Objective To explore the effectiveness of the cumulative sum (CUSUM) and the exponentially weighted moving average (EWMA) for early warning of influenza epidemic using two datasets of reported influenza cases and influenza-like illness (ILI) cases. Methods Using the reported cases of influenza and ILI in Daxing District, Beijing, from week 23 of 2018 to week 22 of 2024 as data sets, the CUSUM and EWMA models were established, respectively. The positive rate of influenza etiology was used as the ^“gold standard^”, and the Youden index was used as the evaluation index to compare the early warning effect of the two models under different data sets and different parameters. Results In CUSUM, the optimal Youden indices of the reported influenza cases set and the ILI cases set were 0.751 and 0.635, respectively. In EWMA, the optimal Youden indices of the reported influenza cases set and the ILI cases set were 0.544 and 0.464, respectively. The optimal EWMA and CUSUM models could both issue early warning signals in advance of the ^“gold standard^”. Conclusion In the influenza epidemic early warning in Daxing District, Beijing, the CUSUM model established with the reported cases of influenza can achieve good early warning effects, but the model parameters need to be dynamically adjusted according to the local epidemic characteristics.

Objective To investigate the post-discharge exercise behavior and factors influencing moderate to vigorous intensity physical activity (MVPA) in patients undergoing lung surgery. Methods A total of 2874 patients from the large prospective, observational perioperative lung symptom study cohort (CN-PRO-Lung 3) in the Department of Thoracic Surgery at Sichuan Cancer Hospital between April 7, 2021, and January 31, 2024, were selected as the survey subjects. A survey was conducted using the Investigation of Exercise Behavior after Lung Surgery questionnaire and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) among patients who underwent lung surgery. Binary logistic regression was used to analyze the factors influencing patients’ engagement in MVPA. Results A total of 702 patients were surveyed, including 252 males and 450 females, with an average age of (52.4±10.2) years. Patients with lung cancer accounted for 85.9%. Only 36.0% of the patients had regular exercise habits, while 42.3% did not engage in any physical activity. The three main barriers for postoperative exercise were physical discomfort (pain, coughing, shortness of breath, etc, 54.7%), lack of professional guidance (41.7%), and concerns about the surgical wound (28.9%). The proportions of patients engaging in vigorous, moderate, and low-intensity physical activity were 5.7%, 28.2%, and 66.1%, respectively. Multivariate analysis showed that patients with a personal annual income ≥50000 yuan (OR=1.52, 95%CI 1.01-2.29, P=0.044), high school education or above (OR=1.92, 95%CI 1.33-2.76, P<0.001), and lobectomy (OR=1.44, 95%CI 1.02-2.03, P=0.037) engaged in more MVPA. Conclusion Patients undergoing lung surgery have inadequate physical activity after discharge, particularly lacking in MVPA. Patients with higher income, higher educational levels, and lobectomy are more frequently engaged in MVPA. Measures such as symptom control, providing exercise guidance, and enhancing education on wound care may potentially improve the inadequate physical activity in lung surgery patients after discharge.

A total of 1 557 cases were included in the Febrile Respiratory Syndrome (FRS) surveillance conducted in Daxing District between 2018 and 2023. Twelve respiratory pathogens were investigated: human influenza virus (HIFV), human respiratory syncytial virus (HRSV), human parainfluenza virus (HPIV), human rhinovirus (HRV), human enterovirus (HEV), human adenovirus (HadV), human metapneumovirus (HMPV), human bocavirus (HBoV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), human coronavirus (HCoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results demonstrated an overall pathogen detection rate of 25.31% (394/1 557), with descending prevalence as follows: HIFV, SARS-CoV-2, HRV, HPIV, MP, HCoV, HRSV, HEV, HMPV, HadV, HBoV, and CP. Temporal analysis revealed detection rates of 26.98% (150/556) for 2018-2019, 15.81% (95/601) for 2020-2022, and 37.25% (149/400) for 2023, showing statistically significant interannual variation (χ2=59.703, P<0.001). Compared with 2018-2019, 2023 exhibited significantly elevated detection rates for HIFV and HMPV ( P<0.05), while HRV, MP, HEV, and HBoV demonstrated significantly reduced rates ( P<0.05). Age-stratified analysis identified HIFV, HRSV, and HadV as the predominant pathogens in individuals aged <15 years, whereas SARS-CoV-2, HIFV, and HRV predominated in those aged ≥60 years.

Objective To evaluate the relationship between systemic inflammation makers and bone mineral density(BMD)in male patients with type 2 diabetes(T2DM).Methods A total of 261 male patients with T2DM were selected and divided into three groups based on diagnostic criteria:the normal bone mass group(96 cases),the reduced bone mass group(111 cases)and the osteoporosis group(54 cases).Differences in systemic inflammation markers and bone metabolic markers were compared between the three groups.Multivariate ordered Logistic regression analysis was used to investigate factors influencing the progression from normal bone mass to osteoporosis in male patients with T2DM.Receiver operating characteristic(ROC)curves were used to evaluate the predictive value of inflammatory markers for osteoporosis in male patients with T2DM.Correlation analysis was conducted to investigate the correlation between inflammatory markers and BMD and bone turnover markers(BTM)in male patients with T2DM.Results Platelet count(PLT),platelet-to-lymphocyte ratio(PLR),systemic inflammatory index(SII)and neutrophil-to-lymphocyte ratio(NLR)were significantly higher in the osteoporosis group than those in the normal bone mass group(P＜0.05).Multivariate ordered Logistic regression analysis showed that PLR and SII were risk factors for the progression from normal bone mass to osteoporosis in male patients with T2DM(P＜0.05).The area under the ROC curve of PLR was 0.590,and the cut-off value was 96.67.The area under the curve of SII was 0.613,with a cut-off value of 307.9,and the area under the combined curve of the above two indicators was 0.612.In patients with osteoporosis and osteopenia,SII,PLR and PLT were negatively correlated with L1-4 BMD and left hip BMD(P＜0.05).SII was also negatively correlated with left femoral neck BMD(P＜0.05).Conclusion Inflammatory markers PLR and SII have predictive values for the progression from normal bone mass to bone loss and osteoporosis in male patients with T2DM.

Perioperative rehabilitation aims to alleviate symptoms,restore function,and improve quality of life.These goals largely involve subjective patient experiences,which are not fully captured by traditional outcome measures.In recent years,patient-reported outcomes(PROs)have emerged as essential tools to quantify patients'perceptions of health and have been widely used in drug and device clinical trials.This review summarizes the current applications of PROs in general surgery,including symptom description,comparison of surgical methods,complication warning,and patient management.Practical cases and evidence from domestic and international studies are discussed.With the integration of electronic PROs(ePROs),artificial intelligence,and natural language processing,future efforts should focus on developing localized,specialty-specific tools and establishing stronger correlations between PROs and clinical outcomes to support the transition from disease-centered to patient-centered surgical care.

Perioperative rehabilitation aims to alleviate symptoms,restore function,and improve quality of life.These goals largely involve subjective patient experiences,which are not fully captured by traditional outcome measures.In recent years,patient-reported outcomes(PROs)have emerged as essential tools to quantify patients'perceptions of health and have been widely used in drug and device clinical trials.This review summarizes the current applications of PROs in general surgery,including symptom description,comparison of surgical methods,complication warning,and patient management.Practical cases and evidence from domestic and international studies are discussed.With the integration of electronic PROs(ePROs),artificial intelligence,and natural language processing,future efforts should focus on developing localized,specialty-specific tools and establishing stronger correlations between PROs and clinical outcomes to support the transition from disease-centered to patient-centered surgical care.

Objective To evaluate the relationship between systemic inflammation makers and bone mineral density(BMD)in male patients with type 2 diabetes(T2DM).Methods A total of 261 male patients with T2DM were selected and divided into three groups based on diagnostic criteria:the normal bone mass group(96 cases),the reduced bone mass group(111 cases)and the osteoporosis group(54 cases).Differences in systemic inflammation markers and bone metabolic markers were compared between the three groups.Multivariate ordered Logistic regression analysis was used to investigate factors influencing the progression from normal bone mass to osteoporosis in male patients with T2DM.Receiver operating characteristic(ROC)curves were used to evaluate the predictive value of inflammatory markers for osteoporosis in male patients with T2DM.Correlation analysis was conducted to investigate the correlation between inflammatory markers and BMD and bone turnover markers(BTM)in male patients with T2DM.Results Platelet count(PLT),platelet-to-lymphocyte ratio(PLR),systemic inflammatory index(SII)and neutrophil-to-lymphocyte ratio(NLR)were significantly higher in the osteoporosis group than those in the normal bone mass group(P＜0.05).Multivariate ordered Logistic regression analysis showed that PLR and SII were risk factors for the progression from normal bone mass to osteoporosis in male patients with T2DM(P＜0.05).The area under the ROC curve of PLR was 0.590,and the cut-off value was 96.67.The area under the curve of SII was 0.613,with a cut-off value of 307.9,and the area under the combined curve of the above two indicators was 0.612.In patients with osteoporosis and osteopenia,SII,PLR and PLT were negatively correlated with L1-4 BMD and left hip BMD(P＜0.05).SII was also negatively correlated with left femoral neck BMD(P＜0.05).Conclusion Inflammatory markers PLR and SII have predictive values for the progression from normal bone mass to bone loss and osteoporosis in male patients with T2DM.

Ergonomic Principle for the Prevention of Work-Related Musculoskeletal Disorders Part 1: General Principles (T/WSJD 14.1-2020) is the first guideline standard for the prevention of work-related musculoskeletal disorders provided to employers and occupational health technical service institutions in China, which covers ergonomic risk factors and their hazard definition, ergonomic prevention principles, risk assessment process, risk control process and risk evaluation principles. The standard specifically clarify the specific types of adverse ergonomic risk factors and control strategies and the standard process of systematic ergonomic risk assessment, providing implementation paths and practical guidance for eliminating/reducing adverse ergonomic risks and enhance workplace environments to prevent work-related musculoskeletal disorders. This paper interprets and analyzes the background of standard establishment, formulation process, fundamental basis, and main content, etc., to provide scientific and accurate technical support for enterprise managers, labours and technical personnel of occupational health institutions to optimize the use of this standard.

Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

A total of 1 557 cases were included in the Febrile Respiratory Syndrome (FRS) surveillance conducted in Daxing District between 2018 and 2023. Twelve respiratory pathogens were investigated: human influenza virus (HIFV), human respiratory syncytial virus (HRSV), human parainfluenza virus (HPIV), human rhinovirus (HRV), human enterovirus (HEV), human adenovirus (HadV), human metapneumovirus (HMPV), human bocavirus (HBoV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), human coronavirus (HCoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results demonstrated an overall pathogen detection rate of 25.31% (394/1 557), with descending prevalence as follows: HIFV, SARS-CoV-2, HRV, HPIV, MP, HCoV, HRSV, HEV, HMPV, HadV, HBoV, and CP. Temporal analysis revealed detection rates of 26.98% (150/556) for 2018-2019, 15.81% (95/601) for 2020-2022, and 37.25% (149/400) for 2023, showing statistically significant interannual variation (χ2=59.703, P<0.001). Compared with 2018-2019, 2023 exhibited significantly elevated detection rates for HIFV and HMPV ( P<0.05), while HRV, MP, HEV, and HBoV demonstrated significantly reduced rates ( P<0.05). Age-stratified analysis identified HIFV, HRSV, and HadV as the predominant pathogens in individuals aged <15 years, whereas SARS-CoV-2, HIFV, and HRV predominated in those aged ≥60 years.