Abstract: Objective: To investigate the influencing factors of resting heart rate acceleration(RHR) in patients with primary hypertension and establish a risk prediction model. Methods: A study was conducted on 306 patients with primary hypertension admitted to West China Hospital of Sichuan University from February 2022 to January 2023. Patients were divided into resting heart rate acceleration group(RHR＞80 beats/min, n=187) and the normal group(RHR≤80 beats/min, n=119). The general information, disease-related factors of the two groups of patients were compared. Multivariate logistic regression was used to analyze the risk factors of resting heart rate acceleration, and a column chart model was established and verified. Results: The results of multifactor analysis based on LASSO regression showed that smoking history, diabetes history, family monthly income, hypertension course, creatinine clearance rate, blood potassium, C-reactive protein and brachial-ankle pulse wave velocity were independent influencing factors for the acceleration of resting heart rate in hypertensive patients(P＜0.05). The concordance index(C-index) of the column chart model predicting the risk of resting heart rate acceleration in patients with primary hypertension was 0.968. The calibration curve of the column chart model showed that the predicted values were basically consistent with the actual observed values. The area under the receiver operating characteristic(ROC) curve(AUC) of the column chart model was 0.968(95% CI: 0.946-0.990), with sensitivity and specificity of 83.33% and 92.05%, respectively. Conclusion: Smoking history, diabetes history and family monthly income are the influencing factors of resting heart rate acceleration in patients with primary hypertension. The column chart model established in this study has high accuracy and discrimination in predicting resting heart rate acceleration in patients with primary hypertension.