OBJECTIVE To optimize the prescription pre-review system in our hospital and evaluate its application effects. METHODS Aiming at the problems of imperfect rule base and high false positive rate in the early operation of the system， optimization measures were taken， including improving the content of the rule base， adjusting the interception level and prompt mode， refining the working model of prescription review pharmacists， and strengthening clinical communication. A retrospective cohort study was conducted， with prescription data from June to December 2023 （before optimization） as the control group and June to December 2024 （after optimization） as the observation group. Through inter group comparative analysis， the actual effect of optimizing the prescription pre-approval system was evaluated. RESULTS The prescription qualified rate increased from （82.51± 4.04）% before optimization to （90.98±1.55）% after optimization； the false positive rate decreased from （20.87±1.64）% before optimization to （7.41±2.04）% after optimization. The monthly range of prescription qualified rate narrowed from 10.24% to 4.11%， and the coefficient of variation decreased from 4.92% to 1.73%. The monthly range of false positive rate slightly increased from 4.40% to 5.34%， the coefficient of variation rose from 8.32% to 26.18%. CONCLUSIONS Through multi-dimensional optimizations of the prescription pre-review system in our hospital， its prescription review efficiency has been significantly enhanced， the quality of prescriptions has steadily improved， and the accuracy of reviews has notably improved.

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

Objective To investigate the biomechanical differences in plantar pressure,postural stability,and plantar Visual Analogue Scale(VAS)scores between normal feet and unilateral/bilat-eral pes cavus,reveal their unique neuromechanical compensation mechanisms,and construct a sta-bility early warning model based on the minimum center of pressure(COP)trajectory classification.Methods A total of 70 patients with pes cavus from December 2023 to October 2024 were selected as study subjects,including 33 patients in the unilateral pes cavus group and 37 patients in the bilat-eral pes cavus group.During the same period,32 normal feet were included as normal foot group.A flat-panel plantar pressure testing system was used to collect dynamic plantar pressure data and COP trajectories from three groups at a self-selected walking speed.There were no statistically significant differences in baseline data such as age,gender,and body mass index among the three groups(P＞0.05).One-way analysis of variance and the Wilcoxon rank-sum test were used to compare the differences in maximum pressure,contact area,VAS scores,and the 95％confidence ellipse area of the COP among the three groups in 10 plantar regions.Results Patients with pes cavus exhibited lower peak pressure in the MF region compared to normal feet,while higher peak pressure in the M2,M3,and MH regions.Patients with bilateral pes cavus showed lower peak pressure in the T1 region compared to normal feet,and patients with unilateral pes cavus had lower peak pressure in the LH region compared to the normal group(P＜0.05).The plantar contact area in patients with pes cavus was reduced in the T1,M2,M3,M4,MF,and MH regions compared to normal feet(P＜0.05).The 95％confidence ellipse area of the COP was larger in both the bilateral and uni-lateral pes cavus groups compared to the normal foot group(P＜0.001).Unilateral pes cavus pres-ented a specific lateral COP drift(amplitude of 3 to 4 cm),which is a biomechanical manifestation of compensatory eversion of the unaffected foot.Patients with bilateral pes cavus exhibited a"bimod-al oscillation"trajectory(amplitude of 6 to 8 cm),suggesting possible vestibular-spinal regulatory dysfunction and the poorest postural stability.In the pes cavus group,there was a significant in-crease in pressure in the M2,M3,and MH regions,with peak pressures exceeding 190 kPa in pa-tients with bilateral pes cavus,which was highly correlated with plantar pain and could serve as a pain early warning threshold.Conclusion Unilateral and bilateral pes cavus exhibit significantly different neuromechanical compensation patterns.The classification based on the"lateral drift"and"bimodal oscillation"characteristics of the COP trajectory can serve as a stability early warning indi-cator for assessing fall risk.Decompression interventions targeting the key pressure regions of M2,M3,and MH(such as customized orthotic insoles)are the core strategies for alleviating pain and optimizing dynamic gait stability.

Objective:To establish ultra performance liquid chromatography (UPLC) characteristic chromatogram of Pulsatilla chinensis; To provide reference for the origin identification and quality control of Pulsatilla chinensis. Methods:UPLC Method was adopted. The determination was performed on a column of Agilent SB C18 (2.1 mm×100 mm, 1.8 μm) . The mobile phase was acetonitrile-methanol (2:1) -0.1% phosphoric acid solution by fradient elution at a flow rate of 0.30ml/min. The column temperature was 30 ℃. The detection wavelength was 215 nm. The injection volume was 2 μl. The common counterfeit products and medicinal herbs of Pulsatilla chinensis from different areas were evaluated by comparison of characteristic chromatogram, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). Results:There were 9 characteristic peaks in the characteristic chromatogram of Pulsatilla chinensis, and 8 common peaks were identified by high resolution mass spectrometry and comparison of reference materials. Through PCA analysis, it was possible to clearly distinguish the medicinal herbs of Pulsatilla chinensis from different areas. Combined with OPLS-DA analysis, it was found that peak 2, peak 3, peak 6 were the main markers of Pulsatilla chinensis from different producing areas. Conclusion:The established method has good specificity, repeatability and durability, and it can effectively distinguish the common counterfeits of Pulsatilla chinensis, and provide the basis of quality control and selection of origin for Pulsatilla chinensis.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.

Three 2,3-diketoquinoxaline alkaloids were isolated from Heterosmilax yunnanensis Gagnep. Their structures were determined through 1D and 2D NMR, HR-ESI-MS, UV, and IR as 1-[5′-(3″-hydroxy-3″-methyl) glutaryl] ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (1), 1-[2′-(3″-hydroxy-3″-methyl) glutaryl]ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (2), and 1-ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (3). Compounds 1 and 2 are novel compounds, and 3 was isolated from H. yunnanensis for the first time. The hepatoprotective activity of these three compounds was evaluated, with compound 3 showing promising hepatoprotective activity.

Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.

Objective:To describe the detail sampling design,weighting,instruments,filed procedures and quality control methods of the epidemiological survey on dementia among community residents in Tongliao City.Methods:A three-stage disproportionate probability sampling design was used to investigate the inhabitants aged 65 years and over in Tongliao City,Inner Mongolia Autonomous Region.The 10/66 Dementia Research Group(10/66 DRG)assessment instruments were used to diagnose dementia,using computer-assisted personal interview mode in the selected older people.Comprehensive quality control methods were implemented throughout the field-work.Results:A total of 166 villages or communities were sampled from nine counties or districts in Tongliao Cit-y.Totally 4 345 older people were interviewed with 96.2％response rate.By calculating sampling design weights,non-response adjustment weights and post-stratification adjustment weights,these weights were multiplied and per-formed trimming adjustment and standardization adjustment to generate final weights.The 171 interviewers were well-trained and qualified to carry out filed interview.Quality control methods included computer data check,audio record check,and telephone check in order to ensure the quality of the survey.Conclusion:This survey is imple-mented using a rigorous sampling design and timely quality control methods,and uses the 10/66 DRG assessment instruments with satisfactory international validity and reliability as survey instruments,which has international cross-cultural comparability.It provides a valid and feasible methodology of epidemiological survey on dementia for further studies in different regions in China.

Objective To establish the ultra-high performance liquid chromatography(UPLC)chromatographic fingerprint of Notopterygii Rhizoma et Radix;To determine the contents of ferulic acid,nodakenin,ammijin,notopterol,isoimperatorin and volatile oil of Notopterygii Rhizoma et Radix from different producing areas;To provide reference for quality evaluation of Notopterygii Rhizoma et Radix.Methods Waters BEH C18 chromatographic column(2.1 mm×150 mm,1.7 μm)was used,with mobile phase acetonitrile-0.02%formic acid aqueous solution gradient elution,flow rate 0.25 mL/min,column temperature 25℃,detection wavelength 330 nm,injection volume 2 μL.UPLC fingerprints of 25 batches of Notopterygii Rhizoma et Radix were established,and the similarity analysis and chemometrics analysis were carried out.The contents of ferulic acid,nodakenin,ammijin,notopterol and isoimperatorin were determined simultaneously,and the contents of volatile oil was determined by steam distillation method.Results Totally 23 common fingerprint peaks were calibrated,11 known components were identified.According to the results of the cluster analysis and principal component analysis,25 batches of Notopterygii Rhizoma et Radix samples were divided into 3 categories,and the 6 potential differential components were screened out by orthogonal partial least squares-discriminant analysis(OPLS-DA).The results showed that the contents of notopterol and volatile oil from Sichuan Province were higher than those from Gansu Province and Qinghai Province.Conclusion The method established in the study is accurate and reliable,which can provide scientific basis and reference for the quality evaluation and control of Notopterygii Rhizoma et Radix.

Objective:To study the effects of different single cell phenotypes on the prognosis of patients with intrahepatic cholangiocarcinoma by using spatial analysis, providing clues for obtaining potential immunotherapeutic targets.Methods:This study was a retrospective cohort study. A total of 41 intrahepatic cholangiocarcinoma (ICC) patients who underwent surgery in Beijing Youan Hospital Affiliated to Capital Medical University from February 2013 to June 2019 were enrolled. According to the 5-year survival situation, the patients were divided into survival group ( n=10) and death group ( n=31). A metal label-based tissue imaging mass panel containing 36 related markers was designed and constructed for staining different components in tumor samples. Through the analysis of the type and quantity of different metacluster and spatial location information and combined with the clinical outcomes of patients with information, certain metaclusters were found related to the prognosis of patients. Measurement data with normal distribution were expressed as mean±standard deviation ( ± s), paired t-test was used for comparison between groups. Measurement data with skewed distribution were expressed as median, and rank sum test was used for comparison between groups. The chi-square test was used to compare the counting data between groups. Results:36 biomarkers of 41 ICC patients were located and quantified to generate 1 476 single-cell resolution histological images. The expression information of various markers was analyzed by t-distributed Stochastic Neighbor Embedding (tSNE), and subgroups annotations (1-29) were added. It revealed that the density of metacluster 7(CD8 + T cells) was lower in survival group. The density of metacluster 16(Bcl-2 + CK7 + cancer cells) within tumors, as well as the density of metacluster 3(Vista + GB + CD11b + neutrophils) within stroma were higher in death group. Conclusion:The density of metacluster 7(Activated CD8 + T cells), metacluster 16(Bcl-2 + CK7 + tumor cells) and a novel neutrophil metacluster 3(Vista + GB + CD11b + neutrophils) correlated with ICC patients prognosis.