AIM　To study the differences of the pharmacokinetics and tissue distribution of two enantiomers of nicardipine in the rabbit. METHODS　Biological samples were diluted by 1 mol*L-1 NaOH solution and extracted with n-hexane - ethyl acetate (1∶1). The concentrations of S-nicardipine and R-nicardipine in samples were determined by coupled achiral C18 column (150 mm×4.6 mm, 5 μm) and chiral OJ column (250 mm×4.6 mm, 10 μm) chromatography. RESULTS　The racemic nicardipine and the enantiomers in sample were separated well by the coupled system. The linear range was 55-550 ng*mL-1 for both enantiomers. The within-day and between-days RSD (n=5) were 5.25% and 8.97%, and the relative recoveries were 99.99% and 97.10% for R- and S- enantiomer, respectively. The mean Tmax, Cmax and AUC values were (2.49±0.03) h, (134±2) ng*mL-1 and (1082±32) ng*mL-1*h for S-nicardipine and (1.24±0.05) h, (109±2) ng*mL-1 and (778±22) ng*mL-1*h for R-nicardipine. The concentration of S-nicardipine were generally higher than that of R-nicardipine in main target tissues and cells. CONCLUSION There were significant differences between the two enantiomers of nicardipine in rabbit in pharmacokinetics and tissue distribution.

Nonalcoholic fatty liver disease (NAFLD) has become the most important chronic liver disease in the world, but there is still no approved drug for clinical practice. Due to the heterogeneity of NAFLD itself, although drug therapy is being developed, the response rate seems to remain low. In order to meet the needs of clinical trial design and provide accurate information for drug developers, relevant scholars have proposed to change the name of NAFLD to metabolic associated fatty liver disease This article summarizes the origin of NAFLD heterogeneity and the background of NAFLD renaming, so as to provide new ideas for accelerating the development of new therapies.

Objective To analyze the pollution characteristics of 16 polycyclic aromatic hydrocarbons (PAHs) in atmospheric PM_2.5 in Yanta District and Lianhu District of Xi'an City, and assess their health risks to exposed populations through inhalation pathways. Methods From 2020 to 2022, monitoring sites were set up in Yanta District and Lianhu District of Xi'an City, and PM_2.5 samples were collected regularly every month. The mass concentrations of PAHs were determined. The analysis and evaluation were carried out according to different years, regions, and seasons. The sources of PAHs in the atmosphere were identified by calculating characteristic ratios. Health risk assessments through inhalation routes were conducted for certain polycyclic aromatic hydrocarbons and their total carcinogenic equivalent concentrations. Results The average mass concentrations of PAHs in Yanta District and Lianhu District were 6.38 ng/m³ and 6.06 ng/m³, respectively, with no statistically significant difference (P>0.05). Except for fluoranthene, there was no statistically significant difference in other PAHs between regions (P>0.05). Except for acenaphthylene and anthracene, the concentrations of other PAHs showed a decreasing trend year by year (P<0.05). The total mass concentration of PAHs in both urban areas showed a trend of winter>spring>autumn>summer (P<0.05), and all categories of PAHs showed the highest levels in winter and the lowest levels in summer (P<0.05). The proportion of 5-ring PAHs was the highest in summer, while the proportion of 4-ring PAHs was the highest in winter. The main sources of atmospheric PAHs in the two districts were a mixture of coal combustion, motor vehicle emissions, and biomass burning. The HQ values of benzo[a]pyrene and TEQs in both districts were less than 1. The carcinogenic risk through inhalation pathways for TEQs was 1.15×10^-6, exceeding the acceptable level (1×10^-6). Conclusion The pollution of PAHs in Yanta District and Lianhu District of Xi'an City continues to decrease, with seasonal differences. The main sources are mixed sources of coal combustion, motor vehicle emissions, and biomass burning, and overall PAHs pose a potential carcinogenic risk to residents.

Objective To analyze the pollution characteristics of 16 polycyclic aromatic hydrocarbons (PAHs) in atmospheric PM_2.5 in Yanta District and Lianhu District of Xi'an City, and assess their health risks to exposed populations through inhalation pathways. Methods From 2020 to 2022, monitoring sites were set up in Yanta District and Lianhu District of Xi'an City, and PM_2.5 samples were collected regularly every month. The mass concentrations of PAHs were determined. The analysis and evaluation were carried out according to different years, regions, and seasons. The sources of PAHs in the atmosphere were identified by calculating characteristic ratios. Health risk assessments through inhalation routes were conducted for certain polycyclic aromatic hydrocarbons and their total carcinogenic equivalent concentrations. Results The average mass concentrations of PAHs in Yanta District and Lianhu District were 6.38 ng/m³ and 6.06 ng/m³, respectively, with no statistically significant difference (P>0.05). Except for fluoranthene, there was no statistically significant difference in other PAHs between regions (P>0.05). Except for acenaphthylene and anthracene, the concentrations of other PAHs showed a decreasing trend year by year (P<0.05). The total mass concentration of PAHs in both urban areas showed a trend of winter>spring>autumn>summer (P<0.05), and all categories of PAHs showed the highest levels in winter and the lowest levels in summer (P<0.05). The proportion of 5-ring PAHs was the highest in summer, while the proportion of 4-ring PAHs was the highest in winter. The main sources of atmospheric PAHs in the two districts were a mixture of coal combustion, motor vehicle emissions, and biomass burning. The HQ values of benzo[a]pyrene and TEQs in both districts were less than 1. The carcinogenic risk through inhalation pathways for TEQs was 1.15×10^-6, exceeding the acceptable level (1×10^-6). Conclusion The pollution of PAHs in Yanta District and Lianhu District of Xi'an City continues to decrease, with seasonal differences. The main sources are mixed sources of coal combustion, motor vehicle emissions, and biomass burning, and overall PAHs pose a potential carcinogenic risk to residents.

ObjectiveTo explore the effects of anxiety and depression on Internet gaming disorder in medical students， and to evaluate the moderating effect of gender， so as to provide references for the prevention and intervention of Internet gaming disorder in medical students. MethodsIn November 2021， a total of 11 771 medical students from a medical college in Sichuan province participated in an online survey through Wenjuanxing platform. Participants completed the Self-rating Anxiety Scale （SAS）， Self-rating Depression Scale （SDS） and the nine-item Internet Gaming Disorder Scale-Short Form （IGDS9-SF）. Then a hierarchical multiple regression analysis was conducted to discuss the moderating role of gender in the relationships between anxiety， depression and Internet gaming disorder in medical students. Results①Males scored lower on SDS （t=-8.302， P<0.01）， and higher on IGDS9-SF than females （t=33.384， P<0.01）. ②SAS score of medical students was positively correlated with SDS score （r=0.735， P<0.01）， SAS and SDS scores were positively correlated with IGDS9-SF score in medical students （r=0.288， 0.238， P<0.01）. ③Anxiety and depression could positively predict Internet gaming disorder （β=0.245， 0.058， t=18.864， 4.444， P<0.01）. ④Gender played a moderating effect between anxiety and Internet gaming disorder （β=-0.194， t=-4.518， P<0.01）. ConclusionAnxiety and depression have a positive predictive effect on Internet gaming disorder in medical students. Furthermore， the effects of anxiety on Internet gaming disorder are moderated by gender， and the anxiety of male students exhibits a markedly stronger impact on Internet gaming disorder than that of female students.

OBJECTIVE To establish a total quality management system for pharmacy intravenous admixture services （PIVAS）， in order to promote the standardization， accuracy and rationalization of clinical intravenous infusion. METHODS Based on information system in PIVAS， the management system and quality monitoring items of the whole process before， during and after PIVAS infusion preparation were formulated. The quality control and quality improvement were carried out regularly with quality management tools and methods such as PDCA （plan， do， check， process） cycle， quality control circle， and root cause analysis. The main quality control indexes of PIVAS were retrospectively analyzed before （in 2019） and after PDCA cycle management （in 2020 and 2021）. RESULTS The indexes of quality monitoring in the whole process of PIVAS infusion preparation， such as the score of drug quality management， the drug residue qualification rate and the qualified rate of drug content in infusion， were increased from 92 points， 79%， 86.4% in 2019 to 99 points， 92%， 99.8% in 2021， respectively. The indexes of safe and rational drug use， such as the ratio of intravenous irrational medical orders， the rate of drug repercussion， the rate of antibiotics use， and the rate of TCM injection use decreased from 0.98%， 6.1%， 40.55%， 39.70% to 0.23%， 3.2%， 37.18%， 26.00%， respectively. CONCLUSIONS The established total quality management system for PIVAS can improve the quality management level in the infusion preparation process， improve the quality of infusion preparation and promote clinical safe and rational drug use.

AIM:To compare the differences of ocular biometric parameters of age-related cataract between Tibetan and Han ethnic groups, and to analyze the distribution characteristics of ocular biometric parameters in Tibetan cataract patients.METHODS:Retrospective cohort study. A total of 661 patients(1 030 eyes)with age-related cataract confirmed in the hospital between January 2019 and December 2020 were enrolled. The parameters of axial length, anterior chamber depth, keratometry, corneal astigmatism and astigmatic axis were measured by IOL Master 500 in 483 cases(739 eyes)of Tibetan age-related cataract patients and 178 cases(291 eyes)of Han patients.RESULTS:The axial length, anterior chamber depth and corneal astigmatism of the Tibetan patients with age-related cataract were 23.33(22.81, 23.86)mm, 3.04(2.79, 3.30)mm and 0.73(0.47, 1.07)D. The mean keratometry was 43.89±1.35 D. The results indicated that Tibetan cataract patients had shorter axial lengths and smaller keratometry compared to Han patients(all P<0.05). Age in Tibetan patients was negatively correlated with axial length and anterior chamber depth, and positively correlated with keratometry(all P<0.05). Tibetan male patients had longer axial lengths, deeper anterior chambers, and flatter corneas compared to female patients(all P<0.05).CONCLUSION:There were differences in ocular biometric parameters between age-related cataract patients of Tibetan and Han ethnicities. The distribution of ocular biometric parameters in Tibetan cataract patients varied across different age groups and gender groups.