BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective: To investigate the potential of conventional cranial computed tomography (CT) in assessing the early neurological deterioration(END), long-term prognosis, and traditional Chinese medicine (TCM) syndrome elements during the acute phase in patients with acute ischemic stroke (AIS). Methods: This study included 101 patients with AIS onset within 24 h in the Emergency Department of Fangshan Hospital, Beijing University of Chinese Medicine, from November 2019 to May 2021. To investigate the correlation between the relevant characteristics of the first conventional cranial CT in patients with AIS onset within 24 h and END, 90 d prognosis, and initial syndrome elements, the presence or absence of END, the 90 d prognosis (non-disabling outcome or functionally independent outcome), and the establishment of syndrome elements (internal fire, phlegm-dampness, blood stasis, qi deficiency, yin deficiency) were used as dependent variables and grouping criteria. Results: This study included 61 males and 40 females, with an age of (64.43±10.56) years. The time from onset to conventional cranial CT examination was 3.50 (1.50, 9.75) h. Among the patients, there were 70 cases (69.3%) of mild AIS, 30 cases (29.7%) of moderate AIS, and one case (1.0%) of severe AIS. Fifteen patients (14.9%) received intravenous thrombolysis. Among the 101 patients, six syndrome elements were observed within 24 h of onset: internal wind in 101 cases (100.0%), internal fire in 58 cases (57.4%), phlegm-dampness in 60 cases (59.4%), blood stasis in 67 cases (66.3%), qi deficiency in 39 cases (38.6%), and yin deficiency in 23 cases (22.8%). The incidence of END was higher in patients with lesions in the contralateral cerebral hemisphere to the affected limb (32.9%) than in those without such lesions (10.7%), showing a strong positive correlation with END occurrence (OR=4.082, P = 0.026). The incidence of END was higher in patients with lesions in the basal ganglia region (33.3%) and the carotid system blood supply area (32.8%) than in those without lesions in the basal ganglia region (15.8%) and the carotid system territory (14.7%), showing moderate positive correlations with END occurrence (OR=2.667, P =0.047; OR=2.836, P=0.044). The proportion of non-disabling outcomes was lower among patients with white matter degeneration (30.8%) and lesions in the contralateral cerebral hemisphere to the affected limb (52.1%) than in those without white matter degeneration (63.6%) and without such lesions in the contralateral cerebral hemisphere to the affected limb (78.6%), both showing strong negative correlations with the occurrence of non-disabling outcomes (OR=0.254, P=0.034; OR=0.296, P=0.015). Similarly, the proportion of functionally independent outcomes was lower among individuals with white matter degeneration (30.8%) and lesions in the contralateral cerebral hemisphere to the affected limb (64.4%) than in those without white matter degeneration (77.3%) and without such lesions in the contralateral cerebral hemisphere to the affected limb (89.3%), both also showing strong negative correlations with the occurrence of functionally independent outcomes (OR=0.131, P=0.001; OR=0.217, P=0.014). The incidence rates of internal fire, blood stasis, and yin deficiency syndrome elements were 66.7%, 73.0%, and 30.2%, respectively, among patients with lesions in the basal ganglia region, compared to 42.1%, 55.3%, and 10.5% among those without lesions in this region. The presence of lesions in the basal ganglia region showed moderate to strong positive correlations with internal fire and yin deficiency syndrome elements (OR=2.750, P=0.016; OR=3.670, P=0.028). Patients with lesions in the centrum semiovale and corona radiata regions (66.7%) had a higher incidence of qi deficiency than those without lesions in this region (33.7%), showing a strong positive correlation with the occurrence of qi deficiency (OR=3.931, P=0.022). No CT characteristics were found to be correlated with phlegm-dampness syndrome elements. Conclusion The first cranial CT in patients with AIS has potential application value in predicting disease progression, assessing prognosis, and diagnosing syndromes, which can provide physicians with diagnostic and treatment decisions to improve the long-term prognosis of patients with AIS.

The technologies for ovarian tissue cryopreservation and entire process for ovarian tissue cryopreservation and transplantation were introduced,and the medical equipment configuration was summarized for each stage of ovarian tissue cryopreservation and transplantation.Detailed plans and management methods were proposed for the medical equipment configuration of ovarian tissue cryopreservation and transplantation,and relevant precautions,possible problems and solutions during the process were put forward.References were provided for medical institutions planning to carry out ovarian tissue cryopreservation and transplantation.[Chinese Medical Equipment Journal,2025,46(4):63-69]

OBJECTIVE: To investigate the influence of different scanning conditions on the image quality of medical electron accelerator cone-beam computed tomography (CBCT) and provide a reference for the selection of scanning conditions for different body parts. Methods Set different scanning conditions, the Catphan 503 phantom was scanned using CBCT parameters to analyze the influence of spatial resolution, noise, uniformity, spatial geometric accuracy, and low-contrast resolution on the image quality of CBCT. RESULTS: For the head, chest, and abdomen, with the increase in scanning parameter values, the noise value decreased by 47.4%, 26.1%, and 51.3% respectively, and the uniformity values decreased by 30.2%, 26.6%, and 47.9% respectively. The low-contrast resolution values decreased by 50.6%, 34.2%, and 12.0%. The influence of different scanning conditions on spatial geometric accuracy and spatial resolution is not significant. CONCLUSION Different scanning parameters have a certain influence on the image quality of medical electron accelerator CBCT. Lower scanning parameters can be selected based on individual patients to reduce the additional radiation dose, providing a reference for the safe application of CBCT image guidance in radiotherapy.
Cone-Beam Computed Tomography/instrumentation* ; Phantoms, Imaging ; Particle Accelerators

Gentianopsis barbata (G. barbata) represents a significant plant species with considerable ornamental and medicinal value in China. This investigation sought to elucidate the primary constituents within the plant and investigate their pharmacological properties. Fifty triterpenoids (1-50), including nine previously undescribed compounds (1, 2, 7, 10, 20, 28, 29, 37, and 41) were isolated and characterized from the whole plants of G. barbata. Notably, compounds 1 and 2 exhibited the novel 3,4;9,10-diseco-24-homo-cycloartane triterpenoid skeleton. The isolated triterpenoids demonstrated substantial anti-inflammatory activity through inhibition of tumor necrosis factor α (TNF-α) and interleukin-6 (IL-6) cytokine secretion in LPS-induced RAW264.7 macrophages, and hepatoprotective effects by preventing tert-butyl hydroperoxide (t-BHP)-induced oxidative injury in HepG2 cells. These results demonstrate both the presence of diverse triterpenoids in G. barbata and their therapeutic potential for inflammatory and hepatic conditions, providing scientific evidence supporting the clinical application of this traditional Mongolian medicinal plant.
Triterpenes/isolation & purification* ; Mice ; Anti-Inflammatory Agents/isolation & purification* ; Animals ; Humans ; RAW 264.7 Cells ; Hep G2 Cells ; Interleukin-6/genetics* ; Tumor Necrosis Factor-alpha/genetics* ; Medicine, Mongolian Traditional ; Macrophages/immunology* ; Protective Agents/isolation & purification* ; Liver/drug effects* ; Gentianaceae/chemistry* ; Plant Extracts/chemistry* ; Molecular Structure

OBJECTIVE: This study aimed to investigate the prevalence of HIV pretreatment drug resistance (PDR) and the transmission clusters associated with PDR-related mutations in newly diagnosed, treatment-naive patients between 2020 and 2023 in Dehong prefecture, Yunnan province, China. METHODS: Demographic information and plasma samples were collected from study participants. PDR was assessed using the Stanford HIV Drug Resistance Database. The Tamura-Nei 93 model within HIV-TRACE was employed to compute pairwise matches with a genetic distance of 0.015 substitutions per site. RESULTS: Among 948 treatment-naive individuals with eligible sequences, 36 HIV subtypes were identified, with unique recombinant forms (URFs) being the most prevalent (18.8%, 178/948). The overall prevalence of PDR was 12.4% (118/948), and resistance to non-nucleotide reverse transcriptase inhibitors (NNRTIs), nucleotide reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) was 10.7%, 1.3%, and 1.6%, respectively. A total of 91 clusters were identified, among which eight showed evidence of PDR strain transmission. The largest PDR-associated cluster consisted of six CRF01_AE drug-resistant strains carrying K103N and V179T mutations; five of these individuals had initial CD4+ cell counts < 200 cells/μL. CONCLUSION The distribution of HIV subtypes in Dehong is diverse and complex. PDR was moderately prevalent (12.4%) between 2020 and 2023. Evidence of transmission of CRF01_AE strains carrying K103N and V179T mutations was found. Routine surveillance of PDR and the strengthening of control measures are essential to limit the spread of drug-resistance HIV strains.
Humans ; HIV Infections/virology* ; China/epidemiology* ; Drug Resistance, Viral ; Male ; Adult ; Female ; Middle Aged ; HIV-1/genetics* ; Anti-HIV Agents/therapeutic use* ; Myanmar/epidemiology* ; Young Adult ; Prevalence ; Adolescent ; Mutation

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objective To evaluate the relationship between the QRS duration(QRSd)of the first medical contact(FMC)and the 30-day clinical endpoint of acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 547 STEMI patients were selected and divided into the QRSd＜100 ms group(306 cases)and the QRSd≥100 ms group(241 cases).Clinical data of the patients were collected,and electrocardiography(ECG)and cardiac ultrasound were evaluated according to the FMC examination results of patients.The starting point of the study was the postoperative day.Outpatient or telephone follow-up was performed after discharge until 30 days or death,the primary endpoint was major adverse cardiovascular events(MACE),which was defined as the composite endpoint of all-cause mortality,acute heart failure(AHF)and revascularization again,and the secondary endpoint was AHF.Kaplan-Meier curves were drawn to evaluate the incidence rates of MACE and AHF.QRSd was included in Cox regression with continuous variables and categorical variables to analyze influence factors of 30-day MACE and AHF in STEMI patients.The receiver operating characteristic(ROC)curve was used to evaluate the efficacy of QRSd in predicting 30 d MACE occurrence in STEMI patients.Results Compared with the QRSd＜100 ms group,HR was faster and the proportion of smoking history was lower in the QRSd≥100 ms group(P＜0.05).MACE occurred in 44 patients,including 11 in the QRSd＜100 ms group and 33 in the QRSd≥100 ms group.AHF occurred in 17 patients,including 2 patients in the QRSd＜100 ms group and 15 patients in the QRSd≥100 ms group.Kaplan-Meier survival analysis showed that the incidence of MACE and AHF were higher in the QRSd≥100 ms group than those in the QRSd＜100 ms group(P＜0.01).Multivariate Cox regression analysis showed that prolonged QRSd and QRSd≥100 ms were risk factors for MACE and AHF(P＜0.05).ROC curve results showed that the best cutoff value of QRSd for predicting MACE was 111 ms,the area under the curve(AUC)was 0.796(95%CI:0.710-0.881),the sensitivity was 0.75,and the specificity was 0.84.Conclusion Compared with QRSd＜100 ms,QRSd≥100 ms of the FMC can increase the risk of 30-day MACE and heart failure in patients with STEMI,and this risk increases with prolonged QRSd.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.