Objective:To evaluate the validity and reliability of the Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS).Methods:Totally 188 patients with schizophrenia meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)diagnostic criteria were selected for SC-BCIS and the Insight and Treatment Attitudes Questionnaire(ITAQ)assessment.Thirty-eight patients were selected for retest-ing within 4 weeks.The item analysis was conducted using the Spearman correlation method,and the reliability of the scale was tested with Cronbach's α coefficient and ICC coefficient.The structural validity of the scale was ex-amined through principal component analysis and exploratory factor analysis.Results:The correlation coefficients between the 15 item scores and the total score of the SC-BCIS all met the screening criteria.The Cronbach's α coef-ficient of the scale was 0.69,the test-retest ICC value was 0.82,the ICC coefficient between the SC-BCIS and ITAQ scales was 0.83,and the scale had a two-factor structure,with a cumulative contribution rate of 42.4％for the two factors.Conclusion:The Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS)has good validity and reliability in measuring cognitive insight in patients with schizophrenia.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Objective:To evaluate the validity and reliability of the Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS).Methods:Totally 188 patients with schizophrenia meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)diagnostic criteria were selected for SC-BCIS and the Insight and Treatment Attitudes Questionnaire(ITAQ)assessment.Thirty-eight patients were selected for retest-ing within 4 weeks.The item analysis was conducted using the Spearman correlation method,and the reliability of the scale was tested with Cronbach's α coefficient and ICC coefficient.The structural validity of the scale was ex-amined through principal component analysis and exploratory factor analysis.Results:The correlation coefficients between the 15 item scores and the total score of the SC-BCIS all met the screening criteria.The Cronbach's α coef-ficient of the scale was 0.69,the test-retest ICC value was 0.82,the ICC coefficient between the SC-BCIS and ITAQ scales was 0.83,and the scale had a two-factor structure,with a cumulative contribution rate of 42.4％for the two factors.Conclusion:The Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS)has good validity and reliability in measuring cognitive insight in patients with schizophrenia.

Objective:To compare the sustained virological response (SVR) and viral recurrence in patients with chronic hepatitis C (CHC) after antiviral treatment, and to further analyze the influencing factors of liver-related events (LRE).Methods:This was a retrospective cohort study. A total of 1 844 CHC patients who visited the Department of Infectious Diseases of Hainan General Hospital from January 1st, 2013 to December 31st, 2022 were included. After screening, 891 patients were selected and divided into direct-acting antiviral agent (DAA) treatment group, interferon treatment group and non-antiviral treatment group based on different intervention measures. Propensity score matching was performed, and SVR and viral recurrence were compared among the three groups. Statistical analysis was performed using the chi-square test, and multivariate Cox regression analysis was used to evaluate the risk factors for LRE.Results:The confirmed CHC patients showed an increasing trend year by year (average annual change percentage=19.97%, 95% confidence interval ( CI) 10.46% to 30.30%, t=4.32, P<0.001). After propensity score matching, the total sample size of 891 CHC patients was 451, including 100 in the interferon treatment group, 311 in the DAA treatment group, and 40 in the non-antiviral treatment group. In the interferon treatment group, 89 cases (89.00%) achieved SVR and nine cases (9.00%) had recurrence. In the DAA treatment group, 306 cases (98.39%) achieved SVR and 10 cases (3.22%) had recurrence. The differences were statistically significant ( χ2=17.84 and 6.22, respectively, both P<0.05). Cox multivariate regression analysis showed that age (hazard ratio ( HR)=1.065, 95% CI 1.028 to 1.104, P<0.001), alcohol consumption ( HR=3.034, 95% CI 1.302 to 7.071, P=0.010) were independent risk factors for LRE in CHC patients, while albumin ( HR=0.858, 95% CI 0.802 to 0.917, P<0.001), DAA treatment ( HR=0.267, 95% CI 0.103 to 0.692, P=0.007) were protective factors. In CHC patients receiving antiviral treatment, diabetes ( HR=6.719, 95% CI 2.242 to 20.137, P<0.001), total bilirubin ( HR=1.111, 95% CI 1.054 to 1.171, P<0.001) and viral recurrence ( HR=4.646, 95% CI 1.322 to 16.321, P=0.017) were independent risk factors for LRE. Conclusions:Compared with interferon treatment, DAA treatment has a significantly higher SVR rate and a lower recurrence rate. Age and alcohol consumption are independent risk factors for LRE, while higher albumin levels and DAA treatment are protective factors. In CHC patients receiving antiviral treatment, diabetes, viral recurrence, and total bilirubin are independent risk factors for LRE.

Objective:To explore the influence of different scanning positions based on chest phantom of computed tomography(CT)scan on chest on image quality and radiation dose.Methods:A thermoluminescent dosimeter(TLD)was placed at the breast area of simulating anthropoid chest phantom.GE Revolution evo CT was used to conduct scan on the conventional supine position(supine group)and prone position(prone group)for chest phantom.Different noise indexes(NI=10-23)were adjusted to control ration doses,and other parameters were fixed,and each group collected 12 sequence images.The average value(AV),standard deviation(SD)of the CT scan at region of interest(ROI)under different scanning positions were recorded to calculate the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the image.The radiation dose at the breast area was measured by TLD,and the volume CT dose index(CTDIvol)and dose-length product(DLP)were recorded.Results:Under different scanning positions,the radiation dose of breast organs in the prone group was lower than that in the supine group,there was a statistically significant difference between the two groups(t=6.57,P<0.05),while there were not statistically significant differences in CTDIvol and DLP between the two groups(P>0.05).There were not statistically significant differences in the CT values,SD,SNR,CNR of lung tissue,and the CT values of breast tissue between the two groups of images(P>0.05).The SD,SNR and CNR of breast tissue in the prone group were lower than those in the supine group,and the differences were statistically significant(t=-13.33,-10.59,6.70,P<0.05).There were no statistically significant differences in the subjective scores of the clarity of the edge of the tissue within lung,the layers of soft tissue of the breast,noise,and artifacts in the bone tissue between the two groups of images(P>0.05).Conclusion:When low-dose CT physical examination on chest is conducted in clinical practice,the scanning of prone position during undergoing CT scan on chest can obtain image quality that can meet the requirements in diagnosing lung,and reduce the radiation dose on the breast,and conform to the technical principle of optimal radiation protection.

Objective:To explore the clinical application value of serum N-glycan profiles for evaluating the severity of liver tissue inflammation in patients with chronic hepatitis B (CHB).Methods:A total of 221 CHB patients who underwent liver biopsy at Mengchao Hepatobiliary Hospital of Fujian Medical University from January 2018 to December 2020 were retrospectively enrolled. The Scheuer scoring system was used to assess the histological inflammation grade of the liver tissue. Serum N-glycan levels were measured using DNA sequencer-assisted N-glycan fingerprinting (NGFP). Using the upper limit of the alanine aminotransferase (ALT) reference value (40 U/L) as a cutoff, logistic regression models were developed to construct diagnostic models under two scenarios: normal ALT or abnormal ALT. Models based on serum N-glycan levels and serum N-glycan levels combined with routine laboratory indicators, were used to non-invasively evaluation of various pathological grades of liver tissue inflammation in CHB patients. The DeLong test was used to compare the diagnostic efficacy of the models by analyzing the areas under the receiver operating characteristic curve (AUC). Glycosylation-related gene expression differences associated with varying degrees of liver inflammation were analyzed using the Gene Expression Omnibus (GEO) database.Results:In CHB patients with normal ALT level, the relative abundances of N-glycan structure peak 1 (NGA2F) and peak 2 (NGA2FB) increased with higher liver inflammation grades, while the relative abundance of peak 5 (NA2) decreased ( P<0.05). The AUCs of the HIS-G model (HIS-G A) and its enhanced version (HIS-G A Plus) for identifying significant inflammation and necrosis (≥G2, indicating the initiation of antiviral therapy) were 0.805 (95% CI 0.690-0.899) and 0.904 (95% CI 0.821-0.960), respectively. In CHB patients with ALT>40 U/L, the relative abundances of peaks 1 (NGA2F), 2 (NGA2FB), and 3 (NG1A2F) increased with higher liver inflammation grades, while the relative abundances of peaks 8 (NA3) and 11 (NA4) decreased ( P<0.05). The AUCs of the HIS-G model (HIS-G B) and its enhanced version (HIS-G B Plus) for identifying significant inflammation (≥G2) were 0.810 (95% CI 0.727-0.889) and 0.838 (95% CI 0.754-0.901), respectively. With increasing liver inflammation grades, the expression levels of four glycosyltransferase genes (CHST4, FUT8, SLC51B, and ST8SIA4) were significantly upregulated ( P<0.05). Conclusions:Serum N-glycan biomarker models can be used to assist in evaluating the severity of liver tissue inflammation in CHB patients with both normal and abnormal ALT levels.

Objective: To explore the experience of self growth among caregivers of adolescents with non suicidal self injury (NSSI), so as to provide practical reference for improving the family support system of adolescents with NSSI. Methods: From August to November 2023, a purposive sampling method was used to select 21 caregivers of adolescents with NSSI who were treated in a tertiary grade A psychiatric hospital in Xinxiang City, Henan Province for semi structured in depth interviews. The Colaizzi s seven step qualitative analysis method was applied to analyze the data and extract themes related to caregiver growth Results: A total of 5 themes and 12 sub themes of benefit finding were extracted from caregivers of adolescents with NSSI: personal growth (increased psychological resilience, enhanced awareness of independent learning, improved self reflection ability, better understanding and acceptance of NSSI behaviors in adolescents), improvement of family relationships (improved parent-child relationship, improved relationships among family members), perceived social support (more peer support, support from close friends), improvement of caregiving ability (creating a favorable rehabilitation environment, improved caregiving skills), and changes in life and education attitudes (adopting a healthier lifestyle, reasonably adjusting expectations for children). Conclusions During the process of caring for adolescents with NSSI, caregivers from positive experiences in multiple aspects such as personal growth, family relationships, social support, and life education attitudes. Improving the mental health level of caregivers and optimize the family rehabilitation environment, will help reduce the occurrence of NSSI behaviors among adolescents.

Objective To investigate the effect of gender on prognosis after transcatheter patent foramen ovale(PFO)closure in patients with cerebral infarction or transient ischemic attack.Methods A retrospective cohort study was conducted involving patients with cerebral infarction or transient ischemic attack(TIA)who underwent PFO closure at our hospital between January 2013 and December 2023.The patients were grouped by gender,and related data were collected,including age,comorbidities,Risk of Paradoxical Embolism(RoPE)score,laboratory results,findings of transthoracic/transesophageal echocardiography(TTE/TEE),and post-procedural complications,such as device-related thrombosis(DRT),recurrent stroke,bleeding,and atrial fibrillation(AF).Results A total of 112 patients were enrolled,including 59 males and 53 females,at a mean age of 42.47±12.35 years.The females had significantly higher preoperative RoPE score than the males(6.6±1.4 vs 6.0±1.5,P=0.046),and a statistical difference was observed in the distribution of infarction sites between them(Chi-square=10.25,P=0.006),indicating that the males were prone to posterior circulation infarction.Intraoperative transthoracic echocardiography revealed a greater distance from the PFO to the aortic root in the females(9.3±2.4 mm vs 7.6±2.0 mm,P<0.001).During a median follow-up of 4 years,the male group had 1 case of myocardial infarction,1 cerebral hemorrhage,1 paroxysmal AF,2 gingival bleeding episodes,and 1 skin ecchymosis.In the female group,1 case experienced pulmonary embolism,1 paroxysmal atrial fibrillation,3 gingival bleeding episodes,2 skin ecchymoses,2 recurrent cerebral infarctions,and 2 recurrent TIAs.There was no statistical difference in overall adverse events between gender(P=0.291).Although the females had higher rates of recurrent cerebral infarction and TIA,this difference lacked statistical significance(P=0.222).Multivariate Cox regression analysis indicated that after adjusting for various potential confounding factors,such as RoPE score,age,hypertension,coronary heart disease,and other factors,gender was not an independent predictor of composite endpoint events after surgery.Conclusion Gender does not significantly affect overall prognosis after PFO closure in patients with cerebral infarction or TIA.However,females showed a trend toward higher rates of recurrent cerebral infarction and TIA.

Objective:To explore the influence of different scanning positions based on chest phantom of computed tomography(CT)scan on chest on image quality and radiation dose.Methods:A thermoluminescent dosimeter(TLD)was placed at the breast area of simulating anthropoid chest phantom.GE Revolution evo CT was used to conduct scan on the conventional supine position(supine group)and prone position(prone group)for chest phantom.Different noise indexes(NI=10-23)were adjusted to control ration doses,and other parameters were fixed,and each group collected 12 sequence images.The average value(AV),standard deviation(SD)of the CT scan at region of interest(ROI)under different scanning positions were recorded to calculate the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the image.The radiation dose at the breast area was measured by TLD,and the volume CT dose index(CTDIvol)and dose-length product(DLP)were recorded.Results:Under different scanning positions,the radiation dose of breast organs in the prone group was lower than that in the supine group,there was a statistically significant difference between the two groups(t=6.57,P<0.05),while there were not statistically significant differences in CTDIvol and DLP between the two groups(P>0.05).There were not statistically significant differences in the CT values,SD,SNR,CNR of lung tissue,and the CT values of breast tissue between the two groups of images(P>0.05).The SD,SNR and CNR of breast tissue in the prone group were lower than those in the supine group,and the differences were statistically significant(t=-13.33,-10.59,6.70,P<0.05).There were no statistically significant differences in the subjective scores of the clarity of the edge of the tissue within lung,the layers of soft tissue of the breast,noise,and artifacts in the bone tissue between the two groups of images(P>0.05).Conclusion:When low-dose CT physical examination on chest is conducted in clinical practice,the scanning of prone position during undergoing CT scan on chest can obtain image quality that can meet the requirements in diagnosing lung,and reduce the radiation dose on the breast,and conform to the technical principle of optimal radiation protection.