OBJECTIVE: To explore the pain-location interaction between pressure-sensitive points on the body surface and traditional acupoints in patients with chronic non-specific low back pain (CNLBP) under different disease courses, using Euclidean distance and multivariate statistical analysis. METHODS: A pressure-sensitive point detection was performed on 30 CNLBP patients with varying disease courses. A constant pressure was applied using an FDK20 algometer within a designated lumbar area, a total of 50 points were tested, and the tested points were numbered; the visual analogue scale (VAS) pain score was recorded simultaneously. MatlabR2022a9.12. software was used to extract the positions of pressure-sensitive points, and preprocessing and normalization of point location and VAS scores data were conducted. Under constraint conditions (VAS≥8.0 ∩ Euclidean distance to acupoint≤0.5), the proportion of pressure-sensitive points within the Euclidean distance threshold to each acupoint (PVD_acupoint) was calculated, followed by multivariate statistical analysis. RESULTS: ①Constrained analysis of PVD_acupoint showed that PVD_{Qihaishu (BL24)} and PVD_{Dachangshu (BL25)} were positively correlated with disease course (r=0.55, P<0.01). ②Factor analysis and silhouette analysis revealed that PVD_{Shenshu (BL23)} and PVD_{Dachangshu (BL25)} exhibited trends consistent with disease course progression (P>0.05), with different degree (P<0.01). CONCLUSION The PVD_acupoint value based on Euclidean distance can characterize the pressure sensitivity features of traditional acupoints associated with disease. Multivariate statistical analysis of PVD_acupoint confirms that selecting the acupoint combination of Shenshu (BL23) and Dachangshu (BL25) for CNLBP is associated with the distribution of surrounding pressure-sensitive points and the pathological characteristics of the condition.
Humans ; Acupuncture Points ; Low Back Pain/physiopathology* ; Male ; Female ; Middle Aged ; Adult ; Aged ; Acupuncture Therapy ; Young Adult ; Pressure

Objective To explore the selection rules of acupuncture and moxibustion for treating ovarian dysfunction-related diseases by applying data mining technology.Methods Computer searches were conducted to find clinical research literature on acupuncture and moxibustion for ovarian reserve dysfunction-related diseases(including diminished ovarian reserve,premature ovarian insufficiency,premature ovarian failure)in major databases,such as China National Knowledge Infrustructure(CNKI),Wanfang Data Knowledge Service Platform(Wanfang),and China Science and Technology Journal Database(VIP),Excel 2021 was used to establish a prescription database of acupoints selection,and SPSS Modeler 18.0 and SPSS Stastics 26.0 software were used to analyse the frequency,meridian tropism,site,special acupoints,analysis of association rule,and cluster analysis of acupoints to study the rules of acupuncture and moxibustion for treating ovarian reserve dysfunction-related diseases.Results A total of 215 articles were screened to meet the requirements,in which,96 acupoints were used,with a total frequency of 2 110 times.The high-frequency used acupoints were Guanyuan(RN4),Sanyinjiao(SP6),and Shenshu(BL23),etc,.The commonly used meridians were the conception vessel(CV)and bladder meridian of foot-taiyang,and the acupoints were mostly located in the abdomen and lower limbs,with the majority being the five-shu point and the yuan front-mu points.The core acupoints and four effective clusters were analysed.Conclusion The acupoint selection of acupuncture and moxibustion for ovarian reserve dysfunction-related diseases focuses on tonifying qi and blood,cultivating the vital essence and tonifying the kidneys.Most of the meridians related to reproduction were selected in this method,which aiming at regulating menstruation and tonifying blood,and pre-cultivating its loss.This research focuses on the matching of neighboring point and distant point selection,and pays attention to the use of specific acupoints,and treates multiple organs simultaneously.

Objective:To investigate the relationship between lifestyle factors and stroke in the elderly.Methods:Data were obtained from a natural cohort of the Multimodal Intervention to Delay Dementia and Disability in Rural China(MIND-China)study.A total of 5 009 participants aged 60 years and above were enrolled, of whom 954(19.05%)had experienced a stroke.Logistic regression analyses were conducted to assess the association between five lifestyle factors(smoking, drinking, physical exercise, social activity and sleep quality)and the incidence of stroke.Results:In model 1, after adjusting for age, sex and education, only social activity( OR=0.783, 95% CI: 0.668-0.917)and good sleep quality( OR=0.731, 95% CI: 0.621-0.860)emerged as protective factors against stroke(both P<0.05).No statistically significant associations were found between other lifestyle factors and stroke.Analysis of a variety of healthy lifestyle practice combinations showed that having 3( OR=0.639, 95% CI: 0.433-0.944), 4( OR=0.620, 95% CI: 0.409-0.941)and 5( OR=0.397, 95% CI: 0.197-0.799)healthy lifestyle practices were protective factors against stroke(all P<0.05).In model 2, after adjusting for age, sex, education, body mass index, diabetes, hyperlipidemia, hypertension, and the APOE genotype, the results were consistent with those of Model 1. Conclusions:Lifestyle factors are significantly associated with the risk of stroke in the elderly population.The healthier lifestyle practices are adopted, the lower the risk of stroke will be.

OBJECTIVE: To evaluate the clinical outcomes of reverse total shoulder arthroplasty as a revision procedure for the failed fixation of proximal humeral fractures in the elderly patients. METHODS: A retrospective analysis was performed on 8 patients with failed internal fixation of proximal humeral fractures from May 2014 to March 2020, including 3 males and 5 females, aged from 65 to 75 years old. All 8 patients underwent reverse total shoulder arthroplasty, and the mean time between initial fixation and reverse total shoulder arthroplasty ranged from 8 to 16 months. Range of motion(ROM), University of California at Los Angeles(UCLA) shoulder score, visual analogue scale (VAS), self-rating anxiety scale(SAS), and Constant-Murley score of shoulder function were assessed pre-operatively and at the last follow-up. Complications relating to the surgery were recorded. RESULTS: All 8 patients successfully followed up. The mean follow-up after reverse total shoulder arhroplasty ranged from 16 to 28 months. The range of motion (forward flexion, external rotation, abduction and internal rotation) of the affected shoulder was significantly improved after surgery, and the post-operative VAS, SAS and UCLA scores were also significantly improved. For the Constant-Murley score of shoulder joint function, the total scores and the subscores of pain, daily activities, range of motion and strength test at the last follow-up were all significantly improved. Scapular glenoid notch was observed in patient, which was evaluated as grade 1 on imaging. All the other patients did not develop specific or non-specific complications. CONCLUSION Reverse total shoulder arhroplasty is an appropriate treatment as a revision surgery for failed fixation of proximal humeral fractures. It has shown satisfactory clinical outcomes, accelerating the rehabilitation of shoulder function and improving the quality of life.
Male ; Female ; Humans ; Aged ; Shoulder/surgery* ; Arthroplasty, Replacement, Shoulder/methods* ; Retrospective Studies ; Treatment Outcome ; Quality of Life ; Shoulder Joint/surgery* ; Shoulder Fractures/surgery* ; Humerus/surgery* ; Range of Motion, Articular

Kawasaki disease (KD) is a febrile disease mainly observed in children aged <5 years, with medium- and small-vessel vasculitis as the main lesion. Although KD has been reported for more than 50 years and great progress has been made in the etiology and pathology of KD in recent years, there is still a lack of specific indicators for the early diagnosis of KD, especially with more difficulties in the diagnosis of incomplete Kawasaki disease (IKD). At present, there are no clear diagnostic criteria for IKD, which leads to the failure of the timely identification and standardized treatment of IKD in clinical practice and even induce the development of coronary artery lesion. This article reviews the concept, epidemiological features, diagnosis, treatment, and follow-up management of IKD, in order to deepen the understanding of IKD among clinical workers and help to improve the clinical diagnosis and treatment of KD in China.
Child ; Humans ; Infant ; Mucocutaneous Lymph Node Syndrome/therapy* ; Coronary Vessels ; China

Objective: To investigate the distribution of chronic kidney disease (CKD) in participants from the China Kadoorie Biobank (CKB) study and evaluate the association between lifestyle risk factors and CKD. Methods: Based on the baseline survey data and follow-up data (as of December 31, 2018) of the CKB study, the differences in CKD cases' area and population distributions were described. Cox proportional hazards regression model was used to estimate the association between lifestyle risk factors and the risk of CKD. Results: A total of 505 147 participants, 4 920 cases of CKD were recorded in 11.26 year follow up with a incidence rate of 83.43/100 000 person-years. Glomerulonephropathy was the most common type. The incidence of CKD was higher in the urban area, men, and the elderly aged 60 years and above (87.83/100 000 person-years, 86.37/100 000 person-years, and 132.06/100 000 person-years). Current male smokers had an increased risk for CKD compared with non-smokers or occasional smokers (HR=1.18, 95%CI: 1.05-1.31). The non-obese population was used as a control group, both general obesity determined by BMI (HR=1.19, 95%CI: 1.10-1.29) and central obesity determined by waist circumference (HR=1.27, 95%CI: 1.19-1.35) were associated with higher risk for CKD. Conclusion: The risks for CKD varied with area and population in the CKB cohort study, and the risk was influenced by multiple lifestyle factors.
Aged ; Adult ; Humans ; Male ; Cohort Studies ; Prevalence ; Prospective Studies ; Risk Factors ; Obesity/epidemiology* ; Renal Insufficiency, Chronic/epidemiology* ; China/epidemiology* ; Life Style ; Body Mass Index

Sarcopenia,osteoporosis and osteosarcoporosis,which belong to the same category of musculoskeletal unit disease,seriously impair the homeostasis of the musculoskeletal system in the aging process of the human body.In recent years,researchers have applied various emerging technologies to conduct multi-disciplinary,multi-level and multi-dimensional research on musculoskeletal decay disease,and have come to realized that the disease involves complex biochemical and mechanical crosstalk,and the intestinal microecology has also aroused great interest in this crosstalk because of its profound impact on musculoskeletal health.In view of this,this paper takes the close relationship between intestinal microecology and musculoskeletal decay disease as the starting point,and under the guidance of the overall concept,we deeply analyzes the mechanism and regulatory information behind this relationship,and on this basis,we excavates the potential therapeutic targets for musculoskeletal decay disease,so that we can provide new ideas and strategies for the management of the disease in the context of the musculoskeletal subunit.

The postmortem interval (PMI) estimation is a key and difficult point in the practice of forensic medicine, and forensic scientists at home and abroad have been searching for objective, quantifiable and accurate methods of PMI estimation. With the development and combination of high-throughput sequencing technology and artificial intelligence technology, the establishment of PMI model based on the succession of the microbial community on corpses has become a research focus in the field of forensic medicine. This paper reviews the technical methods, research applications and influencing factors of microbial community in PMI estimation explored by using high-throughput sequencing technology, to provide a reference for the related research on the use of microbial community to estimate PMI.
Humans ; Postmortem Changes ; Artificial Intelligence ; Autopsy ; Cadaver ; Microbiota

Humans ; White Matter/pathology* ; Central Nervous System Neoplasms/pathology* ; Lymphoma, Large B-Cell, Diffuse/pathology*