Objective To design a medical order pre-evaluation tool for perioperative prophylactic application of antibiotics,and to improve the efficiency of antibiotics management in hospitals during the perioperative period.Methods Using the open-source software R as the platform,a web application was built with tidy verse and shiny package based on related documents and guidelines.The discharge records of Affiliated Hospital of North Sichuan Medical College from April 1,2021,to December 31,2022,were retrospectively reviewed using the constructed pre-evaluation tool and compared with previous manual evaluation results using McNemar's Chi-squared test.Results This medical order pre-evaluation tool can quickly complete perioperative antibiotics order sampling,batch pre-evaluation,result statistics,visualization,and result output,and flexibly adjust the evaluation rules according to actual needs.The pre-evaluation tool is more efficient,with a review speed of 13.46 ms per medical record.Among the 2 642 discharge medical records of manual review,there was no significant difference between systematic pre-evaluation and manual evaluation results(ratio of prophylactic use:76.85%vs.78.21%)in terms of the type of use(preventive or curative)(P= 0.078).Among the 1 857 discharge records judged to be prophylactic for both manual and systematic reviews,the difference in unreasonable detection rate(39.90%vs.30.32%)was statistically significant(P＜0.001).Among the 63 typical ludicrous medical records confirmed by the review of clinical pharmacists with senior professional titles,60 were judged and limited by the pre-evaluation tool,and the detection rate of typical unreasonable was 95.24%.Conclusions The pre-evaluation tool based on R in this study can improve the efficiency of perioperative antibacterial drug evaluation.The evaluation conclusions and statistical results are reliable and are worthy of further development and application.

OBJECTIVE To study the effect of 60Co-γ irradiation on the sterilization effect and main components of Rubus chingii Hu. METHODS Irradiated Rubus chingii Hu by 0, 6, 10, 15, 30 kGy doses of 60Co-γ, used the microbial count method to determine the microbial level of Rubus chingii Hu before and after irradiation. Analyzed the components of Rubus chingii Hu by high resolution mass spectrometry, investigated the effects of irradiation on the quality of Rubus chingii Hu by comparing the components of Rubus chingii Hu samples before and after irradiation, analyzing the quantitative results of ellagic acid and kaempferol 3-O-yunxiangoside, and evaluating the similarity of fingerprints. RESULTS The results of microbial examination of Rubus chingii Hu after different doses of irradiation all met the requirements, cluster analysis and principal component analysis of 20 components showed no significant difference. And there was no significant difference in the contents of ellagic acid and kaempferol 3-O-glucoside before and after irradiation. The similarity of fingerprints before and after irradiation was between 0.995 and 1.000. CONCLUSION Irradiation can effectively control the microbial level in Rubus chingii Hu, and there is no significant effect on the chemical composition of Rubus chingii Hu, the results provide a basis for the application of irradiation in the sterilization process of Rubus chingii Hu.

Objective:To investigate the genetic subtypes and drug resistance monitoring of newly reported human immunodeficiency virus (HIV) infection/AIDS virus in Anhui Province from 2020 to 2023.Methods:An observational design study was used to collect blood samples from patients diagnosed with HIV/AIDS in the AIDS Prevention and Control Department of Anhui Provincial Center for Disease Control and Prevention from January 2020 to December 2023.The HIV-1 pol gene was amplified by reverse transcription-nested PCR, and the genetic subtypes were identified by phylogenetic tree analysis using MEGA 7.0 software. The mutation sites of drug resistance were analyzed by the online software tool of Stanford University′s HIV Drug resistance database. The influencing factors of drug resistance before treatment were analyzed by multivariate logistic analysis.Results:A total of 335 plasma samples were collected, and 332 HIV-1 pol gene sequences were obtained successfully. The main gene subtypes were CRF01-AE, accounting for 35.55% (118/332), followed by CRF07-BC, B and B+C types [29.22% (97/332), 11.74% (39/332), 9.93% (33/332)]. The total drug resistance rate before treatment was 30.12%(32/100), and the drug resistance rate of protease inhibitor (PIs) in HIV-1 was 6.33% (21/332). The drug resistance rate of nucleoside reverse transcriptase inhibitors (NRTI) before treatment was 6.33% (21/332). The drug resistance rate of non-nucleoside reverse transcriptase inhibitors (NNRTI) before treatment was 17.47% (58/332).The comparison of drug resistance rate of different drug types showed statistical significance ( χ2=30.435, P<0.05).Among the 100 cases of drug resistance, the main mutation point of HIV-1 protease inhibitor was Q58E (21.00%), and the main mutation point of nucleoside reverse transcriptase inhibitor was M184V/I (6.00%). Non-nucleoside reverse transcriptase inhibitor resistance mutation points mainly K103N (22.00%).There were statistically significant differences in the starting time of antiviral therapy, the number of CD4 +T cells at baseline and the drug resistance rate of gene subtypes (the chi-square values are respectively 24.152, 32.516, 11.652, P<0.05).Multivariate logistic analysis showed that the baseline CD4 +T cell count was <200/μl, subtype B, subtype B+C, CRF01-AE subtype, CRF55-01B subtype and 01-BC subtype was the influential factor of drug resistance before treatment (the chi-square values are respectively 4.577, 8.202, 4.416, 5.206, 7.603 and 4.804, P<0.05). Conclusion:The newly reported HIV/AIDS population in Anhui Province from 2020 to 2023 has a variety of viral gene subtypes, and NNRTIs are the main types of drug resistance gene mutations before treatment. Attention should be paid to the number of baseline CD4 +T cells, the duration of antiviral treatment, and the distribution of gene subtypes to reduce the drug resistance of HIV/AIDS patients before treatment.

Objective:To investigate the genetic subtypes and drug resistance monitoring of newly reported human immunodeficiency virus (HIV) infection/AIDS virus in Anhui Province from 2020 to 2023.Methods:An observational design study was used to collect blood samples from patients diagnosed with HIV/AIDS in the AIDS Prevention and Control Department of Anhui Provincial Center for Disease Control and Prevention from January 2020 to December 2023.The HIV-1 pol gene was amplified by reverse transcription-nested PCR, and the genetic subtypes were identified by phylogenetic tree analysis using MEGA 7.0 software. The mutation sites of drug resistance were analyzed by the online software tool of Stanford University′s HIV Drug resistance database. The influencing factors of drug resistance before treatment were analyzed by multivariate logistic analysis.Results:A total of 335 plasma samples were collected, and 332 HIV-1 pol gene sequences were obtained successfully. The main gene subtypes were CRF01-AE, accounting for 35.55% (118/332), followed by CRF07-BC, B and B+C types [29.22% (97/332), 11.74% (39/332), 9.93% (33/332)]. The total drug resistance rate before treatment was 30.12%(32/100), and the drug resistance rate of protease inhibitor (PIs) in HIV-1 was 6.33% (21/332). The drug resistance rate of nucleoside reverse transcriptase inhibitors (NRTI) before treatment was 6.33% (21/332). The drug resistance rate of non-nucleoside reverse transcriptase inhibitors (NNRTI) before treatment was 17.47% (58/332).The comparison of drug resistance rate of different drug types showed statistical significance ( χ2=30.435, P<0.05).Among the 100 cases of drug resistance, the main mutation point of HIV-1 protease inhibitor was Q58E (21.00%), and the main mutation point of nucleoside reverse transcriptase inhibitor was M184V/I (6.00%). Non-nucleoside reverse transcriptase inhibitor resistance mutation points mainly K103N (22.00%).There were statistically significant differences in the starting time of antiviral therapy, the number of CD4 +T cells at baseline and the drug resistance rate of gene subtypes (the chi-square values are respectively 24.152, 32.516, 11.652, P<0.05).Multivariate logistic analysis showed that the baseline CD4 +T cell count was <200/μl, subtype B, subtype B+C, CRF01-AE subtype, CRF55-01B subtype and 01-BC subtype was the influential factor of drug resistance before treatment (the chi-square values are respectively 4.577, 8.202, 4.416, 5.206, 7.603 and 4.804, P<0.05). Conclusion:The newly reported HIV/AIDS population in Anhui Province from 2020 to 2023 has a variety of viral gene subtypes, and NNRTIs are the main types of drug resistance gene mutations before treatment. Attention should be paid to the number of baseline CD4 +T cells, the duration of antiviral treatment, and the distribution of gene subtypes to reduce the drug resistance of HIV/AIDS patients before treatment.

Objective:To clarify the operational definition of ICU cognitive impairment, so as to provide a reference for accurate assessment of ICU cognitive impairment.Methods:ICU cognitive impairment was conceptually analyzed by the conceptual analysis framework in the Construction Strategy of Nursing Theory (Fifth Edition). The studies about cognitive function of critical illness patients in PubMed, Web of Science, Embase, China National Knowledge Internet, Wanfang, Chinese Biomedical Database, and VIP were searched. The search time limit was from the establishment of the database to August 2021. Literature screening and data extraction were performed independently by two researchers.Results:A total of 5 754 articles were obtained, and 48 articles were finally included. Obtained 20 concepts and 9 commonly used assessment tools related to ICU cognitive impairment. Identifying the defining attributes, conceptual causes, and outcomes of ICU cognitive impairment.Conclusions:The operational definition of ICU cognitive impairment is determined, which is conducive to a comprehensive and intuitive understanding of the concept of cognitive impairment in ICU and accurate evaluation of cognitive impairment in ICU.

Objective:To investigate the distribution characteristics and clinical significance of non-bacterial respiratory pathogens in children with respiratory tract infection.Methods:A total of 5 718 children with respiratory tract infection treated in outpatient, emergency and inpatient of Children′s Hospital Affiliated to Capital Institute of Pediatrics from January to December 2019 were retrospectively analyzed.Pharyngeal swabs were collected and nucleic acids of 7 common non-bacterial respiratory pathogens were detected and analyzed by double amplification technique. Chi square test was used to compare the rates. Results:A total of 5 718 children were included in the study.At least one respiratory pathogen nucleic acid positive was detected in 1 835 cases (32.09%). A total of 98 children had mixed infection of more than 2 pathogens (1.71%), which were mainly Mycoplasma pneumoniae (MP) and parainfluenza virus (PIV). The positive rates of 7 respiratory pathogens from high to low were MP (12.31%), PIV (6.23%), RSV (6.14%), influenza A virus (4.62%), adenovirus (2.80%), influenza B virus (1.40%) and chlamydia pneumoniae (0.33%). The positive rate of pathogens in male patients was 32.07% (1 073/3 346 cases), which was 32.12% (762/2 372 cases) in female patients.There was no significant difference in the positive rate of pathogens between males and females ( χ2=0.002, P=0.964). The positive rate of MP infection in male patients was significantly lower than that in females (11.48% vs. 13.49%) ( χ2=5.217, P=0.022). The total positive rate of infection in the 6 to <12 years old group was the highest (42.41%). The total positive rate (44.93%) and mixed infection rate (3.33%) were significantly higher in the fourth quarter than those of the others (30.43% vs.27.31% vs.34.59% vs.44.93%, 1.23% vs.1.10% vs.1.40% vs.3.33%; χ2=110.971, 26.968, all P<0.001). The total positive rate of pathogen infection in the outpatient and emergency department was 41.74% (606/1 452 cases), which was significantly higher than that of hospitalized children (31.13%) (1 328/4 266 cases) ( χ2=54.438, P<0.001). Conclusions:Non-bacterial respiratory pathogens are important pathogens leading to respiratory tract infections in children, among which MP infection is the most prevalent.Timely and accurate detection of pathogens is helpful for the diagnosis and treatment of respiratory tract infection and avoiding the abuse of antibiotics.

Objective:By analyzing visually field of standardized residency training from 2008 to 2018, and exploring the field research hotspots and the frontier trend, to provide direction and reference for the field of standardized residency training in our country.Methods:Using CiteSpace visualized analysis software as a research tool, a statistical analysis was conducted on 1 120 pieces of literature in the field of standardized residency training retrieved from the core database of Web of Science.Results:The research strength of standardized residency training was mainly concentrated in the United States, with a total output of 697 papers, accounting for 62.23% of the total number of articles published in the past decade. High yield author Gillespie C published 8 papers, and highly cited author Aggarwal R's paper was cited 54 times. Acad Med, a highly cited journal, was cited the most frequently, with 470 citations in past 10 years. High frequency key words were "resident", "education", "performance", etc. Mutators included "system", "older adult", "operating room", and so on.Conclusion:The research hotspots in the field of standardized residency training in recent ten years include the teaching of residents, the assessment of clinical ability of residents, the standardized patients, etc. Frontier trends focus on resident self-assessment system, surgical training, resident professional core competences, etc.

Objective:To identify the key genes affecting the outcome of sepsis using weighted gene co-expression network analysis.Methods:The peripheral blood gene chip data GSE54514 from septic patients and healthy volunteers were obtained from the gene expression database of the American Center for Biotechnology Information.An R package for weighted gene co-expression network analysis was used to construct a co-expression network of differentially expressed genes between sepsis patients and healthy volunteers to identify key modules associated with the outcome of sepsis.Then gene functional enrichment analysis was performed to figure out the possible behavior of genes in the most significant modulerelated tooutcomes of sepsis.Hub genes were selected from the most significant module according to module membership and degree of protein-protein interaction network.Results:A total of 622 differentially expressed genes identified from the microarray data of GSE36895 in septic patients and healthy volunteers were used to construct a co-expression network, and the module with the most significant correlation with the outcome of sepsis was identified.GO enrichment analysis showed that the genes in this module were related to activation of myeloid cells and neutrophils, however, the KEGG pathway enrichment analysis showed that these genes played an important role in virus infection processes.Fifteen hub genes were finally selected from the module with the most significant correlation with the outcome of sepsis by constructing a protein-protein interaction network.Conclusion:Fifteen key genes related to the outcome of sepsis are identified via bioinformatics methods, and the mechanism is related to regulating the immune response to infection.

Objective: To investigate the association between consumption of cruciferous vegetables (CV), level of urinary isothiocyanates (ITC) and the risk of lung cancer among man in urban Shanghai. Methods: A nested case-control study was conducted within the Shanghai Men's Health Study. Using incidence density sampling with a 2∶1 control to case selection ratio, 885 controls were selected to match 443 lung cancer cases diagnosed prior December 31, 2010. A food-frequency questionnaire was administered to estimate CV consumption. The high performance liquid chromatography method was applied to measure urinary ITC level. The CV intake and urinary ITC level were divided into quartiles according to distribution of control group. The lowest quartile was as a reference group. Conditional logistic regression model was used to analyze the relationship between CV intake, urinary ITC level and the risk of lung cancer. Results: The cruciferous vegetables intake median (P₂₅, P₇₅) in cases and controls were 80.05 (46.89, 129.04) and 97.68 (55.25, 151.72) g/d (Z=-3.93, P<0.001). The urinary ITC level were 1.256 (0.474, 3.836) and 1.244 (0.484, 3.004) μmol/g Cr (Z=-0.39, P=0.697). After adjusting for potential confounding factors such as age, education level, smoking and alcohol consumption, for urinary ITC level, the OR(95%CI) for the highest quartile(≥3.004 μmol/g Cr) was 1.25 (0.87-1.80) compared with the lowest quartile(<0.484 μmol/g). For CV intake, the OR(95%CI) for the highest quartile(≥151.71 g/d) was 0.66 (0.43-1.02) compared with the lowest quartile(<55.25 g/d). Conclusion No association was found between the CV intake, urinary ITC level and lung cancer risk in men.

Objective: To investigate the clinicpathologic features and probable mechanisms of massive subcortical heterotopia. Methods: Clinical data, histologic features and neuropathologic data were analyzed in five cases of massive subcortical heterotopia collected from Xuanwu Hospital, Capital Medical University from January 2014 to October 2017. Results: All five patients (three males and two females) had a history of refractory epilepsy with a mean period of 15.4 years (range 7 to 21 years). The median age at surgery was 28.6 years(range 20 to 39 years). Magnetic resonance imaging showed that the lesions were located in the temporal lobe (two cases), parietal lobe (one case), both temporal and occipital lobes (one case) and both temporal and parietal lobes (one case). Pathologic examination disclosed that massive gray matter in subcortical and deep white matter with various shape and size. Moreover, one case also showed subpial and periventricular heterotopias and polymicrogyria. Polymicrogyria or hippocampal sclerosis were seen in the remaining three cases. None of the five patients experienced seizure attacks during the follow-up period. Conclusions Heterotopia is malformations due to abnormal neuronal migration. Massive subcortical heterotopia due to widespread abnormal neuronal migration is relatively rare. The mechanism of heterotopia together with polymicrogyria needs further discussion.