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.

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.

Objective:To establish a method for the detection of bacterial endotoxin in terbutaline sulfate active pharmaceutical ingredients(API).Methods:The method of terbutaline sulfate was verified by gel method,and interference test and bacterial endotoxin test were performed on three batches of samples.Results:The limit for terbutaline sulfate API that can be used for bacterial endotoxin test was set as"the amount of endotoxin contained in terbutaline sulfate should be less than 0.50 EU per 1 mg".Conclusion:Limulus gel method can be used to detect bacterial endotoxin of terbutaline sulfate API.

Objective:To compare the differences in the results of 24-hour urine citric acid, oxalic acid, and phosphoric acid detection between thymol and concentrated hydrochloric acid preserved urine.Methods:Urine samples were collected from 50 patients with upper urinary tract stones who were admitted to the Second Affiliated Hospital of Zhengzhou University from July 2023 to August 2023. There were 38 males and 12 females, with the age of (45.52 ± 13.68) years old. On the second day of admission, patients were required to empty their bladders in the morning and collect urine over a 24-hour period. The urine was evenly divided and stored in two sealed plastic containers. In one container, concentrated hydrochloric acid (15 ml, concentration of 6 mmol/L) was added as a preservative, forming the hydrochloric acid group. In the other container, 2 g of thymol was added as a preservative, forming the thymol group. The concentration of oxalic acid, citric acid, and phosphoric acid in urine were measured, and the measurement results were multiplied by the total amount of urine to obtain the final measurement results. The differences in the measurement results of citric acid, oxalic acid, and phosphoric acid between two groups were compared.Results:In the concentrated hydrochloric acid group, the median value of citric acid was 160.87(95.37, 245.61) mg/24h, the median value of oxalic acid was 33.09(26.32, 39.37) mg/24h, and the mean value of phosphoric acid was (731.06 ± 240.62) mg/24h. In the thymol group, the median value of citric acid was 340.40(166.56, 561.77) mg/24h, the median value of oxalic acid was 33.91(26.51, 44.56) mg/24h, and the mean value of phosphoric acid was (759.07 ± 273.23) mg/24h. Compared with the thymol group, the citric acid level in the concentrated hydrochloric acid group was significantly lower ( Z=4.31, P< 0.001), but there was no significant difference in oxalic acid ( Z=0.85, P=0.393) and phosphoric acid ( t=1.65, P=0.106) between the two groups. Conclusions:Compared with thymol, the results of 24 h urine citric acid with concentrated hydrochloric acid as preservative is lower, but there is no significant difference between oxalic acid and phosphoric acid.The use of thymol as a preservative may be more suitable than concentrated hydrochloric acid for the detection of citric acid, oxalic acid and phosphoric acid in 24-hour urine metabolism analysis.