Background Occupational disease diagnosis appraisal is an appeal procedure initiated when a party disagrees with the occupational disease diagnosis conclusion. It is a legal procedure to safeguard the health rights of employees and the legitimate rights and interests of employers. Objective To analyze the data of occupational disease diagnosis appraisal in Shanghai, identify existing problems, and provide suggestions for improving. Methods Statistical analysis was conducted on basic situation, characteristics of workers and employers, disease classification, and consistency between diagnosis and appraisal conclusions of all occupational disease diagnosis appraisal cases from 2012 to 2024. All diagnosis conclusions were named in accordance with the Classified Catalogue of Occupational Diseases included employers were classified according to the Measures for the Statistical Classification of Large, Medium, Small and Micro Enterprises" and the Notice on Adjusting the Provisions for Classifying Enterprise Registration Types; industry classification followed the Industrial Classification for National Economic Activities (GB/T 4754-2017). Results From 2012 to 2024, a total of 260 cases of occupational diseases diagnosis appraisal were closed. The main diagnosis were 138 cases of ear, nose, throat, and oral diseases (53.1%), chemical poisoning (18.8%), and pneumoconiosis and other respiratory diseases (16.2%). The proportion of ear, nose, throat, and oral diseases gradually increased (2022 excluded). The incidence of annual municipal and provincial cases decreased by 76.3% and 85.0% respectively (2024 vs 2012). The consistency rate of conclusions between appraisal and diagnosis gradually increased. The total consistency rates between final appraisals and diagnostic conclusions were 81.5%, and 79.7%, 87.8%, 100.0%, 85.0% for ear, nose, throat, and oral diseases, chemical poisoning, and pneumoconiosis and other respiratory system diseases, respectively. Specifically, the consistency rates were 80.1% and 80.0% for noise-induced deafness and chronic benzene poisoning. In terms of inconsistency reasons, "inconsistent interpretation of standards and excessive discretion in standard application" accounted for 43.8%, followed by "failure to correctly apply standards" (31.3%) and and "discrepancies in occupational exposure history recognition" (15.6%). Conclusion The revisions and improvements of the legal system for occupational disease diagnosis appraisal have played a positive role in improving the consistency of conclusions between appraisal and diagnosis of occupational diseases in Shanghai. It is suggested to further strengthening the publicity and training of occupational disease diagnosis standards to improve the quality of occupational disease diagnosis.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

The discipline of allied health sciences provides vital support to clinical diagnosis and treatment while promoting the translation of medical research into practice.As the integration of medicine and engineering deepens,talent cultivation in allied health faces new opportunities and challenges.Herein,we reviewed representative cases from domestic and international universities that have implemented interdisciplinary training in fields related to allied health,including exploration and practices concerning the development of cross-disciplinary platform,dual-degree programs,and collaborative education mechanisms involving the academia,industry,and research.We highlight the efforts of the School of Allied Health,West China School of Medicine,Sichuan University,which has continuously improved its disciplinary system and training programs through top-level planning and platform construction.The School of Allied Health Sciences has accelerated platform construction and established a new model for multidisciplinary collaborative education.At the practical level,the school has promoted curriculum reform through initiatives in ideological and political theories education,instructional system design,and the development of textbook systems.The school has created courses focused on the integration of medicine and engineering,interdisciplinary project-based modules,and specialized project-based curricula.These initiatives aim to strengthen the foundation for training high-level interdisciplinary professionals in allied health sciences under the evolving landscape of medicine-engineering integration.This articile also highlights other prospects,such as establishing a collaborative education model integrating medicine and engineering through industry-university-research collaboration,optimizing academic program structures,and enhancing professional certification systems,to inform policy-making and optimize practice.

Depression， as one of the most common mental disorders， has imposed a heavy burden on individuals and society due to its increasing incidence rate. Exploring innovative treatment methods has become a research hotspot in recent years. Virtual reality （VR） technology， with its advantages such as immersion， interactivity and scalability， provides a new intervention approach for the treatment of depression. This article reviews the existing clinical research evidence， deeply analyzes the clinical application and research progress of VR technology in the treatment of depression， objectively assesses its clinical efficacy and potential limitations， with the aim of providing a reference basis for subsequent research. ［Funded by Key Research and Development Program Project of Human Province （number， 2021SK2029）］

TCM believes that spleen deficiency is the root cause of emotional abnormalities in chronic fatigue syndrome (CFS), and clinical treatment often involves the heart, liver and kidney. TCM therapy has a significant efficacy in CFS emotional abnormalities. It is mostly treated with oral administration of TCM, acupuncture, moxibustion and massage therapy. It may play a therapeutic role by improving oxidative stress and immune inflammation, regulating nerve-endocrine, controlling energy metabolism and other ways. It is suggested to establish the syndrome differentiation standard of CFS emotional abnormality in the future, so as to improve the accuracy of syndrome differentiation and treatment; form a perfect treatment guide or expert consensus to guide the standardized application of various internal and external treatment methods; explore objective indicators based on the pathogenesis, and focus on the morphological and functional changes of disease target brain regions with the help of neuroimaging techniques, so as to improve the diagnosis and prognosis evaluation of CFS; based on the guidance of TCM theory, improve the CFS emotional abnormal animal modeling method.

Objective:To evaluate the disinfection effect of high-energy pulse ultraviolet disinfection equipment in medical institution settings.Methods:The disinfection effect was evaluated through field tests and laboratory tests. Among them, 135 high-frequency contact points were selected from nine departments in the field test. Samples were collected before and after disinfection, and the disinfection effects of 75% alcohol wipes wiping disinfection, high-energy pulse ultraviolet disinfection robot disinfection and high-energy pulse ultraviolet handheld disinfection instrument were compared. In the laboratory test, 30 infected areas of the simulated test table were exposed to vertical ultraviolet irradiation and the bacterial-killing rate before and after disinfection was calculated.Results:In the field test, the bacteria-killing rates of 75% alcohol wipes, high-energy pulse ultraviolet disinfection robot and high-energy pulse ultraviolet handheld disinfection instrument were 94.99%, 91.53% and 95.94%, respectively, and the difference was statistically significant. The disinfection effect of the high-energy pulse ultraviolet handheld disinfection instrument was better than that of the high-energy pulse ultraviolet disinfection robot ( P values <0.05). In the laboratory test, the killing log value of Staphylococcus aureus and Escherichia coli on the carrier were both greater than 3.00. In the simulated field test, the killing log value of Staphylococcus aureus on the surface samples were 4.99. Conclusion:Both the high-energy pulse ultraviolet handheld disinfection instrument and the high-energy pulse ultraviolet disinfection robot have good disinfection effects, which are similar to the disinfection effects of conventional 75% alcohol wipes.

Objective To summarize the medication law of TCM in the treatment of chronic bronchitis;To provide reference for clinical medication.Methods Medical records of patients with chronic bronchitis who were hospitalized in the Respiratory Department of the First Affiliated Hospital of Henan University of Chinese Medicine from January 1,2016 to December 31,2021 were extracted based on HIS electronic medical record data.After screening,the TCM prescriptions used by patients with chronic bronchitis were input into Excel 2019 to establish a database.Based on the software Lantern 5.0,the latent structure model was learned,hidden variables and explicit variables were obtained,and the model was interpreted.SPSS Modeler 18.0 was used to establish model points with Apriori algorithm for Chinese materia medica with a frequency greater than 6%,to obtain the association rules between drugs,and to analyze the medication law of TCM in treating chronic bronchitis.Results A total of 3 410 cases were included,involving 423 kinds of Chinese materia medica,with a cumulative frequency of 82 766 times.Among them,109 kinds of Chinese materia medica with a frequency of>6 % had a cumulative frequency of 69 845 times.The top five commonly used medicines were Fritillariae Cirrhosae Bulbus,Poria,Atractyodis Macrocephalae Rhizoma,Asteris Radix et Rhizoma,Citri Reticulatae Pericarpium,mainly with medicines of reducing cough and phlegm,antiasthmatic medicine,tonifying deficiency,clearing heat,relieving superficies,promoting blood circulation and removing blood stasis.The medicinal properties were warming,cold and mild,and the main tastes were bitter,sweet and pungent,and the meridians were mainly lung,spleen,liver and stomach meridians.Through analysis of latent structure,49 hidden variables and 149 hidden classes were obtained.Combined with professional knowledge,10 comprehensive clustering models and 21 core formulas were deduced,such as Sangbaipi Decoction,Xuefu Zhuyu Decoction,Xiaoqinglong Decoction,Erchen Decoction,Shashen Maidong Decoction,Liuwei Dihuang Pills,Yinqiao Powder,Zhisou Powder,Yupingfeng Powder,Xuefu Zhuyu Decoction combined with Daotan Decoction,etc.It was concluded that the chronic bronchitis syndrome included phlegm-heat stagnation lung syndrome,qi stagnation blood stasis syndrome,cold fluid attacking lung syndrome,phlegm-dampness accumulation lung syndrome,lung qi and yin deficiency syndrome,kidney yin deficiency syndrome,wind heat attacking lung syndrome,wind cold attacking lung syndrome,lung qi and spleen deficiency syndrome,phlegm stasis interjunction syndrome.A total of 41 strong association rules were screened in the analysis of association rules,including 5 strong association rules for two and 36 strong association rules for three.The high confidence rules were Saposheikovize Radix + Angelicae Sinensis Radix →Atractyodis Macrocephalae Rhizoma,Saposheikovize Radix + Codonopsis Radix → Atractyodis Macrocephalae Rhizoma,Codonopsis Radix + Citri Reticulatae Pericarpium → Atractyodis Macrocephalae Rhizoma;the higher degree of improvement were Bupleuri Radix + Mori Cortex → Scutellariae Radix,Perillae Fructus + Belamcandae Rhizoma → Fritillariae Cirrhosae Bulbus,Armeniacae Semen Amarum + Pinelliae Rhizoma → Citri Reticulatae Pericarpium,etc.Conclusion In the treatment of chronic bronchitis,TCM is mainly used to reduce phlegm,relieve cough and asthma,and the method of promoting blood circulation and removing blood stasis is commonly used to help eliminate phlegm.In addition,TCM pays attention to the application of methods such as tonifying lung and securing the exterior,invigorating spleen and benefiting qi.

Purpose To explore the expression of autoph-agy-related 7(ATG7)in breast cancer and its effect on the breast cancer development.Methods Immunohistochemistry(IHC)was used to detect ATG7 protein expression in breast cancer tissues and the relationship between ATG7 and clinico-pathological features was analyzed.ShRNA was used to interfere with the expression of ATG7 in breast cancer cell line MCF-7.Puromycin was used to screen for stably transfected cells and Western blot was used to detect transfection efficiency.The effect of ATG7 knockdown cells on proliferation ability was de-tected by CCK8 and clone formation experiments.The effect of ATG7 knockdown cells on tumorigenicity in vivo was detected by subcutaneous tumor formation experiment in nude mice.Results IHC showed that ATG7 expression in breast cancer tissues was mainly localized in cytoplasm,and its expression was significant-ly correlated with tumor size and Ki67 expression(P＜0.05).ATG7-shRNA significantly interfered with ATG7 expression in breast cancer cells MCF-7.CCK8 and clone formation experi-ments showed that ATG7 knockdown promoted the cell prolifera-tion compared with the control group.The experiment of subcu-taneous tumor formation in nude mice showed that the tumor for-mation ability of mice was significantly increased after ATG7 knockdown compared with the control group.Conclusion ATG7 may inhibit the proliferation capacity of breast cancer and could be a potential target for breast cancer therapy.

Objective:To construct a rehabilitation nursing program for total knee arthroplasty (TKA) patients with kinesiophobia based on capacity, opportuniy, motivation-behavior (COM-B) theoretical model, and to provide reference for clinical staff to implement rehabilitation treatment.Methods:From August to December 2023, literature analysis was used to construct a preliminary program, combined the COM-B theoretical model with the rehabilitation exercise guidelines and expert consensus. The rehabilitation nursing program for TKA patients with kinesiophobia was formed through 2 rounds of Delphi expert correspondence consultation, and the analytic hierarchy process was used to calculate the weight of each item.Results:A total of 15 experts were included, including 4 males and 11 females, aged (45.80 ± 5.72) years old. The effective recovery rate of the 2 rounds of expert correspondence questionnaires were 15/15, the expert authority coefficients were 0.860 and 0.875, and the Kendall coordination coefficients were 0.155 and 0.172, and the differences were statistically significant ( χ2 = 97.70, 105.91, both P<0.01). The final rehabilitation nursing program for TKA patients with kinesiophobia included 3 primary indexes, 8 secondary indexes and 25 tertiary indexes. Conclusions:The rehabilitation nursing program for TKA patients with kinesiophobia constructed based on COM-B theoretical model is scientific and practical, and can provide a practical basis for clinical staff.

Objective:To investigate the practicality of TrueFidelity deep learning reconstruction algorithm in low-dose abdominal and pelvic CT angiography (CTA).Methods:The patients who required abdominal and pelvic CTA were prospectively included at the First Affiliated Hospital of Xi′an Jiaotong University from June 2020 to March 2021. All patients underwent low-dose CTA with a tube voltage of 80 kV and smart tube current modulation (100-720 mA). Images were reconstructed using the traditional FBP, adaptive statistical iterative reconstruction with a strength of 50% (ASIR-V 50%), TrueFidelity with medium (TF-M) and high (TF-H) strength. The CT value and standard deviation (SD value) of the abdominal aorta, psoas major muscle and subcutaneous fat in the same layer were measured, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were calculated. We also introduced the measurement of skewness of CT value in psoas major muscle with uniform density. The above indexes of the four groups of reconstructed images were compared. A 5-point scoring method was used to evaluate the granularity, fuzziness and beam-hardening artifacts of all images. Objective measurement indicators, such as CT values, were tested by repeated measure ANOVA with the Bonferroni post hoc test.Results:There were forty-six patients in the study. The volume CT dose index of the scan was low at (1.09±0.31)mGy. There was no significant difference in CT values of vessels and muscles between the four groups ( P>0.05), but there was a significant difference in SD value( P<0.001). The SD value of the FBP group was the largest and that of the TF-H group was the smallest. The difference between SNR and CNR was statistically significant ( P<0.001), and the overall trend was opposite to that of the SD value. There was no significant difference in the skewness between the four groups. The granularity score of the FBP group was the largest, that of the TF-H group was the smallest, and there was a significant difference among the four groups. The score of fuzziness in the TF-H group was slightly higher than that in the other three groups, but there was no significant difference. The beam-hardening artifact score of FBP and ASIR-V 50% group was the worst, and the TF-H group was the best ( P<0.001). Conclusions:Compared with FBP and ASIR-V, TrueFidelity reconstruction algorithm provides better image quality (comprehensively considering image noise, fuzziness, uniformity, and hardening artifacts) in low-dose CT scanning of abdominal and pelvic vessels, and TF-H has the best image quality.