Work-related musculoskeletal disorders (WMSDs) represent a significant occupational health challenge among healthcare professionals globally, posing substantial threats to physical and mental well-being as well as work sustainability. Adopting preventive behaviors—including ergonomic postural adjustments, optimized work-rest scheduling, proper use of protective and assistive equipment, and regular physical activity—is essential for mitigating the risk of WMSDs. Guided by the social ecological model, the review synthesized current evidence on the determinants of WMSDs preventive behaviors across four levels: intrapersonal characteristics, work environment conditions, interpersonal support, and policy/institutional factors. The findings suggest that higher educational attainment, favorable health-related behavioral patterns, optimized ergonomic work environments, adoption of supportive collaborative systems, strong organizational support, as well as policy safeguards facilitate preventive behavior adoption. Conversely, limited prevention-related knowledge, low risk perception, insufficient physical activity, excessive workload, lack of appropriate protective equipment, inadequate ergonomic training, a prevailing culture of presenteeism, and inadequate policy implementation constitute significant barriers. Multi-dimensional intervention strategies targeting these determinants are warranted to enhance preventive behaviors, reduce the risk of WMSDs, and strengthen occupational health protection for healthcare professionals.

Objective: To develop and validate a clinically actionable prediction model for postoperative pulmonary complications (PPCs) in cardiac surgery patients, focusing on modifiable preoperative risk factors amenable to targeted optimization. Methods: In this prospective observational cohort study, 492 adults undergoing open-chest cardiac surgery between August 15, 2023 and December 31, 2023 were analyzed. Prespecified predictors included gas exchange variables, pulmonary function, inspiratory muscle strength, and physical performance. Univariable and multivariable logistic regression analyses were used to develop the prediction model. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC). Results: A total of 90 patients (14.1%) developed PPCs after surgery. Five independent predictors were identified: elevated arterial PaCO2 (odds ratio [OR] 1.12, 95% confidence interval [CI] 1.00–1.26), oxygen desaturation (SpO2<93%) (OR 12.47, 95% CI 3.51–48.13), reduced gait speed (OR 0.17, 95% CI 0.04–0.71), lower FEV1/FVC ratio (OR 0.96, 95% CI 0.92–1.00), and diminished inspiratory muscle strength (MIP % predicted) (OR 0.96, 95% CI 0.92–0.99). The model demonstrated good discriminative ability with an AUC of 0.86 (95% CI 0.80–0.93) in the training cohort and 0.87 (95% CI 0.74–0.93) in the validation cohort. Conclusion This parsimonious model achieved high predictive accuracy using five modifiable physiological variables. By targeting abnormalities in gas exchange, pulmonary mechanics, muscle strength, and functional reserve, the model offers a practical tool to guide individualized prehabilitation strategies for reducing PPC risk in cardiac surgery patients.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Pyroptosis,a form of programmed cell death primarily mediated by gasdermin D(GSD-MD),plays a crucial role in infections and inflammatory responses.Although the OTU deubiquiti-nase 4(OTUD4)has shown its importance in various cellular processes,its specific function in py-roptosis remains unclear,which necessitates a deeper understanding of its role.This study aims to explore the role of OTUD4 in regulating GSDMD-mediated pyroptosis.Through experiments inclu-ding cell transfection,lactate dehydrogenase(LDH)release assays,co-immunoprecipitation(Co-IP),and Western blot(WB)analysis,we investigated the interaction between OTUD4 and GSD-MD and their influence on GSDMD-mediated pyroptosis.Our results indicated that OTUD4 could bind to GSDMD,significantly reduce Caspase-1-mediated cleavage of GSDMD,and lower protein levels of GSDMD-p30,thereby inhibiting pyroptosis.Conversely,the enzymatically inactive mutant of OTUD4(C45A)exhibited a markedly diminished inhibitory effect on pyroptosis.Furthermore,OTUD4 also demonstrated a significant inhibitory effect on pyroptosis in porcine cells.In conclu-sion,this study reveals that OTUD4 can inhibit GSDMD-p30-mediated pyroptosis through its deu-biquitinating activity,highlighting the critical function of OTUD4 in the regulation of pyroptosis and suggesting a potential target for the development of new therapeutic strategies.

Objective To investigate the risk of chronic obstructive pulmonary disease(COPD)after asthma and explore factors influen-cing the onset and progression of asthma in patients with COPD.Methods A follow-up cohort was established based on the United Kingdom Biobank(UKB)database.The risk of asthma and COPD was predicted,and the influencing factors were analyzed using a mul-tistate model(MSM).Results Without considering the influence of covariates,the cumulative risk from COPD to mortality was the highest,followed by asthma to COPD,and asthma to mortality.Advanced age,male,diabetes mellitus(DM),high waist-to-hip ratio,hyper-tension,increased Townsend deprivation index,increased frequency of smoking,and family history were risk factors for developing COPD in the asthmatic population.Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,and in creased frequency of smoking were risk factors for mortality in the asthmatic population.Advanced age,male,and DM and increased Townsend deprivation index were risk factors for mortality in the COPD population.Conclusion Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,increased smoking frequency,and family history increased the risk of COPD in the asthmatic population.This MSM can be used to predict the influencing factors and degree of COPD after asthma,and reveal the change law of disease progression.

The global prevalence of obesity continues to rise, accompanied by various metabolic complications. While metabolic surgery has significant efficacy, there are still problems, such as suboptimal clinical outcomes and recurrent weight gain. The superior metabolic regulatory of glucagon-like peptide-1 (GLP-1) receptor agonists has made them a new option for bariatric treatment. This article systematically explored the clinical application framework of combining metabolic surgery with GLP-1 receptor agonists, including target populations (e.g., patients with postoperative weight regain, unremitted diabetes, or comorbid complications), intervention timing, drug selection strategies, and multidisciplinary collaboration pathways. Although combination therapy holds broad prospects, it still faces challenges, such as optimal treatment strategies, long-term safety, and cost-effectiveness. We should emphasize multidisciplinary collaboration and individualized plans to optimize the long-term effective management of obesity in the future.

Pyroptosis,a form of programmed cell death primarily mediated by gasdermin D(GSD-MD),plays a crucial role in infections and inflammatory responses.Although the OTU deubiquiti-nase 4(OTUD4)has shown its importance in various cellular processes,its specific function in py-roptosis remains unclear,which necessitates a deeper understanding of its role.This study aims to explore the role of OTUD4 in regulating GSDMD-mediated pyroptosis.Through experiments inclu-ding cell transfection,lactate dehydrogenase(LDH)release assays,co-immunoprecipitation(Co-IP),and Western blot(WB)analysis,we investigated the interaction between OTUD4 and GSD-MD and their influence on GSDMD-mediated pyroptosis.Our results indicated that OTUD4 could bind to GSDMD,significantly reduce Caspase-1-mediated cleavage of GSDMD,and lower protein levels of GSDMD-p30,thereby inhibiting pyroptosis.Conversely,the enzymatically inactive mutant of OTUD4(C45A)exhibited a markedly diminished inhibitory effect on pyroptosis.Furthermore,OTUD4 also demonstrated a significant inhibitory effect on pyroptosis in porcine cells.In conclu-sion,this study reveals that OTUD4 can inhibit GSDMD-p30-mediated pyroptosis through its deu-biquitinating activity,highlighting the critical function of OTUD4 in the regulation of pyroptosis and suggesting a potential target for the development of new therapeutic strategies.

Objective To investigate the risk of chronic obstructive pulmonary disease(COPD)after asthma and explore factors influen-cing the onset and progression of asthma in patients with COPD.Methods A follow-up cohort was established based on the United Kingdom Biobank(UKB)database.The risk of asthma and COPD was predicted,and the influencing factors were analyzed using a mul-tistate model(MSM).Results Without considering the influence of covariates,the cumulative risk from COPD to mortality was the highest,followed by asthma to COPD,and asthma to mortality.Advanced age,male,diabetes mellitus(DM),high waist-to-hip ratio,hyper-tension,increased Townsend deprivation index,increased frequency of smoking,and family history were risk factors for developing COPD in the asthmatic population.Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,and in creased frequency of smoking were risk factors for mortality in the asthmatic population.Advanced age,male,and DM and increased Townsend deprivation index were risk factors for mortality in the COPD population.Conclusion Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,increased smoking frequency,and family history increased the risk of COPD in the asthmatic population.This MSM can be used to predict the influencing factors and degree of COPD after asthma,and reveal the change law of disease progression.

Objective To investigate the relationship between the levels of CD4+/CD8+and D-dimer(D-D)in peripheral blood and the outcome of Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis(EBV-HLH).Methods Ninety patients with EBV-HLH who were treated in Beijing Friendship Hospital from September 2021 to August 2023 were included as observation group,and additional 90 patients with infectious mononucleosis(IM)treated in the hospital contemporarily were selected as the control group.The levels of CD4+/CD8+and D-D in peripheral blood were compared between the two groups of patients to examine the correlation between the levels of CD4+/CD8+and D-D in peripheral blood and EBV-DNA load in patients with EBV-HLH,compare the outcome of patients within 3 months in terms of the levels of CD4+/CD8+and D-D in peripheral blood,evaluate the effects of CD4+/CD8+and D-D levels in peripheral blood on the risk of death from EBV-HLH,and analyze the interaction between the levels of CD4+/CD8+and D-D in peripheral blood.Results The patients in observation group showed significantly lower peripheral blood CD4+/CD8+ratio and significantly higher D-D than the patients in control group(P＜0.05).The peripheral blood CD4+/CD8+ratio was negatively correlated with EBV-DNA load(P＜0.05),and D-D was positively correlated with EBV-DNA load(P＜0.05)in EBV-HLH patients.The patients with high peripheral blood CD4+/CD8+ratio were assocaited with lower 3-month mortality rate compared to the patients with low CD4+/CD8+ratio.The patients with high D-D level were associated with higher 3-month mortality rate compared to the patients with low D-D level(P＜0.05).In EBV-HLH patients with low levels of peripheral blood CD4+/CD8+,the risk of death was 6.125 times that of the patients with high levels of CD4+/CD8+.High level D-D was associated with 14.348 times risk of death compared to the patients with low level D-D.CD4+/CD8+and D-D had synergistic effect on death of EBV-HLH patients.Conclusions Peripheral blood CD4+/CD8+levels decreased and D-D levels increased in EBV-HLH patients.Peripheral blood CD4+/CD8+levels and D-D levels and their changes may be useful for predicting the outcome of patients.