Objective To analyze the influencing factors of septic shock after percutaneous nephrolithotomy based on lasso of logistic regression variable selection method, and provide valuable guidance for reducing the occurrence of septic shock. Methods The clinical data of 802 patients who underwent percutaneous nephrolithotripsy in Wenzhou Central Hospital from March 2009 to January 2020 were retrospectively analyzed. Lasso logistic model was performed to identify the influencing factors of septic shock after percutaneous nephrolithotomy. Cross validation method was used to choose λ for lasso-logistic model．In addition, the fitting accuracy and prediction effect of lasso-logistic regression model, full-variable logistic regression model and stepwise logistic regression model were compared using Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Results Lasso-logistic regression model showed that sex, stone size, preoperative urine culture, decrease in hemoglobin, and operation time were independent influencing factors of septic shock after percutaneous nephrolithotomy. The AIC and BIC of lasso-logistic regression model were 143.747 and 169.854, respectively, which were lower than those of full-variable logistic regression model and stepwise logistic regression model. Conclusion Lasso-logistic regression model of septic shock after percutaneous nephrolithotomy based on the above five factors has good fitting accuracy and predictive effect.