This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

This paper presents an automatic acquisition and analytic procedure of acupuncture manipulation based on optical navigation, aiming at solving the shortcomings of existing acquisition methods of acupuncture manipulation. An acquisition holder installed at the handle tail of filiform needle was designed to display the movement trajectory of the needle during acupuncture delivery by collecting the movement trajectory of holder. The 3-month old male Bama miniature pig was selected as the experimental subject, and 6 points, "Bojian" "Qiangfeng" "Housanli" "Xiaokua" "Huiyang" (BL35) and "Baihui" (GV20), were selected during acupuncture manipulation. The optical navigation system was used to collect the real-time data, and these data were per-processed and analyzed using mean filtering and Fourier transform. The acupuncture procedure was divided into 3 stages, inserting, lifting-thrusting, and twisting. The results showed that the accuracy was 96.3% at lifting-thrusting stage, and that was 100.0% at twisting stage. The decomposition effect of the entire procedure was satisfactory. This study provides a new approach to the quantitative analysis of acupuncture manipulation. In the future, it needs to further optimize the algorithm and expand the sample size so as to improve the accuracy of this analytic technique.
Acupuncture Therapy/methods* ; Male ; Animals ; Swine ; Acupuncture Points ; Humans ; Swine, Miniature ; Needles

The construction of experimental animal models plays an important supporting role in research into the mechanisms of action of Chinese medicines.There have been increasing reports of the construction and evaluation of animal models of spleen deficiency;however,the construction method have involved different standards and there has been insufficient objectification of the evaluation indexes.In this review,we summarize the construction and evaluation method of animal models of spleen deficiency from the aspects of animal selection,model establishment,macroscopic characterization,behavioral experiments,and objective indexes of spleen deficiency,with a view to providing theoretical guidance for the construction of experimental animal models of spleen deficiency and references for the selection of animal model platforms for spleen deficiency.

Objective This study aimed to develop an experimental animal platform for evaluating the feasibility and safety of intelligent acupuncture robots and to lay the foundation for further research.Methods Six 2-month-old Guangxi Bama miniature pigs were used as experimental subjects for acupuncture verification after anesthesia.First,manual acupuncture verification was carried out.Six acupoints were selected for each experimental animal and the needles were left for 20 min after the lifting,inserting,and twisting manipulation.Before and after controls were included.The experiment was carried out for 28 days,and each experiment was conducted once every 2 days for a total of 10 times.After verification of manual acupuncture,a point 10 mm from each of the six selected acupoints was selected,with a total of 12 points,and acupuncture operations were carried out on the experimental animals using the intelligent acupuncture module of the acupuncture robot at different frequencies and angles,to further verify the stability and feasibility of the animal platform.Results Routine safety-related blood indicators and blood biochemistry indicators after the procedure were normal and stable compared with those before the procedure.The average heart rate of the animals was 124 beats/min,the average blood pressure was 87/36 mmHg,and the average body temperature of was 36℃at a room temperature of 25℃,with no significant change in body temperature during and after the experiment.On the basis of this experimental platform,acupuncture manipulation using the intelligent acupuncture module of the acupuncture robot was completed successfully,with no abnormalities related to acupuncture such as bending,breaking,or stagnation of needles during the experimental process,and the experimental animals showed no obvious abnormalities.Conclusions This study established a stable experimental animal platform for evaluating the feasibility and safety of acupuncture carried out by intelligent acupuncture robots,based on the existing experimental method of miniature pigs.These result lay a foundation for further research related to the use of intelligent acupuncture robots.

OBJECTIVE: To evaluate the performance of a newly developed intelligent acupuncture robot that simulates human manual acupuncture techniques through an animal experiment using miniature pigs. METHODS: Two 3-month-old Bama miniature pigs were selected. One pig was used for the manual needling techniques of the practitioner, and the other pig was used for the intelligent acupuncture robot. The acupoints selected were "Qiangfeng" "Bojian" "Xiaokua" "Huiyang" (BL 35) and "Baihui" (GV 20), with a straight insertion depth of 25-35 mm. The manipulation techniques, including lifting-thrusting and twisting at a frequency of 90 times/min, were applied for 1 min, with 30 s each for lifting-thrusting (10 mm amplitude) and twisting (180° angle). The practitioner's needling techniques were captured using an optical motion capture system, and the collected data were input into the intelligent acupuncture robot for replication on the second miniature pig. A complete needling session of five acupoints was considered one round, and three rounds were performed per session, every other day, for a total of five sessions, completing 15 rounds. The Fréchet distance method was used to compare the robot's replicated needling data with the practitioner's data, and curve fitting analysis was conducted to evaluate the robot's performance and precision. RESULTS: The intelligent acupuncture robot achieved a total completion rate of 96.00% for 75 needling operations, with a non-completion rate of 4.00%. The robot's replication of the practitioner's needling techniques showed a good fit, with many characteristic points overlapping. The average Fréchet distance was 18.67. The Fréchet distance for the lifting-thrusting and twisting techniques at Baihui (GV 20) and "Huiyang" (BL 35) acupoints was smaller than that at "Xiaokua" and "Qiangfeng" points (P<0.01). The accuracy of the lifting-thrusting technique at "Xiaokua" and "Qiangfeng" acupoints was lower than the twisting technique (P<0.01). CONCLUSION The intelligent acupuncture robot is able to replicate the pre-recorded manual needling parameters with a high degree of accuracy.
Animals ; Swine ; Swine, Miniature ; Acupuncture Therapy/methods* ; Robotics/instrumentation* ; Humans ; Acupuncture Points ; Female ; Male

Objective:The decline in nutritional status in patients with severe pneumonia may contribute to an increase in in-hospital mortality. Enteral nutrition support can improve the nutritional status of patients, and is relatively easy to manage, with low cost and fewer serious complications. On the other hand, adverse reactions such as gastric retention and gastric microbiota translocation may increase the incidence of nosocomial pneumonia and increase the uncertainty of patient prognosis. There is no predictive model for in-hospital death in severe pneumonia patients receiving enteral nutrition support. The objective of this study was to investigate the risk factors of in-hospital death in patients with severe pneumonia receiving enteral nutrition support and to establish a prognostic model for such patients.Methods:This was a single-center retrospective study. Patients with severe pneumonia who were hospitalized in Peking Union Medical College Hospital and received enteral nutrition support were included from January 1, 2015 to December 31, 2020. The primary endpoints were in-hospital mortality rate and unordered discharge rate. The independent risk factors were determined using univariate and multifactorial logistic regression analysis, the nomogram scoring model was constructed, and the decision curve analysis (DCA) was performed.Results:A total of 632 severe pneumonia patients who received enteral nutrition support were included. Patients were divided into death and survival groups according to the presence or absence of in-hospital death, and 24 parameters were found with significant differences between groups. Nine parameters were independent predictors of mortality, namely the duration of ventilator use, the presence of malignant hyperplasia diseases, the maximal levels of platelet and prothrombin during hospitalization, and the nadir levels of alanine aminotransferase, serum albumin, sodium, potassium, and blood glucose. Based on these variables, a risk prediction scoring model was established (ROC = 0.782; 95% CI: 0.744 to 0.819, concordance index: 0.772). Calibration curves, DCA, and clinical impact curve were plotted to evaluate the goodness of function, accuracy, and applicability of the predictive nomogram, using the training and test sets. Conclusion:This study summarized the clinical characteristics of patients with severe pneumonia receiving enteral nutrition support and developed a scoring model to identify risk factors and establish prognostic models.

Objective:To analyze the intervention effect of rehabilitation platform-based online psycho-education on patients with bipolar disorder (BD) in remission stage.Methods:In this randomized controlled study, 91 patients with BD in remission stage who attended the community health center in Xicheng District, Beijing from July to August 2021 were randomly divided into a test group (46 cases) and a control group (45 cases) according to a 1∶1 ratio using the random number table. Baseline data were collected from both groups, and the control group received conventional medication and community telephone follow-up, while the test group was given online mental health education in the form of a WeChat subscription number on this basis, including BD mental health education course push (twice a week) and disease self-management (daily recording of mood, sleep, medication, exercise and gratitude diary), and the intervention period was 6 months in both groups. During the intervention, one patient in the test group was admitted to hospital due to exacerbation of mental illness and the trial was terminated. A total of 90 cases were included in the study. The scores of Medication Adherence Rating Scale (MARS), Hamilton Depression Scale (HAMD), Young Mania Rating Scale (YMRS) and Perceived Devaluation-Discrimination Scale (PDD) were assessed at baseline, after 3 months and 6 months of intervention in both groups, respectively. And the differences in baseline data between the two groups were compared using two independent samples t test and χ2 test, and the repeated-measures ANOVA was used to compare the differences in MARS, HAMD, YMRS, and PDD scores between the two groups before and after the intervention, and to analyze the intervention effects of network mental health education based on the rehabilitation platform on patients in remission stage of BD. Results:After 6 months of intervention, MARS scores in the test group was significantly higher than that in the control group [(8.47±1.75) vs (7.47±1.85)], and was significantly higher than that at baseline (7.36±2.13) and after 3 months of intervention (8.04±1.68) (all P<0.05). YMRS and PDD scores in the test group were significantly lower than those at baseline after 3 and 6 months of intervention [YMRS, 2.0(1.0,4.0),2.0(0,3.0) vs 3.0(1.0,5.5); PDD, (31.18±4.65), (30.13±4.76) vs (32.51±4.51)] (all P<0.05); the differences in YMRS and PDD scores in the control group were not statistically significant (all P>0.05). There was no statistically significant difference in HAMD scores between the two groups before and after the intervention (all P>0.05). Conclusion:Combining mental health education based on rehabilitation platform with conventional medication and community management can significantly improve the medication compliance of patients with BD in remission stage, and improve their manic symptoms and reduce the stigma of the disease.

Objective:To investigate the effects of Porphyromonas gingivalis ( P. gingivalis) fimbrillin (FimA) on the progression of esophageal squamous cell carcinoma (ESCC). Methods:Wild-type P. gingivalis and fimA gene-deleted P. gingivalis ( fimA-/-P. gingivalis) were used to infect ESCC cells after morphology and PCR identification. Immunofluorescence, CCK-8 and Transwell chamber were used to detect the effects of FimA on the infectivity of P. gingivalis and it influences on cell invasion, proliferation and migration. Western blot was used to detect pSmad2/3 changes. The growth of tumor was detected in a nude mouse model bearing subcutaneous tumor. Results:Deletion of FimA might reduce the interbacterial adhesion of P. gingivalis. Compared with wild-type P. gingivalis, less fimA-/-P. gingivalis could infect NE6-T cells. Moreover, the proliferation, migration and invasion of NE6-T and KYSE30 cells as well as the activation of pSmad2/3 induced by P. gingivalis were inhibited after deletion of FimA. The growth of KYSE30 infected by fimA-/-P. gingivalis in nude mice was significantly slower than that of the wild-type P. gingivalis group. Conclusions:FimA mediated the effects of P. gingivalis on promoting the evolution of ESCC and was a potential target molecule to block the tumor-promoting effect of P. gingivalis.

ObjectiveTo study the prevalence of depression and the related influencing factors among the frontline healthcare professionals in the prevention and control of risk of imported COVID-19 cases， so as to provide references for improving their mental health status. MethodsBased on Wenjuanxing platform， a total of 984 frontline healthcare professionals participating in the screening and treatment of imported COVID-19 cases in Beijing Xiaotangshan hospital were assessed using Patients’ Health Questionnaire Depression Scale-9 item（PHQ-9）. ResultsA total of 770 questionnaires were collected with a valid rate of 78.3%， among which 344 cases （44.7%） had depressive symptoms. Logistic regression analysis showed that great changes in work content （OR=2.206， P<0.01）， sleep deprivation （OR=2.359， P<0.01）， six hours or less of sleep （OR=2.032， P<0.05）， focusing on epidemic information more than 1 hour per day （OR=1.095， P<0.05） were risk factors for depression， and regular exercise （OR=0.473， P<0.01） was a protective factor for depression relief. ConclusionThe frontline healthcare professionals in the prevention and control of risk of imported COVID-19 cases suffer a high risk of depression， while measures including scientific shift system， adequate sleep， less attention to the epidemic， and regular exercise may be effective in maintaining their physical and mental health.

Objective:To investigate the relationship between self-management ability and self-efficacy in coronary heart disease (CHD) patients, and the influential factors.Methods:From April to June 2016, a questionnaire survey was conducted among 236 patients with coronary heart disease selected by simple random sampling method in the outpatient clinic of Pengpu Community Health Service Center; and the Coronary Artery Disease Self-management Scale and self-efficacy questionnaire were used in the survey. The correlation between scores of the two scales was analyzed; the scores were compared between patients with percutaneous coronary intervention (PCI) and those without PCI, between patients with myocardial infarction (MI) and those without MI. Multiple linear regression was performed to elucidate the influencing factors of self-management ability and self-efficacy of CHD patients.Results:The mean scores of self-management ability and self-efficacy were (75.5±15.5) and (24.8±10.8), respectively. The self-management ability was significantly correlated with self-efficacy in CHD patients(r=0.398-0.683, P<0.05). The self-management score of patients with PCI was higher than those without PCI[ (80.4±14.9) vs.(72.5±15.1), t=3.38, P<0.01]. The scores of self-management[(85.0±16.4) vs.(72.9±14.2), t=5.14, P<0.01]and self-efficacy[(29.3±12.0) vs. (23.6±10.2), t=3.39, P<0.01] of patients with MI were higher than those without MI. Multiple linear stepwise regression analysis indicated that age over 65, history of MI, history of PCI, history of smoking and self-efficacy score were all factors influencing self-management behavior in patients with CHD ( R=0.735; R2=0.540; F=26.451, P<0.01). Smoking history and self-management score were the influencing factors of self-efficacy in patients with CHD ( R=0.690; R2=0.476; F=20.425, P<0.01). Conclusion:The self-efficacy of patients with CHD is closely related to their self-management behavior, so we should strengthen their self-efficacy and improve their self-management level by comprehensive measures, particularly for patients without PCI.