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*

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 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 monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To investigate the effect of nasal mask on preventing respiratory depression and hypoxia during anesthesia under painless gastroscopy.Methods 246 patients underwent elective painless gastroscopy from September 2022 to March 2023 were selected and divided into nasal catheter oxygen group(group C)and nasal mask oxygen group(group M)according to random number table method.The group C was inhaled oxygen by conventional nasal cannula,and in group M,oxygen was inhaled by a nasal mask.Patients in both groups were given 5 L/min preoxygenation for 3 min.After induction of anesthesia,gastroscopy was performed when modified observer's assessment of alertness/sedation(MOAA/S)score≤1.During anesthesia,hypoxia interventions were performed in group C based on percutaneous arterial oxygen saturation(SpO2)and in group M based on partial pressure of end-tidal carbon dioxide(PetCO2)and SpO2.The incidence of subclinical respiratory depression,hypoxia and severe hypoxia during anesthesia was recorded.The minimum SpO2 value during anesthesia was recorded;Implementation of intervention measures of jaw lifting,mask pressure oxygen and tracheal intubation.Record the number of gastroscope withdrawal cases.Mean arterial pressure(MAP),heart rate(HR),and respiratory rate(RR)were recorded at the time of entry(T0),immediately after induction of anesthesia(T1),at the end of gastroscopy(T2),and 5 minutes after awakening(T3).The occurrence of perioperative adverse events and the satisfaction of anesthesiologists and endoscopists were recorded.Results Compared with group C,the incidence of subclinical respiratory depression,hypoxia and severe hypoxia in group M was significantly decreased(P<0.05).The minimum value of SpO2 during anesthesia in group M was higher than that in group C(P<0.05).The incidence of jaw-lifting and mask ventilation were lower in group M than that in group C(P<0.05).The incidence of gastroscope withdrawal due to airway intervention in group M was lower than that in group C(P<0.05).Compared with T0,MAP,HR and RR of the two groups were significant reduction at T1 and T2(P<0.05).There was no significant difference in the incidence of adverse events between the two groups(P>0.05).The satisfaction of endoscopists in group M was higher than that in group C(P<0.05).Conclusion Compared with nasal catheter oxygen inhalation,anesthesia nasal mask can timely detect hypopnea and respiratory depression during gastroscopy,reduce the occurrence of hypoxia,and improve the airway safety of painless gastroscopy patients.

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.

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.