Association between metabolic syndrome and body constitution of traditional Chinese medicine:A systematic review and meta-analysis

Background:The constitution theory of traditional Chinese medicine(TCM)states that body constitution and disease are associated;therefore,the identification of body constitution can provide reference for disease prevention and treatment.A series of clinical studies evaluating the association between TCM constitution and metabolic syndrome(MetS)have been conducted in recent years.The aim of this systematic review is to summarize and evaluate the clinical evidence of the relationship between constitution and MetS.Methods:The PubMed,Embase,China National Knowledge Infrastructure(CNKI),Chongqing VIP,and Wanfang Data electronic databases were searched from April 2009 to July 2020.The search terms included“metabolic syndrome,”“constitution,”and“Chinese medicine.”Observational studies evaluating the relationship between body constitution of TCM and MetS were included.The primary outcome included the distribution of constitutional types in the MetS population,and odds ratio(OR)or relative risk(RR)between constitution and MetS.Effect size was expressed as proportion or OR with 95%confidence interval(CI).Methodological quality of included studies was evaluated by the NewcastleeOttawa Scale(NOS)or the American Agency for Healthcare Research and Quality(AHRQ)criteria.Results:Three caseecontrol and 26 cross-sectional studies involving 30435 cases were included.Phlegm-dampness,qi-deficiency,and damp-heat were the main constitution types in patients with MetS,accounting for 29%(22%e39%),18%(13%e24%),and 12%(9%e17%)of the population,respectively;the risk of MetS in people with phlegm-dampness and qi-deficiency constitution was 1.74[1.27,2.38]and 1.29[1.01,1.65]times higher than that in those with other constitutions.There were sex-and age-related differences in the distribution of TCM constitution in patients with MetS.Conclusion:Phlegm-dampness and qi-deficiency were associated with the occurrence of MetS.Welldesigned cohort and caseecontrol studies are needed to provide evidence for the use of TCM to prevent and treat MetS.

Rule of prescribing traditional Chinese medicine in the treatment of pneumoconiosis basedon association rules and k-means clustering algorithm

Objective:To analyze the rule of prescribing traditional Chinese medicine for treating pneumoconiosis,so as to provide reference for differential diagnosis and treatment of pneumoconiosis as well as for the development of new drugs for treatingthe disease.Methods:We searched China National Knowledge Infrastructure,Wanfang Database and VIP Chinese PublicationDatabase to retrieve relevant literatures which were then screened according to the enrollment criteria to establish a prescriptiondatabase of traditional Chinese medicine for the treatment of pneumoconiosis.The inheritance calculation platform of traditionalChinese medicine was used to analyze the prescribing rule of traditional Chinese medicine in the treatment of pneumoconiosisbased on association rules,k-means clustering algorithm and regression model analysis.Results:A total of 131 related literature were preliminarily selected,from which 97 prescriptions of traditional Chinese medicine with a total of 195 herbs were included.The most frequently prescribed herbs included Radix astragali,Platycodon grandiflorum,Pinellia ternata,licorice,Codonopsispilosula,Salvia miltiorrhiza,bitter almond etc.A total of 14 association rules,13 high-frequency herb pairs were found and 5groups of formulas were revealed by cluster analysis.Conclusion:The prescriptions for the treatment of pneumoconiosis are mainly composed of herbs for tonifying deficiency,resolving phlegm,relieving cough and asthma,activating blood circulation and removingblood stasis,which are supplemented with herbs for clearing heat,relieving appearance,regulating qi,promoting waterand permeating dampness,etc.,The prescribing rules reflect the basic pathological characteristics of lung deficiency and collateral arthralgia in pneumoconiosis,which provides some ideas for the clinical differentiation and treatment of pneumoconiosis in traditionalChinese medicine.It also provides reference for the research and development of new treatment methods.

Traditional Chinese Medicine in Malaysia:A Brief Historical Overview of the Associations

The increasing number of TCM practitioners and herbal suppliers,both of which accelerated by the formation of various TCM institutions,substantiated the creation of regional traditional Chinese medicine(TCM)associations in post-World War II Malaya.In response to the restrictions and levies imposed by the British colonial government,these regional associations united and formed a national organisation now known as the Federation of Chinese Physicians and Medicine Dealers Association of Malaya(FCPMDAM).The current designated TCM practitioner body,the Malaysian Chinese Medical Association(MCMA)were also originally established to nurture local talents in the face of import restrictions.Owing to difference with MCMA,a separate association named the Federation of Chinese Physicians and Acupuncturists Associations of Malaysia(FCPAAM)was setup in 2003 to absorb self-studied and patrimonial-educated TCM practitioners.

Metabolomic and structural brain connectomic evidence validating traditional Chinese medicine diagnostic classification of major depressive disorder

OBJECTIVE Major depressive disorder(MDD) is a highly heterogeneous mental illness.Further classification may help characterize its heterogeneity.The purpose of this study was to examine metabolomic and brain connectomic associations with traditional Chinese medicine(TCM) diagnostic classification of MDD.METHODS Fifty unmedicated depressed patients were classified into Liver Qi Stagnation(LQS,n=30) and Heart and Spleen Deficiency(HSD,n=20) subtypes according to TCM diagnosis.Healthy volunteers(n=28) were included as controls.Gas chromatography-mass spectrometry(GC-MS) and diffusion tensor imaging were used to detect serum and urinary metabolomic profiles and whole-brain white matter connectivity,respectively.RESULTS In metabolomic analysis,28 metabolites were identified for good separations between TCM subtypes and healthy controls in serum and urine samples.While both TCM subtypes had similar profiles in proteinogenic branched-chain amino acids and energy metabolism-related metabolites that were differentiated from healthy controls,the LQS subtype additionally differed from healthy controls in multiple amino acid metabolites that are involved in the biosynthesis of monoamine and amino acid neurotransmitters.Several metabolites are differentially associated with the two subtypes.In connectomic analysis,The LQS subtype showed significant differences in multiple network metrics of the angular gyrus,middle occipital gyrus,calcarine sulcus,and Heschl′ s gyrus when compared to the other two groups.The HSD subtype had markedly greater regional connectivity of the insula,parahippocampal gyrus,and posterior cingulate gyrus than the other two groups,and microstructural abnormalities of the frontal medial orbital gyrus and middle temporal pole.The insular betweenness centrality was strongly inversely correlated with the severity of depression and dichotomized the two subtypes at the optimal cutoff value with acceptable sensitivity and specificity.CONCLUSION The LQS subtype may represent an MDD subpopulation mainly characterized by abnormalities in the biosynthesis of monoamine and amino acid neurotransmitters,closer associations with stress-related pathophysiology,and aberrant connectivity of the audiovisual perception-related temporal-occipital network,whereas the HSD subtype is more closely associated with hyperconnectivity and microstructural abnormalities of the limbicparalimbic network.Certain metabolomic and connectomic variables are potential biomarkers for TCM diagnostic subtypes which is perhaps an alternative classification for depressive disorders.

Study on medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever based on data mining

Objective:To analyze the medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever in order to guide clinical medication.Methods:The database of China National Knowledge Infrastructure,Vip database and WanFang medical network were searched.The cases involving traditional Chinese medicine prescription in the treatment of neoplastic fever were screened.After extracting the prescriptions and Chinese medicines,make statistics according to frequency analysis,cluster analysis and association analysis.Results:79 literatures were included which involving 123 decoctions.221 traditionalChinese medicines were included in the statistics,the most frequently used traditional Chinese medicines were Gancao,Chaihu,Huangqi and Shengdihuang.The proportion of heat-clearing drugs in Chinese medicines was the largest(23.98%).The most common property of the Chinese medicines is cold property,accounting for 51.13%.The higher frequencies of flavors of the Chinese medicines are bitter,sweet and acrid,the sum of which is 84.66%.The most common meridian of Chinese medicines is liver meridian,accounting for 19.82%.The cluster analysis and association analysis of high frequency Chinese medicines showed that high frequency Chinese medicines could form three clustering formulas,and could get 18 pairs of high frequency drug combinations.Conclusion:Traditional Chinese medicines for heat-clearing,deficiencytonifying,phlegm-resolving,blood stasis-dispeling are mostly used to the treatment of neoplastic fever.The results of cluster analysis and association analysis of high frequency traditional Chinese medicines can provide certain reference and guidance for clinical medication.

The Eastern Cultural Signature of Traditional Chinese Medicine: Empirical Evidence and Theoretical Perspectives

Background: Holistic thinking, which is rooted in Eastern culture, is assumed to be the core of traditional Chinese medicine (TCM). Recently, such holistic thinking has been proposed to be applicable to Western medicine practices for alleviating serious side effects;however, the obscure and often ill-defined terms of TCM, such as qi, yin yang, and wuxing, pose considerable obstacles for further understanding TCM. In the present study, we explored whether and how TCM is actually related to the scientific construct of holistic thinking, to elucidate the particular cultural signature of TCM. Methods: A random sample of 101 college students majoring in TCM and 93 non-medical college students was recruited for the study. Two psychological scales—the Chinese Holistic Thinking Scale and the TCM Competence Scale were used respectively to measure the holistic thinking and participants’ ability to apply the TCM in practice. Results: We found that individuals who thought more holistically were better at applying TCM to modern medical problems. Interestingly, TCM was associated with holistic thinking in both TCM and non-medical students, suggesting that this association is intrinsic. Further exploration revealed that the association and variability facets of Eastern holistic thinking—which emphasize that the world is interconnected and ever-changing, respectively—significantly accounted for the individual differences in competence in utilizing TCM in practice. Conclusion: In short, our study provides the first empirical evidence linking TCM to the Eastern holistic thinking style, which not only deepens the understanding of TCM from a scientific perspective but also promotes dialogue between TCM and Western medicine for building safer and more effective health care systems.

Intra-set correlation analysis of medical records of thyroid cancer treated by traditional Chinese medicine Master ZHOU Zhongying

Objective Based on intra-set correlation analysis, this paper deconstructs the clinical medical records of traditional Chinese medicine(TCM) Master ZHOU Zhongying in treating thyroid cancer, and analyzes the experience in “mechanism-syndrome-medicine-prescription” for thyroid cancer.Methods Through Medcase data processing platform, based on Frequent Pattern(FP)-Growth enhanced correlation analysis algorithm, the medical records of Professor ZHOU Zhongying for the treatment of thyroid cancer from June 1, 2001 to February 28, 2015 were analyzed within the set.Results This study involved 43 medical records, 43 patients, and 167 visits. After processing intra-set correlations, 28 groups of highly correlated symptoms, 21 groups of highly correlated tongue images, 10 groups of highly correlated pulse conditions, 28 groups of highly correlated pathogenesis, 34 groups of highly correlated herbs, and 26 groups of highly correlated western medicine diagnosis were selected. Professor ZHOU Zhongying treats thyroid cancer according to syndrome differentiation. Symptoms with more association rules included neck swelling, neck pain, cough, and dry mouth;tongue images with more association rules included dark purple tongue, dark red tongue, and fissured tongue;pulse conditions with more association rules were wiry pulse, thready pulse, small pulse, and slippery pulse;the pathogenesis with more association rules was phlegm and blood stasis, damp-heat accumulation,and impairment of both Qi and Yin;herbs with more association rules were Chaihu(Bupleuri Radix), Zeqi(Sun Euphoribiae Herb), and Tiandong(Asparagi Radix);western medicine diagnosis with more association rules included thyroid cancer, insomnia, and chronic gastritis.Conclusion Thyroid cancer mostly presents as deficiency in origin and excess in manifestations. The basic pathogenesis is phlegm and blood stasis, damp-heat accumulation, and impairment of both Qi and Yin, which are closely related to liver, kidney, and spleen. Professor ZHOU Zhongying adopts both attack and supplement approaches as the general treatment principle, with a strong emphasis on regulating Qi and relieving depression, eliminating phlegm and resolving stagnation, eliminating dampness and turbidity, clearing fire and destroying poison, moistening dryness and softening hard mass, invigorating Qi and nourishing Yin, and paying attention to nourishing liver and kidney, invigorating spleen and stomach,while protecting the heart and lungs.

An improved association-mining research for exploring Chinese herbal property theory: based on data of the Shennong's Classic of Materia Medica

Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine （TCM） researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better understanding of Chinese herbal property theory （CHPT）, this paper performed an improved association rule learning to analyze semistructured text in the book entitled Shennong＇s Classic of Materia Medica. The text was firstly annotated and transformed to well-structured multidimensional data. Subsequently, an Apriori algorithm was employed for producing association rules after the sensitivity analysis of parameters. From the confirmed 120 resulting rules that described the intrinsic relationships between herbal property （qi, flavor and their combinations） and herbal efficacy, two novel fundamental principles underlying CHPT were acquired and further elucidated： （1） the many-to-one mapping of herbal efficacy to herbal property; （2） the nonrandom overlap between the related efficacy of qi and flavor. This work provided an innovative knowledge about CHPT, which would be helpful for its modern research.

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Immediate effects of scalp acupuncture with twirling reinforcing manipulation on hemiplegia following acute ischemic stroke: a hidden association study

Data mining has the potential to provide information for improving clinical acupuncture strategies by uncovering hidden rules between acupuncture manipulation and therapeutic effects in a data set. In this study, we performed acupuncture on 30 patients with hemiplegia due to acute ischemic stroke. All participants were pre-screened to ensure that they exhibited immediate responses to acupuncture. We used a twirling reinforcing acupuncture manipulation at the specific lines between the bilateral Baihui（GV20） and Taiyang（EX-HN5）. We collected neurologic deficit score, simplified Fugl-Meyer assessment score, muscle strength of the proximal and distal hemiplegic limbs, ratio of the maximal H-reflex to the maximal M-wave（Hmax/Mmax）, muscle tension at baseline and immediately after treatment, and the syndromes of traditional Chinese medicine at baseline. We then conducted data mining using an association algorithm and an artificial neural network backpropagation algorithm. We found that the twirling reinforcing manipulation had no obvious therapeutic difference in traditional Chinese medicine syndromes of ＂Deficiency and Excess＂. The change in the muscle strength of the upper distal and lower proximal limbs was one of the main factors affecting the immediate change in Fugl-Meyer scores. Additionally, we found a positive correlation between the muscle tension change of the upper limb and Hmax/Mmax immediate change, and both positive and negative correlations existed between the muscle tension change of the lower limb and immediate Hmax/Mmax change. Additionally, when the difference value of muscle tension for the upper and lower limbs was 〉 0 or 〈 0, the difference value of Hmax/Mmax was correspondingly positive or negative, indicating the scalp acupuncture has a bidirectional effect on muscle tension in hemiplegic limbs. Therefore, acupuncture with twirling reinforcing manipulation has distinct effects on acute ischemic stroke patients with different symptoms or stages of disease. Improved muscle tension in the upper and lower limbs, reflected by the variation in the Hmax/Mmax ratio, is crucial for recovery of motor function from hemiplegia.

Analysis of novel coronavirus pneumonia treatment with Chinese herbal compound

Objective: To analyze the prescription law of TCM compound in the treatment of new coronavirus pneumonia, and provides reference for the clinical treatment of new coronavirus pneumonia. Methods: Collected Collected 24 novel coronavirus pneumonia related diagnostic and therapeutic plans issued by the National Health Council and the Chinese medicine authority from January 26, 2020 to March 8th ,the filtered solution involved in the formula, establishing database of traditional Chinese medicine compound prescription for the treatment of new crown pneumonia, the frequency of using frequency analysis methods of analysis and clustering analysis and association rules analysis to sort out data mining analysis of traditional Chinese medicine compound. Results: In this study, a total of 159 TCM compounds were included in the treatment of new crown pneumonia from the country and 23 provinces, municipalities and autonomous regions, involving 189 TCM compounds. A total of 62 high-frequency traditional Chinese medicines (frequency ≥ 11) were obtained, mainly including licorice, almond, ephedra, gypsum, Poria cocos, Huoxiang, etc The drug types are mainly heat-clearing drugs, vacuous drugs, moisture-curing drugs, and surfactant drugs. The main effect of the medicine was warm, cold, lukewarm and flat, the main effect of the medicine was bitter and bitter, and the main effect of the medicine was the lung, stomach and spleen. Cluster analysis results according to the performance of traditional Chinese medicine treatment of new crown pneumonia high frequency drugs into 7 classes;Association rule analysis results in 29 common drug pairs. Conclusion: In the treatment of pneumonia caused by new coronavirus infection with traditional Chinese medicine, the following characteristics are presented: the number of times of supplementing qi and Yin is more than that of attacking evil and maintaining health;The method of dispersing and solving the attack of wet, beneficial, wet, permeable and wet medicine fully embodies a variety of ways to drive away evil;In terms of drugs, heat-clearing drugs, deficiency drugs, dampness drugs and surface drugs are the main ones, highlighting that the basic treatment method is to dissolve dampness and detoxify, and replenish qi and Yin. In summary, this study can provide reference for guiding clinical drug use and developing new drugs.

External Association Analysis of Famous Doctors' Dysmenorrhea Medical Cases Based on Data Mining

Objective:Dysmenorrhea is a common gynecological disease.Some severe symptoms affect the quality of life,causing physical and psychological discomfort.To analyze the dysmenorrhea cases of famous Senior traditional Chinese medicine(TCM)doctors and TCM masters through the data mining technology and explore core related rules between the symptoms,pathogenesis,coated tongue,pulse condition,so as to deeply deconstruct the law of TCM clinical differentiation and treatment of dysmenorrhea,verify the effectiveness of the law,and optimize the clinical TCM diagnosis and treatment scheme.Methods:The external correlation analysis of dysmenorrhea medical cases through the Medcase data processing platform and the algorithm of FP-Growth enhanced association analysis was applied.Results:Altogether 171 medical records were studied,which included 171 female patients and 483 clinical visits.The age of the oldest patient was 49,the age of the youngest was 14,the average age was 28 years old.The medical cases involoved 41 kinds of pathogenesis,147 clinical symptoms,16 types of pulse condition,84 types of coated tongue and 292 traditional Chinese medicine.The external correlation processing revealed that there were 25 groups of clinical symptoms and TCM association rules;17 groups of clinical symptoms and secondary TCM association rules;21 groups of pathogenesis and Chinese medicine association rules;34 rules of coated tongue and Chinese medicine association rules;19 rules of pulse condition and Chinese medicine association rules;28 rules of clinical symptoms and pathogenesis associations.Conclusion:When treating dysmenorrhea according to the differentiation and treatment of TCM,the viscera location of the core pathogenesis mainly are kidney,spleen and liver,the pathological factors focus on blood deficiency,blood stasis and qi stagnation.The highly-related TCM include Danggui(Radix Angelicae Sinensis),Baishao(Radix Paeoniae Alba),Chuanxiong(Rhizoma Ligustici),Yanhusuo(Rhizoma Corydalis),Xiangfu(Rhizoma Cyperi).The study of these rules has reference value for the acquisition of the core pathogenesis,the clinical differentiation and the medication.

骨质疏松症海派中医临床诊疗专家共识

骨质疏松症(osteoporosis,OP)是一种进行性全身性骨骼疾病,其特征是骨量低、骨组织微结构退化,导致骨脆性增加和骨折风险升高[1]。我国首次居民OP流行病学调查显示,50岁以上人群OP患病率为19.2%,近三分之一的65岁以上人群患有OP,其中女性患病率约为男性的5倍[2]。骨折是OP患者主要的首发临床表现,多发生在髋部、椎骨、肱骨和前臂远端等部位[3-4]。研究[5]表明,45岁以上女性中,OP性骨折住院时长大于糖尿病或心肌梗死等疾病。

肺系疫病海派中医临床诊疗专家共识

疫病是外感疫疠邪气所引起的,具有强烈传染性,且易引起大流行的一类急性发热性疾病的统称,也可称作“瘟疫”“瘟病”等。肺系疫病是以肺系为主要传染部位的一类疫病,相当于西医呼吸系统传染病范畴,包括传染性非典型肺炎、流行性感冒和新型冠状病毒感染等疾病,主要以发热、咳嗽为主症,常伴有肌肉酸痛、头痛、乏力等全身症状。

卵巢癌腹水中西医结合临床诊疗专家共识

腹水是腹膜腔内的过量积液,主要由原发或转移性肿瘤表面裸露的毛细血管渗出导致。恶性肿瘤相关腹水占所有腹水类型的10%,其中又以卵巢癌最为常见。卵巢癌的发病率居女性生殖系统恶性肿瘤第三位,病死率居妇科恶性肿瘤之首[1]。绝大多数卵巢癌患者初诊时已出现广泛腹腔转移,大量腹水增加腹腔压力,引起不同程度恶心、呕吐、纳差、腹部胀痛、呼吸困难等症状,若不及时控制可进一步诱发心肺功能不全,危及生命。

腰椎间盘突出症上海中医骨伤流派临床诊疗专家共识

腰椎间盘突出症(lumbar disc herniation,LDH)是临床常见病、多发病,严重影响患者的正常生活[1]。LDH发病率很高,全世界范围内有2%~3%的普通人群受其影响,且以25~60岁人群多发[2]。目前LDH的治疗大体分为手术治疗与非手术治疗,均有较好的疗效,但前者适应证严格、费用高、术后恢复期长,相比之下,非手术治疗创伤小、安全性高,患者接受度高。