ObjectiveTo evaluate the clinical efficacy and safety of Jingmaiyan granules （composed of Lonicerae Japonicae Flos， Sedi Herba， Paeoniae Radix Rubra， Moutan Cortex， Rhei Radix et Rhizoma Praeparata， and Glycyrrhizae Radix et Rhizoma） combined with external application of Jinhuang Ointment in treating acute-stage blood heat stasis type superficial thrombophlebitis （ST） of lower extremities， and to explore their effects on hemorheology and serum inflammatory factors. MethodsA randomized， double-blind， placebo-controlled clinical trial was conducted. A total of 124 patients with lower extremity ST were randomized into two groups（62 cases in each group）. The control group received external application of Jinhuang ointment and oral placebo treatment， while the observation group received external application of Jinhuang ointment and oral Jingmaiyan granules. Both groups were treated for 2 weeks. The clinical symptom scores， therapeutic efficacy of traditional Chinese medicine （TCM） syndrome， pain visual analog scale （VAS） scores， hemorheological indices ［including whole blood high-shear， medium-shear， and low-shear viscosity， as well as plasma viscosity （PV）］， and inflammatory factors ［C-reactive protein （CRP）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）］ were compared before and after treatment. ResultsAfter 2 weeks of treatment， the total effective rate in the observation group （98.3%， 60/62） was significantly higher than that in the control group （83.8%， 52/62）， with a statistically significant difference （Z=3.512 1， P<0.05）. Compared with pre-treatment scores， the scores for skin color， skin temperature， swelling， pain， and cord or nodules were significantly reduced in both groups （P<0.05）， with more pronounced improvement in the observation group （P<0.05）. Additionally， compared with pre-treatment levels， the whole blood viscosity （low-， medium-， and high-shear） significantly improved in both groups after treatment （P<0.05）， with more marked improvement in the observation group （P<0.05）. Furthermore， the plasma viscosity， CRP， IL-6， and TNF-α levels were significantly reduced in both groups after treatment （P<0.05）， with more pronounced improvement observed in the observation group （P<0.05）. ConclusionThe combination of external application of Jinhuang ointment and oral Jingmaiyan granules effectively improves clinical symptoms， hemorheological abnormalities， and inflammatory responses in patients with acute stage blood heat stasis type ST of lower extremities. The treatment is safe and holds clinical promotion value.

Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

OBJECTIVE: To observe the effect of the direct stimulation of acupuncture at extraocular muscle attachment point on acquired extraocular muscle palsy. METHODS: Thirteen patients with acquired extraocular muscle palsy were treated with acupuncture directly at extraocular muscle (paralytic muscle) attachment point. Firstly, the intraocular conjunctival sac drops of topical anesthetic (procaine hydrochloride eye drops) were administered, 0.2 mL each time, once every 10 minutes, for a total of 3 times. Acupuncture was delivered immediately after the third drop. The sterile acupuncture needle for single use, 0.25 mm×25 mm, was inserted at the anatomical location of the corneal limbal attachment of paralytic extraocular muscle, with an angle of 10° to 15° formed between the needle tip and extraocular muscle, and a depth of 0.3 mm to 0.5 mm. Pivoted by the needle tip, the eyeball was moved passively towards the direction of normal action of orbital muscle, 30 to 50 times until the patient felt soreness of the eyeball; afterwards, the needle was removed. After acupuncture, levofloxacin eye drops were administered once (0.2 mL) at the affected eye. The treatment was given twice a week, and completed when diplopia disappeared. Before and after treatment, the diplopia and the synoptophore circumference were observed respectively. RESULTS: After 7 to 24 (15.46±5.56) times of direct stimulation with acupuncture at extraocular muscle attachment point, the symptoms of diplopia disappeared in 13 patients, the eye position restored to orthophoria, and the circumference of synoptophore was reduced to be (4.04±0.82)° from (19.38±3.98)° detected before treatment (P<0.05). CONCLUSION Acupuncture directly at extraocular muscle attachment can attenuate diplopia and improve ocular muscle function in patients with acquired extraocular muscle palsy.
Humans ; Acupuncture Therapy ; Male ; Female ; Middle Aged ; Adult ; Oculomotor Muscles/physiopathology* ; Aged ; Acupuncture Points ; Ophthalmoplegia/physiopathology*

Objective:To explore the risk factors of insomnia among employees in the thermal power generation industry and the network relationships between their interactions, and to provide scientific basis for personalized interventions for high-risk groups with insomnia.Methods:In November 2022, 860 employees of a typical thermal power generation enterprise were selected as the research subjects by cluster sampling. On-site occupational health field surveys and questionnaire surveys were used to collect basic information, occupational characteristics, anxiety, depression, stress, occupational stress, and insomnia. The interaction between insomnia and occupational health psychological factors was evaluated by using structural equation model analysis and Bayesian network construction.Results:The detection rates of anxiety, depression and stress were 34.0% (292/860), 32.1% (276/860) and 18.0% (155/860), respectively. The total score of occupational stress was (445.3±49.9) points, and 160 workers (18.6%) were suspected of insomnia, and 578 workers (67.2%) had insomnia. Structural equation model analysis showed that occupational stress had a significant effect on the occurrence of insomnia in thermal power generation workers (standardized load coefficient was 0.644), and occupational health psychology had a low effect on insomnia (standardized load coefficient was 0.065). However, the Bayesian network model further analysis found that anxiety and stress were the two parent nodes of insomnia, with direct causal relationships, the arc strength was-8.607 and -15.665, respectively. The model prediction results showed that the probability of insomnia occurring was predicted to be 0 in the cases of no stress and anxiety, low stress without anxiety, and no stress with low anxiety. When high stress with low anxiety and low stress with high anxiety occurred, the predicted probability of insomnia occurring were 0.38 and 0.47, respectively. When both high stress and high anxiety occurred simultaneously, the predicted probability of insomnia occurring was 0.51.Conclusion:Bayesian network risk assessment can intuitively reveal and predict the insomnia risk of thermal power generation workers and the network interaction relationship between the risks. Anxiety and stress are the direct causal risks of insomnia, and stress is the main risk of individual insomnia of thermal power generation workers. The occurrence of insomnia can be reduced based on scientific intervention of stress conditions.

Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.

With the development of information technology, the massive growth of pharmaceutical electronic data and the significant increase in the reports of drug adverse event reports have brought great challenges to pharmacovigilance research. Data mining techniques can automatically extract the risk signals of adverse drug reaction from real-world data. Therefore, efficient data mining of massive adverse event reporting is a necessary measure to realize the automatic detection of adverse drug reactions. By introducing the current major large-scale adverse drug event reporting databases and related data mining methods, this study reviews the application and limitations of adverse drug reaction data mining technology in pharmacovigilance, which provides reference for pharmacovigilance-related institutions and researchers.

This article reports a case with the chief complaint of “hepatosplenomegaly to be investigated” and a confirmed diagnosis of Niemann-Pick disease type B after various tests， and a literature review was conducted to summarize the heterogeneous manifestations of liver involvement in type B Niemann-Pick disease， in order to improve the clinical management of difficult and rare liver diseases.

Objective:To explore the risk factors of insomnia among employees in the thermal power generation industry and the network relationships between their interactions, and to provide scientific basis for personalized interventions for high-risk groups with insomnia.Methods:In November 2022, 860 employees of a typical thermal power generation enterprise were selected as the research subjects by cluster sampling. On-site occupational health field surveys and questionnaire surveys were used to collect basic information, occupational characteristics, anxiety, depression, stress, occupational stress, and insomnia. The interaction between insomnia and occupational health psychological factors was evaluated by using structural equation model analysis and Bayesian network construction.Results:The detection rates of anxiety, depression and stress were 34.0% (292/860), 32.1% (276/860) and 18.0% (155/860), respectively. The total score of occupational stress was (445.3±49.9) points, and 160 workers (18.6%) were suspected of insomnia, and 578 workers (67.2%) had insomnia. Structural equation model analysis showed that occupational stress had a significant effect on the occurrence of insomnia in thermal power generation workers (standardized load coefficient was 0.644), and occupational health psychology had a low effect on insomnia (standardized load coefficient was 0.065). However, the Bayesian network model further analysis found that anxiety and stress were the two parent nodes of insomnia, with direct causal relationships, the arc strength was-8.607 and -15.665, respectively. The model prediction results showed that the probability of insomnia occurring was predicted to be 0 in the cases of no stress and anxiety, low stress without anxiety, and no stress with low anxiety. When high stress with low anxiety and low stress with high anxiety occurred, the predicted probability of insomnia occurring were 0.38 and 0.47, respectively. When both high stress and high anxiety occurred simultaneously, the predicted probability of insomnia occurring was 0.51.Conclusion:Bayesian network risk assessment can intuitively reveal and predict the insomnia risk of thermal power generation workers and the network interaction relationship between the risks. Anxiety and stress are the direct causal risks of insomnia, and stress is the main risk of individual insomnia of thermal power generation workers. The occurrence of insomnia can be reduced based on scientific intervention of stress conditions.

Objective:To explore the research hotspots and effective promotion paths of post market surveillance and supervise of medical consumables with non-active medical devices.Methods:Data mining methods were used to collect related journal literatures and documents from the websites of China regulatory institutions and the China National Knowledge Infrastructure(CNKI),order sub item data of medical device adverse event reports,extract the MeSH element words of literatures and documents,perform bibliometric analysis and visual display.Results:The number of medical devices adverse event reports in China has been increasing year by year,reaching 694 866 in 2022,in the four statistical years from 2019 to 2022,the number of reports on non-active medical devices and IVD reagents also showed a parallel increasing trend,accounting for about 65.00% of the total number of adverse event reports on medical devices in the year.The bibliometric analysis of journal literature shows that research in this field has received varying degrees of participation from regulatory institutions,universities,medical institutions,and enterprises.Regulatory institutions have contributed 46 articles,accounting for 56.79% of the total number of articles,followed by 28 articles from universities.The co-occurrence analysis shows that hot topic is focused in 5 clusters:quality management,risk management,international experiences discussion and adverse event surveillance and re-evaluation and real-world research.China regulatory institutions attach great importance to post market surveillance and supervise,and have issued more than 20 relevant documents since 2006,focusing on specific topics and gradually deepening around safety and effectiveness.Conclusion:The post market surveillance and supervise of medical devices,especially medical consumables based on non-active medical devices,need to be promoted synchronously in three dimensions:regulatory institutions,medical institutions,and enterprises.Universities,research institutes,and industry organizations should work in coordinating to strengthen the collection,identification,and active surveillance of risk signals based on adverse event surveillance,safety evaluation based on risk management,and conducting real-world research,research and develop risk control and corrective and preventive measures.

Objective To explore the current status of medication literacy among urban elderly patients with chronic diseases in Anhui Province,aiming to reveal the factors influencing their medication literacy,and to propose targeted measures for improvement.Methods This research involved 381 participants aged 60 and above.It was conducted in Anhui province between December,2022 and January,2023,with data collected through face-to-face interviews by pharmacists.Single-factor analysis and ordinal multi-class logistic regression analysis were conducted to determine factors affecting medication literacy.Results Medication literacy cognition and medication literacy behavior were rated as good among urban older adults in Anhui province of the 294 valid questionnaires.Those who did not understood package insert exhibited significantly lower medication literacy behavior than those who fully understood[estimate=-1.224,95%CI=(-2.130,-0.317),P<0.01].Elderly patients with chronic diseases faced issues such as an inability to read or understand drug instructions in the investigation.90.48%of elderly patients with chronic diseases never heard or seldom heard of medication guidance services.Conclusion Medication literacy among urban elderly patients with chronic diseases is generally good in Anhui province.The ability to understood drug instructions significantly influenced the medication literacy of urban elderly patients with chronic diseases.Modifying the drug instructions to meet the reading needs of the elderly patients with chronic diseases and developing pharmaceutical care could effectively enhance rational drug use among this demographic.