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 explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

To develop a guideline terminology system and promote its standardization, thereby enhancing medical staff's accurate understanding and correct application of guidelines.

OBJECTIVE: To explore the relationship between the geriatric nutritional risk index (GNRI) and cognitive function. METHODS: A cross-sectional study method was conducted. People aged ≥ 60 years from the National Health and Nutrition Examination Survey (NHANES) databases from 1999 to 2002 and 2011 to 2014 were included as study subjects. The participants were divided into three groups based on their GNRI scores: a medium-high risk group (82 ≤ GNRI < 92), a low risk group (92 ≤ GNRI < 98), and a no-risk group (GNRI ≥ 98). Demographic characteristics (gender, age, race, education), chronic diseases [chronic bronchitis, emphysema, thyroid problems, coronary heart disease, angina pectoris, stroke, hypertension, diabetes mellitus, and depression score on the patient health questionnaire (PHQ-9)], lifestyle habits (history of smoking, hours of sleep), etc., were collected. Cognitive function was assessed using the consortium to establish a registry for Alzheimer's disease word learning subtest (CERAD-WL), animal fluency test (AFT), and digit symbol substitution test (DSST) for the 2011-2014 data, while only the DSST was used for the 1999-2002 data. Differences in the above information among the GNRI cohorts were compared. Factors affecting cognitive function in the population were analyzed using multifactorial Logistic regression. RESULTS: 2 653 participants from 2011 to 2014 and 2 380 participants from 1999 to 2002 were enrolled, with a total of 5 033 participants in the study. There were statistically significant differences in age, stroke, diabetes mellitus, DSST score, AFT score, CERAD score test 1 recall (Cst1), and CERAD score test 2 recall (Cst2) among the GNRI groups. Multifactorial Logistic regression analysis of data from 2011 to 2014 showed that in model 3 (DSST score, age, gender, race, marriage, education, hours of sleep, history of smoking, emphysema, thyroid problems, chronic bronchitis, coronary heart disease, angina pectoris, hypertension, diabetes mellitus, depression score on the PHQ-9, and stroke) adjusted for all covariates, GNRI was a protective factor for DSST [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.00 to 1.05, P = 0.03]; Logistic regression analyse for 1999 to 2002 and 2011 to 2014 showed a significant association even after adjustment for covariates (OR = 1.02, 95%CI was 1.00 to 1.03, P = 0.02). Subgroup Logistic regression analyses of the total population from 2011 to 2014 showed a significant association between GNRI and DSST scores (OR = 1.02, 95%CI was 1.01 to 1.03, P < 0.001), with significant associations in the age subgroups of 60 to 64 years old, across gender, non-Hispanic Whites and Blacks, by education, and by marital status associations were significant (all P < 0.05). Subgroup Logistic regression analyse of the total populations from 1999 to 2002 and 2011 to 2014 showed a significant association between the GNRI and DSST score (OR = 1.01, 95%CI was 1.01 to 1.02, P < 0.001), but did not show a significant year difference (interaction P = 0.503), and the newly found in the smoking population the association was also more significant (P < 0.01). CONCLUSION The GNRI correlates with the presence of cognitive functions related to processing speed, sustained attention, and executive function, and may be able to serve as an indicator for the assessment or prediction of related cognitive functions.
Humans ; Cross-Sectional Studies ; Aged ; Middle Aged ; Nutrition Surveys ; Cognition ; Female ; Male ; Nutritional Status ; Risk Factors ; Geriatric Assessment

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment

Recent studies have identified a missense mutation in the β1-receptor (ADRB1-A187V) that exerts a pronounced impact on human sleep, with a noted decrease in protein abundance in vivo. The administration of β-blockers is frequently associated with sleep disturbances in clinical settings. In this study, we assessed the influence of various β-blockers on sleep within mouse models. Our findings indicated that β-blockers could induce varying degrees of arousal, sleep disruption, and a decrease in REMS (rapid eye movement sleep). We examined the dose-dependent effects of metoprolol and nebivolol on both sleep and cardiac functionality in both wild-type and Adrb1-A187V mutant mice. Our data suggested that, in contrast to cardiac effects, higher doses of metoprolol are required to have noted impact on sleep. No genotype effect was observed with metoprolol in terms of sleep or cardiac function. In contrast, the mutant mice demonstrated increased sensitivity to nebivolol, which exacerbated sleep fragmentation and impeded the onset of REMS. This study is expected to provide some reference for minimizing the occurrence of sleep disorders and reducing the adverse reactions of drugs to the greatest extent.

Objective To investigate the status of hearing impaired children's hearing device independence skills,and to explore the ways to improve their self-use of hearing equipment.Methods This study surveyed 64 re-habilitation teachers and 411 parents of children with hearing impairment aged 0-12 years.Through face-to-face or remote telephone interview,3 good habits(A asking parents for advice before removing the HA,B putting the de-vice into a moisture-proof box after removing it,C bringing batteries to school and knowing where are them)and 3 key abilities[D wearing the device independently,E replacing the battery independently,and F independently handle foreign bodies in the ear mold(Fa)and water vapor(Fb)]was investigated.The age when mastering skills or de-veloping habits difference of hearing impaired children in different groups were compared.Results ① The ratio of ability D in the bilateral CI group and the bilateral HA group of preschool children was 30.97％and 18.57％respec-tively.Among elementary school children,85.29％and 90.70％had this ability respectively.② The ratio of ability E in the bilateral CI group,the bilateral HA group and the bimodel group were 11.50％,15.71％and 16.49％,re-spectively.Among elementary school children,64.71％,53.49％and 68.52％had this ability,respectively.③Among preschool children,there was no statistical difference in age when different equipment groups developed the three good habits and acquired ability D and E(P＞0.05).④ Among primary school children,there was a statisti-cal difference in the age when different equipment groups formed habit A(P＜0.05),and the age when double CI group had this ability was slightly earlier than the double HA group.There was no significant difference in other abilities among age groups(P＞0.05).Conclusion The age at which hearing impaired children develop the three good habits precedes the age at which they master the key skills,which accords with the law of skill acquisition and development of ordinary children.Corresponding teaching process should be based on the age and ability of hearing-impaired children without considering the type of equipment.

Objective:A GC method was established for the determination of three potential genotoxic impuri-ties methyl ethanesulfonate,ethyl ethanesulfonate and isopropyl ethanesulfonate in baritinib raw materials.Methods:The chromatography was performed on Agilent J&W DB-1701(30 m×0.25 mm,1.0 μm)col-umn.The heating procedure was the initial temperature of 100℃,maintained for 3 min,at the rate of 5℃per minute to 180℃,maintained for 2 min,and then at the rate of 30℃per minute to 240℃,maintained for 5 min.The temperature of the injector was 240℃.The shunt ratio was 1∶10.The carrier gas was helium with a flow rate of 2.0 mL per minute.The temperature of the detector was 260℃and the injection volume was 2 μL.Results:The specificity,linearity and range,limit of quantification and detection,accuracy,pre-cision,repeatability and stability of the method meet the requirements.Conclusion:The analytical method is simple,accurate,sensitive and reproducible,and can be used for quality control of three potential genotoxic impurities in baritinib.

Objective:To analyze the levels of serum thymic stromal lymphopoietin (TSLP) and double-negative T lymphocytes (DNT) in children with bronchial asthma and their clinical significance.Methods:The clinical data of 147 children with bronchial asthma (study group) diagnosed and treated in Xi′an Children′s Hospital from January to March 2024 were retrospectively analyzed, and the clinical data of 120 children who underwent healthy physical examination in the hospital during the same period (control group) were selected. All subjects underwent serum TSLP and DNT detection. The study group was divided into controlled group (116 cases) and uncontrolled group (31 cases) according to the asthma control level. The levels of TSLP and DNT were compared between the two groups, and the factors affecting the asthma control level in children with bronchial asthma were analyzed. Receiver operating characteristic (ROC) curve was used to analyze the value of TSLP and DNT in predicting the asthma control level in children.Results:The serum TSLP level in the study group was higher than that in the control group, and the DNT level was lower than that in the control group (all P<0.05). The TSLP level, the proportion of severe cases, and the proportion of cases with family history of asthma in the uncontrolled group were higher than those in the controlled group, while the DNT level, age, and forced expiratory volume in the first second/forced vital capacity (FEV 1/FVC) were lower than those in the controlled group (all P<0.05). Multivariate stepwise logistic regression analysis showed that TSLP level ( OR=3.656, 95% CI: 2.091-6.392) and disease severity ( OR=2.561, 95% CI: 1.230-5.330) were independent risk factors affecting asthma control level in children, while DNT level ( OR=0.233, 95% CI: 0.122-0.442) and FEV 1/FVC level ( OR=0.287, 95% CI: 0.127-0.647) were independent protective factors (all P<0.05). ROC curve analysis showed that the sensitivities of TSLP, DNT, and their combination in predicting asthma control level were 74.20%, 71.00%, and 90.30% respectively; the specificities were 75.90%, 73.30%, and 91.40% respectively; the areas under the curve (AUC) were 0.821, 0.805, and 0.923 respectively (all P<0.05). Conclusions:Serum TSLP level is abnormally increased and DNT level is abnormally decreased in children with bronchial asthma. TSLP is an independent risk factor affecting asthma control level in children, and DNT is an independent protective factor. Combined detection of TSLP and DNT can better predict the asthma control status of patients in clinical practice.

Objective:To compare minimally invasive surgery with traditional open surgery, analyze the current application status of health economic evaluations in the treatment of digestive tract cancers, such as esophageal cancer, gastric cancer, and colorectal cancer by minimally invasive surgery and provide evidence for the rational selection of clinical treatment, alleviation of disease-related economic burdens, and rational allocation of healthcare resources.Methods:By using five databases, i.e. China National Knowledge Infrastructure, Wanfang data, Chinese Biomedical Literature Database, PubMed, and Embase, a database was established to retrieve all the papers about health economic studies of minimally invasive surgery for esophageal cancer, gastric cancer, and colorectal cancer published until December 31, 2023. Literature was analyzed by using software NoteExpress 3.8, and data were processed using Excel 2021. The quality of included papers was evaluated using the CHEERS 2022 checklist, and Meta-analysis was conducted by using software Stata 17.0.Results:A total of 10 919 relevant papers were retrieved, and 59 studies were included. Only 14 studies (23.7%) used standard health economic evaluation methods. Meta-analysis results revealed no significant differences in direct medical expenditure and total expenditure between minimally invasive surgery and open surgery. However, the expenditure for minimally invasive surgery exhibited a significant increase [mean difference ( MD)=5 973.12 yuan, P<0.001], while hospital stay and indirect expenditure significantly decreased ( MD: -4.85 days and -733.79 yuan, P<0.001). In China, for gastric cancer, the direct medical expenditure of endoscopic surgery was lower than that of open surgery ( MD=-33 000.00 yuan) with no significant difference ( P<0.001). In colorectal cancer cases, the direct medical and surgical expenditures for laparoscopic surgery were higher than those for open surgery ( MD: 4 277.94 yuan and 4 267.80 yuan, P<0.001), while the indirect and total medical expenditures decreased ( MD: -768.34 yuan and -159.10 yuan). Hospital stays in patients who had minimally invasive surgery for all three types of cancer were shorter than those who had open surgery ( P<0.001). Conclusions:In the treatment of gastrointestinal cancer, compared with open surgery, minimally invasive surgery shows higher expenditure, but has advantages, such as shorter hospital stay and lower indirect expenditure, and there were no significant differences in direct medical and total expenditures between the two approaches. When conducting health economic evaluation, factors such as postoperative complications, hospital stay, and patient's economic status should be considered for their impact on total medical expenditure. It is necessary to pay attention to the application of health economic evaluations in healthcare decision-making.