Chronic obstructive pulmonary disease（COPD） is a common chronic respiratory disorder frequently accompanied by diaphragmatic dysfunction during its course， which significantly increases respiratory burden and impairs quality of life. As the primary inspiratory muscle， the diaphragm is prone to fatigue， atrophy， inflammation， and fibrosis during the long-term progression of COPD. Its pathological mechanisms involve multiple pathways such as inflammatory responses， oxidative stress， mitochondrial dysfunction， apoptosis， ion channel abnormalities， epigenetic regulation， autophagy disorder， and protein metabolism imbalance. In recent years， traditional Chinese medicine（TCM） has demonstrated multi-targeted and systemic regulatory advantages in improving diaphragmatic function in COPD. However， related studies remain fragmented， and integrated mechanistic understanding is lacking. This paper focuses on the mechanism-target-TCM intervention framework， systematically summarizing the molecular mechanisms of diaphragmatic dysfunction， while incorporating the TCM theory of Zongqi（ancestral Qi）. It highlights the therapeutic effects of Chinese herbal formulas， single herbs， and active components in modulating inflammation， oxidative stress， mitochondrial function， ion channels， epigenetic processes， autophagy， and protein homeostasis. Additionally， the review outlines existing challenges， including insufficient study volume， unbalanced selection of herbal prescriptions， limited mechanistic depth， inconsistent disease models and experimental designs， lack of standardized diaphragmatic function assessment， and weak clinical validation. Future research should strengthen the integration of TCM and modern medicine， identify additional therapeutic targets， deepen mechanistic research， and establish unified and standardized experimental systems to advance the theoretical foundation and clinical application of TCM in the prevention and treatment of COPD-related diaphragmatic dysfunction.

Chronic obstructive pulmonary disease（COPD） is a common chronic respiratory disorder frequently accompanied by diaphragmatic dysfunction during its course， which significantly increases respiratory burden and impairs quality of life. As the primary inspiratory muscle， the diaphragm is prone to fatigue， atrophy， inflammation， and fibrosis during the long-term progression of COPD. Its pathological mechanisms involve multiple pathways such as inflammatory responses， oxidative stress， mitochondrial dysfunction， apoptosis， ion channel abnormalities， epigenetic regulation， autophagy disorder， and protein metabolism imbalance. In recent years， traditional Chinese medicine（TCM） has demonstrated multi-targeted and systemic regulatory advantages in improving diaphragmatic function in COPD. However， related studies remain fragmented， and integrated mechanistic understanding is lacking. This paper focuses on the mechanism-target-TCM intervention framework， systematically summarizing the molecular mechanisms of diaphragmatic dysfunction， while incorporating the TCM theory of Zongqi（ancestral Qi）. It highlights the therapeutic effects of Chinese herbal formulas， single herbs， and active components in modulating inflammation， oxidative stress， mitochondrial function， ion channels， epigenetic processes， autophagy， and protein homeostasis. Additionally， the review outlines existing challenges， including insufficient study volume， unbalanced selection of herbal prescriptions， limited mechanistic depth， inconsistent disease models and experimental designs， lack of standardized diaphragmatic function assessment， and weak clinical validation. Future research should strengthen the integration of TCM and modern medicine， identify additional therapeutic targets， deepen mechanistic research， and establish unified and standardized experimental systems to advance the theoretical foundation and clinical application of TCM in the prevention and treatment of COPD-related diaphragmatic dysfunction.

In the multi-campus development and construction of public hospitals,hospital-associated infection man-agement has consistently faced escalating difficulties and challenges.Throughout the long-term exploration and practice,the Second Affiliated Hospital Zhejiang University School of Medicine has adhered to the principles of"integrated planning and deployment,homogeneous and homologous training,information and data sharing,and a focus on professional features".By continuously addressing emerging infection control risk points and weak points,overcoming barriers posed by dispersed human resources,and balancing homogeneity with individualization,the hospital has actively promoted integration and collaborative development across its campuses.This approach has significantly contributed to the sustained improvement of healthcare service capacity and quality across multiple campuses.From the novel perspective of symbiosis theory,this paper analyzes the symbiotic dilemmas in multi-campus hospital-associated infection management,summarizes practical experiences,and explores future direc-tions,aiming to provide references for other public hospitals in multi-campus hospital-associated infection manage-ment.

Purpose This study aimed to explore the mucinous phenotype characteristics,key points of differenti-al diagnosis and prognosis of invasive non-mucinous adenocarcinoma(INMA)and invasive mucinous adenocarcinoma(IMA)under the WHO(2021)lung adenocarcinoma classification.Methods We retrospectively collected clinico-pathological data from 522 cases of lung adenocarcinoma,including 425 INMA(66 with mucin secretion,259 without mucin secretion)and 97 IMA.Immunohistochemical(IHC)staining using the EnVision method was performed on the mucin-secreting adenocarcinoma to assess expression of TTF-1,HNF4α,MUC1,MUC4,MUC5AC,MUC5B,and MUC6.Unsupervised clustering analysis was conducted to explore phenotypic subgroups.Results 522 patients with lung adenocarcinoma ranged from 32 to 83 years old(median:61).251 cases(48.1％)were male and 271 cases(51.9％)were female.Clustering analysis divided lung adenocarcinomas into two major groups:one characterized by TTF-1-/HNF4α+and gastric-type mucins MUC5AC+/MUC6+,predominantly IMA;the other,TTF-1+/HNF4α-/MUC4+,largely INMA.A three-marker IHC panel(TTF-1,HNF4α,MUC6)distinguished IMA from mucinous IN-MA with an area under the ROC curve(AUC)of 0.957(95％CI:0.928-0.986)and a Youden's index of 0.860.Further cluster analysis of INMA cases identified four phenotypic subgroups.Prognostic analysis demonstrated that pa-tients with advanced-stage mucin-secreting INMA had significantly shorter overall survival(OS)and progression-free survival(PFS)than those without mucin secretion(5-year OS:57.1％ vs 81.8％,P=0.004;3-year PFS:40.9％ vs 62.4％,P=0.004).No significant survival differences were noted among INMA subgroups stratified by varying mucin proportions.Multivariate analysis identified pathological stage,tumor necrosis,KRAS mutation,and TTF-1 negativity as independent adverse prognostic factors for both OS and PFS in mucinous INMA.Conclusion A three-marker im-munohistochemical panel of TTF-1,HNF4α,and MUC6 is recommended to distinguish IMA from mucinous INMA.Mucus component portends a worse prognosis in advanced INMA,with necrosis,KRAS mutations,and TTF-1 negativi-ty serving as independent adverse prognostic factors in mucinous INMA.

Objective:To study the relationship between the levels of multiple elements in urine and the risk of arsenic poisoning in populations exposed to drinking water arsenic in Inner Mongolia Autonomous Region (Inner Mongolia).Methods:From April 2023 to January 2024, a case-control study method was used to select 128 individuals with a residence time of ≥10 years in drinking water arsenic exposed areas in Inner Mongolia as study subjects. Eighty-one individuals diagnosed with arsenic poisoning were selected as the case group, and 47 healthy individuals were selected as the control group for urine sample collection and questionnaire survey. Inductively coupled plasma mass spectrometry was employed to determine the levels of 10 elements (chromium, manganese, cobalt, nickel, copper, zinc, arsenic, molybdenum, cadmium and lead) in urine. The levels of each element in urine were divided into four groups ( Q1, Q2, Q3, and Q4 groups) based on quartiles. The associations between the levels of various elements in urine and the risk of arsenic poisoning were studied using binary logistic regression model and restricted cubic spline (RCS). Results:The age of the control group and the case group [ M ( Q1, Q3)] were 61 (53, 69) and 61 (56, 67) years old, respectively. There were 19 and 43 males, and 28 and 38 females, respectively. There was no statistically significant differences in age and and gender composition between the two groups ( Z = - 0.39, P = 0.700; χ 2 = 1.91, P = 0.167). The levels of urinary copper and cadmium of the case group were higher than those of the control group, and the differences were statistically significant ( Z = - 2.66, - 2.16, P < 0.05). The results of univariate logistic regression analysis showed that urinary copper was an influencing factor for arsenic poisoning ( P = 0.017). The results of multivariate logistic regression analysis revealed that after adjusting for covariates, urinary copper and arsenic were independent influencing factors of arsenic poisoning ( P < 0.05). Taking Q1 group as a reference, urinary copper in Q3 group [ OR (95% CI) = 8.23 (1.81, 37.39), P = 0.006] increased the risk of arsenic poisoning, while urinary arsenic in Q2, Q3, and Q4 groups [ OR (95% CI) = 0.24 (0.06, 0.92), 0.12 (0.03, 0.53), 0.15 (0.04, 0.63), P < 0.05] decreased the risk of arsenic poisoning. After adjusting for covariates, RCS did not show a dose-response relationship between urinary copper, urinary arsenic, and arsenic poisoning ( P > 0.05). Conclusion:Urinary arsenic and copper are associated with the risk of arsenic poisoning in the drinking water arsenic exposed areas of Inner Mongolia, copper exposure may contribute significantly to arsenic poisoning.

The number of patients with chronic diseases in China has been increasing year by year,followed by the increase of treatment burden.It is particularly important to effectively evaluate the treatment burden of patients with chronic diseases.This paper reviews the main contents,application scope,advantages and disadvantages of the assessment tools for the treatment burden of patients with chronic diseases at home and abroad,so as to provide references and basis for medical staff to reasonably select assessment tools and conduct relevant clinical research.

In the multi-campus development and construction of public hospitals,hospital-associated infection man-agement has consistently faced escalating difficulties and challenges.Throughout the long-term exploration and practice,the Second Affiliated Hospital Zhejiang University School of Medicine has adhered to the principles of"integrated planning and deployment,homogeneous and homologous training,information and data sharing,and a focus on professional features".By continuously addressing emerging infection control risk points and weak points,overcoming barriers posed by dispersed human resources,and balancing homogeneity with individualization,the hospital has actively promoted integration and collaborative development across its campuses.This approach has significantly contributed to the sustained improvement of healthcare service capacity and quality across multiple campuses.From the novel perspective of symbiosis theory,this paper analyzes the symbiotic dilemmas in multi-campus hospital-associated infection management,summarizes practical experiences,and explores future direc-tions,aiming to provide references for other public hospitals in multi-campus hospital-associated infection manage-ment.

Purpose This study aimed to explore the mucinous phenotype characteristics,key points of differenti-al diagnosis and prognosis of invasive non-mucinous adenocarcinoma(INMA)and invasive mucinous adenocarcinoma(IMA)under the WHO(2021)lung adenocarcinoma classification.Methods We retrospectively collected clinico-pathological data from 522 cases of lung adenocarcinoma,including 425 INMA(66 with mucin secretion,259 without mucin secretion)and 97 IMA.Immunohistochemical(IHC)staining using the EnVision method was performed on the mucin-secreting adenocarcinoma to assess expression of TTF-1,HNF4α,MUC1,MUC4,MUC5AC,MUC5B,and MUC6.Unsupervised clustering analysis was conducted to explore phenotypic subgroups.Results 522 patients with lung adenocarcinoma ranged from 32 to 83 years old(median:61).251 cases(48.1％)were male and 271 cases(51.9％)were female.Clustering analysis divided lung adenocarcinomas into two major groups:one characterized by TTF-1-/HNF4α+and gastric-type mucins MUC5AC+/MUC6+,predominantly IMA;the other,TTF-1+/HNF4α-/MUC4+,largely INMA.A three-marker IHC panel(TTF-1,HNF4α,MUC6)distinguished IMA from mucinous IN-MA with an area under the ROC curve(AUC)of 0.957(95％CI:0.928-0.986)and a Youden's index of 0.860.Further cluster analysis of INMA cases identified four phenotypic subgroups.Prognostic analysis demonstrated that pa-tients with advanced-stage mucin-secreting INMA had significantly shorter overall survival(OS)and progression-free survival(PFS)than those without mucin secretion(5-year OS:57.1％ vs 81.8％,P=0.004;3-year PFS:40.9％ vs 62.4％,P=0.004).No significant survival differences were noted among INMA subgroups stratified by varying mucin proportions.Multivariate analysis identified pathological stage,tumor necrosis,KRAS mutation,and TTF-1 negativity as independent adverse prognostic factors for both OS and PFS in mucinous INMA.Conclusion A three-marker im-munohistochemical panel of TTF-1,HNF4α,and MUC6 is recommended to distinguish IMA from mucinous INMA.Mucus component portends a worse prognosis in advanced INMA,with necrosis,KRAS mutations,and TTF-1 negativi-ty serving as independent adverse prognostic factors in mucinous INMA.

Objective To explore the correlation between serum angiotensin-converting enzyme(SACE),matrix metalloproteinase-9(MMP-9)and haptoglobin(HPT)with pulmonary infection in patients with schizophrenia.Methods A total of 83 patients with schizophrenia were selected and divided into the infected group(40 cases)and the non-infected group(43 cases)according to whether they had pulmonary infection.Data of antipsychotic drugs,length of hospital stay,course of disease and electroconvulsive therapy were collected.Serum SACE,MMP-9 and HPT levels were detected by enzyme-linked immunosorbent assay.Spearman correlation analysis was used to determine serum SACE,MMP-9 and HPT and pulmonary infection in patients with schizophrenia.Logistic regression was used to analyze risk factors for pulmonary infection in patients with schizophrenia,and receiver operating characteristic(ROC)curves were used to evaluate the predictive value of serum SACE,MMP-9 and HPT in patients with pulmonary infection.Results Before treatment,the types of antipsychotic drugs≥2,the proportion of electroconvulsive therapy,serum SACE,MMP-9 and HPT levels were higher in the infected group than those in the non-infected group(P＜0.05).After treatment,there were no significant differences in serum SACE,MMP-9 and HPT levels between the infected group and the non-infected group(P＞0.05).Serum SACE,MMP-9 and HPT were positively correlated with pulmonary infection in patients with schizophrenia(P＜0.05).More than 2 types of antipsychotic drugs,electroconvulsive therapy and elevated SACE,MMP-9 and HPT were risk factors for pulmonary infection in schizophrenia patients(P＜0.05).The ROC curve analysis showed that the combined serum SACE,MMP-9 and HPT for pneumonia in schizophrenic patients were better than each of these indicators alone in predicting pulmonary infection in patients with schizophrenia.Conclusion Serum SACE,MMP-9 and HPT are related with pulmonary infection in patients with schizophrenia,and which can be used as potential indicators for predicting pulmonary infection in patients with schizophrenia.

Objective To investigate the acoustic characteristics of speech in Parkinson's disease(PD)pa-tients compared to healthy individuals using smartphone-recorded speech,laying the foundation for future intelligent cloud-based PD detection.Methods A total of 81 PD patients and 63 healthy controls were randomly selected to re-cord their speech using Huawei,Xiao mi,and Apple smartphones through the"Active Health"screening app from the National Key R&D Program.Using the Praat library in Python,parameters such as mean fundamental frequen-cy(Mean F0),minimum fundamental frequency(Min F0),maximum fundamental frequency(Max F0),formants(F1,F2,F3,F4),shimmer,noise-to-harmonics ratio(NHR),and jitter were extracted and compared.Results In PD patients,jitter and shimmer were significantly higher in the/ba/,/bi/,/bu/,and/bo/vowels compared to the control group,while Mean F0 and Max F0 was significantly lower in/bi/and/bo/.Min F0 was significantly higher in/bi/and/bu/for PD patients.No significant differences were found in F1,F2,F3,or F4 between PD pa-tients and controls in/ba/,/bi/,/bo/and/bu/.Conclusion Quantitative analysis of smartphone-recorded speech can detect speech changes in PD patients,providing a solid foundation for the development of a cloud-based PD de-tection system.