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）］

Background The power industry is characterized by typical shift work systems, with 24-hour uninterrupted work demands, high intensity and high standard job characteristics, as well as emergent task pressure, which exposes employees to the long-term dual pressure of shift work and occupational stress and may lead to occupational burnout. It not only endangers the physical and mental health of employees, but also threaten the safe and stable operation of the power system. Objective To explore the impact of shift work and occupational stress, as well as their potential interaction, on occupational burnout among employees in power enterprises. Methods From November 2024 to April 2025, cluster sampling was used to select 1378 workers from two power companies in Fuzhou. A self-designed questionnaire, the Effort-Reward Imbalance model, and the Maslach Burnout Inventory were used to investigate the participants’ general information，shift work patterns, occupational stress, and occupational burnout. Statistical analysis was conducted using SPSS 19.0 software. Chi-square test was employed for intergroup comparison. Logistic regression was used to examine the associations between shift work, occupational stress, and job burnout. The multiplicative interaction and additive interaction between shift work and occupational stress on occupational burnout were evaluated. Results A total of 1378 questionnaires were distributed, and 1113 were valid questionnaires, with an effective rate of 80.77%. Among the participants, 37.92% were engaged in shift work, the positive rate of occupational stress was 29.83%, and the positive rate of occupational burnout was 55.80%. The logistic regression analysis showed that after adjusting for confounding factors, the risks of occupational burnout in the non-shift x occupational stress group and the shift x occupational stress group were 1.59 times (95%CI: 1.12, 2.27; P=0.01) and 4.07 times (95%CI: 2.56, 6.45; P<0.01) higher than that in the non-shift x non-occupational stress group. A multiplicative interaction (shift work and occupational stress b=0.75, P=0.01, OR=2.12, 95%CI: 1.18, 3.80) and an additive interaction (relative excess risk ratio=2.24, 95%CI: 0.54, 3.94; attributable fraction=0.55, 95%CI: 0.32, 0.78; interaction index=3.71, 95%CI: 1.47, 9.40) between shift work and occupational stress on job burnout were identified. Conclusion Shift work and occupational stress are risk factors for occupational burnout among employees in power enterprises, and there is a synergistic interaction between these two factors in terms of their impact on occupational burnout.

Military training represents one of the most essential activities for troops during peacetime,of which the prevention and treatment of training-induced injuries are a very important part.Recent findings of research suggest that cold atmospheric plasma(CAP)exhibits a distinctive and multifaceted superiority in terms of broad-spectrum sterilization,rapid blood coagulation and healing promotion for wounds.Consequently,CAP has good prospects of applications in diverse fields such as clinical medicine,emergency rescue and military medicine.Based on a review of the research progress in plasma medicine,the applicability of CAP in the prevention and treatment of military training injuries was discussed in this paper by focusing on the urgent issues related to military training injury,including the typical application scenarios and methods for CAP,the safety and effectiveness of plasma trauma prevention and treatment,and the key issues facing the prevention and treatment of military training injuries.

Summarizing the nursing experience of nutritional support therapy during the perioperative period for a child with short bowel syndrome undergoing small intestine transplantation.Nursing key points:dynamic assessment of nutritional risk,development and timely adjustment of nutritional support programs;implementation of nutritional support strategies to promote growth and development;combination with exercise interventions to improve nutritional status;to strengthen the monitoring of rejection,to promote the recovery of intestinal function;to strengthen the continuity of care,and do a good job of nutritional monitoring and guidance.After 141 days of careful treatment and nursing care,the child was discharged successfully.

Objective:To construct a predictive model for urinary tract infection in patients with cervical spine fracture based on the random forest (RF) algorithm and evaluate its predictive performance.Methods:A retrospective cohort study was conducted to analyze the clinical data of 400 patients with cervical spine fracture admitted to West China Hospital of Sichuan University from October 2020 to February 2025, including 311 males and 89 females, aged 12-87 years [(48.5±14.8)years]. According to the occurrence of urinary tract infection during hospital stay, the patients were divided into urinary tract infection group ( n=57) and non-urinary tract infection group ( n=343). General information, disease-related data, and serological laboratory indicators during hospital stay were recorded in both groups. Viriables for urinary tract infection in patients with cervical spine fracture were analyzed and identified through univariate analysis and Lasso regression analysis. Using the bootstrap method with 500 resamples, the data were randomly allocated into the training set ( n=281) and test set ( n=119) at a ratio of 7∶3. An RF prediction model for urinary tract infection in patients with cervical spine fracture was constructed in the training set and the variable importance for the model was calculated. The constructed RF prediction model was validated in the test set, with the predictive accuracy, sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC) calculated to evaluate its predictive performance. Results:Univariate analysis showed that age, body mass index (BMI), length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, immunosuppressant use, fracture site, cervical spinal cord injury, Frankel grade, time from injury to surgery, red blood cell count (RBC), hemoglobin (Hb), white blood cell count (WBC), albumin (Alb), globulin (GLO), blood urea nitrogen (BUN), and C-reactive protein (CRP) were significantly associated with urinary tract infection in patients with cervical spine fracture ( P<0.05). Among them, 9 viriables screened through Lasso regression analysis were age, length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, Frankel grade, time from injury to surgery, and RBC. Based on the 9 viriables, a predictive model for urinary tract infection in patients with cervical spine fracture was constructed using the RF algorithm. Based on the mean decrease in Gini coefficient in the RF model, the top 6 important variables were duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, and Frankel grade in sequence. In the test set, the model achieved a prediction accuracy of 87.4%, sensitivity of 88.2%, specificity of 82.4%, and AUC of 0.89 (95% CI 0.80, 0.93). Conclusion:The RF prediction model for urinary tract infection in patients with cervical spine fracture is constructed based on 9 predictors including duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, Frankel grade, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, and indwelling catheterization, with the first 6 viriables ranked as the most important factors, and demonstrates favorable predictive performance.

Objective:To explore the efficacy and feasibility of hypomethylating agent (HMA) as preventive therapy in children with high-risk acute myeloid leukemia (AML) after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:A retrospective cohort study. Data from 173 children who underwent allo-HSCT for high-risk AML at Children′s Hospital of Soochow University between August 2019 and April 2023 were analyzed. Participants were categorized into a trial group receiving HMA and a control group. Further classification was based on HMA courses:≥4 and <4 courses. The efficacy and safety of HMA preventive treatment after allo-HSCT were evaluated. Survival analysis was performed using the Kaplan-Meier method with Log-Rank testing, the Fine-Gray model was used to assess cumulative relapse rates and Cox regression was used to identify prognostic factors. Adverse events during HMA were descriptively analyzed.Results:Among 173 patients, there were 100 males (57.8%) and 73 females (42.2%), with the age of 81 (34,127) months. The starting time of HMA was 123 (91, 191) d post-transplant, continuing 4.0 (3.0, 6.5) courses and the follow-up period was 24 (13, 32) months. The trial group (53 cases) showed better 2-year overall survival (OS) rate ((88.6±5.6)% vs. (76.6±4.3)%, χ 2=5.00, P=0.025) and relapse-free survival (RFS) rate ((89.2±4.7)% vs. (56.2±4.8)%, χ 2=15.75, P<0.001) than control group (120 cases). The 2-year OS rates and RFS rates were similar between ≥4 courses group (31 cases) and <4 courses group (22 cases)(both P>0.05). The cumulative relapse rate in the trial group was significantly lower ((10.8±0.2)% vs. (35.2±0.2)%, χ 2=10.84, P=0.001) than control group. Among children with molecular relapse, 8 cases (8/30, 26.7%) in the control group had hematological relapse compared to 1 case (1/2) in the trial group ( χ 2=0.81, P=0.369). The differences in incidence of acute and chronic graft-versus-host disease (GVHD) were not statistically significant (all P>0.05). Cox regression analysis revealed that minimal residual disease (MRD) positivity detected by flow cytometry before allo-HSCT and chronic GVHD were independent risk factors for OS (both P<0.05).The HMA preventive treatment was an independent protective factor for RFS, while age ≥10 years and MRD positivity detected by PCR before allo-HSCT were independent risk factors for RFS (all P<0.05). In trial group, 38 cases experienced grade 3 to 4 adverse events (71.7%). Conclusion:HMA is safe as preventive treatment in post-transplant children with high-risk AML, which can reduce the relapse risk and doesn't increase the risk of GVHD.

Objective:To evaluate the efficacy and safety of cord blood stem cell transplantation (CBSCT) in pediatric recipients with mucopolysaccharidosis type Ⅱ (MPS Ⅱ, Hunter syndrome).Methods:Clinical data of five male children with MPS Ⅱ who underwent CBSCT at the Department of Hematology, Children's Hospital of Soochow University between March 2018 and July 2023 were retrospectively analyzed. Post-transplantation clinical outcomes and enzymatic activity were observed. Literature was searched in the China National Knowledge Infrastructure (CNKI), Wanfang, and PubMed databases using the keywords "mucopolysaccharidosis type Ⅱ" "MPS Ⅱ" "IDS gene" and "Hunter syndrome" in both English and Chinese. Articles describing clinical manifestations, genetic diagnosis, and hematopoietic stem cell transplantation (HSCT) in MPS II were screened.Results:All five patients were male, with a median age at diagnosis of 4.3(2.5-5.5) years and a median age at transplantation of 4.6(2.8-6.5) years. At diagnosis, all exhibited coarse facial features, hepatosplenomegaly, skeletal deformities or abnormalities, abnormal head MRI findings, and Mongolian spots; four had joint stiffness, three had valvular heart disease, and two had airway obstruction, short stature, and intellectual disability. Three recipients received single-unit cord blood, and two received double-unit cord blood. Myeloablative conditioning regimens consisted of busulfan, cyclophosphamide, anti-thymocyte globulin ± fludarabine. The median neutrophil engraftment and platelet engraftment times were 19(14-21) days and 26(15-44) days, respectively. Complete donor chimerism was achieved at 1 month post-transplantation. Complications included peri-engraftment syndrome in 5 cases, acute graft-versus-host disease (GVHD) in 2 cases (1 with grade Ⅳ skin and grade Ⅱ intestinal involvement; 1 with grade Ⅱ skin involvement), limited chronic GVHD in 1 case (moderate intestinal involvement), cytomegalovirus (CMV) infection in 3 cases, Epstein-Barr virus (EBV) infection in 1 case, and capillary leak syndrome in 1 case; all were successfully managed. At the last follow-up in December 2023, all patients were alive, and enzyme activity had normalized by 3 months post-transplantation. Most clinical symptoms and signs improved; however, neurocognitive function showed no significant improvement, and some recipients exhibited progressive brain parenchymal changes on MRI. Literature review included 7 English and 5 Chinese studies, indicating that CBSCT and other HSCT modalities can improve multi-system clinical manifestations in MPS Ⅱ children, including restoration of enzyme activity, organ function improvement (such as liver and spleen shrinkage, adenoid reduction), enhanced motor function, and stabilization of neurocognitive function. Some studies suggest superior efficacy compared with enzyme replacement therapy, particularly in delaying disease progression and improving daily living abilities.Conclusion:CBSCT effectively restores enzymatic activity and improves multi-system manifestations in children with MPS Ⅱ, although its effect on neurological symptoms remains controversial. It is a safe and feasible therapeutic option for this condition.

Summarizing the nursing experience of nutritional support therapy during the perioperative period for a child with short bowel syndrome undergoing small intestine transplantation.Nursing key points:dynamic assessment of nutritional risk,development and timely adjustment of nutritional support programs;implementation of nutritional support strategies to promote growth and development;combination with exercise interventions to improve nutritional status;to strengthen the monitoring of rejection,to promote the recovery of intestinal function;to strengthen the continuity of care,and do a good job of nutritional monitoring and guidance.After 141 days of careful treatment and nursing care,the child was discharged successfully.

Objective:To construct a predictive model for urinary tract infection in patients with cervical spine fracture based on the random forest (RF) algorithm and evaluate its predictive performance.Methods:A retrospective cohort study was conducted to analyze the clinical data of 400 patients with cervical spine fracture admitted to West China Hospital of Sichuan University from October 2020 to February 2025, including 311 males and 89 females, aged 12-87 years [(48.5±14.8)years]. According to the occurrence of urinary tract infection during hospital stay, the patients were divided into urinary tract infection group ( n=57) and non-urinary tract infection group ( n=343). General information, disease-related data, and serological laboratory indicators during hospital stay were recorded in both groups. Viriables for urinary tract infection in patients with cervical spine fracture were analyzed and identified through univariate analysis and Lasso regression analysis. Using the bootstrap method with 500 resamples, the data were randomly allocated into the training set ( n=281) and test set ( n=119) at a ratio of 7∶3. An RF prediction model for urinary tract infection in patients with cervical spine fracture was constructed in the training set and the variable importance for the model was calculated. The constructed RF prediction model was validated in the test set, with the predictive accuracy, sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC) calculated to evaluate its predictive performance. Results:Univariate analysis showed that age, body mass index (BMI), length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, immunosuppressant use, fracture site, cervical spinal cord injury, Frankel grade, time from injury to surgery, red blood cell count (RBC), hemoglobin (Hb), white blood cell count (WBC), albumin (Alb), globulin (GLO), blood urea nitrogen (BUN), and C-reactive protein (CRP) were significantly associated with urinary tract infection in patients with cervical spine fracture ( P<0.05). Among them, 9 viriables screened through Lasso regression analysis were age, length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, Frankel grade, time from injury to surgery, and RBC. Based on the 9 viriables, a predictive model for urinary tract infection in patients with cervical spine fracture was constructed using the RF algorithm. Based on the mean decrease in Gini coefficient in the RF model, the top 6 important variables were duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, and Frankel grade in sequence. In the test set, the model achieved a prediction accuracy of 87.4%, sensitivity of 88.2%, specificity of 82.4%, and AUC of 0.89 (95% CI 0.80, 0.93). Conclusion:The RF prediction model for urinary tract infection in patients with cervical spine fracture is constructed based on 9 predictors including duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, Frankel grade, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, and indwelling catheterization, with the first 6 viriables ranked as the most important factors, and demonstrates favorable predictive performance.

Objective:To explore the efficacy and feasibility of hypomethylating agent (HMA) as preventive therapy in children with high-risk acute myeloid leukemia (AML) after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:A retrospective cohort study. Data from 173 children who underwent allo-HSCT for high-risk AML at Children′s Hospital of Soochow University between August 2019 and April 2023 were analyzed. Participants were categorized into a trial group receiving HMA and a control group. Further classification was based on HMA courses:≥4 and <4 courses. The efficacy and safety of HMA preventive treatment after allo-HSCT were evaluated. Survival analysis was performed using the Kaplan-Meier method with Log-Rank testing, the Fine-Gray model was used to assess cumulative relapse rates and Cox regression was used to identify prognostic factors. Adverse events during HMA were descriptively analyzed.Results:Among 173 patients, there were 100 males (57.8%) and 73 females (42.2%), with the age of 81 (34,127) months. The starting time of HMA was 123 (91, 191) d post-transplant, continuing 4.0 (3.0, 6.5) courses and the follow-up period was 24 (13, 32) months. The trial group (53 cases) showed better 2-year overall survival (OS) rate ((88.6±5.6)% vs. (76.6±4.3)%, χ 2=5.00, P=0.025) and relapse-free survival (RFS) rate ((89.2±4.7)% vs. (56.2±4.8)%, χ 2=15.75, P<0.001) than control group (120 cases). The 2-year OS rates and RFS rates were similar between ≥4 courses group (31 cases) and <4 courses group (22 cases)(both P>0.05). The cumulative relapse rate in the trial group was significantly lower ((10.8±0.2)% vs. (35.2±0.2)%, χ 2=10.84, P=0.001) than control group. Among children with molecular relapse, 8 cases (8/30, 26.7%) in the control group had hematological relapse compared to 1 case (1/2) in the trial group ( χ 2=0.81, P=0.369). The differences in incidence of acute and chronic graft-versus-host disease (GVHD) were not statistically significant (all P>0.05). Cox regression analysis revealed that minimal residual disease (MRD) positivity detected by flow cytometry before allo-HSCT and chronic GVHD were independent risk factors for OS (both P<0.05).The HMA preventive treatment was an independent protective factor for RFS, while age ≥10 years and MRD positivity detected by PCR before allo-HSCT were independent risk factors for RFS (all P<0.05). In trial group, 38 cases experienced grade 3 to 4 adverse events (71.7%). Conclusion:HMA is safe as preventive treatment in post-transplant children with high-risk AML, which can reduce the relapse risk and doesn't increase the risk of GVHD.