Objective To investigate the impact of COVID-19 infection on the early clinical outcomes of patients undergoing valve replacement. Methods Perioperative data of patients who underwent single valve replacement at the Second Affiliated Hospital of Chinese People's Liberation Army Medical University from January to February 2023 were consecutively collected. Based on COVID-19 infection status, patients were divided into a COVID-19 group and a non-COVID-19 group. The perioperative data were compared between the two groups. Results A total of 136 patients were included, comprising 53 males and 83 females, with a mean age of (53.4±10.2) years. There were 32 patients receiving aortic valve replacements, 102 mitral valve replacements, and 2 tricuspid valve replacements. The COVID-19 group comprised 70 patients, and the non-COVID-19 group included 66 patients. No statistical difference was observed in the incidence of postoperative complications between the two groups [9.09% (6/66) vs. 11.43% (8/70), P=0.654]. However, the COVID-19 group had longer postoperative mechanical ventilation duration [1 201.00 (1 003.75, 1 347.75) min vs. 913.50 (465.50, 1 251.00) min, P=0.001] and ICU stay [3 (2, 3) days vs. 2 (2, 3) days, P<0.001] compared to the non-COVID-19 group. Additionally, troponin I [4.76 (2.55, 7.93) ng/mL vs. 2.66 (1.19, 5.65) ng/mL, P=0.001] and brain natriuretic peptide [608.50 (249.75, 1 150.00) pg/mL vs. 192.00 (100.93, 314.75) pg/mL, P<0.001] levels were significantly higher in the COVID-19 group. Conclusion For patients with single valve disease undergoing elective surgery, short-term outcomes after recovery from COVID-19 infection are favorable, with no significant increase in in-hospital mortality or postoperative complication rates.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To study the pharmacokinetic characteristics of etoricoxib tablets in healthy Chinese subjects and to evaluate the bioequivalence and safety of the test and reference formulations.Methods In a randomised,single-dose,two-period,two-sequence crossover trial,28 healthy subjects were enrolled under the fasting and fed conditions,respectively,who received a single oral dose of 60 mg of etoricoxib tablets in the test or reference formulation.The concentration of etoricoxib in plasma was detected by LC-MS/MS,and the main pharmacokinetic parameters were calculated to evaluate bioequivalence and using WinNonlin 8.2 software.Results The main pharmacokinetic parameters of the test and reference preparations were as follows:The fasting condition Cmax of etoricoxib were(1 176.96±287.95)and(1 164.93±189.65)ng·mL-1;AUC0-t were(18 651.95±6 100.27)and(19 241.39±6 107.48)ng·h·mL-1;and AUC0-∞ were(19 939.15±7 553.27)and(20 536.31±7 223.40)ng·h·mL-1.The fed condition Cmax of etoricoxib were(913.50±184.72)and(878.59±164.35)ng·mL-1;and AUC0-t were(19 085.22±5 155.01)and(18 669.54±4 508.21)ng·h·mL-1;AUC0-∞ were(20 103.77±5 567.02)and(19 528.05±4 989.74)ng·h·mL-1.The 90％confidence intervals for the geometric mean ratios of the main pharmacokinetic parameters in the fasting and fed conditions fell between 80.00％and 125.00％.The incidence of adverse events in the fasting and fed conditions were 28.57％and 21.43％,respectively.Conclusion Two kinds of etoricoxib tablets are bioequivalent,and have similar safety in healthy Chinese subjects.

Objective To study the effect of Hedysarum polysaccharides(HPS)on the expression of transforming growth factor-β,(TGF-β1),smad homologue 3 recombinant protein(smad3)and smad7 in renal tissue of db/db mice with diabetic nephropathy(DN).Methods According to their body weight,6-week-old male db/db mice were randomly divided into 5 groups:model group(0.9％NaCl 0.2 mL·d-1),positive control group(22.75 mg·kg-1·d-1 irbesartan)and experimental-H,-M,-L groups(200,100,50 mg kg-1·d-1 HPS),with 10 mice in each group;another 10 SPF grade male C57BL/6 mice of the same week were selected as normal group(0.9％NaCl 0.2mL·d-1).The mice in the 6 groups were given intragastric administration once a day for 12 weeks.The blood glucose concentration of mice was measured before treatment and at the 4th,8th and 12th week after treatment.The expression levels of TGF-β1,smad3 and smad7 were detected by Western blotting.Results After treatment,the blood glucose levels of the model group was significantly higher than those of the normal group(all P＜0.01);compared with the model group,the levels of blood glucose in the experimental-H,-M groups decreased significantly,and the differences were statistically significant(P＜0.05,P＜0.01).The relative expression levels of TGF-β,protein in normal group,model group,positive control group and experimental-H,-M groups were 0.71±0.16,1.66±0.18,1.00±0.17,0.88±0.15 and 1.23±0.15;the relative expression levels of smad3 protein were 0.89±0.32,2.26±0.35,1.24±0.31,1.05±0.30 and 1.67±0.35;the relative expression levels of smad7 protein were 1.66±0.03,0.60±0.03,1.10±0.07,1.48±0.08 and 0.97±0.09;there were statistically significant differences between the experimental-H,-M groups and the model group(P＜0.05,P＜0.01).Conclusion Hedysarum polysaccharides can improve renal fibrosis and delay the development of diabetic nephropathy by regulating the level of blood glucose,inhibiting TGF-β1,smad3 and increasing the expression of smad7.

Objective To construct trajectory models of care-seeking patterns for type 2 diabetes mellitus(T2DM)patients,analyze the influencing factors of different trajectories,and explore the fasting blood glucose control levels of T2DM patients with different trajectories.Methods A retrospective cohort study was carried out on 18088 T2DM patients who had health records and been involved in the diabetic management in Community Health Service Center of Minhang District,Shanghai from 2006 to 2009.Starting from Jan 1,2010,participants were followed up until Dec 31,2019,with complete follow-up information.Group-based trajectory modelling(GBTM)was employed to identify and construct the fluctuation trajectory of fasting blood glucose in the patients.Bayesian information criterion(BIC),average posterior probability(AvePP)and other evaluation indicators were used to select the optimum subgroup number model.Then the differences in demographic characteristics,health status,family history,fasting blood glucose,BMI,etc were compared among different categories.Multinational logistic regression model was constructed to explore the influencing factors of different fluctuation trajectories.Cox regression analysis was used to examine the relationship between the long-term trajectories of care-seeking patterns and fasting blood glucose control level.Results Using GBTM analysis,we constructed the optimal Model 4 to categorize 18088 T2DM patients with community health records into five distinct trajectory subgroups:continuous non-attendance group(22.29%),low-level increasing group(15.09%),high-level slowly decreasing group(14.18%),high-level rapidly decreasing group(14.90%),and continuous regular attendance group(33.54%).With the continuous regular attendance group serving as the reference,gender,age,place of residence,baseline comorbidity of hypertension,baseline fasting plasma glucose level,and BMI were found to influence the community attendance trajectories of T2DM patients(P<0.05).After adjusting for confounding factors,Cox regression analysis revealed that compared to the continuous non-attendance group,the low-level increasing group,high-level slowly decreasing group,and continuous regular attendance group had better glycemic control,with HRs of 0.37(95%CI:0.34-0.39),0.72(95%CI:0.67-0.78),and 0.78(95%CI:0.73-0.84),respectively.The glycemic control level in the high-level rapidly decreasing group was comparable,with an HR of 1.06(95%CI:0.99-1.12).Conclusion Based on the optimal model,the community medical treatment trajectories of T2DM patients showed different dynamic characteristics.Factors such as gender,residence,hypertension,and weight loss may influence these varying trajectories.Regular community visits and follow-up may help control blood glucose levels.

Objective To assess the effectiveness and safety of combining methylprednisolone with myco-phenolate mofetil in managing moderate to severe active Graves'ophthalmopathy(GO),and to compare its efficacy against methylprednisolone monotherapy.Methods A retrospective study was conducted to select patients with moderate to severe active GO who received treatment at the Department of Endocrinology and Metabolism,Guizhou Medical University Affiliated Hospital,from January 2019 to January 2024.The patients were divided into two groups:a combination group receiving methylprednisolone combined with mycophenolate mofetil,and a mono-therapy group receiving methylprednisolone alone.The objective was to compare changes in visual score,appearance score,clinical activity score(CAS),eye protrusion,eye fissure width,and eye movement between the two groups of patients while documenting any adverse events.Results A total of 98 patients were enrolled in the study,comprising 32 patients in the combination group and 61 patients in the monotherapy group.Both groups exhibited improvements in quality of life scores,CAS,and degree of protrusion following treatment compared to baseline.However,at the end of the 12-week treatment period,there was no statistically significant difference(P>0.05)observed between the two groups regarding changes in visual scores,appearance scores,CAS,protrusion degree,fissure width,and proportion of reduced eye movement before and after treatment.Notably though,the combined therapy group demon-strated a significantly higher improvement rate for pain relief and reduction of eyelid congestion during eye movement when compared to the monotherapy group(P<0.001).At the endpoint of treatment,there were no statistically significant differences in appearance score,protrusion degree,tear width,and reduction in eye movement between the two groups before and after treatment(P>0.05).The combination group exhibited higher visual scores and greater improvement in CAS compared to the monotherapy group(P<0.05),along with a higher rate of eyelid edema improvement(P<0.05).At 12 weeks,the monotherapy group had an effective rate of 65.0%,while the combination group had an effective rate of 66.7%.By week 24,the combined group achieved an effective rate of 80.0%.The over-all effectiveness at week 12 and treatment endpoints did not show any statistically significant differences between the two groups(P>0.05).No cases of leukopenia or severe infection occurred in the combination group.Conclusions The combination therapy of methylprednisolone and mycophenolate mofetil demonstrates efficacy,tolerability,and safety in the treatment of moderate to severe active GO.While the overall effectiveness of this combination may not surpass that of hormone therapy alone,it exhibits potential superiority in improving visual scores,eyelid congestion,eyelid edema,and eye movement pain when compared to hormone therapy alone.

Objective To analyze the safety of idarubicin or daunorubicin combined with cytarabine in the treatment of patients with acute myeloid leukemia.Methods The Chinese Biomedical Database,Chinese Journal Full-text Database,Chinese Science and Technology Journal Full-text Database,Wanfang Database,Embase,PubMed,Cochrane Library were searched.The randomized controlled trials(RCTs)of idarubicin combined with cytarabine(treatment group)and daunorubicin combined with cytarabine(control group)were collected.The search time was from 2014-01-01 to 2024-02-23.RevMan 5.4 software was used to perform meta-analysis,sensitivity analysis and publication bias analysis on adverse drug reactions of the included studies.Results A total of 11 RCTs involving 1 818 patients were included in the Meta-analysis.The treatment and control groups were enrolled 912 and 906 cases,respectively.The results of meta-analysis showed that the total incidence of adverse drug reactions in the treatment group and the control group was 22.9％(56 cases/245 cases)and 42.9％(105 cases/245 cases),respectively,and the difference was statistically significant[relative risk(RR)=0.53,95％confidence interval(CI)=0.41-0.69,P＜0.001)].In the specific adverse drug reactions,there were no statistically significant differences in the incidence of hematological toxicity,digestive system toxicity,cardiac toxicity,liver and kidney toxicity,infection,bleeding between the two groups(all P＞0.05).Sensitivity analysis showed that the results were stable and reliable.The results of publication bias analysis showed that this study was less likely to have publication bias.Conclusion The incidence of adverse drug reactions of idarubicin combined with cytarabine in the treatment of patients with acute myeloid leukemia is significantly lower than that of daunorubicin combined with cytarabine,so the former has better safety.

Objective To observe the clinical effect of PENG's tendon-separating tuina therapy combined with lateral needling technique for meridian sinew in the treatment of acute scapulohumeral periarthritis(referred to as frozen shoulder),and to provide therapeutic ideas and evidence for the treatment of acute scapulohumeral periarthritis.Methods Sixty patients with acute scapulohumeral periarthritis were randomly divided into treatment group and control group,with 30 cases in each group.The control group was treated with lateral needling technique for meridian sinew,and the treatment group was treated with PENG's tendon-seperating tuina therapy combined with lateral needling technique for meridian sinew.Both groups were treated for once a day,10 times as a course of treatment,and for a total of 2 courses of treatment.The changes of pain Visual Analogue Scale(VAS)score and Constant-Murley Scale(CMS)score of shoulder joint function in the two groups were observed before treatment and after one and two course(s)of treatment.Moreover,the clinical efficacy of the two groups was evaluated.Results(1)After two courses of treatment,the total effective rate of the treatment group was 90.00%(27/30),and that of the control group was 73.30%(22/30).The overall efficacy(tested by rank sum test)and total effective rate(tested by chi-square test)of the treatment group were significantly superior to those of the control group,and the differences were statistically significant(P＜0.05).(2)After one and two course(s)of treatment,the VAS scores of pain in the two groups were significantly decreased than those before treatment(P＜0.05 or P＜0.01);after two courses of treatment,VAS scores in the two groups were significantly lower than those after one course of treatment(P＜0.05).The decrease of VAS scores in the treatment group after one and two course(s)of treatment was significantly superior to that in the control group,and the difference were statistically significant(P＜0.05 or P＜0.01).(3)After one and two course(s)of treatment,the CMS scores of shoulder joint function in the two groups were significantly higher than those before treatment(P＜0.01);after two courses of treatment,the CMS scores in the two groups were higher than those after one course of treatment(P＜0.05).The increase of CMS scores in the treatment group after one and two course(s)of treatment was significantly superior to that in the control group,and the difference was statistically significant(P＜0.01).Conclusion PENG's tendon-separating tuina therapy combined with lateral needling technique for meridian sinew has a definite clinical effect in the treatment of patients with acute scapulohumeral periarthritis,which can effectively relieve the pain and discomfort of shoulder joint and improve the movement function of shoulder joint.

Objective To investigate the role and underlying mechanisms of miR-34a/SIRT1 in intensive care unit acquired weakness(ICU-AW).Methods(1)C2C12 mouse skeletal muscle cells were induced to differentiate into myotubes,and were divided into two groups:model group[ICU-AW group,treated with lipopolysaccharides(LPS)for 12 hours]and normal control group(treated with the same amount of sterile water for 12 hours).Western blotting was used to detect the protein expression level of Muscle ring finger 1(MuRF-1),atrophy gene 1(Atrogin-1)and Sirtuin-1(SIRT1).RT-qPCR was used to assess the mRNA expression level of microRNA-34a(miR-34a),MuRF-1,Atrogin-1 and SIRT1,and light microscope was used to observe the growth and differentiation of C2C12 skeletal muscle cells in each group.(2)ICU-AW cells were further subdivided into control group(treated with siRNA transfection agent intervention),Scra siRNA group(treated with transfection agent and non-specific siRNA),miR-34a siRNA group(treated with transfection agent and specific siRNA intervention),vehicle group(treated with agonist solvent dimethyl sulfoxide)and SRT1720 group(treated with SIRT1 agonist SRT1720).Western blotting was used to detect the protein expression level of SIRT1,Atrogin-1 and MuRF-1 in each group.RT-qPCR was used to detect the miR-34a and the mRNA expression level of SIRT1,Atrogin-1 and MuRF-1 in each group.(3)In addition,another group of ICU-AW cells were divided into control group(treated with siRNA transfection),miR-34a siRNA group(treated with transfection agent and specific siRNA intervention),miR-34a siRNA+vehicle group(treated with transfection agent,specific siRNA and Dimethyl sulfoxide intervention)and miR-34a siRNA+EX-527 group(treated with transfection agent,specific siRNA and SIRT1 inhibitor EX-527).Western blotting was used to detect the protein expression level of Atrogin-1 and MuRF-1.RT-qPCR was used to assess the mRNA expression level of Atrogin-1 and MuRF-1.Results Myotube differentiation was observed on the 4th day.Compared with control group,myotube atrophy was obvious in ICU-AW group.RT-qPCR and Western blotting results revealed that,compared with normal control group,in ICU-AW group,the mRNA and protein expression levels of Atrogin-1 and MuRF-1 significantly increased(P＜0.05),and the expression level of miR-34a significantly increased(P＜0.05),while the mRNA and protein expression levels of SIRT1 significantly decreased(P＜0.05).RT-qPCR results showed that,compared with control group(treated with siRNA transfection agent intervention)and Scra siRNA group,the expression of miR-34a and mRNA expression of Atrogin-1 and MuRF-1 in miR-34a siRNA group significantly decreased(P＜0.05),while the mRNA expression of SIRT1 significantly increased(P＜0.05),meanwhile the protein expression of Atrogin-1 and MuRF-1 decreased significantly(P＜0.01),and the protein expression of SIRT1 significantly increased(P＜0.05).RT-qPCR results also showed that,compared with vehicle group,the mRNA expression of Atrogin-1 and MuRF-1 in SRT1720 group decreased significantly(P＜0.05),while SIRT1 increased significantly(P＜0.05).Western blotting results demonstrated that,compared with control group and Scra siRNA group,the protein expression of Atrogin-1 and MuRF-1 in miR-34a siRNA group decreased significantly(P＜0.05),while SIRT1 increased significantly(P＜0.05).RT-qPCR and Western blotting results indicated that,compared with miR-34a siRNA+vehicle group,the mRNA and protein expression of Atrogin-1 and MuRF-1 in miR-34a siRNA+EX-527 group increased significantly(P＜0.05).Conclusion Overactivation of miR-34a in ICU-AW contributes to skeletal muscle atrophy by inhibiting the expression of SIRT1,which may play an important role in the pathogenesis of ICU-AW.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.