ObjectiveTo observe the clinical efficacy and safety of Modified Guomin Decoction （加味过敏煎， MGD） in patients with mild to moderate atopic dermatitis （AD） of the traditional Chinese medicine （TCM） pattern of heart fire and spleen deficiency， and to explore its possible mechanisms. MethodsIn this randomized， double-blind， placebo-controlled study， 72 patients with mild to moderate AD and the TCM pattern of heart fire and spleen deficiency were randomly divided into a treatment group and a control group， with 36 cases in each group. The treatment group received oral MGD granules combined with topical vitamin E emulsion， while the control group received oral placebo granules combined with topical vitamin E treatment. Both groups were treated twice daily for 4 weeks. Clinical efficacy， TCM syndrome scores， Visual Analogue Scale （VAS） for pruritus， Dermatology Life Quality Index （DLQI） scores， Scoring Atopic Dermatitis （SCORAD） and serum biomarkers， including interleukin-33 （IL-33）， interleukin-1β （IL-1β）， immunoglobulin E （IgE）， and tumor necrosis factor-α （TNF-α） were compared before and after treatment. Safety indexes was also assessed. ResultsThe total clinical effective rates were 77.78% （28/36） in the treatment group and 38.89% （14/36） in the control group， with cure rates of 19.44% （7/36） and 2.78% （1/36）， respectively. The treatment group showed significantly better clinical outcomes compared to the control group （P＜0.05）. The treatment group exhibited significant reductions in total TCM syndrome scores， including erythema， edema， papules， scaling， lichenification， pruritus， irritability， insomnia， abdominal distension， and fatigue scores， as well as reductions in VAS， DLQI， SCORAD， and serum IgE and IL-33 levels （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had significantly better improvements in all indicators except for insomnia （P＜0.05）. No adverse events occurred in either group. ConclusionMGD is effective and safe in treating mild to moderate AD patients with heart fire and spleen deficiency pattern. It significantly alleviates pruritus， improves TCM syndromes and quality of life， and enhances clinical efficacy， possibly through modulation of immune responses.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

The working principle of Bausch&Lomb BL11110 phacoemulsification system was described.Three cases of typical faults of the phacoemulsification system were introduced,and the causes were analyzed,then the maintenance measures were given accordingly.References were provided for diagnosing and eliminating the faults of the phacoemulsification system.[Chinese Medical Equipment Journal,2025,46(4):118-120]

The working principle of Bausch&Lomb BL11110 phacoemulsification system was described.Three cases of typical faults of the phacoemulsification system were introduced,and the causes were analyzed,then the maintenance measures were given accordingly.References were provided for diagnosing and eliminating the faults of the phacoemulsification system.[Chinese Medical Equipment Journal,2025,46(4):118-120]

Objective This study aims to explore the role of Insulin-like growth factor binding protein(IGFBP)7in the pathogenesis of nonalcoholic fatty liver disease(NAFLD).Methods A mouse model of NAFLD was established by feeding a high-fat diet and IGFBP7 was knocked out by injecting adeno-associated virus(AAV)-mediated short hairpin(sh)-IGFBP7 into the liver.The mice were randomly divided into 4 groups(n=6 per group):normal diet group(ND),high fat diet group(HFD),HFD empty carrier injection group(HFD/AAV-null),and HFD AAV-sh-IGFBP7 injection group(HFD/AAV-sh-IGFBP7).ND group was given normal diet for 12 weeks,HFD group,HFD/AAV-null group and HFD/AAV-sh-IGFBP7 group were given high fat diet for 4 weeks.HFD/AAV-sh-IGFBP7 group and HFD/AAV-null group were injected with 2 × 1011 genome copies of AAV-sh-IGFBP7 or AAV-null group,respectively,and then continued to be fed for 8 weeks.Body weight,liver wet weight and liver index of mice in each group were determined.Serum triglyceride(TG),total cholesterol(TC),alanine aminotransferase(ALT),aspartate aminotransferase(AST),free fatty acid(FFA),glycerol and liver TG of mice in each group were detected by biochemical analyzer.Real-time quantitative PCR and Western blot were used to detect IGFBP7 mRNA in each group.Protein expression levels and mRNA expression levels of sterol regulatory element binding protein 1c(SREBP-1c),fatty acid synthase(FASN),acetyl-CoA carboxylase1(ACC1)and stearoyl-CoA desaturase 1(SCD1)related to lipogenesis.Results Compared with ND group,body weight,liver wet weight,liver index and serum ALT,AST,FFA,TG,TC,glycerol and liver TG levels in HFD group were significantly increased,and the differences were statistically significant(P＜0.05),while body weight,liver wet weight,liver index and serum ALT,AST,and serum TG levels in HFD/AAV-sh-IGFBP7 group were significantly increased(P＜0.05).FFA,TG,TC,glycerol and liver TG levels increased less than those of HFD/AAV-null group,and the differences were statistically significant(P＜0.05).Compared with ND group,the expression levels of IGFBP7mRNA and protein in liver of mice in HFD group were increased,and the difference was statistically significant(P＜0.01).Compared with HFD/AAV-null group,the expression level of IGFBP7 protein in liver of HFD/AAV-sh-IGFBP7 group was significantly decreased,and the difference was statistically significant(P＜0.01).Compared with ND group,mRNA expression levels of SREBP-1c,FASN,ACC1 and SCD1 in liver tissues of mice in HFD group were significantly increased,with statistical significance(P＜0.01).Compared with HFD/AAV-null group,mRNA expression levels of SREBP-1c,FASN,ACC1 and SCD1 in HFD/AAV-sh-IGFBP7 group were decreased,and the difference was statistically significant(P＜0.01).Conclusion IGFBP7 is involved in hepatic steatosis during the development of NAFLD.Down-regulation of IGFBP7 can reduce the accumulation of lipid in the liver and has a protective effect on the pathogenesis of NAFLD,which may be a new drug for the treatment of NAFLD.

Methamphetamine abuse is a major public health problem in the world,and in recent years,methamphetamine is also the most abused synthetic drug in China.The neurotoxic or addiction mechanism of methamphetamine has not been fully clarified,and there is still a lack of specific withdrawal methods and drugs for methamphetamine abuse.Mitochondria are not on-ly the organelles to which methamphetamine directly produces toxic effects,but also participate in regulating the neurotoxic damage process of methamphetamine.Mitochondrial quality is the regulatory basis for maintaining mitochondrial homeostasis and is regulated by three main mechanisms,which are mitochon-drial biogenesis,mitochondrial dynamic,and mitophagy.This review summarizes the research progress of mitochondrial quality control in methamphetamine-induced neurotoxicity,which may provide theoretical support for further research on the mechanism of methamphetamine neurotoxicity and development the mito-chondria-targeting drugs.

Objective:To construct a competency evaluation indicator system for infection prevention and control nurses in Operating Rooms (hereinafter referred to as "IPC") and provide an objective basis for the management of IPC nurses.Methods:From June to November 2022, an initial competency evaluation indicator system for IPC nurses was developed through literature review and semi-structured interviews. The Delphi method was employed to consult 20 experts from 11 provinces and municipalities across the country. Analytical Hierarchy Process (AHP) and mean distribution method were applied to quantify and determine the weight of each level of indicators within the system.Results:Nineteen experts were finally included, with two rounds of questionnaire recovery rates of 95.00% (19/20) and 100.00% (19/19), respectively. The authority coefficients of the experts were 0.858 and 0.861, familiarity coefficients were 0.850 and 0.853, and coefficients of judgment basis were 0.865 and 0.868, respectively. The Kendall's W coefficient of concordance for the two rounds of inquiries were 0.139 and 0.202 ( P<0.05), respectively. The final IPC nurse competency evaluation indicator system included six primary indicators, 22 secondary indicators, and 66 tertiary indicators. Conclusions:The constructed IPC nurse competency evaluation indicator system is scientific, reasonable, objective, and comprehensive, providing a valuable reference for the capability training, assessment, entry standards, and qualification certification of IPC nurses.

Objective To propose a method for classifying small bowel capsule endoscopy images by combining the Swin Transformer network with an improved Adapt-RandAugment data augmentation approach,aiming to enhance the accuracy and efficiency of small bowel lesion classification and recognition.Methods An Adapt-RandAugment data augmentation approach was formulated based on the RandAugment data enhancement sub-strategy and the principles of no feature loss and no distortion when enhancing small bowel capsule endoscopy images.In the publicly available Kvasir-Capsule dataset of small bowel capsule endoscopic images,the Adapt-RandAugment data augmentation approach was trained based on the Swin Transformer network,and the convolutional neural networks ResNet152 and DenseNet161 were used as the benchmarks to validate the combined Swin Transformer network and Adapt-RandAugment data augmentation approach for small bowel capsule endoscopy image classification.Results The proposed algorithm gained advantages over ResNet152 and DenseNet161 networks in the indicators,which had the macro average precision(MAC-PRE),macro average recall(MAC-REC),macro average F1 score(MAC-Fi-S)being 0.383 2,0.314 8 and 0.290 5 respectively,the micro average precision(MIC-PRE),micro average recall(MIC-REC)and micro average F1 score(MIC-Fi-S)all being 0.755 3,and the Matthews correlation coe-fficient(MCC)being 0.452 3.Conclusion The proposed small bowel capsule endoscopy image classification method based on Swin Transformer network and Adapt-RandAugment data augmentation approach behaves well in classified recognition efficiency and accuracy.[Chinese Medical Equipment Journal,2024,45(6):9-16]

Objective To design a log strategy-based medical imaging equipment monitoring and management system to achieve intelligent monitoring and management based on the Internet of Things.Methods A medical imaging equipment monitoring and management system was developed with B/S architecture and Java language.The system constructed a keyword database of medical imaging equipment logs and log parsing rules by designing a strategy for collecting and analyzing medical imaging equipment log information,which consisted of three functional modules for intelligent analysis of medical imaging equipment abnormal status logs,intelligent reminder of medical imaging equipment monitoring parameter settings and risky failures and operational benefit analysis of medical imaging equipment.Results The system developed realized closed-loop management of medical imaging equipment through intelligent monitoring,shortened the average fault reporting and processing time and improved the efficiency of medical imaging equipment management.Conclusion The system developed implements intelligent mangement and benefit analysis for medical imaging equipment,and provides support for precision managment and decision making in modem hospitals.[Chinese Medical Equipment Journal,2024,45(7):40-45]

In order to elucidate the therapeutic effect and mechanism of action of Zhengqing Fengtongning Sustained-release Tablets on knee osteoarthritis, this study created a knee osteoarthritis model using 0.2 mL 40 g·L~(-1) papain and randomly divided the rats into the model group, high-dose and low-dose groups of Zhengqing Fengtongning Sustained-release Tablets, and celecoxib group. All groups were given the drug for four weeks, with the diameter of their knee joint being measured during this period. Hematoxylin-eosin staining and Senna solid green staining were utilized to observe the pathology of knee joint tissue in SD rats. The initial therapeutic impact of Zhengqing Fengtongning Sustained-release Tablets on knee osteoarthritis in rats was assessed by monitoring the levels of interleukin-1β(IL-1β) and interleukin-6(IL-6) in the plasma. Using a combination of non-targeted metabolomics and 16S rRNA techniques, researchers determined the variations in endogenous molecules and intestinal flora in rats and identified potential biomarkers. The results showed that Zhengqing Fengtongning Sustained-release Tablets improved the diameter of knee joint swelling, ameliorated the pathological damage of cartilage tissue, and reduced the plasma levels of IL-1β and IL-6 in rats with knee osteoarthritis. Metabolomics analysis identified 22 potential biomarkers associated with the modulatory effects of Zhengqing Fengtongning Sustained-release Tablets, including 5-hydroxytryptamine, corticosterone, methylmalonic acid, and other biomarkers, which were mainly involved in eight metabolic pathways, including tryptophan metabolism, vitamin K metabolism, steroid synthesis, and so on. The results of intestinal flora showed a decrease in the diversity of intestinal flora in the model group, an increase in the diversity of intestinal flora, and an improvement in the microecology of intestinal flora. Significant differences were found in Lachnospiraceae＿NK4A136＿group, Helicobacter, Lactobacillus, Bacteroides, and Parabacteroides. Finally, the results of the combined analysis showed that 22 biomarkers were correlated with five genera. The above results indicate that Zhengqing Fengtongning Sustained-release Tablets can improve the tissue morphology and structure of knee joints, reduce the level of plasma inflammatory factors, regulate the diversity of intestinal flora, and balance the metabolic pathways of steroid synthesis, vitamin K metabolism, and tryptophan metabolism to exert a therapeutic effect on knee osteoarthritis.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Rats, Sprague-Dawley ; Gastrointestinal Microbiome/drug effects* ; Osteoarthritis, Knee/genetics* ; Metabolomics ; Delayed-Action Preparations/administration & dosage* ; Male ; Tablets ; Humans ; Interleukin-1beta/blood* ; Interleukin-6/blood*