OBJECTIVE To evaluate the comprehensive value of novel oral anticoagulant drugs （NOACs） after major orthopedic surgery. METHODS The evaluation evidence was collected through literature research； evidence and value：impact on decision-making （EVIDEM） framework was introduced to integrate the evaluation process； the multi-criteria decision analysis （MCDA） method was used to construct a multi-dimensional evaluation system； the weights assigned to each evaluation criterion were determined by the combination of Delphi method and analytic hierarchy process， and the rivaroxaban， dabigatran and apixaban were comprehensively evaluated. RESULTS The clinical comprehensive evaluation system of NOACs after major orthopedic surgery was successfully established， and the final clinical comprehensive evaluation weights of NOACs （rivaroxaban， dabigatran， apixaban） after major orthopedic surgery were calculated， with scores of 0.399 7 for rivaroxaban， 0.244 4 for apixaban， and 0.355 9 for dabigatran， indicating that rivaroxaban demonstrated the highest overall clinical value. Among them， rivaroxaban had the highest weight score in the evaluation of pharmaceutical characteristics， cost-effectiveness and other attributes in a single dimension. In terms of efficacy and safety evaluation， apixaban had the highest weighting score. CONCLUSIONS Among NOACs， rivaroxaban is more suitable for routine anticoagulation management after major orthopedic surgery， especially in terms of pharmacological properties， cost-effectiveness and other attributes.

Objective To assess the health risks of gaseous pollutants in the indoor air of hair and beauty salons in Jinan, and to provide technical support for strengthening the hygiene management of hair and beauty salons in Jinan and promoting the improvement of conditions. Methods Every year, indoor air samples were collected from 10-16 selected hair salons and beauty salons in Jinan, and relevant information on practitioners was also collected. According to the ^“Technical Guidelines for Environmental Health Risk Assessment of Chemicals^”, an assessment was conducted on the carcinogenic and non-carcinogenic risks of inhalation pathways of gaseous pollutants in the indoor air of hair salons and beauty salons. Results Benzene, toluene, xylene, formaldehyde, and ammonia were detected in the indoor air of hair salons and beauty salons. Formaldehyde, benzene, and ammonia all exceeded the standard in hair salons and beauty salons. The median risk values of formaldehyde and benzene for carcinogenesis in hair salons and beauty salons were both greater than 10^-6, with maximum values higher than 10^-4. The median chronic non-carcinogenic risk value of formaldehyde in the indoor air of hair salons and beauty salons was greater than 1. The median chronic non-carcinogenic risk values for benzene and ammonia were both less than 1, but the maximum risk value was greater than 1. Conclusion Benzene and formaldehyde in the indoor air of hair salons and beauty salons in Jinan City have carcinogenic and non-carcinogenic risks, while ammonia has non-carcinogenic risks, which should be paid attention to.

ObjectiveTo prepare oral nanoemulsions encapsulating essential oil from Alpinia zerumbet fructus（EOFAZ） and to investigate its pro-absorption effect in vitro and distribution in vivo. MethodThe proteoglycan conjugate polysaccharides of vinegar-processed Bupleuri Radix-bovine serum albumin（VBCP-BSA） was prepared by Maillard reaction of VBCP and BSA. Taking VBCP-BSA as emulsifier， vitamin B₁₂（VB₁₂） as absorption enhancer， and medium chain triglycerides mixed with EOFAZ as oil phase， the nanoemulsions loaded with EOFAZ was prepared by high energy emulsification method. The particle size， particle size distribution， surface Zeta potential， EOFAZ content and appearance and morphology of the nanoemulsions were characterized， and fluorescein tracer method was used to investigate the absorption effect of fluorescein-labeled EOFAZ nanoemulsions in vitro and their distribution in vivo. ResultVBCP-BSA was formed by Maillard reaction for 48 h with high grafting rate. Using VBCP-BSA as emulsifier， the homogeneous pink nanoemulsions was prepared and denoted as EOFAZ@VBCP-BSA/VB₁₂. The particle size of the nanoemulsions was less than 100 nm and the particle size distribution was uniform. The surface of the nanoemulsions was a weak negative charge， and the shape was spherical. The encapsulation rate of the nanoemulsions for EOFAZ was greater than 80%， which had a good absorption effect in vitro and could enhance liver accumulation after oral administration. ConclusionThe designed proteoglycan nanoemulsions can effectively load EOFAZ， promote oral absorption and enhance liver distribution， which can provide experimental basis for the development of oral EOFAZ liver protection preparations.

Objective To analyze the acupoint selection rules of acupuncture for the treatment of tic disorders in children based on data mining techniques.Methods A computerized search was conducted for the clinical research literature on acupuncture treatment of tic disorders in children included in the CNKI,Wanfang,VIP,SinoMed,and PubMed databases from January 1992 to December 2022.A database was established by Excel 2019 to count the commonly used treatment methods and analyze the high-frequency application methods acupuncture(high-frequency acupoints,channel entry of acupoints,acupoint association rules,and acupoint clustering),auricular point seed-pressing(high-frequency auricular points,and acupoint association rules),and the high frequency division of cluster needling of scalp point.Results A total of 190 valid literature articles were included,involving 270 acupuncture prescriptions;among them,184 acupoints were counted in the acupuncture method,with a total application frequency of 1 906 times,and the high-frequency application of the acupoints in descending order were Baihui(DU20),Taichong(LR3),Fengchi(GB20),Hegu(LI4),Sanyinjiao(SP6),Neiguan(PC6),Shenmen(HT7),Zusanli(ST36),Yintang(EX-HN3),Sishencong(EX-HN1);and the high-frequency meridians were governor vessol,foot taiyang stomach meridian,foot taiyang stomach meridian,foot shaoyang gallbladder meridian,hand taiyang large intestine meridian,foot taiyang bladder meridian,foot jueyin gallbladder meridian;three sets of strong association rules and five clusters of acupoints were analyzed by SPSS modeler 18.0 and IBM SPSS Statistics 26.0 software.There were 29 acupoints of auricular point seed-pressing,application total frequency was 206 times,high-frequency application of auricular points in descending order of Shenmen(HT7),liver,heart,subcortex,kidney;four groups of acupoint strong association rules were obtained through the analysis of SPSS modeler 18.0 software.A total of 14 zones were involved in the application of cephalic acupoint plexus zoning,of which the high-frequency zones were parietal anterior temporal diagonal,parietal parietal 1,and chorea tremor control zone.Conclusion Acupuncture treatment of tic disorders in children,according to its pathogenesis(liver hyperactivity,kidney depletion,spleen deficiency,phlegm disturbance,etc.)and tic site,select acupoints compatibility,and mostly choose yang meridian acupoints,which is related to the nature and treatment characteristics of wind pathogen.Children's tic disorders are closely related to emotional disorders,therefore acupuncture and auricular acupoints all emphasize the method of soothing the liver and clearing the heart,and regulating the emotional state.Cluster needling of scalp point mostly used parietal temporal anterior oblique line,parietal 1 line,and dance tremor control area for the treatment of tic disorders.For children,auricular point seed-pressing and cluster needling of scalp point has the minimun of pain,the effect of treatment is long,and it is not easy to have dangerous situations such as bent needle,broken needle and so on.

Objective To use network pharmacology to mine and predict the targets and related signaling pathways of Miaoyao Yiai Tang(Miao-Yi-Ai-Tang,MYAT)in the treatment of small cell lung cancer(SCLC).And animal experiments to verify its mechanism of action,to provide a theoretical basis for basic experiments and clinical applications.Methods The active ingredients of MYAT were obtained from the TCMSP database,combined with PubMed data,Swiss Target Prediction database and Uniprot database to obtain potential targets;SCLC-related genes were collected through the DrugBank database,Genecards database,OMIM database and TTD database,and the Venny 2.1 platform After obtaining the intersection genes of MYAT and SCLC,import them into the STRING database,construct a protein-protein interaction(PPI)network,use Cytoscape 3.9.1 software for visual analysis,and use Metascape database for GO enrichment analysis and KEGG pathway analysis,to predict the direct action target and signaling pathway of MYAT in the treatment of SCLC.Using AutoDock Tools 1.5.7 software for molecular docking to verify the close relationship between the two.For cytological experiment verification,the cultured cells were treated with MYAT and the expression of β-catenin,AXIN,c-myc was detected by qPCR,and the expression of β-catenin in the cells was detected by Western blot;animal experiments were established to establish a subcutaneous xenograft tumor model of lung cancer NCI-H446,to observe the effect of MYAT on tumor growth.Results A total of 65 effective components of MYAT,1368 SCLC genes,and 260 MYAT-SCLC intersection genes were obtained.Enrichment analysis showed that they were related to cancer pathways,PD-L1/PD-1 pathways,NF-κB pathways,Wnt and other signaling pathways.The results of molecular docking validation showed that the binding energies of active components and core target proteins were all<0 kJ·mol-1,which indicated that the protein could spontaneously bind to active components and be stable.Cell experiments showed that the expression levels of β-catenin,c-myc and AXIN mRNA were significantly down-regulated in the MYAT group(P<0.05).Animal experiments show that:MYAT can significantly inhibit the growth of tumors in vivo.Conclusion Miao-Yi-Ai-Tang can inhibit the proliferation of small cell lung cancer through Wnt/β-catenin signaling pathway.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.