII, TyG index, and AIP were risk factors for revascularization, while LVEF and HDL-C was a protective factor for revascularization. Multivariate Cox proportional hazards regression analysis showed that after adjusting for confounding factors, the increases in TyG index and AIP were still associated with the risk of revascularization. Kaplan-Meier survival curve analysis indicated that the cumulative incidence rate of revascularization was significantly higher in the third quantile array of TyG index and AIP than in the first and second quantile arrays (all Plog rank<0.001). Time-dependent ROC curve analysis revealed that in predicting revascularization, the AUC value of TyG index ranged from 0.571 to 0.618, that of AIP predicts was from 0.573 to 0.605, and the value of their combination was from 0.577 to 0.614 for revascularizatio. Conclusion TyG index and AIP have good predictive value for revascularization events in CHD patients after PCI.