BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission， presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years， various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making， but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia， so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5， 2025， a systematic literature search was conducted across multiple electronic databases， including PubMed， Embase， Cochrane Library， Web of Science， CINAHL， CNKI， China Biomedical Literature Database， Wanfang Database， and VIP Database， to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1， 2025. Two researchers independently performed literature screening， data extraction， risk of bias assessment， and applicability assessment. ResultsA total of 9 studies were included in this review， encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them， 4 models reported the area under the receiver operating characteristic （ROC） curve （AUC）， ranging from 0.734 to 0.820， 16 models provided AUC values of 0.642–0.879 for internal validation， and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance， it is associated with a high risk of bias and insufficient performance evaluation.

OBJECTIVE To form an expert consensus on the clinical application of parenteral direct thrombin inhibitors （DTIs） in patients during the perioperative period. METHODS Led by Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital （the Affiliated Hospital of UESTC）， a multidisciplinary working group was established. Through literature review and the Delphi method， clinical questions related to the rational perioperative use of parenteral DTIs were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” framework； systematic searches were conducted in CNKI， Medline， Embase and other databases. Relevant evidence from randomized controlled trials and cohort studies was included and synthesized. Evidence quality was assessed using the Grades of Recommendations Assessment，Development and Evaluation （GRADE） approach， and recommendations were formulated through multiple rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven recommendations （each with an expert consensus rate exceeding 90%） on the use of parenteral DTIs in perioperative patients were developed. These recommendations specify drug selection， dosing ranges， key monitoring points， and safety management strategies for parenteral DTIs in various scenarios， including the perioperative period of ventricular assist device implantation， the perioperative period of cardiac surgery， perioperative patients with lower-extremity atherosclerotic disease， the perioperative period of percutaneous coronary intervention in patients with acute coronary syndrome， the perioperative period of carotid artery stenting in patients with carotid stenosis， the perioperative period of patients with right heart thrombosis， and patients who develop related thrombosis and dysfunction after a central venous catheter insertion. In addition， warning and management pathways for perioperative bleeding and thrombotic events were proposed. This expert consensus， which is formulated based on the best available evidence， provides evidence-based guidance for standardized and individualized use of parenteral DTIs in perioperative period.

Objective:To analyze the risk factors for herpes zoster complicated by kidney dysfunction and construct a prediction model.Methods:A retrospective analysis was conducted on the clinical data of 150 patients with herpes zoster who were admitted to Hangzhou Third People's Hospital from January 2022 to December 2023. The patients were divided into two groups based on the presence of kidney dysfunction: kidney dysfunction group ( n = 30, with kidney dysfunction) and control group ( n = 120, without kidney dysfunction). The risk factors for herpes zoster complicated by kidney dysfunction were analyzed. The logistic prediction model was constructed. The effectiveness of this prediction model in predicting herpes zoster complicated by kidney dysfunction was assessed using the receiver operating characteristic curve. Results:The differences in gender, body mass index, comorbidities (hypertension and hyperlipidemia), and sites of onset between the two patient groups were not statistically significant (all P > 0.05). The average age of the kidney dysfunction group was (67.74 ± 6.71) years, which was significantly older than that in the control group [(62.32 ± 5.58) years, t = 4.56, P < 0.001]. In the kidney dysfunction group, the proportions of patients with comorbid diabetes, severe pain, large lesion area, high-dose antiviral medication use, and hemoglobin levels < 120 g/L were 46.67% (14/30), 63.33% (19/30), 56.67% (17/30), 46.67% (14/30), and 40.00% (12/30), respectively. These values were all significantly greater than those in the control group [14.17% (17/120), 34.17% (41/120), 31.67% (36/120), 19.17% (23/120), and 10.00% (12/120), χ2 = 15.46, 2.60, 2.10, 9.76, 16.07, P < 0.001, 0.002, 0.035, 0.002, < 0.001). Logistic regression analysis revealed that older age ( OR = 3.023), comorbid diabetes ( OR = 4.315), severe pain ( OR = 3.623), large lesion area ( OR = 3.481), high-dose antiviral medication use ( OR = 4.030), and hemoglobin levels < 120 g/L ( OR = 0.151) were all significant risk factors for herpes zoster complicated by kidney dysfunction (all P < 0.05). Based on these risk factors, the following logistic prediction model was developed: Logit( P) = -8.753 + 1.106 × age + 1.462 × diabetes + 1.287 × pain severity + 1.247 × lesion area + 1.394 × high-dose antiviral medication use + (-1.889) × hemoglobin. The receiver operating characteristic curve analysis indicated that the area under the curve for predicting herpes zoster complicated by kidney dysfunction was 0.904 (95% CI: 0.859-0.937), with a sensitivity of 84.62% and a specificity of 89.04%. Conclusions:The risk factors for herpes zoster complicated by kidney dysfunction include older age, comorbid diabetes, severe pain, large lesion area, high-dose antiviral medication use, and hemoglobin levels < 120 g/L. Based on these factors, the construction of a logistic prediction model can provide a reliable basis for clinical prediction of the occurrence of kidney dysfunction.

Objective:To observe the applying effect of teamwork cooperation model of encephalopathy in the clinical teaching of Neurology.Methods:Sixty undergraduate students who practiced in our hospital were randomly divided into the control group and the experimental group,with 30 students in each group.The control group was arranged for internship according to the traditional department-based model,while the experimental group was arranged according to the teamwork cooperation model of encephalopathy discipline group.The theoretical examination scores and clinical skills scores of the two groups were compared,and the Mini-Clinical Evaluation Exercise(Mini-CEX)scale was used for dual evaluation by teachers and students from seven aspects:inquiry skills,physical examination skills,humanistic care,clinical judgment,communication skills,organizational effectiveness,and overall clinical competence.Result:There were statistically significant differences between the experimental group and the control group in theoretical examination scores,clinical skills scores,and dual evaluation by teachers and students(P＜0.05).Conclusion:Compared with the traditional teaching model,the teamwork cooperation model of encephalopathy discipline group has achieved better results in the clinical teaching of Neurology.

Objective To investigate the impact of pomegranate peel polyphenols(PPP)on the malignant biological behavior of colon cancer cells through modulation of the miR-138-5p/hypoxia-inducible factor-1α(HIF-1α)pathway.Methods Quantitative real-time PCR(qRT-PCR)was employed to measure the expression levels of miR-138-5p and HIF-1α mRNA in the normal colon epithelial cell line FHC and three colorectal cancer cell lines:SW480,HCT116,and Caco-2.SW480 cells were divided into six groups:a blank control group,a negative control(mimics NC)group,a miR-138-5p mimics group,three different concentrations of PPP treatment groups(0.5 mg/mL,1 mg/mL,and 2 mg/mL),a PPP+inhibitor NC group at 2 mg/mL,and a PPP+miR-138-5p inhibitor group at 2 mg/mL.The effects on cell proliferation,invasion,and migration,as well as changes in apoptosis and related proteins including B-cell lymphoma 2(Bcl-2),migration invasion enhancer 1(MIEN1),and Cyclin D1,were evaluated separately.Additionally,the targeting relationship between miR-138-5p and HIF-1α was validated.The expression levels of miR-138-5p,HIF-1α mRNA,and protein were assessed in each experimental group.Results The expression levels of miR-138-5p were highest in FHC cells and lowest in SW 480 cells,while the expression levels of HIF-1α mRNA showed an opposite trend,being lowest in FHC cells and highest in SW 480 cells(P<0.05).Compared with the control group,different concentrations of PPP significantly promoted cell apoptosis,upregulated miR-138-5p expression,inhibited cell proliferation,invasion,and migration,and downregulated the expression of HIF-1α mRNA,Bcl-2,MIEN1,CyclinD1,and HIF-1α protein,with significant differences between groups(P<0.05).Compared with the mimics NC group,the miR-138-5p mimics group significantly enhanced cell apoptosis,upregulated miR-138-5p expression,inhibited cell proliferation,invasion,and migration,and downregulated the expression of HIF-1α mRNA,Bcl-2,MIEN1,CyclinD1,and HIF-1α protein(P<0.05).Compared with the 2 mg/mL PPP+inhibitor NC group,the 2 mg/mL PPP+miR-138-5p inhibitor group significantly suppressed cell apoptosis,downregulated miR-138-5p expression,promoted cell proliferation,invasion,and migration,and upregulated the expression of HIF-1α mRNA,Bcl-2,MIEN1,CyclinD1,and HIF-1α protein(P<0.05).These results indicate a targeted relationship between miR-138-5p and HIF-1α(P<0.05).Conclusion PPP inhibits the malignant biological behavior of colon cancer cells through upregulation of the miR-138-5p/HIF-1α pathway.

Objective To investigate the effects of aloperine(ALO)on bone metabolism in osteoporosis(OP)mice via Wnt/β-catenin signaling pathway-mediated autophagy and apoptosis.Methods Sixty mice were randomly allocated into six groups(n=10 per group):Sham group(sham-operated mice),OP group(osteoporosis model induced by bilateral ovariectomy),L-ALO group(OP mice intraperitoneally injected with 10 mg/kg aloper-ine),M-ALO group(OP mice intraperitoneally injected with 20 mg/kg aloperine),H-ALO group(OP mice intra-peritoneally injected with 30 mg/kg aloperine),and EV group(OP mice administered 0.09 mg/kg estradiol valerate).Bone mineral density and microstructure of the tibia were assessed.Hematoxylin and eosin(HE)staining was per-formed to examine the morphology of tibial bone tissue.Serum levels of OCN,OPG,ALP,Ca,and P were measured using ELISA.Protein expression levels of LC3-Ⅱ,LC3-Ⅰ,Beclin-1,P62,Caspase-3,Caspase-9,Bax,Wnt3a,β-catenin,and C-Myc were analyzed by Western blot.Autophagosomes were visualized using immunofluorescence.Results Compared with the Sham group,the bone mineral density(BMD)and trabecular thickness in the OP group were significantly reduced,while trabecular separation,bone surface area,and volume were significantly increased(P<0.05).The levels of OPG,OCN,Ca,and P were significantly downregulated,whereas ALP levels were significantly upregulated(P<0.05).Additionally,the LC3-Ⅱ/LC3-Ⅰ ratio and expression levels of Beclin-1,Wnt3a,β-catenin,and C-Myc proteins were significantly decreased,while the expression levels of P62,Caspase-3,Caspase-9,and Bax proteins were significantly increased(P<0.05).Compared with the OP group,the L-ALO,M-ALO,and H-ALO groups exhibited significant increases in BMD and trabecular thickness,along with significant decreases in trabecular separation,bone surface area,and volume(P<0.05).The levels of OPG,OCN,Ca,and P were significantly upregulated,while ALP levels were significantly downregulated(P<0.05).Furthermore,the LC3-Ⅱ/LC3-Ⅰ ratio and expression levels of Beclin-1,Wnt3a,β-catenin,and C-Myc proteins were significantly increased,while the expression levels of P62,Caspase-3,Caspase-9,and Bax proteins were significantly decreased(P<0.05).In contrast,compared with the OP group,the EV group showed significant increases in BMD and trabecular thickness,as well as significant decreases in trabecular separation,bone surface area to volume ratio(P<0.05).The levels of OPG,OCN,Ca,and P were significantly upregulated,while ALP levels were significantly downregulated(P<0.05).Moreover,the LC3-Ⅱ/LC3-Ⅰ ratio and expression levels of Beclin-1,Wnt3a,β-catenin,and C-Myc proteins were significantly increased,while the expression levels of P62,Caspase-3,Caspase-9,and Bax proteins were significantly decreased(P<0.05).Conclusions Peanine may promote autophagy in osteoblasts and inhibit their apoptosis,thereby improving bone metabolism in OP mice.This effect may be mediated through the activation of the Wnt/β-catenin signaling pathway.

Objective To investigate the impact of pomegranate peel polyphenols(PPP)on the malignant biological behavior of colon cancer cells through modulation of the miR-138-5p/hypoxia-inducible factor-1α(HIF-1α)pathway.Methods Quantitative real-time PCR(qRT-PCR)was employed to measure the expression levels of miR-138-5p and HIF-1α mRNA in the normal colon epithelial cell line FHC and three colorectal cancer cell lines:SW480,HCT116,and Caco-2.SW480 cells were divided into six groups:a blank control group,a negative control(mimics NC)group,a miR-138-5p mimics group,three different concentrations of PPP treatment groups(0.5 mg/mL,1 mg/mL,and 2 mg/mL),a PPP+inhibitor NC group at 2 mg/mL,and a PPP+miR-138-5p inhibitor group at 2 mg/mL.The effects on cell proliferation,invasion,and migration,as well as changes in apoptosis and related proteins including B-cell lymphoma 2(Bcl-2),migration invasion enhancer 1(MIEN1),and Cyclin D1,were evaluated separately.Additionally,the targeting relationship between miR-138-5p and HIF-1α was validated.The expression levels of miR-138-5p,HIF-1α mRNA,and protein were assessed in each experimental group.Results The expression levels of miR-138-5p were highest in FHC cells and lowest in SW 480 cells,while the expression levels of HIF-1α mRNA showed an opposite trend,being lowest in FHC cells and highest in SW 480 cells(P<0.05).Compared with the control group,different concentrations of PPP significantly promoted cell apoptosis,upregulated miR-138-5p expression,inhibited cell proliferation,invasion,and migration,and downregulated the expression of HIF-1α mRNA,Bcl-2,MIEN1,CyclinD1,and HIF-1α protein,with significant differences between groups(P<0.05).Compared with the mimics NC group,the miR-138-5p mimics group significantly enhanced cell apoptosis,upregulated miR-138-5p expression,inhibited cell proliferation,invasion,and migration,and downregulated the expression of HIF-1α mRNA,Bcl-2,MIEN1,CyclinD1,and HIF-1α protein(P<0.05).Compared with the 2 mg/mL PPP+inhibitor NC group,the 2 mg/mL PPP+miR-138-5p inhibitor group significantly suppressed cell apoptosis,downregulated miR-138-5p expression,promoted cell proliferation,invasion,and migration,and upregulated the expression of HIF-1α mRNA,Bcl-2,MIEN1,CyclinD1,and HIF-1α protein(P<0.05).These results indicate a targeted relationship between miR-138-5p and HIF-1α(P<0.05).Conclusion PPP inhibits the malignant biological behavior of colon cancer cells through upregulation of the miR-138-5p/HIF-1α pathway.

OBJECTIVE To explore the ameliorative effect of Tiaozhi Xiaoban Mixture on atherosclerosis and the potential role of long non-coding RNA(Linc RNA)in anti-atherosclerosis.METHODS A model of atherosclerosis was established in SD rats subjec-ted to a high-fat diet.At 4 weeks post-modeling,thoracic aortic tissues from atherosclerotic rats were collected for hematoxylin-eosin(HE)staining to systematically evaluate the anti-atherosclerotic effects of Tiaozhi Xiaoban Mixture at different doses.Biochemical kits were utilized to assess relevant indices related to blood lipid levels as well as liver and kidney function,thereby evaluating the impact of Tiaozhi Xiaoban Mixture on these parameters.Enzyme-linked immunosorbent assay(ELISA)was employed to measure serum inflam-mation markers influenced by Tiaozhi Xiaoban Mixture.Additionally,TUNEL staining and Western blot analysis were conducted to ex-amine the apoptotic effects of Tiaozhi Xiaoban Mixture on thoracic aorta tissue.Finally,qPCR was used to detect the expression levels of Line-HC,MALAT1,etc.,in order to evaluate how Tiaozhi Xiaoban Mixture affecting these specific RNA molecules.RESULTS Following treatment with Tiaozhi Xiaoban Mixture,the blood lipid profiles indicated that total cholesterol(TC),triglycerides(TG),and low-density lipoprotein cholesterol(LDL-C)were significantly down-regulated(P＜0.05,P＜0.01),while high-density lipopro-tein cholesterol(HDL-C)levels were up-regulated in the atherosclerotic rats.Moreover,serum levels of liver and kidney function markers such as aspartate aminotransferase(AST),alanine aminotransferase(ALT),blood urea nitrogen(BUN),and creatinine(Cr)exhibited down-regulation(P＜0.05,P＜0.01).Additionally,pro-inflammatory factors including interleukin-6(IL-6),interleukin-1 beta(IL-1β),tumor necrosis factor-alpha(TNF-α),high-sensitivity C-reactive protein(hs-CRP),and matrix metallopeptidase 9(MMP-9)were also reduced(P＜0.01),whereas the anti-inflammatory factor interleukin-10(IL-10)was found to be elevated(P＜0.01).Furthermore,after oral administration of Tiaozhi Xiaoban Mixture,expression levels of apoptosis-related factors NLRP3,ASC,Cleaved Caspase-1,Cleaved IL-1 β,Puma,Bax,Noxa,and MDM2 in thoracic aorta tissues from the atherosclerotic rats showed sig-nificant down-regulation(P＜0.05,P＜0.01).Notably,following treatment with Tiaozhi Xiaoban Mixture,mRNA levels of Linc-HC decreased while mRNA expression of MALAT1 increased(P＜0.05,P＜0.01).CONCLUSION Tiaozhi Xiaoban Mixture may inhibit the expression of Linc-HC and up-regulate the expression of MALAT1 to reduce the formation of atherosclerotic plaque,improve ab-normal blood lipids and liver and kidney function,alleviate inflammation and inhibit apoptosis.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Objective:To explore the diagnostic reference level(DRL)of computed tomography(CT)based on size-specific dose estimate(SSDE)for child's head,and estimate the SSDE by using tube current time production.Methods:The CT data of head of 1259 pediatric patients who underwent CT examination in Children's Hospital of Nanjing Medical University from January 2023 to December 2023 were retrospectively collected.They were divided into six groups according to different ages:<6 months group,6 months to<1 year group,1 to<3 years group,3 to<6 years group,6 to<12 years group,and≥12 years group.Additionally,they were divided into five groups based on body size:<12.5 cm group,12.5 to<14 cm group,14 to<15 cm group,15 to<16 cm group,and≥16 cm group.The volume CT dose index(CTDIVOL),tube current time production(mAs),left and right diameter(LRD),area(AROI)and CT value(CTROI)of region of interest of different age groups were respectively measured and recorded.The water equivalent diameter(DW),conversion factor(f H16)and SSDE based on DW(SSDEDW)were calculated.The DRLs distribution based on age and body size was analyzed by statistic method,and the correlation between DW and mAs was analyzed by regression analysis,and a regression model between SSDEDW and mAs was further established.The intra-group correlation coefficient(ICC)was used to analyze the consistency.Results:In DRLs of various age groups,the CTDIVOL range and SSDEDW range were respectively(12.32 mGy-21.66 mGy)and(13.47 mGy to 17.83 mGy).In the DRL of various body size groups,the CTDIVOL range and SSDEDW range were(13.52 mGy-21.86 mGy)and(13.91 mGy-17.92 mGy).In different ages group of pediatric patients,the range of deviation rates of local DRL(LDRLs)value of radiation dose on head of CTDIVOL value to SSDEDW was-8.54%-21.48%.There were strong positive correlations between DW and mAs at 100 and 120 kVp(r=0.96,0.89,P<0.001),respectively.There was stronger consistency between the calculated value by using SSDEDW and actual measurement value by using sAs(ICC=0.98).Conclusion:SSDEDW can more accurately reflect radiation dose,and SSDEDW can be more quickly calculated to control the radiation dose by using the regression models between SSDEDW and mAs.