Objective To improve and establish an RP-HPLC method for the determination of related substances of piracetam and its injection. Methods Using thermo syncronis C18(4.6 mm ×250 mm,5μm)chromatographic column, mobile phase was acetonitrile-phosphate buffer (adjust pH of 1.0 g/L potassium hydrogen phosphate solution to 6.0 with phosphoric acid), gradient elution with initial mobile phase 5% acetonitrile.The flow rate was 1 mL/min, detected at 205 nm.Five calibration factors of the known impurities were separately measured.the related substances were determined using main component self-compare with calibration factor.Results Piracetam and their related substances were well separated.The calibration curves of five known impurity A~E were linear within the concentration range measured.The average recoveries were 99.46%,98.21%,97.22%,100.23% and 97.58%, respectively(n=9), RSDs of the average recoveries were lower than 2.0%.The calibration factors of five known impurity A ~E were 1.1, 1.4,1.5,0.8, 1.4, respectively.Conclusion The method can be used to determine the related substances in piracetam and its injection.The related substances can be determined accurately using main component self-compare with calibration factor.

Objective:To investigate the diagnostic value of thyroid imaging report and data system (TIRADS) combined with BRAF V600E mutation detection in differentiating uncertain thyroid nodules by using fine needle aspiration cytology (FNAC), and to analyze the role of TIRADS classification in screening the nodules needed to be routinely detected for BRAF V600E mutation.Methods:The clinicopathological data of 337 thyroid nodules patients diagnosed with TIRADS classification, FNAC Bethesda classification, BRAF V600E mutation detection and postoperative histopathology from the Second Hospital of Hebei Medical University between January 2018 and August 2021 were retrospectively analyzed. The role of TIRADS classification, FNAC Bethesda classification and BRAF V600E mutation detection alone and the combined detection in the differentiation of benign and malignant thyroid nodules was also analyzed.Results:The postoperative histopathological result was regarded as the gold standard. The sensitivity of TIRADS classification, FNAC Bethesda classification and BRAF V600E mutation for thyroid cancer diagnosis was 76.0%, 88.1% and 80.4% respectively, and the corresponding specificity was 84.0%, 96.0% and 100.0%, respectively. Histologically, 37 (62.7%) of 59 nodules with FNAC uncertainty were malignant nodules after the surgery. The sensitivity and accuracy of BRAF V600E mutation detection in the diagnosis of FNAC uncertain nodules were 51.4% and 69.5%, respectively, while the sensitivity and accuracy of BRAF V600E mutation detection combined with TIRADS classification were 86.5% and 84.7%, respectively. The sensitivity and accuracy of BRAF V600E mutation detection combined with TIRADS classification were both improved ( P values were 0.002 and 0.049, respectively). The positive rate of BRAF V600E mutation in thyroid nodules increased step by step with the rise of risk degree in TIRADS classification, and the type 3 cases were lower than those in type 4a cases [14.3% (1/7) vs. 68.6% (24/35), P = 0.012], and there were no statistically significant differences among the adjacent groups above 4a (all P > 0.05). Conclusions:TIRADS combined with BRAF V600E mutation detection can improve the sensitivity and accuracy in the diagnosis of FNAC uncertain thyroid nodules. The BRAF V600E mutation rate of TIRADS 4a and above nodules is high, so routine detection is recommended.

Objective:To explore the therapeutic efficacy and factors influencing the sequential combination of nucleos(t)ide analogues (NAs) with pegylated interferon alpha (Peg-IFN-α) in the treatment of patients with chronic hepatitis B (CHB).Methods:144 CHB cases with NAs treatment for more than 1 year, HBV DNA < 20 IU/ml, hepatitis B surface antigen (HBsAg) quantification < 3 000 IU/ml, treated with a sequential combination of Peg-IFN-α treatment for 48 to 96 weeks, and followed up were selected from the Fifth Medical Center of the PLA General Hospital between May 2018 and May 2020. Intention-to-treat analysis was used to measure the HBsAg clearance rate at 96 weeks. The Kaplan-Meier method was used to compute the cumulative HBsAg clearance rate at 96 weeks. Univariate and multivariate logistic regression were used to analyze the factors influencing HBsAg clearance at 48 weeks of sequential combination therapy. Univariate and multifactorial COX proportional hazard models were used to analyze the factors influencing HBsAg clearance following 96 weeks of prolonged PEG-IFN-α treatment. The receiver operating characteristic curve was used to assess the predictive value of factors influencing HBsAg clearance. A Mann-Whitney U test was used to compare the measurement data between groups. The count data was compared using the χ2 test between groups. Results:41 (28.47%) cases achieved HBsAg clearance at 48 weeks of sequential combination therapy. The HBsAg clearance rate at 96 weeks was 40.28% (58/144) by intention-to-treat analysis. The Kaplan-Meier method computed that the cumulative HBsAg clearance rate at 96 weeks was 68.90%. Multivariate logistic regression analysis showed that HBsAg quantification at baseline ( OR = 0.090, 95% CI: 0.034-0.240, P < 0.001) and a 24-week drop in HBsAg level ( OR = 7.788, 95% CI: 3.408-17.798, P < 0.001) were independent predictors of HBsAg clearance in CHB patients treated sequentially in combination with NAs and Peg-IFN-α for 48 weeks. Receiver operating characteristic curve analysis showed that the baseline HBsAg quantification [area under the receiver operating characteristic curve (AUC), 0.911, 95% CI: 0.852-0.952)] and 24-week drop in HBsAg level (AUC = 0.881, 95% CI: 0.814-0.930) had equally good predictive value for 48-week HBsAg clearance, but there was no statistically significant difference between the two ( Z = 0.638, P = 0.523). The value of the combination of baseline HBsAg quantification and 24-week drop in HBsAg level (AUC = 0.981, 95% CI: 0.941-0.997) was superior to that of single baseline HBsAg quantification ( Z = 3.017, P = 0.003) and 24-week drop in HBsAg level ( Z = 3.214, P = 0.001) in predicting HBsAg clearance rate at 48 weeks. Multivariate COX proportional hazards model analysis showed that HBsAg quantification at 48 weeks ( HR = 0.364, 95% CI: 0.176-0.752, P = 0.006) was an independent predictor of HBsAg clearance with a prolonged course to 96 weeks of Peg-IFN-α treatment. Conclusion:The HBsAg clearance rate can be accurately predicted with baseline HBsAg quantification combined with a 24-week drop in HBsAg level in patients with CHB who are treated with a sequential combination of NAs and Peg-IFN-α therapy for 48 weeks. Prolonging the course of Peg-IFN-α treatment can enhance the HBsAg clearance rate's capability. An independent predictor of HBsAg clearance is HBsAg quantification at 48 weeks of sequential combination therapy with a prolonged course of 96 weeks of Peg-IFN-α treatment.