Infrared (IR) spectroscopy was employed to identify the Artemisinin and Piperaquine Tablets. Artemisinin and piperaquine was extracted separately by different solvents, and IR spectra were collected. IR absorption spectrum of the extract was concordant with the reference spectrum recorded in the Atlas of Infrared Spectra of Drugs, except for a group of small absorptions at 1 574 cm-1 for the artemisinin extract. It was concluded that IR method is stable and accurate, which can be used to identify the Artemisinin and Piperaquine Tablets.

This study was aimed to establish determination method of content and related substances of piperaquine in A rtemisinin and Piperaquine Tablets, and to set the limit of related substance. HPLC was adopted on a SHISEIDO CAPCELL PAK C18 (4.6 mm í 250 mm, 5 μm) using an isocratic mobile phase consisted of acetonitrile: 0.1%trichloroaceticacid:triethylamine (18:82:0.2, V:V:V, pH 2.5) with a flow rate of 1.0 mL·min-1. The column tempera-ture was kept at 30oC and the detection wavelength was set at 216 and 237 nm, separately for the determination of related substance and content. The results showed that piperaquine and its related impurity can be separated effec-tively. The concentration-response relationship was linear over the range of 0.01-0.2 mg·mL-1 (R2=0.999 9). The av-erage recovery rate was 98.14% (RSD=0.77%, n=9). The minimum detection limit was 0.06 μg·mL-1. The solution was stable for 12 h. It was concluded that the method was specific, accurate, sensitive and suitable for the determi-nation of content and related substances of piperaquine in A rtemisinin and Piperaquine Tablets.

Objective:To investigate the effect of local anesthesia in patients with a PI-RADS score of 5 and ECOG score ≥2 for prostate puncture.Methods:Retrospective analysis of case data of 33 patients admitted to the Subei People's Hospital for prostate puncture from April 2020 to April 2022. Age (82.5±3.6) years. There were 18 cases with hypertensive disease, 8 cases with diabetes mellitus, and 6 cases with both diabetes mellitus and hypertensive disease. Body mass index (25.2±3.5) kg/m 2. prostate-specific antigen (PSA)(131.5±69.7) ng/ml. prostate volume (38.5±21.4) ml. all patients had a PI-RADS score of 5 on multiparametric magnetic resonance (mpMRI) and an Eastern Cooperative Oncology Group (ECOG) score ≥2. All 33 cases in this group underwent trans-perineal targeted prostate puncture using local anesthesia at the tip of the prostate. The visual analog score (VAS) and visual numeric score (VNS) were applied by the same surgeon to assess the patient's pain level and satisfaction at the time of puncture (VAS-1 and VNS-1) and 30 min after puncture (VAS-2 and VNS-2), and to record the duration of the procedure and the occurrence of postoperative complications. Results:In this group of 33 cases, the VAS-1 score was (1.9±0.3) and the VAS-2 score was (0.1±0.2); the VNS-1 score was (2.9±0.2) and the VNS-2 score was (3.9±0.1). Postoperative pathological results indicated that one of the 33 patients had a negative puncture result (pathology report indicating interstitial inflammation), while the rest of the patients had a positive puncture pathology report (puncture pathology report indicating prostate cancer), with a positive rate of 97%. One case of postoperative carnal haematuria occurred, which gradually improved after the patient was advised to drink water and take alpha-blockers. No perineal hematoma occurred, and all patients did not suffer complications such as urinary tract infection, urinary retention, azoospermia, vagal reaction, and infectious shock.Conclusion:In patients with a PI-RADS score of 5 and ECOG score ≥2, the use of single-hole local anesthesia for performing trans-perineal targeted puncture biopsy has the advantages of good paroxysmal pain and high safety.

Objective:To investigate the factors affecting the effect of periprostatic nerve block (PNB), establish a prediction model of pain degree, and verify the prediction efficiency.Methods:The clinical data of 314 patients who underwent transperineal prostate biopsy in our hospital from June 2022 to January 2023 were retrospectively analyzed. The median age was 71 (65, 76) years, the median prostate-specific antigen (PSA) was 14.6 (10.70, 24.65) ng/ml, and the median puncture needle number was 21 (19, 23) needles, median prostate volume 45.86 (31.52, 67.96) ml, median body mass index (BMI)24.02(22.97, 25.33)kg/m 2, including 109 patients with a history of diabetes, 90 patients with a history of surgery, and 57 patients with a history of severe trauma. The patients were divided into mild pain group (1-3 points), moderate pain group (4-6 points) and severe pain group (7-10 points) according to the intraoperative visual analogue scale (VAS). According to the clinical characteristics, the factors affecting the effect of PNB were analyzed by univariate analysis and multiple ordered logistic regression method. R language was used to construct a nomogram model for predicting PNB effect, receiver operating characteristic (ROC) curve and calibration curve were drawn, and Hosmer-Lemeshow test was carried out to verify the prediction efficiency of the model. Results:The results of univariate analysis showed that 171 patients in the mild pain group had a median age of 71 (65, 75) years, a median PSA14.5 (9.6, 24.6) ng/ml, a median number of puncture needles of 20 (18, 22), and a median prostate volume of 34.94 (26.36, 45.12) ml, median BMI24.17(23.14, 25.79)kg/m 2, including 74 patients with a history of diabetes, 51 patients with a history of surgery, and 40 patients with a history of severe trauma; There were 110 patients in the moderate pain group, the median age was 71 (65, 76) years, the median PSA14.8 (11.03, 24.27) ng/ml, the median number of puncture needles was 23 (20, 24) needles, median prostatic volume 63.24 (49.14, 78.72) ml, median BMI23.91(22.58, 24.88)kg/m 2, including 26 patients with a history of diabetes, 29 patients with a history of surgery, and 10 patients with a history of severe trauma; In the severe pain group, 33 patients had a median age of 73 (67, 78) years, a median PSA14.6 (10.85, 34.80) ng/ml, and a median puncture needle number of 23 (22.5, 24) needles, median prostate volume 70.64 (61.50, 104.51) ml, median BMI24.32(23.00, 26.06)kg/m 2, including 9 patients with a history of diabetes, 10 patients with a history of surgery, and 7 patients with a history of severe trauma. The results of univariate analysis showed that the number of puncture needles ( P<0.01), prostate volume ( P<0.01), history of diabetes ( P=0.002) and history of major trauma ( P= 0.009) were the factors affecting the effect of PNB. Multiple logistic regression analysis showed that puncture needle number ( P=0.009), prostate volume ( P<0.01) and diabetes history ( P=0.041) were independent risk factors for PNB effect. The area under ROC curve (AUC) of the moderate and above pain prediction model was 0.872, P<0.01; the area under ROC curve of the severe pain prediction model was 0.817, P<0.01; the result of Hosmer-Lemeshow test of the moderate and above pain prediction model was χ2=5.001, P=0.757. The results of the severe pain prediction model were χ2=4.452 and P=0.814. The calibration curve was established, which showed that the prediction probability of pain degree was in good agreement with the actual risk. Conclusions:The number of puncture needles, prostate volume and history of diabetes are the risk factors affecting the effect of PNB. The prediction model of PNB effect based on this model can be used to predict the pain degree of patients undergoing prostate biopsy after PNB.

Objective To construct and verify a nomogram model for predicting social urinary control recovery in patients undergoing robot-assisted radical prostatectomy(RARP)immediately after extubation.Methods A retrospective analysis was conducted on the clinical data of 64 patients diag-nosed with prostate cancer and treated by a single surgeon.The immediate urinary control status of the patients after removal of the catheter was evaluated,and LASSO regression was used for feature screening.Multiple Logistic regression was performed on the selected features to determine independ-ent risk factors and establish a predictive model.And the discriminability,calibration,and clinical practicality of the model were evaluated using receiver operating curve(ROC),Hosmer Lemeshow test and calibration curve,and clinical decision curve(DCA)analysis.Results The variables in the outcome prediction model include D'Amico grading and distance of the levator muscle.The area under the ROC curve(AUC)was 0.742(95％CI,0.500 to 0.913,P＜0.001),indicating that the model had good discriminability.The calibration curve indicated that the model had good calibration ability.The DCA curve showed good clinical practicality.Conclusion The clinical predictive model developed inthis study can predict the recovery of immediate social urinary control in patients with RARP after surgery,which can further quantify the probability of achieving immediate social continence.

The correlation between hearing loss (HL) and physical performance in patients receiving maintenance hemodialysis (MHD) remains poorly investigated. This study explored the association between HL and physical performance in patients on MHD. Methods: This multicenter cross-sectional study was conducted between July 2020 and April 2021 in seven hemodialysis centers in Shanghai and Suzhou, China. The hearing assessment was performed using pure-tone average (PTA). Physical performance was assessed using the Timed Up and Go Test (TUGT), handgrip strength, and gait speed. Results: Finally, 838 adult patients (male, 516 [61.6%]; 61.2 ± 2.6 years) were enrolled. Among them, 423 (50.5%) had mild to profound HL (male, 48.6% and female, 53.4%). Patients with HL had poorer physical performance than patients without HL (p < 0.001). TUGT was positively correlated with PTA (r = 0.265, p < 0.001), while handgrip strength and gait speed were negatively correlated with PTA (r = –0.356, p < 0.001 and r = –0.342, p < 0.001, respectively). Physical performance in patients aged <60 years showed significant dose-response relationships with HL. After adjusting for confounders, the odds ratios (95% confidence intervals) for HL across the TUGT quartiles (lowest to highest) were 1.00 (reference), 1.15 (0.73–1.81), 1.69 (1.07–2.70), and 2.87 (1.69–4.88) (p for trend = 0.005). Conclusion: Lower prevalence of HL was associated with a faster TUGT and a stronger handgrip strength in patients on MHD.

Objective To analyze the effects of vesicoprostatic muscle(VPM)reconstruction on the early urinary control recovery and safety of patients undergoing robot-assisted radical prostatectomy(RARP).Methods A total of 128 patients who underwent RARP in our hospital during Sep.1,2021 and Aug.31,2023 were enrolled and divided into the non-reconstruction group(n=64)and reconstruction group(n=64)using random number table method.The reconstruction group received Montsouris+VPM reconstruction surgery,while the non-reconstructive group underwent Montsouris surgery only.Urinary control and perioperative data were collected with telephone interview,outpatient follow-up and inpatient records.The two groups were matched using overlap weighting and the Kaplan-Meier method was used to calculate urinary incontinence rates at 1,2 and 3 months after extubation.Early urinary control(3 months after extubation),operation time,intraoperative bleeding,positive rate of incision margin,and incidence of early postoperative complications(＜30 days)(Clavien-Dindo scale)were compared between the two groups.Results The recovery rate of urinary control at 1,2 and 3 months after extubation was significantly higher in the reconstruction group than that in the non-reconstruction group(33.9％vs.11.2％;46.7％vs.16.1％;70.6％vs.45.6％,P＜0.05),but the positive rate of resection margin was lower(16.1％vs.41.7％,P＜0.05).There were no significant differences in operation time,intraoperative bleeding and early postoperative complications between the two groups(P＞0.05).Conclusion VPM reconstruction can improve urinary control recovery in RARP patients early after extubation without increasing the risk of surgery.

Objective To construct and verify a nomogram model for predicting social urinary control recovery in patients undergoing robot-assisted radical prostatectomy(RARP)immediately after extubation.Methods A retrospective analysis was conducted on the clinical data of 64 patients diag-nosed with prostate cancer and treated by a single surgeon.The immediate urinary control status of the patients after removal of the catheter was evaluated,and LASSO regression was used for feature screening.Multiple Logistic regression was performed on the selected features to determine independ-ent risk factors and establish a predictive model.And the discriminability,calibration,and clinical practicality of the model were evaluated using receiver operating curve(ROC),Hosmer Lemeshow test and calibration curve,and clinical decision curve(DCA)analysis.Results The variables in the outcome prediction model include D'Amico grading and distance of the levator muscle.The area under the ROC curve(AUC)was 0.742(95％CI,0.500 to 0.913,P＜0.001),indicating that the model had good discriminability.The calibration curve indicated that the model had good calibration ability.The DCA curve showed good clinical practicality.Conclusion The clinical predictive model developed inthis study can predict the recovery of immediate social urinary control in patients with RARP after surgery,which can further quantify the probability of achieving immediate social continence.