Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model-calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Humans ; Electroencephalography/methods* ; Meditation ; Calibration ; Neural Networks, Computer ; Brain/physiology* ; Rest/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

OBJECTIVE: Rheumatoid arthritis (RA) is a systemic autoimmune disease that affects the small joints of the whole body and degrades the patients' quality of life. Zhengqing Fengtongning (ZF) is a traditional Chinese medicine preparation used to treat RA. ZF may cause liver injury. In this study, we aimed to develop a prediction model for abnormal liver function caused by ZF. METHODS: This retrospective study collected data from multiple centers from January 2018 to April 2023. Abnormal liver function was set as the target variable according to the alanine transaminase (ALT) level. Features were screened through univariate analysis and sequential forward selection for modeling. Ten machine learning and deep learning models were compared to find the model that most effectively predicted liver function from the available data. RESULTS: This study included 1,913 eligible patients. The LightGBM model exhibited the best performance (accuracy = 0.96) out of the 10 learning models. The predictive metrics of the LightGBM model were as follows: precision = 0.99, recall rate = 0.97, F1_score = 0.98, area under the curve (AUC) = 0.98, sensitivity = 0.97 and specificity = 0.85 for predicting ALT < 40 U/L; precision = 0.60, recall rate = 0.83, F1_score = 0.70, AUC = 0.98, sensitivity = 0.83 and specificity = 0.97 for predicting 40 ≤ ALT < 80 U/L; and precision = 0.83, recall rate = 0.63, F1_score = 0.71, AUC = 0.97, sensitivity = 0.63 and specificity = 1.00 for predicting ALT ≥ 80 U/L. ZF-induced abnormal liver function was found to be associated with high total cholesterol and triglyceride levels, the combination of TNF-α inhibitors, JAK inhibitors, methotrexate + nonsteroidal anti-inflammatory drugs, leflunomide, smoking, older age, and females in middle-age (45-65 years old). CONCLUSION This study developed a model for predicting ZF-induced abnormal liver function, which may help improve the safety of integrated administration of ZF and Western medicine. Please cite this article as: Yu Z, Kou F, Gao Y, Lyu CM, Gao F, Wei H. A machine learning model for predicting abnormal liver function induced by a Chinese herbal medicine preparation (Zhengqing Fengtongning) in patients with rheumatoid arthritis based on real-world study. J Integr Med. 2025; 23(1): 25-35.
Humans ; Arthritis, Rheumatoid/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Middle Aged ; Male ; Retrospective Studies ; Machine Learning ; Adult ; Aged ; Liver/physiopathology* ; Alanine Transaminase/blood*

OBJECTIVE: This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies. METHODS: Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model. RESULTS: A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide. CONCLUSION High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology* ; China/epidemiology* ; Humans ; Risk Factors ; Spatio-Temporal Analysis ; Air Pollutants/analysis* ; Socioeconomic Factors ; Bayes Theorem ; Female ; Male ; Middle Aged

Objective: To investigate the potential efficacy and safety of Lutai Danshen Baishao granules (LDBG) for treating female melasma associated with kidney deficiency and blood stasis patterns. Methods: A randomized, double-blind, placebo-controlled trial was conducted at the Third Central Hospital of Tianjin, China from March to December 2023. A total of 110 female patients with melasma linked to kidney deficiency and blood stasis were enrolled and treated with either LDBG or a placebo twice daily for 60 days. Efficacy was assessed through measures such as the total melasma area, reduced melasma area, reduction rate of melasma area, melasma color score, Melasma Area and Severity Index (MASI) score, and traditional Chinese medicine (TCM) symptom score scale. Safety assessments included routine blood and biochemical tests. Results: Participants in both groups were aged 52–63 years, with no significant differences. After the 2-month intervention, the total melasma area decreased in both groups; however, a greater reduction was observed in the test group [462.50 mm2 (12.81%) vs. 100.00 mm2 (3.11%), P < .001]. Moreover, LDBG treatment significantly reduced the MASI and melasma color scores in the test group (P < .05). The total TCM symptom evaluation score significantly decreased (test group: 6.00 vs. placebo group: 7.00, P = .001), with significant relief in symptoms such as improvement in dark lips, nails, and waist soreness in the test group, compared with that in the placebo group (P < .05). Within-group comparisons revealed that TCM syndrome was significantly alleviated in the test group (P < .05). Conclusion LDBG intervention shows promising effectiveness in reducing female melasma and alleviating TCM syndromes.

ObjectiveTo investigate the effect of shikosin （SHI） on psoriasis （PSO） and explore the underlying mechanism via the cyclic guanosine monophosphate-adenosine monophosphate synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodHaCaT cells were classified into normal culture（Control）， a mixture of five proinflammatory cytokines（M5）， low-， medium-， and high-dose SHI （L-SHI， M-SHI， and H-SHI， respectively）， and SHI+ADU-S100 groups. The cells in the M5 group were stimulated with 10 μg·L^-1 interleukin （IL）-1α， IL-17， IL-22， tumor necrosis factor （TNF）-α， and oncostatin M （OSM） for 48 h. The cells in the L-SHI， M-SHI， and H-SHI groups were treated with 0.1， 1， 10 μmol·L^-1 SHI， respectively， on the basis of the treatment in the M5 group. The cells in the SHI+ADU-S100 group were treated with 10 μmol·L^-1 STING activator ADU-S100 on the basis of the treatment in the H-SHI group. The methyl thiazolyl tetrazolium （MTT） assay and colony formation assay were employed to examine the effect of SHI on the proliferation of HaCaT cells. The wound healing assay was employed to examine the effect of SHI on the migration of HaCaT cells. Flow cytometry was employed to detect the effect of SHI on the apoptosis of HaCaT cells. Enzyme-linked immunosorbent assay was employed to measure the levels of IL-1β， IL-6， IL-15， IL-23， and interferon-γ （IFN-γ） in HaCaT cells. Western blot was employed to determine the protein levels of cGAS and STING in HaCaT cells. ResultCompared with Control group， the M5 group showed decreased survival rate， colony formation， and would healing rate of HaCaT cells， increased apoptosis rate， elevated levels of IL-1β， IL-6， IL-15， IL-23， and IFN-γ， and up-regulated protein levels of cGAS and STING （P<0.01）. Compared with the M5 group， the L-SHI， M-SHI， and H-SHI groups showed increased survival rate， cell colony formation， and wound healing rate， decreased apoptosis rate， lowered levels of IL-1β， IL-6， IL-15， IL-23， and IFN-γ， and down-regulated protein levels of cGAS and STING （P<0.01）. Compared with the H-SHI group， the SHI+ADU-S100 group showed decreased survival rate， cell colony formation， and wound healing rate， increased apoptosis rate， risen levels of IL-1β， IL-6， IL-15， IL-23， and IFN-γ， and up-regulated protein levels of cGAS and STING （P<0.01）. ConclusionSHI can inhibit the inflammation in the cell model of PSO by inhibiting the cGAS/STING signaling pathway.

Objective:To explore the risk factors and protective factors for esophageal cancer, and provide strategies for prevention, clinical treatment and later-stage intervention.Methods:A total of 150 patients with pathologically confirmed esophageal cancer admitted to Nanjing Liuhe District People′s Hospital from July 2020 to February 2023 were selected as the observation group, and 150 non-tumor patients hospitalized in the department of orthopedics during the same period were selected as the control group. A questionnaire survey was conducted to analyze the independent risk factors and independent protective factors for esophageal cancer.Results:Univariate Logistic regression analysis showed that smoking, alcohol consumption, drinking hot tea (hot drinking >65 ℃), eating hard food, frequency of consuming pickled food, frequency of consuming fruits, frequency of consuming vegetables, frequency of getting angry, economic income and frequency of consuming bread were factors affecting the incidence of esophageal cancer ( P<0.05). Multivariate Logistic regression analysis showed that smoking, consuming fruits ≤3 times per week, previously drinking alcohol but currently not drinking, and not eating hard food were factors affecting the incidence of esophageal cancer ( P<0.05). Conclusions:Smoking and consuming fruits ≤3 times per week are independent risk factors for esophageal cancer, while previously drinking alcohol but currently not drinking and not eating hard food are independent protective factors for esophageal cancer.

Objective:To analyze the iodine nutritional status of children aged 8 - 10 in Tongren City, Guizhou Province, and provide a basis for scientific iodine supplementation for children.Methods:From 2020 to 2022, a systematic sampling method was adopted in 10 districts and counties of Tongren City. Each year, each district and county was divided into 5 districts based on east, west, south, north, and center. One township (street) was selected from each district, and 40 non boarding students aged 8 to 10 were selected from each township (street) to measure the iodine content of household salt and urine samples. The content of salt iodine in children of different yesas as well as the distribution of urine iodine in children of different districts and counties and different genders were analyzed and compared. Additionally, B-ultrasound was used to measure the thyroid volume of some children and the situation of thyroid enlargement was analyzed.Results:From 2020 to 2022, a total of 6 000 salt samples were collected and monitored from children's households, and 5 989 samples of iodized salt were detected, the coverage rate of iodized salt was 99.8%; and 5 750 samples of qualified iodized salt were found, the qualified rate of iodized salt was 96.0%, the consumption rate of qualified iodized salt was 95.8%; and the median salt iodine was 27.3 mg/kg, the difference in the median salt iodine among children between different years was statistically significant ( H = 10.04, P < 0.001). A total of 6 000 urine samples from children were tested, the median urinary iodine was 225.2 μg/L, the median urinary iodine among children in different districts and counties were statistically significantly different ( H = 85.73, P < 0.001); 3 077 male and 2 923 female urine samples were tested, and the median urinary iodine between different genders was statistically significant different ( Z = - 67.10, P < 0.001). The median urinary iodine of male samples were higher than those of female samples(227.8 vs 222.9 μg/L). The thyroid gland of 2 000 children was examined, and the rate of goiter was 1.0% (21/2 000). Conclusions:From 2020 to 2022, the consumption rate of qualified iodized salt, urinary iodine content and goiter rate of children in Tongren City have all met the national standard for eliminating iodine deficiency disorders. The overall iodine nutrition level exceeds the appropriate amount (urinary iodine of 200 - 299 μg/L).

Objective To detect the levels of serum collagen type Ⅰ alpha 1 chain(COL1A1)and collagen type Ⅰ alpha 2 chain(COL1A2)in patients with intracranial aneurysm(IA),and explore their correlations with aneurysm rupture.Methods A total of 110 IA patients admitted to our hospital were regarded as the IA group and another 100 volunteers who underwent physical examination in our hospital were regarded as the control group.The expression levels of serum COL1A1 and COL1A2 were detected by ELISA.The IA patients were divided into the ruptured group(n=66)and unruptured group(n=44)according to the presence or absence of aneurysm rupture,and the clinical data and expression levels of serum COL1A1 and COL1A2 were compared between the two groups.The expression levels of serum COL1A1 and COL1A2 in patients with different Hunt-Hess grades were compared.The risk factors of aneurysm rupture in patients with IA were analyzed by multivariate Logistic regression analysis.The predictive value of serum COL1A1 and COL1A2 for aneurysm rupture in patients with IA were evaluated by receiver operating characteristic(ROC)curve.The correlation of serum COL1A1 and COL1A2 with Hunt-Hess grade for patients in rupture group was analyzed by Spearman correlation analysis.Results The expression levels of serum COL1A1 and COL1A2 for patients in the IA group were significantly higher than those in the control group(P<0.05).The number of patients with hypertension,diabetes mellitus,hyperlipidemia,aneurysm diameter>10 mm,and the expression levels of serum COL1A1 and COL1A2 in the rupture group were significantly more/higher than those in the unruptured group(P<0.05).The expression levels of serum COL1A1 and COL1A2 in patients with Hunt-Hess grades from Ⅲ to Ⅳ were significantly higher than those in patients with grades from Ⅰ to Ⅱ(P<0.05).The expression levels of serum COL1A1 and COL1A2 for patients in the rupture group were positively correlated with Hunt-Hess grade(r=0.562,0.414,P<0.05).Multivariate Logistic regression analysis showed that hypertension,diabetes mellitus,aneurysm diameter>10 mm,and increased expression levels of COL1A1 and COL1A2 were risk factors for aneurysm rupture in IA patients(P<0.05).The area under the curve(AUC)of aneurysm rupture predicted by serum COL1A1 and COL1A2 together was significantly higher than that predicted by COL1A1 alone(Z=1.905,P=0.028)and COL1A2 alone(Z=1.754,P=0.040).Conclusion The increased expression levels of serum COL1A1 and COL1A2 are risk factors for aneurysm rupture in patients with IA,and their combined prediction of aneurysm rupture in IA patients has certain clinical value.