1.Clinical characteristics and risk factors in patients with upper urinary tract stones complicated with non-alcoholic fatty liver disease
Enxu XIE ; Xuelian GU ; Xiaohan CHU ; Shengwei ZHANG ; Xinze XIA ; Xiaofu WANG ; Changwei LIU ; Changbao XU
Journal of Modern Urology 2025;30(7):571-575
Objective To explore the clinical characteristics and risk factors of upper urinary tract stones complicated with non-alcoholic fatty liver disease(NAFLD),so as to provide reference for the prevention of this disease.Methods The clinical data of 158 NAFLD patients undergoing surgical treatment in our hospital during Jan.2022 and Jul.2023 were retrospectively analyzed.According to whether the patients were complicated with NAFLD,they were divided into the NAFLD group(n=56)and non-NAFLD group(n=102).The general data,laboratory indexes and 24-h urinary metabolic indexes were compared between the two groups,and the risk factors were analyzed with univariate and multivariate logistic regression analyses.Results Compared with the non NAFLD group,the NAFLD group had higher BMI[(28.17±4.17)vs.(24.11±3.72),P<0.001],blood uric acid[(354.13±111.01)μmol/L vs.(294.41±93.72)μmol/L,P<0.001],and 24-h urinary oxalate level[(37.74±15.00)mmol vs.(27.73±15.27)mmol,P<0.001].Multivariate logistic analysis showed that BMI(OR=1.311,P<0.001),24-h urinary oxalate(OR=1.046,P=0.004),and 24-h urinary magnesium(OR=0.599,P=0.002)were the independent factors for NAFLD with upper urinary tract stones.Conclusion NAFLD complicated with upper urinary tract stones is significantly associated with high BMI,high 24-h urinary oxalate,and low 24-h urinary magnesium.
2.Analysis of risk factors of postoperative fungal infection in patients with upper urinary tract calculi and construction of a risk prediction nomograph model
Haofang ZHANG ; Shuo WANG ; Xiaofu WANG ; Shengwei ZHANG ; Enxu XIE ; Yifan HU ; Changbao XU
Chinese Journal of Urology 2025;46(3):205-212
Objective:To explore the risk factors of fungal infection in patients with upper urinary tract calculi after surgery and construct a risk prediction nomograph model.Methods:The clinical data of 2 329 patients who had undergone upper urinary calculus surgery in the Second Affiliated Hospital of Zhengzhou University from January 2019 to December 2023 were retrospectively analyzed. According to the presence or absence of fungal infection within 3 months after surgery, the patients were divided into fungal infection group (n=97) and non-fungal infection group (n=2 232). Univariate logistic regression analysis and LASSO regression were used to screen the potential influencing factors. The enrolled patients were randomly divided into a training set (n=1 630) and a validation set (n=699) at a ratio of 7∶3. Based on the training set, multivariate logistic stepwise regression was used to screen independent risk factors and to construct a nomogram. Based on the validation set, ROC curve, calibration curve and decision curve were drawn to evaluate the model's differentiation, accuracy and clinical applicability.Results:Univariate logistic regression analysis showed that female gender, age, diabetes mellitus, history of malignant tumor, long-term bedridden disease, long-term use of immunosuppressants, hemoglobin on admission, serum creatinine, uric acid, white blood cell count on admission, neutrophil count on admission, degree of hydronephrosis, preoperative indwelling ureteral stent, duration of surgery, postoperative fever within 48 hours, white blood cell count, neutrophil count, CRP, urinary catheter indwelling time, length of hospital stay, use of carbapenem antibiotics, the duration of antibiotic use and the duration of postoperative ureteral stent indwelling were related to fungal infection. screening after upper urinary calculi surgery ( P<0.05). Univariate logistic regression results were screened after LASSO regression. Multivariate logistic stepwise regression analysis for the training set showed that age ( OR=1.041, 95% CI 1.017-1.066, P=0.001), diabetes( OR=3.138, 95% CI 1.517-6.492, P=0.002), long-term bed-rest ( OR=10.627, 95% CI 3.671-30.767, P<0.001), history of malignant tumor( OR=11.934, 95% CI 5.473-26.022, P<0.001), white blood cell count on admission( OR=1.276, 95% CI 1.134-1.436, P<0.001), postoperative fever within 48 hours ( OR=3.940, 95% CI 1.956-7.937, P<0.001), use of carbapenem antibiotics( OR=5.826, 95% CI 2.783-12.196, P<0.001), length of hospital stay( OR=1.201, 95% CI 1.131-1.277, P<0.001), and postoperative retention time of ureteral stent( OR=1.205, 95% CI 1.104-1.315, P<0.001) were independent risk factors for fungal infection after upper urinary calculi surgery.The nomogram model was constructed based on independent risk factors. The results of ROC curve analysis showed that the AUC of the nomogram model in the prediction validation set was 0.955(95% CI 0.926-0.984). The calibration curve of the model was well fitted to the ideal curve. The results of decision curve analysis proved that the net benefit rate of the prediction model within the threshold range was higher than the two extreme lines when the threshold probability was <86%, indicating that the model was of good clinical applicability. Conclusions:Age, diabetes, history of malignant tumor, long-term bed-rest disease, white blood cell count on admission, postoperative fever within 48 hours, use of carbapenem antibiotics, length of hospital stay, and postoperative retention time of ureteral stent are independent risk factors for fungal infection in patients with upper urinary calculi after surgery. The model constructed in this study has good predictive ability and clinical applicability for the risk of fungal infection in patients with upper urinary calculi after surgery.
3.Clinical characteristics and risk factors in patients with upper urinary tract stones complicated with non-alcoholic fatty liver disease
Enxu XIE ; Xuelian GU ; Xiaohan CHU ; Shengwei ZHANG ; Xinze XIA ; Xiaofu WANG ; Changwei LIU ; Changbao XU
Journal of Modern Urology 2025;30(7):571-575
Objective To explore the clinical characteristics and risk factors of upper urinary tract stones complicated with non-alcoholic fatty liver disease(NAFLD),so as to provide reference for the prevention of this disease.Methods The clinical data of 158 NAFLD patients undergoing surgical treatment in our hospital during Jan.2022 and Jul.2023 were retrospectively analyzed.According to whether the patients were complicated with NAFLD,they were divided into the NAFLD group(n=56)and non-NAFLD group(n=102).The general data,laboratory indexes and 24-h urinary metabolic indexes were compared between the two groups,and the risk factors were analyzed with univariate and multivariate logistic regression analyses.Results Compared with the non NAFLD group,the NAFLD group had higher BMI[(28.17±4.17)vs.(24.11±3.72),P<0.001],blood uric acid[(354.13±111.01)μmol/L vs.(294.41±93.72)μmol/L,P<0.001],and 24-h urinary oxalate level[(37.74±15.00)mmol vs.(27.73±15.27)mmol,P<0.001].Multivariate logistic analysis showed that BMI(OR=1.311,P<0.001),24-h urinary oxalate(OR=1.046,P=0.004),and 24-h urinary magnesium(OR=0.599,P=0.002)were the independent factors for NAFLD with upper urinary tract stones.Conclusion NAFLD complicated with upper urinary tract stones is significantly associated with high BMI,high 24-h urinary oxalate,and low 24-h urinary magnesium.
4.Analysis of risk factors of postoperative fungal infection in patients with upper urinary tract calculi and construction of a risk prediction nomograph model
Haofang ZHANG ; Shuo WANG ; Xiaofu WANG ; Shengwei ZHANG ; Enxu XIE ; Yifan HU ; Changbao XU
Chinese Journal of Urology 2025;46(3):205-212
Objective:To explore the risk factors of fungal infection in patients with upper urinary tract calculi after surgery and construct a risk prediction nomograph model.Methods:The clinical data of 2 329 patients who had undergone upper urinary calculus surgery in the Second Affiliated Hospital of Zhengzhou University from January 2019 to December 2023 were retrospectively analyzed. According to the presence or absence of fungal infection within 3 months after surgery, the patients were divided into fungal infection group (n=97) and non-fungal infection group (n=2 232). Univariate logistic regression analysis and LASSO regression were used to screen the potential influencing factors. The enrolled patients were randomly divided into a training set (n=1 630) and a validation set (n=699) at a ratio of 7∶3. Based on the training set, multivariate logistic stepwise regression was used to screen independent risk factors and to construct a nomogram. Based on the validation set, ROC curve, calibration curve and decision curve were drawn to evaluate the model's differentiation, accuracy and clinical applicability.Results:Univariate logistic regression analysis showed that female gender, age, diabetes mellitus, history of malignant tumor, long-term bedridden disease, long-term use of immunosuppressants, hemoglobin on admission, serum creatinine, uric acid, white blood cell count on admission, neutrophil count on admission, degree of hydronephrosis, preoperative indwelling ureteral stent, duration of surgery, postoperative fever within 48 hours, white blood cell count, neutrophil count, CRP, urinary catheter indwelling time, length of hospital stay, use of carbapenem antibiotics, the duration of antibiotic use and the duration of postoperative ureteral stent indwelling were related to fungal infection. screening after upper urinary calculi surgery ( P<0.05). Univariate logistic regression results were screened after LASSO regression. Multivariate logistic stepwise regression analysis for the training set showed that age ( OR=1.041, 95% CI 1.017-1.066, P=0.001), diabetes( OR=3.138, 95% CI 1.517-6.492, P=0.002), long-term bed-rest ( OR=10.627, 95% CI 3.671-30.767, P<0.001), history of malignant tumor( OR=11.934, 95% CI 5.473-26.022, P<0.001), white blood cell count on admission( OR=1.276, 95% CI 1.134-1.436, P<0.001), postoperative fever within 48 hours ( OR=3.940, 95% CI 1.956-7.937, P<0.001), use of carbapenem antibiotics( OR=5.826, 95% CI 2.783-12.196, P<0.001), length of hospital stay( OR=1.201, 95% CI 1.131-1.277, P<0.001), and postoperative retention time of ureteral stent( OR=1.205, 95% CI 1.104-1.315, P<0.001) were independent risk factors for fungal infection after upper urinary calculi surgery.The nomogram model was constructed based on independent risk factors. The results of ROC curve analysis showed that the AUC of the nomogram model in the prediction validation set was 0.955(95% CI 0.926-0.984). The calibration curve of the model was well fitted to the ideal curve. The results of decision curve analysis proved that the net benefit rate of the prediction model within the threshold range was higher than the two extreme lines when the threshold probability was <86%, indicating that the model was of good clinical applicability. Conclusions:Age, diabetes, history of malignant tumor, long-term bed-rest disease, white blood cell count on admission, postoperative fever within 48 hours, use of carbapenem antibiotics, length of hospital stay, and postoperative retention time of ureteral stent are independent risk factors for fungal infection in patients with upper urinary calculi after surgery. The model constructed in this study has good predictive ability and clinical applicability for the risk of fungal infection in patients with upper urinary calculi after surgery.

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