Objective To investigate the medication characteristics of Professor Gu Shizh in the treatment of lumbar disc herniation based on various data mining techniques.Methods The outpatient case records of Professor Gu was collected from January 2018 to September 2024 in the Guoyitang outpatient department of Beijing University of Chinese Medicine(BUCM)and BUCM Famous Elderly TCM Inheritance Research Integrated Platform.Patients with lumbar disc herniation mentioned in Professor Gu Shizhe's book of Zhi Zhen Zhi Yao were also be screened.R Studio 2024.4.3.2 was used for descriptive analysis and Apriori was used for association rule analysis.SPSS Statistics 27.0 was used for clustering analysis,and chiplot website was used for visualize the properties,tastes and meridians of drugs.Cytoscape 3.10.2 was used to build a network of"high frequency drug association",and combined with the TCM theories characteristics and medicine law used by professor Gu Shine in the treatment of lumbar disc herniation were summarized.Results A total of 63 cases were collected,involving 194 prescriptions and 187 kinds of Chinese materia medica.The top 30 drugs with the highest frequency were extracted,and the top 6 drugs were Angelicae Pubescentis Radix,Taxilii Herba,salt Eucommiae Cortex,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Chuanxiong Rhizoma,Gentianae Macrophyllae Radix.The main tastes were sweet,bitter and pungent,the main properties were warm and neutral.The main meridians were liver,spleen,lung,kidney and stomach meridians.Three core medicinal combinations were obtained by clustering analysis,including Duhuo Jisheng Decoction,Gegeng Decoction,Zhijing Powder and Xuduan Pill.Conclusion The focus of Professor Gu's treatment for lumbar disc herniation is to nourish the liver and kidneys,warm and replenish qi and blood,reflecting the characteristics of"qi and blood are in harmony,essence and blood are equally emphasized"in medication

Objective To investigate the medication characteristics of Professor Gu Shizh in the treatment of lumbar disc herniation based on various data mining techniques.Methods The outpatient case records of Professor Gu was collected from January 2018 to September 2024 in the Guoyitang outpatient department of Beijing University of Chinese Medicine(BUCM)and BUCM Famous Elderly TCM Inheritance Research Integrated Platform.Patients with lumbar disc herniation mentioned in Professor Gu Shizhe's book of Zhi Zhen Zhi Yao were also be screened.R Studio 2024.4.3.2 was used for descriptive analysis and Apriori was used for association rule analysis.SPSS Statistics 27.0 was used for clustering analysis,and chiplot website was used for visualize the properties,tastes and meridians of drugs.Cytoscape 3.10.2 was used to build a network of"high frequency drug association",and combined with the TCM theories characteristics and medicine law used by professor Gu Shine in the treatment of lumbar disc herniation were summarized.Results A total of 63 cases were collected,involving 194 prescriptions and 187 kinds of Chinese materia medica.The top 30 drugs with the highest frequency were extracted,and the top 6 drugs were Angelicae Pubescentis Radix,Taxilii Herba,salt Eucommiae Cortex,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Chuanxiong Rhizoma,Gentianae Macrophyllae Radix.The main tastes were sweet,bitter and pungent,the main properties were warm and neutral.The main meridians were liver,spleen,lung,kidney and stomach meridians.Three core medicinal combinations were obtained by clustering analysis,including Duhuo Jisheng Decoction,Gegeng Decoction,Zhijing Powder and Xuduan Pill.Conclusion The focus of Professor Gu's treatment for lumbar disc herniation is to nourish the liver and kidneys,warm and replenish qi and blood,reflecting the characteristics of"qi and blood are in harmony,essence and blood are equally emphasized"in medication

Objective To discuss the medication law of Professor Gu Shizhe in the treatment of insomnia based on various data mining techniques.Methods Clinical information of patients of Professor Gu was collected from the hospital management information system of outpatient clinic of Beijing University of Chinese Medicine(BUCM)and BUCM Famous Elderly TCM Inheritance Research Integrated Platform from January 2018 to October 2022.Professor Gu's books,such as Zhi Zhen Zhi Yao,and Gu Jisheng,Gu Shizhe Yi An Yi Hua Jing Cui,and the medical records from CNKI were screened.WPS Office 5.2.1 was used to build a database of medicine data for Professor Gu's TCM prescriptions,and R 4.2.1 was used for descriptive analysis and Apriori association rule analysis.SPSS Statistics 26.0 was used for clustering analysis,combined with theoretical analysis,to extract Professor Gu's medication law and characteristics in the treatment of insomnia.Results A total of 307 prescriptions were included,involving 250 kinds of Chinese materia medica,among which 30 were high-frequency drugs.The top 5 most frequently used were Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle,Fossilizid,Poria,Bupleuri Radix,and Ziziphi Spinosae Semen.The meridians were mainly liver and lung meridian,and the properties were mainly warm and cold,and the tastes were mainly sweet and bitter.Five core drug groups were obtained by clustering analysis,including Xiaochaihu Decoction,Erchen Decoction,Huanglian Wendan Decoction,Suanzaoren Decoction,Xiaoyao Powder and other prescriptions.Conclusion The characteristics of Professor Gu's treatment of insomnia are to reconcile Shaoyang,clear the heart and soothe the mind;pay attention to yin and yang,regulate the liver;pay attention to the liver,gallbladder,spleen and stomach;the main idea of syndrome differentiation is to reconcile Shaoyang,run the Shaoyang cardinal,and at the same time regulate qi and benefit qi and nourishes yin.

BACKGROUND:Total knee arthroplasty is the main therapeutic regimen for end-stage osteoarthritis.However,diabetes mellitus can affect the treatment effect and prognosis. OBJECTIVE:To explore the effect of diabetes mellitus on perioperative blood loss and postoperative pain in patients undergoing primary total knee arthroplasty. METHODS:A retrospective study was conducted on 154 patients who underwent primary total knee arthroplasty and met the inclusion criteria in the Osteonecrosis and Joint Reconstruction Ward of Xi'an Honghui Hospital Affiliated to Xi'an Jiaotong University from January to April 2021.Patients were divided into a non-diabetic group and a diabetic group according to their diagnosis,with 32 cases in the diabetic group,9 males and 23 females,aged 55 to 80(66.58±7.16)years and 122 cases in the non-diabetic group,34 males and 88 females,aged 44 to 83(66.69±6.63)years.Perioperative blood loss(including total blood loss,hidden blood loss,the falling value of hemoglobin and hematocrit)was calculated for both groups.Visual analog scale scores,hospital for special surgery knee score,and Caprini scores were recorded preoperatively and postoperatively. RESULTS AND CONCLUSION:(1)Total blood loss was significantly lower in the non-diabetic group(729.93±233.83 mL)than that in the diabetic group(853.69±184.91 mL)(P<0.05).Latent hidden blood loss was also significantly lower in the non-diabetic group(624.40±233.19 mL)than that in the diabetic group(749.08±179.49 mL)(P<0.05).(2)In the non-diabetic group,the visual analog scale scores preoperatively and 1 month postoperatively were significantly lower than those in the diabetic group(P<0.05).The differences in visual analog scale scores at 3 days and 3 months postoperatively between the non-diabetic group and the diabetic group were not statistically significant(P>0.05).(3)The hospital for special surgery knee score at 1 month postoperatively was significantly higher in the non-diabetic group than that in the diabetic group(P<0.05).There was no significant difference in hospital for special surgery knee score between the two groups at 3 months postoperatively(P>0.05).(4)There was no statistically significant difference in preoperative and postoperative Caprini scores between the two groups(P>0.05).(5)It is concluded that having diabetes increases total and occult hidden blood loss in primary total knee arthroplasty.In the short term after total knee arthroplasty,diabetes increases the patient's pain and affects the recovery of joint function,but the negative effects fade with time.

[Objective] To explore the clinical characteristics, diagnosis and treatment of benign liver tissue ectopia in adrenal tumor, so as to improve the understanding of this disease. [Methods] We reported the data of a rare patient with ectopic liver tissue to adrenal gland admitted in the Department of Urology, Liaocheng Second Hospital Affiliated to Shandong First Medical University and discussed it in conjunction with literature. [Results] The patient was a 32-year-old male who sought medical attention for more than half a year due to elevated blood pressure and detection of a tumor in the right adrenal gland.Ultrasound and CT examinations showed a tumor in the right adrenal gland, suggesting myeloid lipoma.Laparoscopic right adrenalectomy was performed, and the postoperative pathology showed benign liver tissue ectopia in adrenal tumor, hepatocyte proliferation, steatosis, and slight lymphocyte infiltration.Immunohistochemistry suggested Hep-1 (+ ). During the follow-up of 12 months, the patient recovered well with no complications.Imaging examinations showed no signs of recurrence. [Conclusion] Benign liver tissue ectopia in adrenal tumor is very rare and is difficult to diagnose preoperatively.Diagnosis is mainly based on pathology, and surgical resection is usually chosen.

Objective To evaluate the acute exacerbation of chronic obstructive pulmonary disease(COPD)(AECOPD)status via combining clinical data,lung function parameters with CT radiomic features based on machine learning method.Methods A total of 343 COPD patients,including 158 AECOPD patients and 185 non-AECOPD patients were retrospectively selected and randomly divided into training and testing sets at a ratio of 7∶3.The radiomics features were calculated after automatically delineating the whole lung volume of interest(VOI).Five machine learning methods were used to construct the AECOPD diagnostic model,then the corresponding Radiomics score(Rad-score)was calculated in the training set and was validated in the testing set.The logistic-combined model was established after integrating age,Global Initiative for Chronic Obstructive Lung Disease(GOLD)classification,vital capacity(VC),forced vital capacity(FVC),forced expiratory volume in one second(FEV1),FEV1％pred,FEV1/FVC％,peak expiratory flow(PEF),maximum ventilatory volume(MVV),and Rad-score value.The area under the curve(AUC)of receiver operating characteristic(ROC)curve was calculated to evaluate the evaluated performance of all models.Results The logistic regression model had the best diagnostic performance,with AUC of 0.724 and 0.758 in the training and testing sets,respectively.The performance of the logistic-combined model to diagnose AECOPD was superior to that of the single logistic regression model,with the AUC of 0.777 and 0.760 in the training and testing sets,respectively.Conclusion A combination strategy including clinical data,lung function parameters,and CT radiomics may be helpful to diagnose AECOPD status,with moderate diagnostic performance.

Objective To observe the drainage pathways of interstitial fluid(ISF)and substance clearance pattern in rat brain with fluorescence tracing imaging and treacer-based MRI.Methods Thirty-three male SD rats were randomly divided into fluorescence tracing group(F group,n=18)and treacer-based MRI group(MRI group,n=15),then further divided into thalamic,hippocampal and caudate nucleus subgroups,respectively.Evans blue was injected to rats in F group,and cardiac perfusion was performed after injection,then brain tissue was harvested,and frozen sections were made to observe the drainage pathways of IFS in different subgroups.MRI was performed on rats in MRI group before and after injection of gadolinium-diethylenetriamine pentaacetic acid(Gd-DTPA)to observe signal intensity in ROI of brain regions in different subgroups,the signal unit ratio was calculated,and the changing trend was explored.Results ISF in thalamus,hippocampus and caudate nucleus had different dominant drainage pathways,and the time of tracer reached to adjacent brain regions and whole brain in F group were different.In MRI group,within 4 h after injection of Gd-DTPA,there were differences in direction and clearance rate among tracer in thalamus,hippocampus and caudate nucleus,mainly manifesting as the tracer in thalamus and hippocampus drained to the ipsilateral cortex and lateral ventricle,while the tracer in the caudate nucleus diffused to the cortex and midbrain,and there were differences of the peak time of tracer signal among adjacent drainage brain regions.Conclusion Fluorescence and MR dual-mode imaging showed that there were differences in the dominant drainage pathways of IFS and clearance rates of small molecule substances among hypothalamus,hippocampus and caudate nucleus of rats.

Spinal cord injury, a severe injury of the central nervous system, shows high disability and mortality rate and seriously affects the patients′ quality of life. It is difficult to restore the spinal cord and achieve satisfactory neurological function improvement with various current treatments for spinal cord injury. Electric stimulation can accelerate axonal growth and myelination and promote nervous tissue repair and regeneration. Conductive hydrogels that can load electric stimulation have great potential in the treatment of spinal cord injuries. Under electric stimulation, different types of conductive hydrogels have different characteristics and can perform a variety of functions. However, clinicians still lack a comprehensive understanding of their application effects in repair of spinal cord injury. To this end, the authors reviewed the research progress on the role of electric stimulation as well as the characteristics and applications of different types of conductive hydrogels in repair of spinal cord injury to provide references for the synthesis and clinical transformation of conductive hydrogels for repair of spinal cord injury.

China prospective multicenter birth cohort (Prospective Omics Health Atlas birth cohort, POHA birth cohort) study was officially launched in 2022. This study, in collaboration with 12 participating units, aims to establish a high-quality, multidimensional cohort comprising 20 000 naturally conceived families and assisted reproductive families. The study involves long-term follow-up of parents and offspring, with corresponding biological samples collected at key time points. Through multi-omics testing and analysis, the study aims to conduct multi-omics big data research across the entire maternal and infant life cycle. The goal is to identify new biomarkers for maternal and infant diseases and provide scientific evidence for risk prediction related to maternal diseases and neonatal health.

Objective:To analyze the frequency and characteristics of polymyositis (PM) in idiopathic inflammatory myopathy (IIM), and to investigate whether PM is over-diagnosed.Methods:Patients diagnosed as IIM according to the Bohan & Peter criteria of IIM hospitalized in the Department of Rheumatology of China-Japan Friendship Hospital from 2008 to 2019 were involved in the study. Definite PM (dPM) was defined as typical clinical and pathological features including elevated creatine kinase (CK) level, muscle weakness and muscle biopsy findings with endomysial CD8 + T cell infiltration and expression of MHC-1 on sarcolemma. Meanwhile, dermatomyositis (DM), anti-synthase syndrome(ASS), immune-mediated necrotic myopathy(IMNM), sporadic inclusion body myositis(sIBM) and other myopathies were excluded according to the new classification criteria of IIM subtypes respectively. Statistical analysis was performed using SPSS software 24.0. The Kruskal-Wallis test and χ2 test were used to compare the clinical characteristics between the dPM group and other IIM subtypes. Results:A total of 1 259 patients with IIM including 1 015 (80.6%) DM and 244(19.4%) PM were enrolled in this study. According to the strict definition of PM criteria, only 0.5% of patients (6/1 259) in IIM could be diagnosed as dPM. Most PM patients were IMNM and ASS according to the new IIM subtypes criteria, of which 48.0% (117/244) were IMNM and 32.0% (78/244) were ASS. 66.7%(4/6) of dPM patients were women. One complicated with RA, and one was dPM overlaped with systemic sclerosis. All of them had muscle weakness, mild elevation of CK level [611(391,1 451) U/L], and were myositis-specific autoantibodies negative. Except one dPM patients who did not receive immunoregulatory therapy due to chronic obstructive pulmonary disease, the others were administrated with low or medium dose prednisone combined with or without immunosuppressive agents. After a median follow-up of (38±26) months, the muscle strength of dPM patients were improved.Conclusion:dPM is a very rare clinical subtype of IIM. PM is an over-diagnosed entity in clinical practice. Patients with dPM have mild symptoms and good outcome.