Objective To explore the influencing factors for complete resolution of hypertension after surgery in patients with unilateral primary aldosteronism (PA) and to construct a predictive model. Methods One hundred and twenty eight patients with unilateral PA who underwent laparoscopic adrenalectomy in our hospital from January 2018 to December 2021were included. Based on whether hypertension was completely cured after surgery, the patients were divided into a complete cure group (n = 70) and a non-cure group (n = 58). Clinical and biochemical data before operation were collected. LASSO logistic regression was used to analyze the independent predictors of complete resolution of hypertension after surgery. The predictive model was visualized through nomogram. Results There were 70 patients (54. 7% ) with complete resolution of hypertension after surgery. LASSO logistic regression analysis showed that gender, duration of hypertension, serum creatinine and uric acid were independent predictors for complete resolution of hypertension after surgery. A nomogram-based predictive model was constructed. The model showed good discriminatory ability in both training and validation sets. Their AUC values were 0． 75 and 0． 88, respectively. Calibration curves indicated good model fit. Decision curve analysis (DCA) indicated that prediction probabilities of this model within the range of 0. 1 to 1 had good clinical applicability. Conclusions A predictive model for complete resolution of hypertension after surgery in patients with unilateral PA is constructed based on LASSO logistic regression analysis. It has higher predictive accuracy and clinical application value. It can support individualized management for hypertension resolution.