The purpose of this study was to explore the application of TCM-appropriate technology in neurogenic bladder rehabilitation nursing.Firstly,the background and contents of the study were introduced.Then,it summarizes t...The purpose of this study was to explore the application of TCM-appropriate technology in neurogenic bladder rehabilitation nursing.Firstly,the background and contents of the study were introduced.Then,it summarizes the definition and development of TCM-appropriate technology and expounds the main therapy and application of TCM-appropriate technology in the rehabilitation nursing field.Besides,the pathophysiological characteristics,rehabilitation nursing measures,and rehabilitation difficulties of the neurogenic bladder are described.Then,the application method,effect and prospect of TCM-suitable technology in rehabilitation nursing of neurogenic bladder are described.In addition,the object,method,result analysis,and conclusion of the experimental study are introduced,the main results of this study are summarized,and the future research direction is prospected.In summary,this study aims to provide effective TCM-appropriate technology for neurogenic bladder rehabilitation nursing and provide a reference for clinical practice and theoretical research in related fields.展开更多
Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset conta...Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People’s Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.1551.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors’prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).展开更多
Objective:To examine insomnia in the modern young and middle-aged population and explore nursing intervention strategies using traditional Chinese and Western medicine.Methods:A total of 255 inpatients and outpatients...Objective:To examine insomnia in the modern young and middle-aged population and explore nursing intervention strategies using traditional Chinese and Western medicine.Methods:A total of 255 inpatients and outpatients were sampled from Shenzhen Hospital of Traditional Chinese Medicine.The Sleep Questionnaire for Young and Middle-aged People was used to assess insomnia,and a linear regression model was applied for data analysis.Results:A total of 251 valid questionnaires were collected.Correlation analysis revealed a high incidence of insomnia among respondents.Linear correlation analysis indicated that mental illness or other underlying diseases leading to pain had a significantly positive effect on symptom improvement through Chinese and Western medicine treatments(B=0.763,P<0.01).Conversely,work or life pressures(emotional or financial issues)had a significantly negative impact on treatment effectiveness(B=-0.503,P<0.01).Cross-analysis identified high life or work pressure as the primary cause of insomnia(70.1%).Conclusion:Insomnia is prevalent among the young and middle-aged in modern times,with high work or life pressure being the leading factor.展开更多
Rectus abdominis diastasis is a common condition in postpartum women,causing back pain,and in severe cases,it can result in abdominal wall hernias and downward migration of abdominal organs.At present,there is no clea...Rectus abdominis diastasis is a common condition in postpartum women,causing back pain,and in severe cases,it can result in abdominal wall hernias and downward migration of abdominal organs.At present,there is no clearly established optimal non-surgical treatment for rectus abdominis diastasis,but traditional Chinese medicine(TCM)nursing techniques have proven to be an effective intervention for postpartum rectus abdominis separation.This paper comprehensively analyzes the TCM nursing technology as an intervention for postpartum rectus abdominis separation,discusses the shortcomings and prospects of TCM nursing technology,and provides references for further exploring and optimizing the intervention program for postpartum rectus abdominis separation.展开更多
Mixed hemorrhoids,especially ring-shaped mixed hemorrhoid,is still a headache for anorectal surgeons due to its post-operative complications.In recent years,clinicians have been studying and exploring to avoid and all...Mixed hemorrhoids,especially ring-shaped mixed hemorrhoid,is still a headache for anorectal surgeons due to its post-operative complications.In recent years,clinicians have been studying and exploring to avoid and alleviate these complications.In the Chinese medicine industry,the application of traditional Chinese medicine nursing technology has good and unique effect in prevent local pain,perianal edema,promote wound healing,relieve urinary retention,improve constipation,relieve anxiety,and so on.This article summarized the evidences of investigated the role of traditional Chinese medicine nursing technique in preventing and treating mixed hemorrhoid so that practitioners can make decision based on the best available evidences.展开更多
The surface plasmon resonance(SPR)biosensor technology is a novel optical analysis method for studying intermolecular interactions.Owing to in-depth research on traditional Chinese medicine(TCM)in recent years,compreh...The surface plasmon resonance(SPR)biosensor technology is a novel optical analysis method for studying intermolecular interactions.Owing to in-depth research on traditional Chinese medicine(TCM)in recent years,comprehensive and specific identification of components and target interactions has become key yet difficult tasks.SPR has gradually been used to analyze the active components of TCM owing to its high sensitivity,strong exclusivity,large flux,and real-time monitoring capabilities.This review sought to briefly introduce the active components of TCM and the principle of SPR,and provide historical and new insights into the application of SPR in the analysis of the active components of TCM.展开更多
Objective To cater to the demands for personalized health services from a deep learning per-spective by investigating the characteristics of traditional Chinese medicine(TCM)constitu-tion data and constructing models ...Objective To cater to the demands for personalized health services from a deep learning per-spective by investigating the characteristics of traditional Chinese medicine(TCM)constitu-tion data and constructing models to explore new prediction methods.Methods Data from students at Chengdu University of Traditional Chinese Medicine were collected and organized according to the 24 solar terms from January 21,2020,to April 6,2022.The data were used to identify nine TCM constitutions,including balanced constitution,Qi deficiency constitution,Yang deficiency constitution,Yin deficiency constitution,phlegm dampness constitution,damp heat constitution,stagnant blood constitution,Qi stagnation constitution,and specific-inherited predisposition constitution.Deep learning algorithms were employed to construct multi-layer perceptron(MLP),long short-term memory(LSTM),and deep belief network(DBN)models for the prediction of TCM constitutions based on the nine constitution types.To optimize these TCM constitution prediction models,this study in-troduced the attention mechanism(AM),grey wolf optimizer(GWO),and particle swarm op-timization(PSO).The models’performance was evaluated before and after optimization us-ing the F1-score,accuracy,precision,and recall.Results The research analyzed a total of 31655 pieces of data.(i)Before optimization,the MLP model achieved more than 90%prediction accuracy for all constitution types except the balanced and Qi deficiency constitutions.The LSTM model's prediction accuracies exceeded 60%,indicating that their potential in TCM constitutional prediction may not have been fully realized due to the absence of pronounced temporal features in the data.Regarding the DBN model,the binary classification analysis showed that,apart from slightly underperforming in predicting the Qi deficiency constitution and damp heat constitution,with accuracies of 65%and 60%,respectively.The DBN model demonstrated considerable discriminative power for other constitution types,achieving prediction accuracy rates and area under the receiver op-erating characteristic(ROC)curve(AUC)values exceeding 70%and 0.78,respectively.This indicates that while the model possesses a certain level of constitutional differentiation abili-ty,it encounters limitations in processing specific constitutional features,leaving room for further improvement in its performance.For multi-class classification problem,the DBN model’s prediction accuracy rate fell short of 50%.(ii)After optimization,the LSTM model,enhanced with the AM,typically achieved a prediction accuracy rate above 75%,with lower performance for the Qi deficiency constitution,stagnant blood constitution,and Qi stagna-tion constitution.The GWO-optimized DBN model for multi-class classification showed an increased prediction accuracy rate of 56%,while the PSO-optimized model had a decreased accuracy rate to 37%.The GWO-PSO-DBN model,optimized with both algorithms,demon-strated an improved prediction accuracy rate of 54%.Conclusion This study constructed MLP,LSTM,and DBN models for predicting TCM consti-tution and improved them based on different optimisation algorithms.The results showed that the MLP model performs well,the LSTM and DBN models were effective in prediction but with certain limitations.This study also provided a new technology reference for the es-tablishment and optimisation strategies of TCM constitution prediction models,and a novel idea for the treatment of non-disease.展开更多
Objective To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis(OP)leveraging bioinformatics and machine learning methodologies;and to predict the active ingredients of ...Objective To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis(OP)leveraging bioinformatics and machine learning methodologies;and to predict the active ingredients of targeted traditional Chinese medicine(TCM)herbs.Methods The Gene Expression Omnibus(GEO)and GeneCards databases were employed to conduct a comprehensive screening of genes and disease-associated loci pertinent to the pathogenesis of OP.The R package was utilized as the analytical tool for the identification of differentially expressed genes.Least absolute shrinkage and selection operator(LASSO)logis-tic regression analysis and support vector machine-recursive feature elimination(SVM-RFE)algorithm were employed in defining the genetic signature specific to OP.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses for the selected pivotal genes were conducted.The cell-type identification by estimating rela-tive subsets of RNA transcripts(CIBERSORT)algorithm was leveraged to examine the infiltra-tion patterns of immune cells;with Spearman’s rank correlation analysis utilized to assess the relationship between the expression levels of the genes and the presence of immune cells.Coremine Medical Database was used to screen out potential TCM herbs for the treatment of OP.Comparative Toxicogenomics Database(CTD)was employed for forecasting the TCM ac-tive ingredients targeting the key genes.AutoDock Vina 1.2.2 and GROMACS 2020 softwares were employed to conclude analysis results;facilitating the exploration of binding affinity and conformational dynamics between the TCM active ingredients and their biological targets.Results Ten genes were identified by intersecting the results from the GEO and GeneCards databases.Through the application of LASSO regression and SVM-RFE algorithm;four piv-otal genes were selected:coat protein(CP);kallikrein 3(KLK3);polymeraseγ(POLG);and transient receptor potential vanilloid 4(TRPV4).GO and KEGG pathway enrichment analy-ses revealed that these trait genes were predominantly engaged in the regulation of defense response activation;maintenance of cellular metal ion balance;and the production of chemokine ligand 5.These genes were notably associated with signaling pathways such as ferroptosis;porphyrin metabolism;and base excision repair.Immune infiltration analysis showed that key genes were highly correlated with immune cells.Macrophage M0;M1;M2;and resting dendritic cell were significantly different between groups;and there were signifi-cant differences between different groups(P<0.05).The interaction counts of resveratrol;curcumin;and quercetin with KLK3 were 7;3;and 2;respectively.It shows that the interac-tions of resveratrol;curcumin;and quercetin with KLK3 were substantial.Molecular docking and molecular dynamics simulations further confirmed the robust binding affinity of these bioactive compounds to the target genes.Conclusion Pivotal genes including CP;KLK3;POLG;and TRPV4;exhibited commendable significant prognostic value;and played a crucial role in the diagnostic assessment of OP.Resveratrol;curcumin;and quercetin;natural compounds found in TCM;showed promise in their potential to effectively modulate the bone-forming gene KLK3.This study provides a sci-entific basis for the interpretation of the pathogenesis of OP and the development of clinical drugs.展开更多
Objective To propose a Light-Atten-Pose-based algorithm for classifying abnormal morphology in traditional Chinese medicine(TCM)inspection to solve the problem of relying on manual labor or expensive equipment with pe...Objective To propose a Light-Atten-Pose-based algorithm for classifying abnormal morphology in traditional Chinese medicine(TCM)inspection to solve the problem of relying on manual labor or expensive equipment with personal subjectivity or high cost.Methods First,this paper establishes a dataset of abnormal morphology for Chinese medicine diagnosis,with images from public resources and labeled with category labels by several Chinese medicine experts,including three categories:normal,shoulder abnormality,and leg abnormality.Second,the key points of human body are extracted by Light-Atten-Pose algo-rithm.Light-Atten-Pose algorithm uses lightweight EfficientNet network and polarized self-attention(PSA)mechanism on the basis of AlphaPose,which reduces the computation amount by using EfficientNet network,and the data is finely processed by using PSA mecha-nism in spatial and channel dimensions.Finally,according to the theory of TCM inspection,the abnormal morphology standard based on the joint angle difference is defined,and the classification of abnormal morphology of Chinese medical diagnosis is realized by calculat-ing the angle between key points.Accuracy,frames per second(FPS),model size,parameter set(Params),and giga floating-point operations per second(GFLOPs)are chosen as the eval-uation indexes for lightweighting.Results Validation of the Light-Atten-Pose algorithm on the dataset showed a classification accuracy of 96.23%,which is close to the original AlphaPose model.However,the FPS of the improved model reaches 41.6 fps from 16.5 fps,the model size is reduced from 155.11 MB to 33.67 MB,the Params decreases from 40.5 M to 8.6 M,and the GFLOPs reduces from 11.93 to 2.10.Conclusion The Light-Atten-Pose algorithm achieves lightweight while maintaining high ro-bustness,resulting in lower complexity and resource consumption and higher classification accuracy,and the experiments prove that the Light-Atten-Pose algorithm has a better overall performance and has practical application in the pose estimation task.展开更多
Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical...Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.展开更多
Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve ...Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.展开更多
Objective Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure(HBV-ACLF)generally have small sample sizes and a class imbalance.However,most machine learning models are desig...Objective Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure(HBV-ACLF)generally have small sample sizes and a class imbalance.However,most machine learning models are designed based on balanced data and lack interpretability.This study aimed to propose a traditional Chinese medicine(TCM)diagnostic model for HBV-ACLF based on the TCM syndrome differentiation and treatment theory,which is clinically interpretable and highly accurate.Methods We collected medical records from 261 patients diagnosed with HBV-ACLF,including three syndromes:Yang jaundice(214 cases),Yang-Yin jaundice(41 cases),and Yin jaundice(6 cases).To avoid overfitting of the machine learning model,we excluded the cases of Yin jaundice.After data standardization and cleaning,we obtained 255 relevant medical records of Yang jaundice and Yang-Yin jaundice.To address the class imbalance issue,we employed the oversampling method and five machine learning methods,including logistic regression(LR),support vector machine(SVM),decision tree(DT),random forest(RF),and extreme gradient boosting(XGBoost)to construct the syndrome diagnosis models.This study used precision,F1 score,the area under the receiver operating characteristic(ROC)curve(AUC),and accuracy as model evaluation metrics.The model with the best classification performance was selected to extract the diagnostic rule,and its clinical significance was thoroughly analyzed.Furthermore,we proposed a novel multiple-round stable rule extraction(MRSRE)method to obtain a stable rule set of features that can exhibit the model’s clinical interpretability.Results The precision of the five machine learning models built using oversampled balanced data exceeded 0.90.Among these models,the accuracy of RF classification of syndrome types was 0.92,and the mean F1 scores of the two categories of Yang jaundice and Yang-Yin jaundice were 0.93 and 0.94,respectively.Additionally,the AUC was 0.98.The extraction rules of the RF syndrome differentiation model based on the MRSRE method revealed that the common features of Yang jaundice and Yang-Yin jaundice were wiry pulse,yellowing of the urine,skin,and eyes,normal tongue body,healthy sublingual vessel,nausea,oil loathing,and poor appetite.The main features of Yang jaundice were a red tongue body and thickened sublingual vessels,whereas those of Yang-Yin jaundice were a dark tongue body,pale white tongue body,white tongue coating,lack of strength,slippery pulse,light red tongue body,slimy tongue coating,and abdominal distension.This is aligned with the classifications made by TCM experts based on TCM syndrome differentiation and treatment theory.Conclusion Our model can be utilized for differentiating HBV-ACLF syndromes,which has the potential to be applied to generate other clinically interpretable models with high accuracy on clinical data characterized by small sample sizes and a class imbalance.展开更多
Acute mastitis is one of the common diseases of postpartum lactating women,also known as lactational mastitis,which can occur during breastfeeding,especially in the postpartum 3–4 weeks.Acute mastitis can lead to the...Acute mastitis is one of the common diseases of postpartum lactating women,also known as lactational mastitis,which can occur during breastfeeding,especially in the postpartum 3–4 weeks.Acute mastitis can lead to the cessation of breastfeeding.Improving breastfeeding behavior and extending breastfeeding duration have become a global strategy to promote maternal and child health.Manual lactation traditional Chinese medicine technology is one of the important measures to improve the rate of breastfeeding,which can solve the problems of breast swelling,pain,and reduction of milk production.This article introduces the definition,indications,standard operating procedures,precautions,and treatment of adverse events of manual lactation in traditional Chinese medicine technology,so as to provide more comprehensive guidance for clinical workers to carry out manual lactation operations.展开更多
This study summarized traditional Chinese medicine(TCM)master in the capital,HE Sisheng’s experience in acupuncture on single acupoint application.He emphasizes the properties and therapeutic effects of acupuncture p...This study summarized traditional Chinese medicine(TCM)master in the capital,HE Sisheng’s experience in acupuncture on single acupoint application.He emphasizes the properties and therapeutic effects of acupuncture points in clinical practice,adhering to the principles of balancing Yin and Yang and selecting points along meridians.Acupuncture at Neiguan(PC6)acupoint can clear the heart fire and unclog meridians,harmonize the triple energizer,and treat cardiovascular diseases and gastrointestinal disorders.Acupuncture at Renzhong(GV26)acupoint can awaken the mind,open the orifices,and unblock the governor vessel to treat mental diseases,treating mental disorders and acute lumbar sprain.Acupuncture at Cuanzhu(BL2)acupoint can dispel wind and relieve pain,soothe the spleen and stomach and regulate Qi for headache,eye diseases and hiccup.Acupuncture at Yifeng(SJ17)can nourish Qi,tonify Yang,dispel wind,and unblock meridians,and is effective for diseases of the head and facial features.Acupuncture at Yongquan(KI1)acupoint can invigorate Qi and reinforcing Yang,disperses the wind,passes through the channels and collaterals for diseases of facial features.Acupuncture at Dadun(LR1)acupoint can clear away dampness and heat,regulate Qi and harmonize liver to treat diseases of urogenital system and vertigo and epilepsy.展开更多
Objective: the study is aimed to introduce the developing history of gynecology and gynecological nursing in traditional Chinese medicine (TCM). Study Design: the development of gynecology and gynecological nursing co...Objective: the study is aimed to introduce the developing history of gynecology and gynecological nursing in traditional Chinese medicine (TCM). Study Design: the development of gynecology and gynecological nursing consists of six periods in Chinese history. They are: 1) budding stage represented by the inscriptions of Nü (female) on oracle bones;2) physiological development stages of women;3) specialized chapters of gynecology in TCM;4) features of gynecological nursing;5) monograph of gynecology and gynecological nursing;6) integration of ancient gynecological nursing perceptions. Results: TCM has a profound understanding of gynecology and gynecological nursing. For period one, the inscriptions of Nü (female) on oracle bones is the symbol of the budding stage. For period two, physiogenesis stages of women are recorded in The Yellow Emperor of Classics of Inner Medicine. For period three, the specialized chapters of gynecology appeared, represented by Golden Chamber, Woman. For period four, the features of gynecological nursing were elaborated in Essential Prescriptions Worth A Thousand Gold including menstruation, depression, yin-dampness, and menopause. For period five, monographs of gynecology and gynecological nursing represented by Good Comprehensive Woman Formulae appeared. For period six, Integrative studies of gynecological nursing perceptions were carried out with the representation by Integrated Ancient and Modern Books. Conclusion: TCM gynecology and gynecological nursing harbors a long history of treating and nursing gynecological disorders. With therapeutic and nursing modalities, they are effective systems of un-derstanding and managing woman health as proven by medical literatures, clinical benefits and basic research studies.展开更多
Objective: To explore the methodology of the evidence-based expert consensus formulation process of traditional Chinese medicine(TCM) nursing taking stroke as an example.Methods: First, preliminary and comprehensive p...Objective: To explore the methodology of the evidence-based expert consensus formulation process of traditional Chinese medicine(TCM) nursing taking stroke as an example.Methods: First, preliminary and comprehensive presentation of all stroke-related symptoms and corresponding TCM nursing techniques involved were revealed through bibliometric analysis. Then, selection of stroke symptoms and TCM nursing techniques for inclusion in the consensus was performed using an expert consultation method. Next, we determined the search strategy for a precise evidence search;conducted an evaluation of evidence quality and the grade of the evidence;and completed evidence extraction, evidence analysis, and evidence synthesis based on the included symptoms and TCM nursing techniques. The Delphi method was then applied to determine the strength of each recommendation and the choice of nursing care points by referring to the Grading of Recommendations, Assessment, Development, and Evaluations grid. Finally, we conducted an external expert validation of the Delphi results to form an expert consensus guideline.Results: Through the bibliometric analysis, 22 stroke symptoms and 18 TCM nursing techniques were identified in the literature. Then, after expert consultation, 22 symptoms and 111 pairs of symptoms combined with TCM nursing techniques were selected for the evidence search. Evidence integration yielded 10 stroke symptoms corresponding to 29 bodies of evidence;these 10 symptoms were retained through the Delphi consultation, and recommendation strength results for 26 recommendations were obtained. A total of 9 symptoms were further retained for expert external validation to form 24 recommendations, with a recommendation process score range of 7.64-9.99 points and a more scientific and standardized recommendation-formation process.Conclusion: Owing to the current limited conditions of evidence-based resources for TCM nursing, the present consensus-building process represents only a preliminary exploration of an evidence-based expert consensus for TCM nursing to provide a reference for a more scientific and standardized methodology.展开更多
Objective:The objective of this study is to explore the current situation,clinical research hot spots,and trends of traditional Chinese medicine(TCM)nursing technology in rheumatoid arthritis(RA),to draw a panorama of...Objective:The objective of this study is to explore the current situation,clinical research hot spots,and trends of traditional Chinese medicine(TCM)nursing technology in rheumatoid arthritis(RA),to draw a panorama of clinical research,to provide the basis and clues for subsequent high-level evidence integration and further in-depth research.Materials and Methods:Seven databases including China National Knowledge Infrastructure,Chinese Scientific Journal Database(VIP),Wanfang Database,Chinese Biomedical Literature Database(Sino-Med),PubMed,Embase,and the Cochrane Library were searched.The bibliometric method and visualization software CiteSpace were used to conduct a multi-dimensional analysis of the included literature.Results:A total of 805 pieces of literature were included(of them,one was written in German and four in English),and the number of published literature showed an increasing trend year by year.There were only 30(3.73%)pieces of literature published in nursing journals.The hot spots of the co-occurrence map were concentrated in:(1)the nursing of fumigation in RA;(2)the efficacy evaluation of TCM nursing technology on pain,joint malformation,and joint dysfunction caused by RA.The included literature themes focused on five TCM technologies:fumigation,moxibustion,acupoint patching,acupoint injection,and Chinese herbal soaking.The beginning year and strength in TCM fumigation were 2012 and 5.2,and those in moxibustion were 2011 and 3.38.Conclusion:The related studies are on the rise.It has entered the field of international readers with clear research hot spots.However,there are still shortcomings such as little literature published in Chinese nursing core journals,few non-Chinese-related documents,and a lack of international exchanges and cooperation.The current research hot spots in this field are TCM fumigation,and the cutting-edge trend of future research may be fumigation and moxibustion technology.It is suggested that further research can focus on evidence integration and original research on the self-optimization of these two techniques.展开更多
Master-apprentice system is a main mode of talent cultivation for Traditional Chinese medicine(TCM). To vigorously push forward inheritance and innovation of TCM nursing, Beijing Administration of Traditional Chinese ...Master-apprentice system is a main mode of talent cultivation for Traditional Chinese medicine(TCM). To vigorously push forward inheritance and innovation of TCM nursing, Beijing Administration of Traditional Chinese Medicine carried out TCM nursing inheritance work in 2016, establishing 3 studios and 1 workstation. In this paper, we summarized constructional methods and achievements in TCM nursing inheritance studios and workstation, raised issues during working, and thought about how to work in the next stage, in hoping to lay a good foundation for carrying out in-depth work about TCM nursing inheritance.展开更多
Objective:To analyze the implementation status of traditional Chinese medicine(TCM)nursing protocols for type 2 diabetes mellitus.Methods:Totally 420 hospitalized patients with type 2 diabetes mellitus were given TCM ...Objective:To analyze the implementation status of traditional Chinese medicine(TCM)nursing protocols for type 2 diabetes mellitus.Methods:Totally 420 hospitalized patients with type 2 diabetes mellitus were given TCM nursing protocols by syndrome differentiation.A quantitative and qualitative investigation was conducted to patients who received TCM nursing and nurses who performed TCM nursing techniques.Results:According to the self-evaluation outcomes of patients,TCM nursing protocols were effective to relieve polydipsia,polyuria,fatigue and other symptoms.Patients exhibited a high level of compliance with nursing techniques such as auricular point pressing,acupoint massage,Chinese herbal foot-bath and moxibustion.The interview showed that patients could benefit from the TCM nursing protocols,and nurses considered that application of TCM nursing protocols could enhance their awareness of TCM knowledge and practice skills.Conclusion:The application of TCM nursing protocols is effective to relieve clinical symptoms of type 2 diabetes mellitus.It can also improve the knowledge level and practice skills of nurses in TCM hospitals.展开更多
Objective: This meta-analysis aims to evaluate the effects of traditional Chinese medicine(TCM) nursing combined with conventional nursing in patients with chronic obstructive pulmonary disease(COPD).Methods: Data wer...Objective: This meta-analysis aims to evaluate the effects of traditional Chinese medicine(TCM) nursing combined with conventional nursing in patients with chronic obstructive pulmonary disease(COPD).Methods: Data were collected from the databases of PubMed, Embase, the Cochrane Library, Web of Science, Google Scholar,China National Knowledge Infrastructure(CNKI), WanFang Data(WF) and VIP Database, including literature regarding the effects of TCM nursing combined with conventional nursing in patients with COPD published before January 2017. The Jadad scale was used to assess the quality of the eligible literature. The weighted mean differences and odds ratios were used to analyze St. George's Respiratory Questionnaire(SGRQ) scores, pulmonary function, hospital stay, and clinical efficacy.Results: Twenty-three randomized controlled trials comprising 3116 cases(TCM nursing combined with the conventional nursing group: 1559; conventional nursing group: 1557) met the inclusion criteria. TCM nursing combined with conventional nursing was associated with a lower SGRQ score, higher forced expiratory volume in 1 second(FEV1) value, higher FEV1/forced vital capacity(FVC) value, higher FEV1% value, higher FEV1 predicted value, shorter hospital stay, and preferable clinical efficacy.Conclusions: TCM nursing combined with conventional nursing emphasized that dialectical nursing can be performed preferably in patients with COPD.展开更多
文摘The purpose of this study was to explore the application of TCM-appropriate technology in neurogenic bladder rehabilitation nursing.Firstly,the background and contents of the study were introduced.Then,it summarizes the definition and development of TCM-appropriate technology and expounds the main therapy and application of TCM-appropriate technology in the rehabilitation nursing field.Besides,the pathophysiological characteristics,rehabilitation nursing measures,and rehabilitation difficulties of the neurogenic bladder are described.Then,the application method,effect and prospect of TCM-suitable technology in rehabilitation nursing of neurogenic bladder are described.In addition,the object,method,result analysis,and conclusion of the experimental study are introduced,the main results of this study are summarized,and the future research direction is prospected.In summary,this study aims to provide effective TCM-appropriate technology for neurogenic bladder rehabilitation nursing and provide a reference for clinical practice and theoretical research in related fields.
基金National Key Research and Development Program(2023YFC3502604)National Natural Science Foundation of China(U23B2062 and 82374302).
文摘Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People’s Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.1551.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors’prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).
基金2024 China Mainland-Hong Kong-Macao University Teachers and Students Exchange Program(Project No.202311060001)。
文摘Objective:To examine insomnia in the modern young and middle-aged population and explore nursing intervention strategies using traditional Chinese and Western medicine.Methods:A total of 255 inpatients and outpatients were sampled from Shenzhen Hospital of Traditional Chinese Medicine.The Sleep Questionnaire for Young and Middle-aged People was used to assess insomnia,and a linear regression model was applied for data analysis.Results:A total of 251 valid questionnaires were collected.Correlation analysis revealed a high incidence of insomnia among respondents.Linear correlation analysis indicated that mental illness or other underlying diseases leading to pain had a significantly positive effect on symptom improvement through Chinese and Western medicine treatments(B=0.763,P<0.01).Conversely,work or life pressures(emotional or financial issues)had a significantly negative impact on treatment effectiveness(B=-0.503,P<0.01).Cross-analysis identified high life or work pressure as the primary cause of insomnia(70.1%).Conclusion:Insomnia is prevalent among the young and middle-aged in modern times,with high work or life pressure being the leading factor.
文摘Rectus abdominis diastasis is a common condition in postpartum women,causing back pain,and in severe cases,it can result in abdominal wall hernias and downward migration of abdominal organs.At present,there is no clearly established optimal non-surgical treatment for rectus abdominis diastasis,but traditional Chinese medicine(TCM)nursing techniques have proven to be an effective intervention for postpartum rectus abdominis separation.This paper comprehensively analyzes the TCM nursing technology as an intervention for postpartum rectus abdominis separation,discusses the shortcomings and prospects of TCM nursing technology,and provides references for further exploring and optimizing the intervention program for postpartum rectus abdominis separation.
文摘Mixed hemorrhoids,especially ring-shaped mixed hemorrhoid,is still a headache for anorectal surgeons due to its post-operative complications.In recent years,clinicians have been studying and exploring to avoid and alleviate these complications.In the Chinese medicine industry,the application of traditional Chinese medicine nursing technology has good and unique effect in prevent local pain,perianal edema,promote wound healing,relieve urinary retention,improve constipation,relieve anxiety,and so on.This article summarized the evidences of investigated the role of traditional Chinese medicine nursing technique in preventing and treating mixed hemorrhoid so that practitioners can make decision based on the best available evidences.
基金This work was supported by grants from the National Natural Science Foundation of China(Grant No.:82072142)the National Key R&D Program of China(Grant No.:2020YFC2005502)the Science and Technology Commission of Shanghai Municipality(Grant No.:19401900500).
文摘The surface plasmon resonance(SPR)biosensor technology is a novel optical analysis method for studying intermolecular interactions.Owing to in-depth research on traditional Chinese medicine(TCM)in recent years,comprehensive and specific identification of components and target interactions has become key yet difficult tasks.SPR has gradually been used to analyze the active components of TCM owing to its high sensitivity,strong exclusivity,large flux,and real-time monitoring capabilities.This review sought to briefly introduce the active components of TCM and the principle of SPR,and provide historical and new insights into the application of SPR in the analysis of the active components of TCM.
基金National Natural Science Foundation of China(81904324)Sichuan Science and Technology Department Project(2022YFS0194).
文摘Objective To cater to the demands for personalized health services from a deep learning per-spective by investigating the characteristics of traditional Chinese medicine(TCM)constitu-tion data and constructing models to explore new prediction methods.Methods Data from students at Chengdu University of Traditional Chinese Medicine were collected and organized according to the 24 solar terms from January 21,2020,to April 6,2022.The data were used to identify nine TCM constitutions,including balanced constitution,Qi deficiency constitution,Yang deficiency constitution,Yin deficiency constitution,phlegm dampness constitution,damp heat constitution,stagnant blood constitution,Qi stagnation constitution,and specific-inherited predisposition constitution.Deep learning algorithms were employed to construct multi-layer perceptron(MLP),long short-term memory(LSTM),and deep belief network(DBN)models for the prediction of TCM constitutions based on the nine constitution types.To optimize these TCM constitution prediction models,this study in-troduced the attention mechanism(AM),grey wolf optimizer(GWO),and particle swarm op-timization(PSO).The models’performance was evaluated before and after optimization us-ing the F1-score,accuracy,precision,and recall.Results The research analyzed a total of 31655 pieces of data.(i)Before optimization,the MLP model achieved more than 90%prediction accuracy for all constitution types except the balanced and Qi deficiency constitutions.The LSTM model's prediction accuracies exceeded 60%,indicating that their potential in TCM constitutional prediction may not have been fully realized due to the absence of pronounced temporal features in the data.Regarding the DBN model,the binary classification analysis showed that,apart from slightly underperforming in predicting the Qi deficiency constitution and damp heat constitution,with accuracies of 65%and 60%,respectively.The DBN model demonstrated considerable discriminative power for other constitution types,achieving prediction accuracy rates and area under the receiver op-erating characteristic(ROC)curve(AUC)values exceeding 70%and 0.78,respectively.This indicates that while the model possesses a certain level of constitutional differentiation abili-ty,it encounters limitations in processing specific constitutional features,leaving room for further improvement in its performance.For multi-class classification problem,the DBN model’s prediction accuracy rate fell short of 50%.(ii)After optimization,the LSTM model,enhanced with the AM,typically achieved a prediction accuracy rate above 75%,with lower performance for the Qi deficiency constitution,stagnant blood constitution,and Qi stagna-tion constitution.The GWO-optimized DBN model for multi-class classification showed an increased prediction accuracy rate of 56%,while the PSO-optimized model had a decreased accuracy rate to 37%.The GWO-PSO-DBN model,optimized with both algorithms,demon-strated an improved prediction accuracy rate of 54%.Conclusion This study constructed MLP,LSTM,and DBN models for predicting TCM consti-tution and improved them based on different optimisation algorithms.The results showed that the MLP model performs well,the LSTM and DBN models were effective in prediction but with certain limitations.This study also provided a new technology reference for the es-tablishment and optimisation strategies of TCM constitution prediction models,and a novel idea for the treatment of non-disease.
基金National Natural Science Foundation of China(81960877).
文摘Objective To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis(OP)leveraging bioinformatics and machine learning methodologies;and to predict the active ingredients of targeted traditional Chinese medicine(TCM)herbs.Methods The Gene Expression Omnibus(GEO)and GeneCards databases were employed to conduct a comprehensive screening of genes and disease-associated loci pertinent to the pathogenesis of OP.The R package was utilized as the analytical tool for the identification of differentially expressed genes.Least absolute shrinkage and selection operator(LASSO)logis-tic regression analysis and support vector machine-recursive feature elimination(SVM-RFE)algorithm were employed in defining the genetic signature specific to OP.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses for the selected pivotal genes were conducted.The cell-type identification by estimating rela-tive subsets of RNA transcripts(CIBERSORT)algorithm was leveraged to examine the infiltra-tion patterns of immune cells;with Spearman’s rank correlation analysis utilized to assess the relationship between the expression levels of the genes and the presence of immune cells.Coremine Medical Database was used to screen out potential TCM herbs for the treatment of OP.Comparative Toxicogenomics Database(CTD)was employed for forecasting the TCM ac-tive ingredients targeting the key genes.AutoDock Vina 1.2.2 and GROMACS 2020 softwares were employed to conclude analysis results;facilitating the exploration of binding affinity and conformational dynamics between the TCM active ingredients and their biological targets.Results Ten genes were identified by intersecting the results from the GEO and GeneCards databases.Through the application of LASSO regression and SVM-RFE algorithm;four piv-otal genes were selected:coat protein(CP);kallikrein 3(KLK3);polymeraseγ(POLG);and transient receptor potential vanilloid 4(TRPV4).GO and KEGG pathway enrichment analy-ses revealed that these trait genes were predominantly engaged in the regulation of defense response activation;maintenance of cellular metal ion balance;and the production of chemokine ligand 5.These genes were notably associated with signaling pathways such as ferroptosis;porphyrin metabolism;and base excision repair.Immune infiltration analysis showed that key genes were highly correlated with immune cells.Macrophage M0;M1;M2;and resting dendritic cell were significantly different between groups;and there were signifi-cant differences between different groups(P<0.05).The interaction counts of resveratrol;curcumin;and quercetin with KLK3 were 7;3;and 2;respectively.It shows that the interac-tions of resveratrol;curcumin;and quercetin with KLK3 were substantial.Molecular docking and molecular dynamics simulations further confirmed the robust binding affinity of these bioactive compounds to the target genes.Conclusion Pivotal genes including CP;KLK3;POLG;and TRPV4;exhibited commendable significant prognostic value;and played a crucial role in the diagnostic assessment of OP.Resveratrol;curcumin;and quercetin;natural compounds found in TCM;showed promise in their potential to effectively modulate the bone-forming gene KLK3.This study provides a sci-entific basis for the interpretation of the pathogenesis of OP and the development of clinical drugs.
基金National Key Research and Development Program of China(2022YFC3502302)。
文摘Objective To propose a Light-Atten-Pose-based algorithm for classifying abnormal morphology in traditional Chinese medicine(TCM)inspection to solve the problem of relying on manual labor or expensive equipment with personal subjectivity or high cost.Methods First,this paper establishes a dataset of abnormal morphology for Chinese medicine diagnosis,with images from public resources and labeled with category labels by several Chinese medicine experts,including three categories:normal,shoulder abnormality,and leg abnormality.Second,the key points of human body are extracted by Light-Atten-Pose algo-rithm.Light-Atten-Pose algorithm uses lightweight EfficientNet network and polarized self-attention(PSA)mechanism on the basis of AlphaPose,which reduces the computation amount by using EfficientNet network,and the data is finely processed by using PSA mecha-nism in spatial and channel dimensions.Finally,according to the theory of TCM inspection,the abnormal morphology standard based on the joint angle difference is defined,and the classification of abnormal morphology of Chinese medical diagnosis is realized by calculat-ing the angle between key points.Accuracy,frames per second(FPS),model size,parameter set(Params),and giga floating-point operations per second(GFLOPs)are chosen as the eval-uation indexes for lightweighting.Results Validation of the Light-Atten-Pose algorithm on the dataset showed a classification accuracy of 96.23%,which is close to the original AlphaPose model.However,the FPS of the improved model reaches 41.6 fps from 16.5 fps,the model size is reduced from 155.11 MB to 33.67 MB,the Params decreases from 40.5 M to 8.6 M,and the GFLOPs reduces from 11.93 to 2.10.Conclusion The Light-Atten-Pose algorithm achieves lightweight while maintaining high ro-bustness,resulting in lower complexity and resource consumption and higher classification accuracy,and the experiments prove that the Light-Atten-Pose algorithm has a better overall performance and has practical application in the pose estimation task.
基金National Key Research and Development Program of China(2022YFC3502302)National Natural Science Foundation of China(82074580)Graduate Research Innovation Program of Jiangsu Province(KYCX23_2078).
文摘Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.
基金National Natural Science Foundation of China(82274265 and 82274588)Hunan University of Traditional Chinese Medicine Research Unveiled Marshal Programs(2022XJJB003).
文摘Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.
基金Key research project of Hunan Provincial Administration of Traditional Chinese Medicine(A2023048)Key Research Foundation of Education Bureau of Hunan Province,China(23A0273).
文摘Objective Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure(HBV-ACLF)generally have small sample sizes and a class imbalance.However,most machine learning models are designed based on balanced data and lack interpretability.This study aimed to propose a traditional Chinese medicine(TCM)diagnostic model for HBV-ACLF based on the TCM syndrome differentiation and treatment theory,which is clinically interpretable and highly accurate.Methods We collected medical records from 261 patients diagnosed with HBV-ACLF,including three syndromes:Yang jaundice(214 cases),Yang-Yin jaundice(41 cases),and Yin jaundice(6 cases).To avoid overfitting of the machine learning model,we excluded the cases of Yin jaundice.After data standardization and cleaning,we obtained 255 relevant medical records of Yang jaundice and Yang-Yin jaundice.To address the class imbalance issue,we employed the oversampling method and five machine learning methods,including logistic regression(LR),support vector machine(SVM),decision tree(DT),random forest(RF),and extreme gradient boosting(XGBoost)to construct the syndrome diagnosis models.This study used precision,F1 score,the area under the receiver operating characteristic(ROC)curve(AUC),and accuracy as model evaluation metrics.The model with the best classification performance was selected to extract the diagnostic rule,and its clinical significance was thoroughly analyzed.Furthermore,we proposed a novel multiple-round stable rule extraction(MRSRE)method to obtain a stable rule set of features that can exhibit the model’s clinical interpretability.Results The precision of the five machine learning models built using oversampled balanced data exceeded 0.90.Among these models,the accuracy of RF classification of syndrome types was 0.92,and the mean F1 scores of the two categories of Yang jaundice and Yang-Yin jaundice were 0.93 and 0.94,respectively.Additionally,the AUC was 0.98.The extraction rules of the RF syndrome differentiation model based on the MRSRE method revealed that the common features of Yang jaundice and Yang-Yin jaundice were wiry pulse,yellowing of the urine,skin,and eyes,normal tongue body,healthy sublingual vessel,nausea,oil loathing,and poor appetite.The main features of Yang jaundice were a red tongue body and thickened sublingual vessels,whereas those of Yang-Yin jaundice were a dark tongue body,pale white tongue body,white tongue coating,lack of strength,slippery pulse,light red tongue body,slimy tongue coating,and abdominal distension.This is aligned with the classifications made by TCM experts based on TCM syndrome differentiation and treatment theory.Conclusion Our model can be utilized for differentiating HBV-ACLF syndromes,which has the potential to be applied to generate other clinically interpretable models with high accuracy on clinical data characterized by small sample sizes and a class imbalance.
基金This work was sponsored by 2022 Capital’s Funds for Health Improvement and Research(CFH)(2022-2-4202).
文摘Acute mastitis is one of the common diseases of postpartum lactating women,also known as lactational mastitis,which can occur during breastfeeding,especially in the postpartum 3–4 weeks.Acute mastitis can lead to the cessation of breastfeeding.Improving breastfeeding behavior and extending breastfeeding duration have become a global strategy to promote maternal and child health.Manual lactation traditional Chinese medicine technology is one of the important measures to improve the rate of breastfeeding,which can solve the problems of breast swelling,pain,and reduction of milk production.This article introduces the definition,indications,standard operating procedures,precautions,and treatment of adverse events of manual lactation in traditional Chinese medicine technology,so as to provide more comprehensive guidance for clinical workers to carry out manual lactation operations.
基金supported by“New 3+3 Project”Demonstration Research on Inheritance of“HE’s Tube Acupuncture”Technique“Seven Skills and Five Methods”Project of Beijing Administration of Traditional Chinese Medicine(No.2023-ZYSF-09).
文摘This study summarized traditional Chinese medicine(TCM)master in the capital,HE Sisheng’s experience in acupuncture on single acupoint application.He emphasizes the properties and therapeutic effects of acupuncture points in clinical practice,adhering to the principles of balancing Yin and Yang and selecting points along meridians.Acupuncture at Neiguan(PC6)acupoint can clear the heart fire and unclog meridians,harmonize the triple energizer,and treat cardiovascular diseases and gastrointestinal disorders.Acupuncture at Renzhong(GV26)acupoint can awaken the mind,open the orifices,and unblock the governor vessel to treat mental diseases,treating mental disorders and acute lumbar sprain.Acupuncture at Cuanzhu(BL2)acupoint can dispel wind and relieve pain,soothe the spleen and stomach and regulate Qi for headache,eye diseases and hiccup.Acupuncture at Yifeng(SJ17)can nourish Qi,tonify Yang,dispel wind,and unblock meridians,and is effective for diseases of the head and facial features.Acupuncture at Yongquan(KI1)acupoint can invigorate Qi and reinforcing Yang,disperses the wind,passes through the channels and collaterals for diseases of facial features.Acupuncture at Dadun(LR1)acupoint can clear away dampness and heat,regulate Qi and harmonize liver to treat diseases of urogenital system and vertigo and epilepsy.
文摘Objective: the study is aimed to introduce the developing history of gynecology and gynecological nursing in traditional Chinese medicine (TCM). Study Design: the development of gynecology and gynecological nursing consists of six periods in Chinese history. They are: 1) budding stage represented by the inscriptions of Nü (female) on oracle bones;2) physiological development stages of women;3) specialized chapters of gynecology in TCM;4) features of gynecological nursing;5) monograph of gynecology and gynecological nursing;6) integration of ancient gynecological nursing perceptions. Results: TCM has a profound understanding of gynecology and gynecological nursing. For period one, the inscriptions of Nü (female) on oracle bones is the symbol of the budding stage. For period two, physiogenesis stages of women are recorded in The Yellow Emperor of Classics of Inner Medicine. For period three, the specialized chapters of gynecology appeared, represented by Golden Chamber, Woman. For period four, the features of gynecological nursing were elaborated in Essential Prescriptions Worth A Thousand Gold including menstruation, depression, yin-dampness, and menopause. For period five, monographs of gynecology and gynecological nursing represented by Good Comprehensive Woman Formulae appeared. For period six, Integrative studies of gynecological nursing perceptions were carried out with the representation by Integrated Ancient and Modern Books. Conclusion: TCM gynecology and gynecological nursing harbors a long history of treating and nursing gynecological disorders. With therapeutic and nursing modalities, they are effective systems of un-derstanding and managing woman health as proven by medical literatures, clinical benefits and basic research studies.
基金supported by the Best Practice Spotlight Organization (Ottawa, Canada)Key Research Project of the Beijing University of Chinese Medicine (2020-JYB-ZDGG-075Beijing, China)
文摘Objective: To explore the methodology of the evidence-based expert consensus formulation process of traditional Chinese medicine(TCM) nursing taking stroke as an example.Methods: First, preliminary and comprehensive presentation of all stroke-related symptoms and corresponding TCM nursing techniques involved were revealed through bibliometric analysis. Then, selection of stroke symptoms and TCM nursing techniques for inclusion in the consensus was performed using an expert consultation method. Next, we determined the search strategy for a precise evidence search;conducted an evaluation of evidence quality and the grade of the evidence;and completed evidence extraction, evidence analysis, and evidence synthesis based on the included symptoms and TCM nursing techniques. The Delphi method was then applied to determine the strength of each recommendation and the choice of nursing care points by referring to the Grading of Recommendations, Assessment, Development, and Evaluations grid. Finally, we conducted an external expert validation of the Delphi results to form an expert consensus guideline.Results: Through the bibliometric analysis, 22 stroke symptoms and 18 TCM nursing techniques were identified in the literature. Then, after expert consultation, 22 symptoms and 111 pairs of symptoms combined with TCM nursing techniques were selected for the evidence search. Evidence integration yielded 10 stroke symptoms corresponding to 29 bodies of evidence;these 10 symptoms were retained through the Delphi consultation, and recommendation strength results for 26 recommendations were obtained. A total of 9 symptoms were further retained for expert external validation to form 24 recommendations, with a recommendation process score range of 7.64-9.99 points and a more scientific and standardized recommendation-formation process.Conclusion: Owing to the current limited conditions of evidence-based resources for TCM nursing, the present consensus-building process represents only a preliminary exploration of an evidence-based expert consensus for TCM nursing to provide a reference for a more scientific and standardized methodology.
基金supported by the Research Project on Medical Education launched by the Medical Education Branch of the Chinese Medical Association and the Medical Education Professional Committee of the Chinese Society of Higher Education in 2018(2018B-N18075)the Education Science Research Project of Beijing University of Chinese Medicine(XJYB2029)the Fundamental Research Funds for the Central Universities(2020-JYB-ZDGG-082).
文摘Objective:The objective of this study is to explore the current situation,clinical research hot spots,and trends of traditional Chinese medicine(TCM)nursing technology in rheumatoid arthritis(RA),to draw a panorama of clinical research,to provide the basis and clues for subsequent high-level evidence integration and further in-depth research.Materials and Methods:Seven databases including China National Knowledge Infrastructure,Chinese Scientific Journal Database(VIP),Wanfang Database,Chinese Biomedical Literature Database(Sino-Med),PubMed,Embase,and the Cochrane Library were searched.The bibliometric method and visualization software CiteSpace were used to conduct a multi-dimensional analysis of the included literature.Results:A total of 805 pieces of literature were included(of them,one was written in German and four in English),and the number of published literature showed an increasing trend year by year.There were only 30(3.73%)pieces of literature published in nursing journals.The hot spots of the co-occurrence map were concentrated in:(1)the nursing of fumigation in RA;(2)the efficacy evaluation of TCM nursing technology on pain,joint malformation,and joint dysfunction caused by RA.The included literature themes focused on five TCM technologies:fumigation,moxibustion,acupoint patching,acupoint injection,and Chinese herbal soaking.The beginning year and strength in TCM fumigation were 2012 and 5.2,and those in moxibustion were 2011 and 3.38.Conclusion:The related studies are on the rise.It has entered the field of international readers with clear research hot spots.However,there are still shortcomings such as little literature published in Chinese nursing core journals,few non-Chinese-related documents,and a lack of international exchanges and cooperation.The current research hot spots in this field are TCM fumigation,and the cutting-edge trend of future research may be fumigation and moxibustion technology.It is suggested that further research can focus on evidence integration and original research on the self-optimization of these two techniques.
基金Special Fund for Improving Academic Ability of Nursing of Integrated Traditional Chinese and Western Medicine(TG20190001f)
文摘Master-apprentice system is a main mode of talent cultivation for Traditional Chinese medicine(TCM). To vigorously push forward inheritance and innovation of TCM nursing, Beijing Administration of Traditional Chinese Medicine carried out TCM nursing inheritance work in 2016, establishing 3 studios and 1 workstation. In this paper, we summarized constructional methods and achievements in TCM nursing inheritance studios and workstation, raised issues during working, and thought about how to work in the next stage, in hoping to lay a good foundation for carrying out in-depth work about TCM nursing inheritance.
文摘Objective:To analyze the implementation status of traditional Chinese medicine(TCM)nursing protocols for type 2 diabetes mellitus.Methods:Totally 420 hospitalized patients with type 2 diabetes mellitus were given TCM nursing protocols by syndrome differentiation.A quantitative and qualitative investigation was conducted to patients who received TCM nursing and nurses who performed TCM nursing techniques.Results:According to the self-evaluation outcomes of patients,TCM nursing protocols were effective to relieve polydipsia,polyuria,fatigue and other symptoms.Patients exhibited a high level of compliance with nursing techniques such as auricular point pressing,acupoint massage,Chinese herbal foot-bath and moxibustion.The interview showed that patients could benefit from the TCM nursing protocols,and nurses considered that application of TCM nursing protocols could enhance their awareness of TCM knowledge and practice skills.Conclusion:The application of TCM nursing protocols is effective to relieve clinical symptoms of type 2 diabetes mellitus.It can also improve the knowledge level and practice skills of nurses in TCM hospitals.
文摘Objective: This meta-analysis aims to evaluate the effects of traditional Chinese medicine(TCM) nursing combined with conventional nursing in patients with chronic obstructive pulmonary disease(COPD).Methods: Data were collected from the databases of PubMed, Embase, the Cochrane Library, Web of Science, Google Scholar,China National Knowledge Infrastructure(CNKI), WanFang Data(WF) and VIP Database, including literature regarding the effects of TCM nursing combined with conventional nursing in patients with COPD published before January 2017. The Jadad scale was used to assess the quality of the eligible literature. The weighted mean differences and odds ratios were used to analyze St. George's Respiratory Questionnaire(SGRQ) scores, pulmonary function, hospital stay, and clinical efficacy.Results: Twenty-three randomized controlled trials comprising 3116 cases(TCM nursing combined with the conventional nursing group: 1559; conventional nursing group: 1557) met the inclusion criteria. TCM nursing combined with conventional nursing was associated with a lower SGRQ score, higher forced expiratory volume in 1 second(FEV1) value, higher FEV1/forced vital capacity(FVC) value, higher FEV1% value, higher FEV1 predicted value, shorter hospital stay, and preferable clinical efficacy.Conclusions: TCM nursing combined with conventional nursing emphasized that dialectical nursing can be performed preferably in patients with COPD.
