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: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

Objective:To investigate the personnel, equipment, new technology of various radiotherapy units in Gansu Province, aiming to deeply understand the current status of radiotherapy in Gansu Province.Methods:From March 2023 to March 2024, the data of personnel, equipment and technology of different radiotherapy units in Gansu Province were investigated via online questionnaire survey and offline field visits by Gansu Provincial Quality Control Center for Radiation Oncology. The questionable data were reviewed, logical verification and outlier identification were conducted, and all information was entered according to the principle of double entry. Qualitative data were described by frequency (percentage).Results:As of March 2024, there are 26 radiotherapy units in Gansu Province, including 7 units in Lanzhou, capital city of Gansu Province and none in Linxia Hui Autonomous Prefecture and Gannan Tibetan Autonomous Prefecture. The ratio of radiotherapy physicians and physicists was 2.71 vs. 1, lower than the national level of 3.51 vs. 1. Radiotherapy physicians with intermediate and senior titles accounted for 66.2%, 54% for physicists with intermediate and senior titles and 34.0% for therapists with intermediate and senior titles, respectively. There were 1.70 accelerators per million population in Gansu Province. Among 42 accelerators in Gansu Province, 40 were linac and 2 heavy ion accelerators. In Lanzhou, 7 radiotherapy units had 17 linac, and the remaining 11 cities had 23 linac. All 40 linac could perform 3D conformal radiotherapy and intensity-modulated radiotherapy. The high-end equipment could apply advanced technologies such as volumetric modulated arc radiotherapy, stereotactic body radiotherapy, optical surface-guided radiation therapy and adaptive radiation therapy, etc. Relevant data in this survey were improved compared with those in the national surveys conducted in 2006, 2015 and 2019. Conclusions:The radiotherapy status has developed in Gansu Province, whereas uneven development still exists among regions. According to the actual demands of equipment, talents and technology in each region, the structural adjustment should be oriented to the underdeveloped cities and counties in the province to meet the local medical needs.

Aim To investigate the effect of angioten-sin Ⅱ type 1a receptor(AT1aR)knockout on cardiac dysfunction in rats with obesity and its possible molecu-lar mechanism.Methods SD rats(n=24)were used to generated the whole-body AT1 aR-deficiency rats by sgRNA and the CRISPR/Cas9 system,and the obesity model was constructed by feeding with high-fat diet(HFD).They were divided into four groups:wildtype(WT)and knockout(KO)groups with nor-mal feeding and their respective high-fat diets groups.Color ultrasound diagnostic instrument was uses to e-valuate the cardiac function;oil red O staining was a-dopted to stain the myocardial lipids;RT-PCR was used to detect the levels of GPX4 and Ptgs2 genes in myocardial tissue.Western blot was employed to detect the expression of GPX4,ferritin,Nrf2,HO-1 and NQO1 in rat myocardial tissue.ELISA and other kits were used to determine the lipid contents in serum and myocardium.Results It was found that high-fat feed-ing caused cardiac dysfunction,serum lipid disorders,oxidative stress and ferroptosis in SD rats.However,these changes were attenuated in AT1aR knockout rats fed with high-fat diet.Furthermore,compared with WT-HFD group,KO-HFD rats showed enhanced acti-vation of the Nrf2/HO-1 pathway in the myocardium,reduced ferroptosis,decreased lipid accumulation,and reduced cardiac dysfunction.Conclusion AT1aR knockout can improve HFD-induced cardiac dysfunc-tion by enhancing antioxidant capacity and reducing the degree of ferroptosis.

Aim To investigate the effect of angioten-sin Ⅱ type 1a receptor(AT1aR)knockout on cardiac dysfunction in rats with obesity and its possible molecu-lar mechanism.Methods SD rats(n=24)were used to generated the whole-body AT1 aR-deficiency rats by sgRNA and the CRISPR/Cas9 system,and the obesity model was constructed by feeding with high-fat diet(HFD).They were divided into four groups:wildtype(WT)and knockout(KO)groups with nor-mal feeding and their respective high-fat diets groups.Color ultrasound diagnostic instrument was uses to e-valuate the cardiac function;oil red O staining was a-dopted to stain the myocardial lipids;RT-PCR was used to detect the levels of GPX4 and Ptgs2 genes in myocardial tissue.Western blot was employed to detect the expression of GPX4,ferritin,Nrf2,HO-1 and NQO1 in rat myocardial tissue.ELISA and other kits were used to determine the lipid contents in serum and myocardium.Results It was found that high-fat feed-ing caused cardiac dysfunction,serum lipid disorders,oxidative stress and ferroptosis in SD rats.However,these changes were attenuated in AT1aR knockout rats fed with high-fat diet.Furthermore,compared with WT-HFD group,KO-HFD rats showed enhanced acti-vation of the Nrf2/HO-1 pathway in the myocardium,reduced ferroptosis,decreased lipid accumulation,and reduced cardiac dysfunction.Conclusion AT1aR knockout can improve HFD-induced cardiac dysfunc-tion by enhancing antioxidant capacity and reducing the degree of ferroptosis.

Objective:To investigate the personnel, equipment, new technology of various radiotherapy units in Gansu Province, aiming to deeply understand the current status of radiotherapy in Gansu Province.Methods:From March 2023 to March 2024, the data of personnel, equipment and technology of different radiotherapy units in Gansu Province were investigated via online questionnaire survey and offline field visits by Gansu Provincial Quality Control Center for Radiation Oncology. The questionable data were reviewed, logical verification and outlier identification were conducted, and all information was entered according to the principle of double entry. Qualitative data were described by frequency (percentage).Results:As of March 2024, there are 26 radiotherapy units in Gansu Province, including 7 units in Lanzhou, capital city of Gansu Province and none in Linxia Hui Autonomous Prefecture and Gannan Tibetan Autonomous Prefecture. The ratio of radiotherapy physicians and physicists was 2.71 vs. 1, lower than the national level of 3.51 vs. 1. Radiotherapy physicians with intermediate and senior titles accounted for 66.2%, 54% for physicists with intermediate and senior titles and 34.0% for therapists with intermediate and senior titles, respectively. There were 1.70 accelerators per million population in Gansu Province. Among 42 accelerators in Gansu Province, 40 were linac and 2 heavy ion accelerators. In Lanzhou, 7 radiotherapy units had 17 linac, and the remaining 11 cities had 23 linac. All 40 linac could perform 3D conformal radiotherapy and intensity-modulated radiotherapy. The high-end equipment could apply advanced technologies such as volumetric modulated arc radiotherapy, stereotactic body radiotherapy, optical surface-guided radiation therapy and adaptive radiation therapy, etc. Relevant data in this survey were improved compared with those in the national surveys conducted in 2006, 2015 and 2019. Conclusions:The radiotherapy status has developed in Gansu Province, whereas uneven development still exists among regions. According to the actual demands of equipment, talents and technology in each region, the structural adjustment should be oriented to the underdeveloped cities and counties in the province to meet the local medical needs.

Objective:To construct an ensemble machine learning model for predicting the occurrence of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy and evaluate its application value.Methods:This is a research on predictive model. Clinical data of 421 patients undergoing pancreaticoduodenectomy in the Department of Pancreatic Surgery,Union Hospital, Tongji Medical College,Huazhong University of Science and Technology from June 2020 to May 2023 were retrospectively collected. There were 241 males (57.2%) and 180 females (42.8%) with an age of (59.7±11.0)years (range: 12 to 85 years).The research objects were divided into training set (315 cases) and test set (106 cases) by stratified random sampling in the ratio of 3∶1. Recursive feature elimination is used to screen features,nine machine learning algorithms are used to model,three groups of models with better fitting ability are selected,and the ensemble model was constructed by Stacking algorithm for model fusion. The model performance was evaluated by various indexes,and the interpretability of the optimal model was analyzed by Shapley Additive Explanations(SHAP) method. The patients in the test set were divided into different risk groups according to the prediction probability (P) of the alternative pancreatic fistula risk score system (a-FRS). The a-FRS score was validated and the predictive efficacy of the model was compared.Results:Among 421 patients,CR-POPF occurred in 84 cases (20.0%). In the test set,the Stacking ensemble model performs best,with the area under the curve (AUC) of the subject′s work characteristic curve being 0.823,the accuracy being 0.83,the F1 score being 0.63,and the Brier score being 0.097. SHAP summary map showed that the top 9 factors affecting CR-POPF after pancreaticoduodenectomy were pancreatic duct diameter,CT value ratio,postoperative serum amylase,IL-6,body mass index,operative time,albumin difference before and after surgery,procalcitonin and IL-10. The effects of each feature on the occurrence of CR-POPF after pancreaticoduodenectomy showed a complex nonlinear relationship. The risk of CR-POPF increased when pancreatic duct diameter<3.5 mm,CT value ratio<0.95,postoperative serum amylase concentration>150 U/L,IL-6 level>280 ng/L,operative time>350 minutes,and albumin decreased by more than 10 g/L. The AUC of a-FRS in the test set was 0.668,and the prediction performance of a-FRS was lower than that of the Stacking ensemble machine learning model.Conclusion:The ensemble machine learning model constructed in this study can predict the occurrence of CR-POPF after pancreaticoduodenectomy,and has the potential to be a tool for personalized diagnosis and treatment after pancreaticoduodenectomy.

Objective:To understand the breastfeeding situation in the neonatal intensive care units (NICUs) in Qianxinan Prefecture, Guizhou Province, and to assess the knowledge, attitudes, and practices of doctors and nurses regarding breastfeeding, aiming to provide foundational data for improving breastfeeding quality.Methods:A questionnaire was developed to survey the knowledge, attitudes, and practices related to breastfeeding in NICUs. The questionnaire was divided into three dimensions: knowledge (seven items, total score of 7), attitudes (nine items, total score of 45), and practices (seven items, total score of 35). Lower scores indicated weaker recognition of breastfeeding. Additionally, five items were included to identify the most influential factors affecting breastfeeding. From November 25 to November 30, 2023, a survey was conducted among doctors and nurses with professional qualifications who had worked in the neonatal departments of nine hospitals in Qianxinan Prefecture for at least one year. Independent sample t-tests and Chi-square tests were used to compare the scores of doctors and nurses from different levels of hospitals and within the same level of hospitals across the three dimensions. Results:(1) Among the nine hospitals, three were tertiary grade A hospitals (referred to as "tertiary hospitals"), with 95.6% (43/45) of the doctors and 96.5% (110/114) of the nurses participating in the survey. Six were secondary grade A hospitals (referred to as "secondary hospitals"), with 95.0% (38/40) of the doctors and 97.6% (83/85) of the nurses participating. (2) All nine hospitals were baby-friendly hospitals and all had breastfeeding promotional materials. Six hospitals had NICUs that promoted breastfeeding, with an average NICU breastfeeding rate of 25.8% across the prefecture between year 2021 to 2023. (3) The proportion of doctors who had received breastfeeding training was higher than that of nurses within the same level of hospitals [tertiary hospitals: 69.8% (30/43) vs. 40.0% (44/110), χ 2=10.97, P=0.001; secondary hospitals: 47.4% (18/38) vs. 24.1% (20/83), χ 2=6.55, P=0.010], although the overall training rates were low. (4) In tertiary hospitals, doctors scored higher than nurses in the attitude dimension [(35.35±4.75) vs. (33.18±5.60) scores, t=－2.03, P=0.044] and also in the practice dimension [(26.98±3.00) vs. (25.60±3.75) scores, t=－2.17, P=0.032]. In secondary hospitals, the total knowledge dimension score of doctors was higher than that of nurses [(4.92±1.44) vs. (4.20±1.45) scores, t=－2.52, P=0.013]. In tertiary hospitals, the total scores for attitude and practice dimensions of doctors were higher than those of doctors in secondary hospitals, and the total scores for knowledge, attitude, and practice dimensions of nurses were higher than those of nurses in secondary hospitals (all P<0.05). (5) In the knowledge dimension, the lowest scoring item of doctors in the tertiary hospitals was "Breastfeeding is possible for maternal hepatitis B newborns after receiving vaccines and immunoglobulin"; the lowest scoring item of nurses in the tertiary hospital, and doctors and nurses in the secondary hospitals was "The duration of breastfeeding has a greater impact on neonatal outcomes". In the attitude dimension, the lowest scoring item for doctors and nurses in both tertiary and secondary hospitals was "You think the breastfeeding process is more troublesome than feeding preterm formula". In the practice dimension, the lowest scoring item of the doctors and nurses in the tertiary hospitals was "Your hospital had enough breastfeeding knowledge training", while for the doctors and nurses in the secondary hospitals were "You have more opportunities to participate in various breastfeeding-related training" and "Breast feeding should be started as soon as possible when the infant is stable after active treatment", respectively. (6) The most influential factors affecting breastfeeding were: lack of cooperation from parents (50.0%, 137/274), relative insufficient human resources for doctors and nurses (21.9%, 60/274), and the absence or poor implementation of breastfeeding management policies (18.3%, 50/274), etc. Conclusions:The breastfeeding rate in NICU of county-level hospitals is relatively low, and medical staff, especially nurses, have insufficient knowledge about breastfeeding. It is necessary to strengthen various breastfeeding training for medical staff to enhance their understanding of NICU breastfeeding.

Intestinal dysbiosis and disrupted bile acid(BA)homeostasis are associated with obesity,but the precise mechanisms remain insufficiently explored.Hepatic protein phosphatase 1 regulatory subunit 3G(PPP1R3G)plays a pivotal role in regulating glycolipid metabolism;nevertheless,its obesity-combatting potency remains unclear.In this study,a substantial reduction was observed in serum PPP1R3G levels in high-body mass index(BMI)and high-fat diet(HFD)-exposed mice,establishing a positive correlation between PPP1R3G and non-12α-hydroxylated(non-12-OH)BA content.Additionally,hepatocyte-specific overexpression of Ppp1r3g(PPP1R3G HOE)mitigated HFD-induced obesity as evidenced by reduced weight,fat mass,and an improved serum lipid profile;hepatic steatosis alleviation was confirmed by normalized liver enzymes and histology.PPP1R3G HOE considerably impacted systemic BA homeostasis,which notably increased the non-12-OH BAs ratio,particularly lithocholic acid(LCA).16S ribosomal DNA(16S rDNA)sequencing assay indicated that PPP1R3G HOE reversed HFD-induced gut dysbiosis by reducing the Firmicutes/Bacteroidetes ratio and Lactobacillus population,and elevating the relative abundance of Blautia,which exhibited a positive correlation with serum LCA levels.A fecal microbiome transplantation test confirmed that the anti-obesity effect of hepatic PPP1R3G was gut microbiota-dependent.Mechanistically,PPP1R3G HOE markedly suppressed hepatic cholesterol 7α-hydroxylase(CYP7A1)and sterol-12α-hydroxylase(CYP8B1),and concurrently upregulated oxysterol 7-α hydroxylase and Takeda G protein-coupled BA receptor 5(TGR5)expression under HFD conditions.Furthermore,LCA administration significantly mitigated the HFD-induced obesity phenotype and elevated non-12-OH BA levels.These findings emphasize the significance of hepatic PPP1R3G in ameliorating diet-induced adiposity and hepatic steatosis through the gut microbiota-BA axis,which may serve as potential ther-apeutic targets for obesity-related disorders.

Linezolid,a fully synthetic oxazolidinone antibiotic,is mainly used to treat severe infections caused by Gram-positive drug-resistant bacteria.In recent years,with the rise in drug-resistant bacteria,the clinical utilization rate of linezolid and the incidence of linezolid-related adverse reactions in the hematological system and metabolic system have increased.The main adverse reactions include thrombocytopenia,anemia and lactic acidosis.Studies have shown that the causes of adverse reactions in linezolid-induced hematological system and metabolic system are diverse,and the mechanisms are not fully elucidated.In this review,the pharmacokinetic characteristics,mechanism of adverse reactions,risk factors,as well as preventive measures and individualized drug administration strategies of linezolid in vivo were discussed based on literature reports at home and abroad,aiming to provide references for clinical prevention and treatment of linezolid-related adverse reactions of hematological system and metabolic system.