The machine learning is used increasingly and widely in acupuncture prescription optimization, intelligent treatment and precision medicine, and has obtained a certain achievement. But, there are still some problems remained to be solved such as the poor interpretability of the model, the inconsistency of data quality of acupuncture research, and the clinical application of constructed models. Researches in future should focus on the acquisition of high-quality clinical and experimental data sets, take various machine learning algorithms as the basis, and construct professional models to solve various problems, so as to drive the high-quality development of acupuncture research.
Acupuncture Therapy/trends* ; Machine Learning ; Humans ; Algorithms

The paper introduces 5 books written by WANG Mengying, including Suixiju Chongding Huoluan Lun, Guiyan Lu, Wenre Jingwei, Wang Mengying Yi'an and Suixiju Yinshipu; and analyzes the ideas of diagnosis and treatment of cholera and the academic thoughts in treatment with acupuncture-moxibustion therapy. In pathogenesis, cholera is classified into cold and heat types. Cholera of heat type roots on qi and blood. If the pathogenic factors are mild and located shallowly, the sneezing method, followed by scraping method, is adopted to open meridians and collaterals, as well as the qi level, so as to eliminate pathogens. When the pathogens go deeply, the bloodletting technique is used to clean the toxic heat in blood level and reduce the reversed qi. For cholera of cold type, warm ironing moxibustion is delivered to promote qi circulation and disperse cold, and improve qi movement. If spasm and syncope occur in cholera, no matter of cold or heat identification, the emergent measure is operated with the external application of pungent, warm and salty herbal plaster at Yongquan (KI1). When the pathogens are almost eliminated, the herbal medicines are combined to treat the symptoms and remove the causative factors of the disease.
Acupuncture Therapy/history* ; Moxibustion/history* ; Humans ; Cholera/history* ; China ; History, Ancient ; Medicine in Literature ; Books/history*

OBJECTIVE: To investigate the current status of kinesiophobia after lumbar fusion surgery in patients with lumbar disc herniation (LDH) and to analyze its influencing factors. METHODS: A total of 489 LDH patients who underwent lumbar fusion surgery in our hospital from January 2021 to December 2022 and effectively filled out the tampa scale for kinesiophobia (TSK) and other questionnaires on the first day after surgery were collected as the study subjects, the current status of kinesiophobia in LDH patients after lumbar fusion surgery were investigated using the TSK. The LDH patients were grouped into a kinesiophobia group (n=221) and a non kinesiophobia group (n=268) based on whether there was kinesiophobia after lumbar fusion surgery. The self-designed general data questionnaires were used to collect data, and Logistic regression was applied to analyze independent risk factors for kinesiophobia after lumbar fusion surgery in the LDH patients. RESULTS: In the study, 221 out of the 489 LDH patients (45.19%) had kinesiophobia after lumbar fusion surgery. Univariate analysis showed that there were statistically significant differences between the phobic group and the non phobic group in terms of gender, education level, course of disease, whether there was hypoproteinemia, pain level, self-efficacy, social support, whether there was anxiety, and whether there was depression (P < 0.05). There were no statistically significant differences in terms of age, body mass index, monthly family income, marital status, residence, medical expense payment form, whether there was hypertension, whether there was diabetes, whether there was cardiovascular and cerebrovascular disease, whether there was respiratory disease, whether there was surgery experience, whether there was anemia, work conditions, and responsibility segments (P>0.05). Male (95%CI: 3.289-10.586, P < 0.001), education level below undergraduate level (95%CI: 6.533-45.162, P < 0.001), severe pain (95%CI: 10.348-72.025, P < 0.001), moderate pain (95%CI: 6.247-37.787, P < 0.001), low self-efficacy (95%CI: 4.238-15.095, P < 0.001), and medium self-efficacy (95%CI: 2.804-8.643, P < 0.001) were influencing factors for kinesiophobia after lumbar fusion surgery in the patients with LDH (P < 0.05). CONCLUSION The incidence of kinesiophobia after lumbar fusion surgery in patients with LDH is high, and its influencing factors include gender, education level, pain level, and self-efficacy.
Humans ; Spinal Fusion/psychology* ; Intervertebral Disc Displacement/psychology* ; Lumbar Vertebrae/surgery* ; Male ; Female ; Middle Aged ; Phobic Disorders/etiology* ; Surveys and Questionnaires ; Adult ; Risk Factors ; Aged ; Fear ; Kinesiophobia

Objective:To relate the changes in electroencephalography (EEG) signals after a spinal cord injury (SCI) with functional independence.Methods:The EEG data describing ninety SCI patients in both open and closed eye states were compared with those collected from 45 healthy counterparts. The SCI patients′ EEG data were correlated with their spinal cord independence measure (SCIM) scores at corresponding time points. The SCI patients were divided into a cervical SCI group (SCI-C group) and a non-cervical SCI group (SCI-NC group), with 45 cases in each group. The difference in EEG data between them and its correlation with the SCIM scores were also compared and analyzed.Results:In the eyes-open state, the EEG power in the frontal, central, temporal, and right occipital regions of the SCI group was lower than among the control group, on average. There were significant differences in the δ and θ low-frequency bands. The α1 band power in the frontal and right parietal regions was significantly higher in the SCI group, on average. With the eyes closed the δ band power in the right prefrontal, frontal, left central, and temporal regions of the SCI group was lower than among the control group, while the α1 band power in the right prefrontal, frontal, central, and parietal regions was significantly higher. The reactivity to eye opening of the α1 band in the right prefrontal, frontal, central, parietal, and temporal regions was less in the SCI patients compared to healthy subjects. Among the SCI patients, higher EEG power in the β2 band of the right frontal lobe and the α2 and β bands of the right temporal lobe was significantly positively correlated with higher SCIM scores during the eyes-open measurements. And the higher EEG power in the α2 band of the prefrontal and frontal lobes, the β2 band of the frontal lobe, the α2 band of the right central region, the α2 and β bands of the temporal lobe, and the α2 and β2 bands of the occipital lobe was significantly positively correlated with higher SCIM scores during the eyes-closed state. The subgroup analysis showed that the δ band power in the left temporal lobe and the α2 band power in the parietal lobe were lower among the SCI-C compared with the SCI-NC patients in the eyes-open state. With the eyes closed, the δ band power in the left frontal, left parietal, and left temporal lobes and the α2 band power in the frontal, central, parietal, temporal, and right occipital lobes was significantly lower in the SCI-C group compared to the SCI-NC group, on average. The reactivity to eye opening of the δ band in the temporal lobe, the α2 band in the left prefrontal, frontal, central, parietal, temporal, and right occipital lobes, and the β2 band in the right parietal and left occipital lobes was less in the SCI-C group than in the SCI-NC group ( P≤0.05). Among the SCI-C patients, higher EEG power in the β1 and β2 bands of the right temporal lobe with the eyes open was significantly positively correlated with higher SCIM scores. With the eyes closed, higher EEG power in the α2 and β1 bands of the right prefrontal lobe was significantly positively correlated with higher SCIM scores. Among the SCI-NC patients, higher EEG power in the δ band of the prefrontal lobe, the β1 and β2 bands of the left prefrontal lobe, and the δ bands of the frontal, central, right parietal, and right temporal lobes during the eyes open measurements was significantly positively correlated with higher SCIM scores. Conclusions:The EEG power of cervical and non-cervical SCI patients shows characteristic changes which correlate with their functional independence.

Objective To investigate the electroencephalography(EEG)signal characteristics in patients with neuropathic pain(NP)associated with spinal cord injury(SCI).Methods A total of 90 patients with SCI from January,2018 to November,2023 were selected from the EEG database of the Department of Rehabilitation Medicine,Xijing Hospital,and divided into NP group(n=46)and non-NP group(n=44)according to their symptoms.The resting-state EEG power and reactivity to eye-opening were compared between two groups.Results Compared with non-NP group,EEG power increased in frontal lobe in α and β1 bands,central lobe in δ,θ,α1 and β1 bands,parietal lobe in α and β1 bands,temporal lobe in α and β1 bands,left occipital lobe in α2 band,and occipital lobe in α1 and β1 bands(|Z|>1.998,P<0.05)in NP group during eye-opening;during eye-closing,EEG power increased in prefrontal lobe in α1 and β1 bands,right frontal lobe in θ band,frontal lobe in α and β1 bands,left frontal lobe in β2 band,central lobe in δ,α1 and β1 bands,parietal lobe in α1 and β1 bands,left pari-etal lobe in α2 and β2 bands,right temporal lobe in θ band,temporal lobe in α and β bands,occipital lobe in α1 and β1 bands,and left occipital lobe in β2 band(|Z|>1.970,P<0.05);while the reactivity to eye-opening de-creased in right prefrontal lobe in β1 band,frontal lobe in θ,α and β bands,right central lobe in β1 band,parietal lobe in α1 and β1 bands,right parietal lobe in β2 band,right temporal lobe in δ and θ band,temporal lobe in α1 and β bands,left occipital lobe in α1 band,and occipital lobe in β1(|Z|>1.967,P<0.05).Conclusion Resting-state EEG power characteristically elevates in NP patients after SCI,and the reactivity to eye-open-ing reduces.

Objective:To investigate the application effect of entrustable professional activities (EPAs) in competency evaluation of dermatology residents, to practice the goal of hierarchical progressive training for EPAs competency in dermatology residents, and to improve the competency of physicians.Methods:A questionnaire survey was conducted among 8 clinical instructors and 165 residents who received standardized residency training in Department of Dermatology, The First Affiliated Hospital of Jinzhou Medical University, from September 2019 to September 2022, and self-assessment and trainer-assessment were performed based on EPAs. The Kruskal-Wallis H test and the Mann-Whitney U test were used for comparison of entrustable level between the dermatology residents of different grades. Results:The scores of both trainer-assessment and self-assessment based on EPAs increased with the increase in the grade of the resident physicians, and the resident physicians of the third year (the PGY3 group) had the highest levels of trainer-assessment and self-assessment based on EPAs. The resident physicians of all grades showed relatively low assessment scores of EPA4 (making a medical decision), EPA8 (recognize a patient requiring urgent or emergent care and initiate evaluation and management), EPA14 (clinical teaching), and EPA15 (public health events management). There were significant differences in all EPAs items of trainer-assessment and self-assessment between the residents of different grades (Kruskal-Wallis test, P<0.05). There was a significant difference in trainer-assessment between PGY1 and PGY2 and between PGY1 and PGY3 (Bonferroni P correction, P<0.05), while there was no significant difference between the PGY2 and PGY3 groups ( P>0.05). Conclusions:There are differences in the evaluation of EPAs in dermatology residents of different grades, and hierarchical progressive training of EPAs competency can effectively improve the clinical competency of dermatology residents. Given the inconsistency between the scores of self-assessment and trainer-assessment, it is necessary to improve the feedback plan in the future.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Objective To investigate the electroencephalography(EEG)signal characteristics in patients with neuropathic pain(NP)associated with spinal cord injury(SCI).Methods A total of 90 patients with SCI from January,2018 to November,2023 were selected from the EEG database of the Department of Rehabilitation Medicine,Xijing Hospital,and divided into NP group(n=46)and non-NP group(n=44)according to their symptoms.The resting-state EEG power and reactivity to eye-opening were compared between two groups.Results Compared with non-NP group,EEG power increased in frontal lobe in α and β1 bands,central lobe in δ,θ,α1 and β1 bands,parietal lobe in α and β1 bands,temporal lobe in α and β1 bands,left occipital lobe in α2 band,and occipital lobe in α1 and β1 bands(|Z|>1.998,P<0.05)in NP group during eye-opening;during eye-closing,EEG power increased in prefrontal lobe in α1 and β1 bands,right frontal lobe in θ band,frontal lobe in α and β1 bands,left frontal lobe in β2 band,central lobe in δ,α1 and β1 bands,parietal lobe in α1 and β1 bands,left pari-etal lobe in α2 and β2 bands,right temporal lobe in θ band,temporal lobe in α and β bands,occipital lobe in α1 and β1 bands,and left occipital lobe in β2 band(|Z|>1.970,P<0.05);while the reactivity to eye-opening de-creased in right prefrontal lobe in β1 band,frontal lobe in θ,α and β bands,right central lobe in β1 band,parietal lobe in α1 and β1 bands,right parietal lobe in β2 band,right temporal lobe in δ and θ band,temporal lobe in α1 and β bands,left occipital lobe in α1 band,and occipital lobe in β1(|Z|>1.967,P<0.05).Conclusion Resting-state EEG power characteristically elevates in NP patients after SCI,and the reactivity to eye-open-ing reduces.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Objective:To investigate the application effect of entrustable professional activities (EPAs) in competency evaluation of dermatology residents, to practice the goal of hierarchical progressive training for EPAs competency in dermatology residents, and to improve the competency of physicians.Methods:A questionnaire survey was conducted among 8 clinical instructors and 165 residents who received standardized residency training in Department of Dermatology, The First Affiliated Hospital of Jinzhou Medical University, from September 2019 to September 2022, and self-assessment and trainer-assessment were performed based on EPAs. The Kruskal-Wallis H test and the Mann-Whitney U test were used for comparison of entrustable level between the dermatology residents of different grades. Results:The scores of both trainer-assessment and self-assessment based on EPAs increased with the increase in the grade of the resident physicians, and the resident physicians of the third year (the PGY3 group) had the highest levels of trainer-assessment and self-assessment based on EPAs. The resident physicians of all grades showed relatively low assessment scores of EPA4 (making a medical decision), EPA8 (recognize a patient requiring urgent or emergent care and initiate evaluation and management), EPA14 (clinical teaching), and EPA15 (public health events management). There were significant differences in all EPAs items of trainer-assessment and self-assessment between the residents of different grades (Kruskal-Wallis test, P<0.05). There was a significant difference in trainer-assessment between PGY1 and PGY2 and between PGY1 and PGY3 (Bonferroni P correction, P<0.05), while there was no significant difference between the PGY2 and PGY3 groups ( P>0.05). Conclusions:There are differences in the evaluation of EPAs in dermatology residents of different grades, and hierarchical progressive training of EPAs competency can effectively improve the clinical competency of dermatology residents. Given the inconsistency between the scores of self-assessment and trainer-assessment, it is necessary to improve the feedback plan in the future.