Objective To construct a Nomogram prediction model for short-term prognosis of coronary heart disease(CAD)patients with hypertension after percutaneous coronary intervention(PCI)based on re-nin-angiotensin-aldosterone(ALD)system(RAAS)and Syntax score of coronary artery disease,so as to pro-vide a favorable basis for improving the prognosis of patients.Methods A total of 310 CAD patients with hy-pertension admitted to Jintang Hospital of West China Hospital of Sichuan University from June 2019 to April 2023 were selected.According to the ratio of 7:3,310 patients were randomly divided into a training set(217 cases)and a validation set(93 cases).All patients underwent PCI and were followed up for 3 months.The training set was further divided into poor prognosis group(n=68)and good prognosis group(n=148)ac-cording to the incidence of major adverse cardiovascular events(MACE).Multivariate Logistic regression model was used to analyze the risk factors of poor prognosis.The Nomogram prediction model was construc-ted by the R language in the training set,and the calibration curve and receiver operating characteristic(ROC)curve were used to verify the prediction efficiency of the model in the validation set.Results There was no significant difference in the general data between the training set and the validation set(P>0.05).MACE oc-curred in 68 cases(31.34％)in the training set and 28 cases(30.11％)in the validation set.There were sig-nificant differences in age,left ventricular ejection fraction,creatine kinase isoenzyme(CK-MB),number of diseased vessels,renin activity(PRA),angiotensin Ⅱ(ANG Ⅱ),ALD,preoperative Syntax score and N-termi-nal pro-B-type brain natriuretic peptide(NT-proBNP)between the good prognosis group and the poor prog-nosis group(P<0.05).Pearson correlation analysis showed that PRA,ANGⅡ,ALD were positively correla-ted with preoperative Syntax score(r=0.613,0.728,0.695,P<0.05).Lasso regression analysis included age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD,preoperative Syntax score.Multivariate Logistic regression analysis showed that age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD and preoperative Syntax score were independent influencing factors for poor short-term prognosis of PCI treatment(OR=4.448,5.153,4.571,3.875,4.914,4.468,5.224,P<0.05).The ROC curve showed that the area under the curve(AUC)of the Nomogram prediction model for poor short-term prognosis of CAD patients with hypertension after PCI in the training set and validation set were 0.884(95％CI 0.837-0.931)and 0.885(95％CI 0.818-0.953),respectively.The calibration curve showed that the prediction probability of poor short-term outcome of PCI in the training set and the validation set was basically consistent with the actual probability.Conclusion The short-term prognosis of CAD patients with hypertension after PCI is affected by age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD,preoperative Syntax score and other factors.The Nomogram prediction model based on the above factors has high predictive value and good predictive utility.