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.

Objective To investigate the risk factors of mild cognitive impairment(MCI)in elderly pa-tients with hypertension.Methods 270 elderly hypertensive patients treated in the geriatrics department and cardiovascular department of our hospital from September 2023 to March 2024 were analyzed retrospectively.They were divided into hypertension group with MCI(n=142)and hypertension group without MCI(n=128)according to the score of the simple mental state examination(MMSE).The clinical data and laboratory indicators of the two groups were collected and compared.The risk factors of MCI in elderly hospitalized pa-tients with hypertension were analyzed by stepwise logistic regression,and the diagnostic efficiency was ana-lyzed by receiver operating characteristic(ROC)curve.Results The prevalence rate of MCI in elderly pa-tients with hypertension was 52.6％.The monofactor analysis showed that the two groups had different hy-pertension years,hypertension grade,education level,combined diabetes,fasting blood glucose(FBG),triglyc-eride(TG),high density lipoprotein-cholesterol(HDL-C),HDL-C/low density lipoprotein-cholesterol(LDL-C),neutrophil(NEU),lymphocyte(LYM),glycated hemoglobin(HbA1c),arteriosclerosis index(AI),atherogenic index of plasma(AIP)and lipid composite index(LCI),the differences were statistically signifi-cant(P＜0.05).Multivariate logistic regression results showed that hypertension grade(grade 3),diabetes melli-tus,NEU,HbA1c,LYM and AIP were the influencing factors for MCI in elderly hospitalized patients with hyperten-sion(P＜0.05).The area under the curve(AUC)of FBG,TG,HbA1c and AIP in the diagnosis of hypertension com-bined with MCI were 0.801,0.743,0.889 and 0.804,respectively.Conclusion Early management and intervention can be carried out on the influencing factors of MCI in elderly patients with hypertension.

On the basis of that the fluorescence wavelength of copper nanoclusters(CuNCs)could cover the entire visible region,multicolor fluorescent CuNCs/starch composites were prepared and applied in fingermark development.With L-glutathione as the reducing agent and protective ligand,blue emissive and orange emissive CuNCs solutions were obtained in alkaline solutions at 90℃and 25℃,respectively.With the aggregation-induced emission effect induced by ethanol as a poor solvent,the fluorescence of orange emissive CuNCs with a higher intensity was achieved in an ethanol-water solution.With ascorbic acid as the reducing agent and 3-mercaptopropionic acid as the protective agent,green emissive CuNCs solution was prepared in an acid solution.Particle morphologies,chemical compositions and optical properties of these three CuNCs above were investigated using physical characterization and spectroscopic analysis,indicating that well-dispersed CuNCs had excellent photoluminescent properties.These CuNCs solutions were combined with starch to form composite powders by simply drying.The influences of the type of CuNCs and the ratio of CuNCs to starch on the emission wavelength and fluorescence intensity of the products were studied.The obtained CuNCs/starch composites could emit blue,green and orange fluorescence under 365 nm ultraviolet light,respectively,which were suitable for fingermark development.Minutiae and partial level-3 features of latent fingermarks could be effectively developed.High-quality fluorescence fingermark images would be captured using appropriate optical filters to eliminate background interference of various substrates.

Objective To investigate the predictive value of serum vasoactive intestinal peptide(VIP)and 5-hydroxytryptamine(5-HT)levels on the outcome of spinal cord electrical stimulation(SCS)in patients with postherpetic neuralgia(PHN).Methods A total of 96 PHN patients who received SCS treatment in Ziy-ang Central Hospital from January 2022 to December 2023 were selected.According to the disease outcomes of all PHN patients after 6 months of treatment,a good group(n=71)and a poor group(n=25)were set up.The clinical data of the two groups were collected and the serum VIP and 5-HT levels were detected in all pa-tients before treatment.The predictive value of serum VIP and 5-HT on disease outcome after SCS treatment in PHN patients was evaluated by receiver operating characteristic(ROC)curve,and the influencing factors of disease outcome after SCS treatment in PHN patients was explored by multivariate Logistic steppe gression a-nalysis.Results The levels of serum VIP and 5-HT in poor group were higher than those in good group(P＜0.05).The area under the curve(AUC)of serum VIP and 5-HT for predicting the disease outcome of PHN patients after SCS treatment were 0.829(95％CI:0.779-0.874)and 0.743(95％CI:0.693-0.793),respec-tively,and the AUC of combined prediction was 0.941(0.891-0.986).There were no significant differences in age,gender,body moss index,education,location of onset,hypertension and drinking history between the two groups(P＞0.05).The time of initial hospital admission in the poor group was longer than that in the good group,skin rash area in the poor group was larger than that in the good group,and diabetes mellitus and smoking history in the poor group were higher than those in the good group(P＜0.05).The time of admis-sion for initial treatment＞3 d(OR=2.188,95％CI:1.383-3.461),skin rash area＞10 cm2(OR=2.018,95％CI:1.283-3.173),diabetes mellitus(OR=2.264,95％CI:1.379-3.717),serum VIP level ≥41.78 ng/L(OR=3.022,95％CI:1.685-5.420),serum 5-HT level ≥99.27 ng/mL(OR=3.579,95％CI:1.885-6.793)were the influencing factors of disease outcome after SCS treatment in PHN patients(P＜0.05).Con-clusion The elevated levels of serum VIP and 5-HT before treatment are associated with poor outcomes after SCS in patients with PHN,and could be used as potential markers to predict the outcomes of SCS in patients with PHN.

Objective To assess the efficacy of a novel inguinal tourniquet in healthy individuals and to investigate the relationship between localized inguinal compression and femoral artery blood flow occlusion.Methods A self-controlled study was conducted.From November 9 to November 30,2024,11 volunteers were recruited at the Third Medical Center of Chinese PLA General Hospital.Three compression methods--finger pressure,a novel groin tourniquet,and a SAM junction tourniquet(SJT)—were applied bilaterally to the inguinal region until distal blood flow signals disappeared.Each compression method was tested in 22 trials with a 5-minute interval between operations.Differences in hemostatic efficacy between bilateral inguinal regions and across compression methods were compared.Subsequently,the novel tourniquet was incrementally pressurized in 120 mmHg multiples using an integrated pressure device to analyze trends in popliteal artery blood flow velocity.Observational indicators included the internal pressure of the tourniquet pressurization device,peak systolic velocity(PSV)of popliteal artery,inguinal surface pressure magnitude,inguinal surface pressure distribution,and pain scores(assessed using a single-dimensional numerical rating scale).Results No statistically significant difference was observed in the minimum pressure required to occlude femoral artery blood flow bilaterally(P>0.05).The success rates of femoral artery blood flow occlusion at the inguinal region were 100%for the novel inguinal tourniquet,SJT,and finger pressure.The novel inguinal tourniquet induced the highest pain scores,ranging from 5 to 8.A significant reduction in PSV of popliteal artery was noted when the intra-tourniquet pressure reached 360 mmHg and 480 mmHg(P<0.05),with a 95%hemostasis efficacy observed within the range of 360-600 mmHg.No significant association was observed between the recovery of popliteal artery blood flow after limb movement and inguinal pressure distribution(P>0.05).The PSV of popliteal artery exhibited the strongest negative correlation with the average pressure within the inguinal compression area(r=-0.79,P<0.001),with a linear regression fitting line of y=69.69-0.13x(P<0.001,R2=0.58).Conclusions The novel inguinal tourniquet effectively occludes femoral artery blood flow within a pressure range of 360-600 mmHg,accompanied by moderate-to-severe pain.Its hemostatic mechanism mainly relies on increasing the mean pressure within the inguinal compression area.