OBJECTIVE: The present study evaluated the effects of deep acupuncture at Weizhong acupoint (BL40) on bladder function and brain activity in a rat model of overactive bladder (OAB), and investigated the possible mechanisms around the acupuncture area that initiate the effects of acupuncture. METHODS: Adult female Sprague-Dawley rats were randomly divided into six groups, comprising a control group, model group, group treated with deep acupuncture at BL40, group treated with shallow acupuncture at BL40, group treated with acupuncture at non-acupoint next to BL40, and group treated with acupuncture at Xuanzhong (GB39). Urodynamic evaluation was used to observe the urination, and functional magnetic resonance imaging was used to observe the brain activation. The mechanism of acupuncture at BL40 in regulating bladder function was explored by toluidine blue staining and enzyme-linked immunosorbent assay, and the mechanism was verified by stabilizing mast cells (MCs) or blocking tibial nerve. RESULTS: Deep acupuncture at BL40 significantly increased the intercontraction interval in OAB rats and enhanced the mean amplitude of low frequency fluctuation of primary motor cortex (M1), periaquaductal gray matter (PAG), and pontine micturition center (PMC). It also increased the zero-lag functional connectivity between M1 and PAG and between PAG and PMC. Shallow acupuncture at BL40 and acupuncture at non-acupoint or GB39 had no effect on these indexes. Further studies suggested that deep acupuncture at BL40 increased the number and degranulation rate of MCs as well as the contents of 5-hydroxytryptamine, substance P, and histamine in the tissues around BL40. Blocking the tibial nerve by lidocaine injection or inhibiting MC degranulation by sodium cromoglycate injection obstructed the effects of acupuncture on restoring urinary function and modulating brain activation in OAB rats. CONCLUSION Deep acupuncture at BL40 may be more effective for inhibiting OAB by promoting degranulation of MCs around the acupoint and stimulating tibial nerve, thereby regulating the activation of the brain area that controls the lower urinary tract. Please cite this article as: Liu X, Zhang CY, Du XY, Li SS, Wang YQ, Zheng Y, Deng HZ, Fang XQ, Li JY, Wang ZQ, Xu SF, Mi YQ. Acupuncture at Weizhong (BL40) attenuates acetic acid-induced overactive bladder in rats by regulating brain neural activity through the modulation of mast cells and tibial nerves. J Integr Med. 2025; 23(1): 46-55.
Animals ; Urinary Bladder, Overactive/physiopathology* ; Mast Cells/physiology* ; Rats, Sprague-Dawley ; Female ; Acupuncture Therapy ; Acupuncture Points ; Rats ; Brain/physiopathology* ; Tibial Nerve/physiopathology* ; Acetic Acid ; Urinary Bladder/physiopathology*

OBJECTIVE: Varied acupoint selections represent a potential cause of the uncertainty surrounding the efficacy of acupuncture for knee osteoarthritis (OA). Skin temperature, a guiding factor for acupoint selection, may help to address this issue. This study explored thermal sensitization of acupoints used for the treatment of knee OA. METHODS: This cross-sectional case-control study enrolled cases aged 45-75 years with symptomatic knee OA and age- and gender-matched non-knee OA controls in a 1:1 ratio. All participants underwent infrared thermographic imaging. The primary outcome was the relative skin temperature of acupoint (STA), and the secondary outcome was the absolute STA of 11 acupoints. The Z test was used to compare the relative and absolute STAs between the groups. Principal component analysis was used to extract the common factors (CFs, acupoint cluster) in the STAs. A general linear model was used to identify factors affecting the STA in the knee OA cases. For the group comparisons of relative STA, P < 0.0045 (adjusted for 11 acupoints through Bonferroni correction) was considered to indicate statistical significance. For other analyses, P < 0.05 was used as the threshold for statistical significance. RESULTS: The analysis included 308 participants, consisting of 151 cases (mean age: [64.58 ± 6.67] years; male: 25.83%; mean body mass index: [25.70 ± 3.16] kg/m²) and 157 controls (mean age: [63.37 ± 5.96] years; male: 26.11%; mean body mass index: [24.47 ± 2.84] kg/m²). The relative STAs of ST34 (P = 0.0001), EX-LE2 (P < 0.0001), EX-LE5 (P = 0.0006), SP10 (P < 0.0001), BL40 (P = 0.0012) and GB39 (P = 0.0037) were higher in the knee OA group. No difference was found in the STAs of ST35, ST36, SP9, GB33 and GB34. Four CFs were identified for relative STA in both groups. The acupoints within each CF were consistent between the groups. The mean values of the relative STAs across each CF were higher in the knee OA group. In the knee OA cases, no factors were observed to affect the relative STA, while age and gender were found to affect the absolute STA. CONCLUSION Among patients with knee OA, thermal sensitization occurs in the acupoints of the lower extremity, exhibiting localized and regional thermal consistencies. The thermally sensitized acupoints that we identified in this study, ST34, SP10, EX-LE2, EX-LE5, GB39 and BL40, may be good choices for the acupuncture treatment of knee OA. Please cite this article as: Tu JF, Wang XZ, Yan SY, Wang YR, Yang JW, Shi GX, Zhang WZ, Jing LN, Yang LS, Liu DH, Wang LQ, Mi BH. Thermal sensitization of acupoints in patients with knee osteoarthritis: A cross-sectional case-control study. J Integr Med. 2025; 23(3): 289-296.
Humans ; Osteoarthritis, Knee/physiopathology* ; Male ; Cross-Sectional Studies ; Middle Aged ; Female ; Acupuncture Points ; Case-Control Studies ; Aged ; Skin Temperature ; Acupuncture Therapy

Objective To compare the effects of three kinds of artificial hydronephrosis in percutaneous nephrolithotomy.Methods A total of 120 patients who underwent single-tract percutaneous nephrolithotomy in the Eighth Hospital of Wuhan from May 2020 to April 2022 were selected and divided equally into three groups according to different methods of artificial hydronephrosis.Patients in group A were received preoperative indwelling ureteral catheter and injection of normal saline through ureteral catheter to dilate renal pelvis and form artificial hydronephrosis.Patients in Group B were placed with double J catheters before surgery,and the bladder was filled with physiological saline through the catheter.The renal pelvis was dilated through the double J catheters,resulting in artificial hydronephrosis.Patients in Group C were received intravenous injection of furosemide and stimulated diuretic method to actively dilate renal pelvis to form hydronephrosis.The one-time puncture success rate,channel establishment time,overall operation time,stone clearance rate and incidence of surgical complications of percutaneous nephrolithotomy after hydronephrosis were compared among the three groups.Results The operation was successfully completed in the three groups.There was no significant difference in the one-time puncture success rate and channel establishment time between group A and group B(P>0.05),which were all higher than group C(P<0.05).The overall operation time of group B was shorter than that of group A and group C(P<0.05).There were no significant differences in stone clearance rate and surgical complications among the three groups(P>0.05).Conclusion Preoperative indwelling of double J tubes to create artificial kidney hydronephrosis has advantages such as high success rate of one-time puncture,short channel establishment time,and surgical time.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To develop a Traditional Chinese Medicine(TCM)syndrome diagnosis scale suitable for evaluating the overall health status of participants in long-term simulated weightlessness experiments,and preliminarily evaluate its reliability and validity.Methods Based on the understanding of the pathogenesis of TCM in different stages of long-term manned spaceflight,a scale was developed through literature research and expert consultation.Test-retest reliability and internal consistency coefficient were used to test the reliability of the scale.Item analysis and factor principal component analysis were used to evaluate the validity of the scale,and a rotating component matrix was used to analyze the correlation between each item and dimension using 36 volunteers in a 90 days head down bed rest experiment as the research subjects.Results The scale contains eight dimensions and 57 items.The reliability analysis showed that the correlation coefficient of the total score of the scale for the first and second tests of 30 participants was 0.889,indicating high stability of the scale.The Cronbach coefficient of the scale was 0.934,indicating very good internal consistency.The split half reliability after correction was 0.858,indicating a high reliability of the scale.The validity analysis showed that the difference between the high score group and the low score one for each of the 57 items was statistically significant(P<0.01),and the Pearson correlation coefficient between each item and the total score of the scale was greater than 0.4(P<0.001).The cumulative contribution rate of 8 common factors extracted using principal component factor analysis was 55.293%,and the results of rotating component matrix analysis,after applying TCM theory and expert feedback,had a coincidence of up to 87.5%with the initial 8 dimensions,indicating good structural validity of the scale.Conclusion The scale has good reliability and validity,and can diagnose TCM syndromes.It is suitable for long-term simulated weightlessness experiment and provides an objective and quantitative new method for evaluating the subjective feelings of participants.

Objective To explore the effects of circ_100284 in affecting the invasion of esophageal squamous cell carcinoma(ESCC)cells and their sensitivity to 5-fluorouracil(5-FU)chemotherapy via regulating miR-217/mitogen-activated protein kinase 1(MAPK1)acting as a competing endogenous RNA(ceRNA).Methods The bioinformatics approach was used to analyze the differentially expressed circRNAs in ESCC.qRT-PCR was used to detect the expression of circ_100284 in ESCC tissues and cells.The 5-FU-resistant KYSE450 cell line(KYSE45-R)was established by increasing concentrations of 5-FU.The IC50 of 5-FU in KYSE450 and KYSE450-R cells was determined through MTT assay.qRT-PCR was used to detect the expression of circ_100284,miR-217,and MAPK1 mRNA in KYSE450 and KYSE450-R cells,while Western blotting detecting the protein expression of MAPK1.In the experiments with KYSE450-R cells,we set up the following groups:(1)blank group(without treatment),si-NC group(transfected with si-NC),si-circ_100284 group(transfected with si-circ_100284),pc-Control group(transfected with pc-Control),pc-circ_100284 group(transfected with pc-circ_100284),pc-circ_100284+mimic NC group(transfected with pc-circ_100284 and mimic NC),and pc-circ_100284+miR-217 mimic group(transfected with pc-circ_100284 and miR-217 mimic).These groups were subjected to MTT assay to detect cell viability,Transwell assay to detect cell invasion,and flow cytometry to detect cell apoptosis.(2)Blank group(without treatment),si-NC group(transfected with si-MAPK1 negative control),si-MAPK1 group(transfected with si-MAPK1),si-MAPK1+inhibitor NC group(transfected with si-MAPK1 and inhibitor NC),and si-MAPK1+miR-217 inhibitor group(transfected with si-MAPK1 and miR-217 inhibitor).We detected the mRNA and protein expression of MAPK1 using qRT-PCR and Western blotting.We evaluated cell viability using MTT assay,invasion with Transwell assay,and apoptosis by flow cytometry.circ_100284-WT or circ_100284-MUT reporter plasmids,as well as MAPK1-WT or MAPK1-MUT reporter plasmids,were co-transfected with miR-NC or miR-217 mimic into KYSE450-R cells for 48 h,and dual luciferase reporter assay was used to measure luciferase activity.Results The bioinformatics analysis revealed significant upregulation of circ_100284 in ESCC.Compared with adjacent normal tissues,the expression of circ_100284 in ESCC tissues is enhanced(P<0.05);compared with the HECC cells,the TE-11,ECA109 and KYSE450 ESCC cell lines showed enhanced expression of circ_100284(P<0.05).Compared with the KYSE450 cells,KYSE450-R cells demonstrated increased IC50 with enhanced expression of circ_100284 and MAPK1 but suppressed expression of miR-217(P<0.05).Compared with the si-NC group,the si-circ_100284 group demonstrated inhibited invasion and proliferation of cells with increased apoptosis(P<0.05).Compared with pc-Control group,the invasion and proliferation of cells in the pc-circ_100284 group are increased,and cell apoptosis is decreased(P<0.05).Over-expression of miR-217 reversed the malignant biological behavior of ESCC cells induced by pc-circ_100284(P<0.05).Compared with si-NC group,in the si-MAPK1 group,we observed decreased cell invasion and proliferation,and increased apoptosis(P<0.05),but miR-217 inhibitor reversed the effect of si-MAPK1 on the biological behavior of ESCC cells(P<0.05).The targeting relationship of circ_100284 and miR-217,miR-217 and MAPK1 is confirmed.Conclusion circ_100284 promotes ESCC cell invasion by regulating miR-217/MAPK1,inhibits the chemosensitivity of ESCC cells to 5-FU,and acts as a tumor-promoting factor in ESCC.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To build a data integration and sharing platform for healthcare consortiums to improve homogenized management and overall medical service of the regions.Methods The platform was developed with cloud architecture based on Hadoop,which used Java as the main development language and Apache HDFS and Apache MapReduce as the main underlying technologies.There were four core modules involved in the platform for data integration and governance,data resource warehousing,data service support and security docking center.Results The platform developed could be used for data integration and governance of healthcare consortiums,which provided application services for management,clinical diagnosis and treatment and scientific research to make full use of the data of healthcare consortiums.Conclusion The platform developed realizes data resource integration in healthcare consortiums,and contributes to data value release and information sharing and interconnection.[Chinese Medical Equipment Journal,2024,45(4):1-6]

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) infection posed a huge threat and burden to public healthcare in late 2022. Non-drug measures of traditional Chinese medicine (TCM), such as acupuncture, cupping and moxibustion, are commonly used as adjuncts in China to help in severe cases, but their effects remain unclear. OBJECTIVES: To observe the clinical effect of TCM non-drug measures in improving respiratory function and symptoms among patients with severe COVID-19. DESIGN, SETTING, PARTICIPANTS AND INTERVENTIONS: This study was designed as a multicenter, assessor-blind, randomized controlled trial. Hospitalized patients with COVID-19 were randomly assigned to the treatment or control group. The treatment group received individualized TCM non-drug measures in combination with prone position ventilation, while the control group received prone position ventilation only for 5 consecutive days. MAIN OUTCOME MEASURES: The primary outcome measures were the percentage of patients with improved oxygen saturation (SpO₂) at the end of the 5-day intervention, as well as changes of patients' respiratory rates. The secondary outcome measures included changes in SpO₂ and total score on the self-made respiratory symptom scale. The improvement rate, defined as a 3-day consecutive increase in SpO₂, the duration of prone positioning, and adverse events were recorded as well. RESULTS: Among the 198 patients included in the intention-to-treat analysis, 159 (80.3%) completed all assessments on day 5, and 39 (19.7%) patients withdrew from the study. At the end of the intervention, 71 (91%) patients in the treatment group had SpO₂ above 93%, while 61 (75.3%) in the control group reached this level. The proportion of participant with improved SpO₂ was significantly greater in the intervention group (mean difference [MD] = 15.7; 95% confidence interval [CI]: 4.4, 27.1; P = 0.008). Compared to the baseline, with daily treatment there were significant daily decreases in respiratory rates in both groups, but no statistical differences between groups were found (all P ≥ 0.05). Compared to the control group, the respiratory-related symptoms score was lower among patients in the treatment group (MD = -1.7; 95% CI: -2.8, -0.5; P = 0.008) after day 3 of treatment. A gradual decrease in the total scores of both groups was also observed. Thirty-one adverse events occurred during the intervention, and 2 patients were transferred to the intensive care unit due to deterioration of their illness. CONCLUSION: TCM non-drug measures combined with prone positioning can effectively treat patients with severe COVID-19. The combined therapy significantly increased SpO₂ and improved symptom scores compared to prone positioning alone, thus improving the patients' respiratory function to help them recover. However, the improvement rate did not differ between the two groups. TRIAL REGISTRATION Chinese Clinical Trial Registry (ChiCTR2300068319). Please cite this article as: Yin X, Jin Z, Li F, Huang L, Hu YM, Zhu BC, Wang ZQ, Li XY, Li JP, Lao LX, Mi YQ, Xu SF. Effectiveness and safety of adjunctive non-drug measures in improving respiratory symptoms among patients with severe COVID-19: A multicenter randomized controlled trial. J Integr Med. 2024; 22(6): 637-644.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Acupuncture Therapy/methods* ; China ; COVID-19/complications* ; Medicine, Chinese Traditional/methods* ; Moxibustion/methods* ; Oxygen Saturation ; Prone Position ; Respiration, Artificial ; Treatment Outcome

OBJECTIVE: To compare different methods for calculating sample size based on confidence interval estimation for a single proportion with different event incidences and precisions. METHODS: We compared 7 methods, namely Wald, AgrestiCoull add z2, Agresti-Coull add 4, Wilson Score, Clopper-Pearson, Mid-p, and Jefferys, for confidence interval estimation for a single proportion. The sample size was calculated using the search method with different parameter settings (proportion of specified events and half width of the confidence interval [ω=0.05, 0.1]). With Monte Carlo simulation, the estimated sample size was used to simulate and compare the width of the confidence interval, the coverage of the confidence interval and the ratio of the noncoverage probability. RESULTS: For a high accuracy requirement (ω =0.05), the Mid-p method and Clopper Pearson method performed better when the incidence of events was low (P < 0.15). In other settings, the performance of the 7 methods did not differ significantly except for a poor symmetry of the Wald method. In the setting of ω=0.1 with a very low p (0.01-0.05), failure of iteration occurred with nearly all the methods except for the Clopper-Pearson method. CONCLUSION Different sample size determination methods based on confidence interval estimation should be selected for single proportions with different parameter settings.
Confidence Intervals ; Sample Size ; Computer Simulation ; Monte Carlo Method ; Probability