Objective To establish the drug use evaluation(DUE)criteria for bemiparin sodium injection,and evaluate the use of bemiparin sodium injection by weight technique for order prefer by similarity to ideal solution(TOPSIS),and to provide reference for improving the rational use of bemiparin sodium injection.Methods Based on the instructions of bemiparin sodium injection,and referring to relevant guidelines and literatures,the DUE criteria of bemiparin sodium injection was established by expert consultation.The weighted TOPSIS method was used to evaluate the rationality medication in the cases of inpatients who use bemiparin sodium injection from June to July 2021 in the Tongji Hospital of Tongji University.Results In the established DUE criteria of bemiparin sodium injection,the top two relative weight coefficients of ten secondary indicators were contraindications and adverse reaction disposal,and the bottom two were administration methods and indications.A total of 100 medical records were including.There was not a case close to the optimal regimen(Ci≥0.8)(reasonable);Ci was between 0.6 and 0.8(basically reasonable)in 83 cases(83.00％);and Ci＜0.6(unreasonable)in 17 cases(17.00％).The unreasonable uses of bemiparin sodium injection mainly appeared in off-lable uses of indications and the dosing method,a potential drug-drug interaction,inappropriate dosage,and violation of drug contraindications.Conclusion The drug use evaluation method of bemiparin sodium injection based on weighted TOPSIS method can synthesize multiple evaluation indexes,and the evaluation results are objective and reliable.The results showed that most clinical application of bemiparin sodium injection in this hospital was basically reasonable,but to provide basis for rational clinical drug use and to ensure patients'medication safety,it is necessary to accelerate the off-label evidence-based evaluation process and strengthen the management of rational drug use.

Recent studies have shown that non-alcoholic fatty liver disease (NAFLD) can influence the incidence, outcome, and recurrence risk of ischemic stroke independently of traditional risk factors. This article reviews the relationship, related mechanisms, and treatment decisions between NAFLD and ischemic stroke, in order to provide reference for clinical diagnosis and treatment decisions.

Objective:To investigate the status of hepatitis E virus infection in unpaid blood donors in Wenzhou.Methods:A total of 5 241 blood samples were selected from donors who successfully donated blood between October 2022 and March 2023. These samples were tested for hepatitis E virus (HEV) through HEV-IgG antibodies, HEV-IgM antibodies, and nucleic acid tests (HEV RNA). Samples that tested positive for HEV RNA underwent quantitative detection and sequencing. Data regarding the blood donors were collected, the positive rates of each test result were recorded, and the HEV infection status among different populations was analyzed.Results:The positive rate of the HEV-IgG antibody test was 23.60% (1 237/5 241), while the positive rate of the HEV-IgM antibody test was 0.29% (15/5 241). The positive rate of the HEV RNA test was 0.08% (4/5 241). The positive rate of the HEV-IgG test increased with age ( χ2 = 379.493, P < 0.05), and males had a higher positive rate than females ( χ2 = 5.12, P < 0.05). Both the positive rates of HEV-IgG and HEV-IgM tests increased as the number of blood donations increased ( χ2 = 40.87, 8.30, both P < 0.05). Furthermore, the positive rates were significantly higher in 2023 than in 2022 ( χ2 = 51.03, 13.35, both P < 0.05), and they were also significantly higher in spring than in winter ( χ2 = 51.03, 13.35, both P < 0.05). Only one HEV RNA-positive blood donor tested positive for both HEV-IgG and HEV-IgM antibodies, while the remaining three donors tested negative. Only one case was genotyped, and it belonged to genotype Ⅳ. Conclusion:The incidence of HEV infection among unpaid blood donors in Wenzhou of Zhejiang Province is relatively high, with the prevalent HEV genotype being type Ⅳ. Characteristics such as sex, age, and the number of blood donations can be utilized as auxiliary screening reference indicators.

Objective:To investigate the etiology of hand, foot and mouth disease (HFMD) in Mianyang city in 2022, and to analyze the genetic characteristics of coxsackievirus A6.Methods:Pharyngeal swabs were collected from patients with HFMD in Mianyang city in 2022. Real-time fluorescence quantitative PCR was used to detect enteroviruses in the samples. Part of the VP1 gene in enterovirus-positive samples was amplified by nested PCR using enterovirus typing primers to further identify the viral types. The VP1 coding region of all CVA6-positive samples and the whole genome of some samples were amplified and sequenced by PCR. The endemic strain in Mianyang city was analyzed for phylogeny, gene homology, amino acid variation and genetic recombination.Results:A total of 151 pharyngeal swabs were collected, and 104 enterovirus-positive samples were detected by real-time fluorescence quantitative PCR, with an overall detection rate of 68.88% (104/151). The typing results showed that there were 77 cases of CVA6 infection, with a positive rate of 50.99% (77/151). The full-length VP1 genes of 77 CVA6 strains were amplified, sequenced, and successfully spliced, and phylogenetic analysis showed that all 77 strains were of the D3 genotype. There were multiple amino acid variant sites in the prevalent strains in Mianyang city compared with the reference strain. Twenty whole genome sequences were amplified, sequenced, and successfully spliced, and homology analysis showed that the nucleotide homology between the 20 positive sequences ranged from 97.0% to 99.9%. Phylogenetic tree and recombination analysis showed that no recombination occurred in the coding regions of the epidemic strains in this study.Conclusions:The predominant pathogen causing HFMD in Mianyang city in 2022 is CVA6 D3 subtype, which is consistent with the national epidemic in 2022.

Recent trends suggest that Chinese herbal medicine formulas(CHM formulas)are promising treatments for complex diseases.To characterize the precise syndromes,precise diseases and precise targets of the precise targets between complex diseases and CHM formulas,we developed an artificial intelligence-based quantitative predictive algorithm(DeepTCM).DeepTCM has gone through multilevel model cali-bration and validation against a comprehensive set of herb and disease data so that it accurately captures the complex cellular signaling,molecular and theoretical levels of traditional Chinese medicine(TCM).As an example,our model simulated the optimal CHM formulas for the treatment of coronary heart disease(CHD)with depression,and through model sensitivity analysis,we calculated the balanced scoring of the formulas.Furthermore,we constructed a biological knowledge graph representing interactions by associating herb-target and gene-disease interactions.Finally,we experimentally confirmed the thera-peutic effect and pharmacological mechanism of a novel model-predicted intervention in humans and mice.This novel multiscale model opened up a new avenue to combine"disease syndrome"and"macro micro"system modeling to facilitate translational research in CHM formulas.

Objective Using the methods of heart rate variability(HRV)and deceleration capacity of heart rate(DC),which mo-nitor cardiac autonomic nervous function,to study the correlation between the nocturnal blood pressure dropping rate and cardiac autonom-ic nervous function in female patients with essential hypertension,and to explore the related factors affecting the nocturnal blood pressure dropping rate in female patients with essential hypertension.Methods A total of 187 female patients with essential hypertension admitted to the Second Hospital of Lanzhou University from January 2019 to August 2023 were selected.General data,nocturnal blood pressure dropping rate,HRV time domain parameters(SDNN,SDANN,SDNNI,PNN50)and DC were collected.According to the nocturnal sys-tolic blood pressure dropping rate,they were divided into three groups:dipper group,non-dipper group,and reverse dipper group.The differences of general data and 24-hour,daytime and nighttime mean blood pressure and heart rate,HRV time domain parameters and DC values among three groups were compared,and the correlation between the nocturnal blood pressure dropping rate and HRV time do-main parameters,DC values and other general data was analyzed,and the factors affecting the nocturnal blood pressure dropping rate of fe-male patients with essential hypertension were analyzed by simple and multiple linear regression.Results The nocturnal blood pressure dropping rate in female patients with essential hypertension was linearly positive correlated with SDNN,SDANN,SDNNI and DC values(β were 0.235,0.016,0.102,0.493,P＜0.05),and linearly negative correlated with menopause(β=-3.798,P＜0.05).The re-sults of multiple linear regression analysis showed that SDNN,menopause,age,diabetes were the factors affecting the nocturnal blood pressure dropping rate.Conclusion In female patients with essential hypertension,the imbalance of cardiac autonomic nerve regulation,menopause,age and diabetes are the main risk factors affecting the nocturnal blood pressure dropping rate.

Objective To identify easily confused Chinese herbal pieces by micro-macroscopical identification method,and study its application value in quality acceptance of Chinese herbal pieces in medical institutions.Methods Using the method of micro-macroscopical identification,with the help of related instruments,the microscopic characteristics of 10 groups of 31 kinds of Chinese herbal pieces,which were easy to be confused and could not be observed by naked eye and ordinary magnifying glass,were analyzed and summarized according to the classification of different medicinal parts,such as flowers,fruits,seeds,whole grass,roots and rhizomes,stems,and others,and pictures were taken to save them.Results The micro-characters of 10 groups of 31 easily confused Chinese herbal medicines,including Eriocauli flos,Eriocaulon sexangulare,Eriocaulon australe,Aurantii fructus,Citrus changshan-huyou,Chaenomelis fructus,Chaenomeles cathayensis,Perillae fructus,Perillae fructus(Physalis alba),Perillae fructus(Wild),Astragali complanati semen,Astragalus chinensis,Selaginellae herba,Selaginella pulvinata,Selaginella moellendorfii,Selaginella doederleinii,Selaginella uncinata,Lysimachiae herba,Lysimachia hemsleyana,Desmodium styracifolium,Dryopteris crassirhizoma,Woodwardia japonica,Brainea insignis,root of Valvate actinidia,Actinidia arguta,Tripterygium wilfordii,root of Romanet grape,Trogopterus dung,Bat dung,Hare dung and Silkworm sand were observed.The various traditional Chinese medicines possessed unique identification characteristics.Flower-based medicines could be studied for their color,tissue structure,and surface features such as texture and trichomes.Fruit-based medicines could be studied for their fruit peel structure,color,degree of development,and outer characteristics such as cuticle layer and wax.Seed-based medicines could be studied for their morphology,size,color,and texture.Whole plant-based medicines could be studied for leaf length-to-width ratio,widest point,surface characteristics,and splitting situation,as well as stem trichomes and stomata.Root-based medicines,rhizome-based medicines,and stem-based medicines could be studied for their bark,wood structure,and the morphology and arrangement of vascular bundles or ducts.Other kinds of medicines could be studied from their sources,and these unique micro-characteristic identification features could be easily discovered with the help of a microscope.Conclusion Compared with the traditional characteristic identification,micro-macroscopical identification is more capable of improving the accuracy of Chinese herbal pieces identification,which is economical,practical,simple and intuitive,and can be popularized as a commonly used identification method of herbal medicines in medical institutions,and it is a feasible solution to realize the rapid inspection of herbal medicines.

Objective To analyze the trend of heart disease death and the life expectancy without cause of death in Qidong City, Jiangsu Province from 1990 to 2019, and to provide reference for the prevention and control of heart disease. Methods Data on heart disease deaths among residents in Qidong City from 1990 to 2019 were collected through the Qidong City Death Registration and Monitoring System. The crude mortality rate (CR) and Chinese age-standardized mortality rate (CASR), potential years of life loss (PYLL), average years of life loss (AYLL), potential life loss years rate (PYLLR), life expectancy, and life expectancy without cause of death were calculated, and the annual percentage change (APC) was used to analyze the trend of heart disease death. Using SAS9.2 software, the death trend prediction was conducted by the ARIMA model in time series analysis. Results From 1990 to 2019, 27,762 residents died of heart disease in Qidong City, with a CR of 81.20/100 000 and an APC of 3.734%. There were 12 358 deaths of heart disease in men, with a CR of 73.24/100 000 and an APC of 3.86%, while there were 15 404 deaths of heart disease in women, with a CR of 88.95/100 000 and an APC of 3.63%. CR showed an upward trend (all P < 0.001). The PYLL for heart disease was 66 192.00 person-years, the AYLL was 13.23 person-years, and the PYLLR was 2.16‰. The life expectancy loss from heart disease was gradually increasing: 0.89 years in 1990 to 1.85 years in 2019, with an APC of 0.405% (P<0.001, a statistically significant trend). The prediction results showed that in 2029, the life expectancy after heart disease would reach 88.17 years. Conclusion From 1990 to 2019, the crude mortality rate of heart disease in Qidong City has showed an increasing trend, leading to an increasing loss of life due to heart disease year by year. The mortality rate and life loss of heart disease in women are higher than those in men. Targeted intervention measures should be further adopted to reduce the mortality rate of heart disease among residents in Qidong.

Objective:To understand the composition of respiratory virus spectrum in hospitalized children with acute respiratory infections in Guilin City from 2021 to 2022, and to explore the epidemic characteristics of different respiratory viruses.Methods:Information of a total of 638 hospitalized children with acute respiratory infections (ARI) syndrome under the age of 14 years in Guilin city, Guangxi from September 2021 to October 2022 was collected as research data. The collected pharyngeal swabs from pediatric patients were subjected to real-time fluorescence reverse transcription polymerase chain reaction for nucleic acid testing, screening for 15 common respiratory viruses, and analyzing the virus spectrum characteristics of hospitalized pediatric patients with acute respiratory infections.Results:Among the 638 specimens, 365 were tested positive for at least one virus, with a positive rate of 57.21% (365/638). The detection rate for two or more viruses was 12.85% (82/638). There were 12 types of viruses detected, and the difference in virus detection rates among different seasons was statistically significant (P<0.002). The virus positive detection rate of samples from different age groups was the highest in the 0-2-year old group (40.66%), followed by the 3-5-year old group (34.80%) and the 6-year and older group (24.54%).Conclusions:During the period from September 2021 to October 2022, all 12 respiratory viruses were prevalent in Guilin area, with obvious summer peak as characteristics. It is suggested that corresponding prevention and control measures should be focused on pathogens that may cause acute respiratory infections in children during the local summer to prevent and control the spread and prevalence of respiratory infections.

Objective To explore the value of biparametric magnetic resonance imaging(bp-MRI)radiomics models in noninvasive prediction of high-risk prostate cancer.Methods A total of 320 patients with pathologically confirmed prostate cancer were retro-spectively selected,and all patients underwent bp-MRI before pathology,including T2WI and diffusion weighted imaging(DWI).Appar-ent diffusion coefficient(ADC)maps were extracted from DWI.All patients were divided into high-risk(Gleason score≥8)and medium-low risk(Gleason score ≤7)groups based on the Gleason score.Using 3D Slicer software,the entire prostate gland was outlined.Python software was used to calculate parameters,and the minimum redundancy maximum correlation and sequence back-ward elimination algorithms were used to extract and select radiomics features and to build a model.Three radiomics(T2 WI,DWI,ADC)models were constructed and verified by logistic regression(LR).The performance of the model was evaluated by area under the curve(AUC)of receiver operating characteristic(ROC)curve,specificity(SP),sensitivity(SE),and accuracy(ACC).An indi-vidual prediction model was established via the clinical data of 224 patients and bp-MRI features,and validated via the data of 96 patients.Results A total of 1 165 radiomics features were extracted.After feature screening,2,4 and 6 radiomics features were screened out to construct T2WI model,DWI model and ADC model for predicting high-risk prostate cancer.All radiomics models had significant predictive performance in identifying medium-low risk and high-risk groups(P＜0.05).The DWI model had the highest predictive value,and the AUC,ACC,SE,and SP in the training group were 0.814,0.756,0.838,and 0.744,respectively.The AUC,ACC,SE,and SP in the verification group were 0.840,0.756,0.848,and 0.784,respectively.Conclusion Radiomics based on bp-MRI can better identify medium-low risk and high-risk prostate cancer before surgery.