ObjectiveTo investigate the intervention mechanism of the traditional Chinese medicine Number 2 Feibi recipe （N2FBR） in idiopathic pulmonary fibrosis （IPF）， focusing on its effects on endoplasmic reticulum （ER） stress， apoptosis， stemness maintenance， and regenerative capacity of alveolar type Ⅱ epithelial cells （AT2 cells）， and to validate the modern translational pathway of the theory of "deficiency of Zong Qi leading to pulmonary atelectasis and atrophy". MethodsA mouse model of pulmonary fibrosis was induced by bleomycin （BLM）. Mice were randomly divided into blank control， model， low-， and high-dose N2FBR intervention groups （9.1， 18.2 g·kg^-1）， and prednisolone intervention group （6.5 mg·kg^-1）. Pulmonary histopathological changes and collagen deposition were evaluated using hematoxylin-eosin （HE） and Masson's trichrome staining. Hydroxyproline （HYP） content was measured by the alkaline hydrolysis method. Lung coefficient and pulmonary function parameters were evaluated. The mRNA expression levels of fibrosis-related factors， including collagen type Ⅰ alpha 1 chain （ColIa1）， alpha-smooth muscle actin （α-SMA）， and tissue inhibitor of metalloproteinase 1 （Timp1）， were detected by real-time polymerase chain reaction （Real-time PCR）. Cell apoptosis was assessed using the terminal deoxynucleotidyl transferase dUTP nick-end labeling （TUNEL） assay. Apoptosis of AT2 cells was further evaluated by double immunofluorescence staining for surfactant protein C （SPC） and cysteine-aspartic protease-3 （Caspase-3）. Endoplasmic reticulum （ER） stress in AT2 cells was examined by double staining for SPC and protein kinase R-like endoplasmic reticulum kinase （PERK）. Ultrastructural changes of ER and lamellar bodies in AT2 cells were observed by transmission electron microscopy （TEM）. The expression levels of key proteins involved in ER stress and apoptosis pathways， including PERK， activating transcription factor 4 （ATF4）， and Caspase-3， were detected by Western blot. Double immunofluorescence staining of SPC and Ki-67 antigen （Ki-67） was performed to evaluate the proliferative capacity of AT2 cells. Lineage tracing technology （labeling AT2 cells with GFP） combined with Krt8 labeling was used to evaluate intermediate differentiation states， and morphological transformation of AT2 cells into alveolar type Ⅰ epithelial cells （AT1） was observed. ResultsBLM-induced mice exhibited significant structural disruption of lung tissue， increased collagen deposition， elevated lung coefficient， decreased pulmonary function， and upregulation of fibrosis-related factors （P<0.01）. High-dose N2FBR treatment significantly ameliorated lung tissue damage and dysfunction， significantly reduced HYP content （P<0.01）， and significantly downregulated ColIa1， α-SMA， and Timp1 expression （P<0.01）. Apoptosis analysis showed increased TUNEL-positive and Caspase-3-positive AT2 cells in the model group， which was significantly reduced by high-dose N2FBR treatment. TEM revealed swollen ER structures in AT2 cells of the model group， which tended to return to normal following treatment. PERK protein staining analysis showed evident ER stress in AT2 cells of the model group， which were markedly alleviated in the treatment group. The expression levels of ER stress-related proteins PERK and ATF4， as well as the apoptosis-related protein Caspase-3， were elevated in the model group and significantly reduced after treatment. TEM also revealed disrupted lamellar body structures in the model group， which tended to recover in the treatment group. Regarding the proliferative capacity of AT2 cells， the proportion of Ki-67⁺SPC⁺ AT2 cells significantly increased in the treatment group （P<0.01）. Lineage tracing showed that the proportion of keratin 8-positive green fluorescent protein-positive （Krt8⁺GFP⁺） cells increased in the model group， indicating differentiation arrest. This proportion was significantly reduced in the treatment group， and the morphology of GFP⁺ cells exhibited a flattened， extended shape， suggesting restored differentiation toward AT1 cells. ConclusionN2FBR alleviates ER stress in AT2 cells， reduces AT2 cell apoptosis， restores lamellar body structure and function， enhances proliferation activity， and alleviates differentiation arrest to promote differentiation into AT1 cells， thereby repairing the alveolar epithelium and effectively blocking the progression of pulmonary fibrosis. Its traditional Chinese medicine mechanism of "replenishing Zong Qi， harmonizing Qi and blood， and unblocking pulmonary meridians" closely aligns with the modern regulatory pathway of AT2 stem cells， providing a novel theoretical basis and experimental evidence for the intervention of IPF with traditional Chinese medicine.

ObjectiveTo investigate the intervention mechanism of the traditional Chinese medicine Number 2 Feibi recipe （N2FBR） in idiopathic pulmonary fibrosis （IPF）， focusing on its effects on endoplasmic reticulum （ER） stress， apoptosis， stemness maintenance， and regenerative capacity of alveolar type Ⅱ epithelial cells （AT2 cells）， and to validate the modern translational pathway of the theory of "deficiency of Zong Qi leading to pulmonary atelectasis and atrophy". MethodsA mouse model of pulmonary fibrosis was induced by bleomycin （BLM）. Mice were randomly divided into blank control， model， low-， and high-dose N2FBR intervention groups （9.1， 18.2 g·kg^-1）， and prednisolone intervention group （6.5 mg·kg^-1）. Pulmonary histopathological changes and collagen deposition were evaluated using hematoxylin-eosin （HE） and Masson's trichrome staining. Hydroxyproline （HYP） content was measured by the alkaline hydrolysis method. Lung coefficient and pulmonary function parameters were evaluated. The mRNA expression levels of fibrosis-related factors， including collagen type Ⅰ alpha 1 chain （ColIa1）， alpha-smooth muscle actin （α-SMA）， and tissue inhibitor of metalloproteinase 1 （Timp1）， were detected by real-time polymerase chain reaction （Real-time PCR）. Cell apoptosis was assessed using the terminal deoxynucleotidyl transferase dUTP nick-end labeling （TUNEL） assay. Apoptosis of AT2 cells was further evaluated by double immunofluorescence staining for surfactant protein C （SPC） and cysteine-aspartic protease-3 （Caspase-3）. Endoplasmic reticulum （ER） stress in AT2 cells was examined by double staining for SPC and protein kinase R-like endoplasmic reticulum kinase （PERK）. Ultrastructural changes of ER and lamellar bodies in AT2 cells were observed by transmission electron microscopy （TEM）. The expression levels of key proteins involved in ER stress and apoptosis pathways， including PERK， activating transcription factor 4 （ATF4）， and Caspase-3， were detected by Western blot. Double immunofluorescence staining of SPC and Ki-67 antigen （Ki-67） was performed to evaluate the proliferative capacity of AT2 cells. Lineage tracing technology （labeling AT2 cells with GFP） combined with Krt8 labeling was used to evaluate intermediate differentiation states， and morphological transformation of AT2 cells into alveolar type Ⅰ epithelial cells （AT1） was observed. ResultsBLM-induced mice exhibited significant structural disruption of lung tissue， increased collagen deposition， elevated lung coefficient， decreased pulmonary function， and upregulation of fibrosis-related factors （P<0.01）. High-dose N2FBR treatment significantly ameliorated lung tissue damage and dysfunction， significantly reduced HYP content （P<0.01）， and significantly downregulated ColIa1， α-SMA， and Timp1 expression （P<0.01）. Apoptosis analysis showed increased TUNEL-positive and Caspase-3-positive AT2 cells in the model group， which was significantly reduced by high-dose N2FBR treatment. TEM revealed swollen ER structures in AT2 cells of the model group， which tended to return to normal following treatment. PERK protein staining analysis showed evident ER stress in AT2 cells of the model group， which were markedly alleviated in the treatment group. The expression levels of ER stress-related proteins PERK and ATF4， as well as the apoptosis-related protein Caspase-3， were elevated in the model group and significantly reduced after treatment. TEM also revealed disrupted lamellar body structures in the model group， which tended to recover in the treatment group. Regarding the proliferative capacity of AT2 cells， the proportion of Ki-67⁺SPC⁺ AT2 cells significantly increased in the treatment group （P<0.01）. Lineage tracing showed that the proportion of keratin 8-positive green fluorescent protein-positive （Krt8⁺GFP⁺） cells increased in the model group， indicating differentiation arrest. This proportion was significantly reduced in the treatment group， and the morphology of GFP⁺ cells exhibited a flattened， extended shape， suggesting restored differentiation toward AT1 cells. ConclusionN2FBR alleviates ER stress in AT2 cells， reduces AT2 cell apoptosis， restores lamellar body structure and function， enhances proliferation activity， and alleviates differentiation arrest to promote differentiation into AT1 cells， thereby repairing the alveolar epithelium and effectively blocking the progression of pulmonary fibrosis. Its traditional Chinese medicine mechanism of "replenishing Zong Qi， harmonizing Qi and blood， and unblocking pulmonary meridians" closely aligns with the modern regulatory pathway of AT2 stem cells， providing a novel theoretical basis and experimental evidence for the intervention of IPF with traditional Chinese medicine.

ObjectiveTo investigate the association between immunoglobulin G （IgG）/immunoglobulin M （IgM） ratio and prognosis in patients with initially unresectable hepatocellular carcinoma （iuHCC） receiving TTP triple therapy with transcatheter arterial chemoembolization （TACE）， tyrosine kinase inhibitor （TKI）， and programmed cell death protein-1 （PD-1） inhibitors. MethodsA retrospective analysis was performed for the clinical data of 151 iuHCC patients who received TTP triple therapy in Department of Hepatobiliary Surgery， Guangxi Medical University Cancer Hospital， from November 2019 to December 2022， and according to IgG/IgM ratio， they were divided into high IgG/IgM group （IgG/IgM ratio >13.23） and low IgG/IgM group （IgG/IgM ratio ≤13.23）. The t-test was used for comparison of continuous data between groups， and the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method and the log-rank test were used for survival analysis， and the Cox proportional hazards model was used to investigate the potential influencing factors for overall survival （OS）. ResultsThe 151 patients had a median OS of 26.7 months （95% confidence interval ［CI］： 19.8-not reached） and a median progression-free survival of 12.5 months （95%CI： 10.4 — 15.8）. The objective response rate was 83.4% and the disease control rate was 94.0%. There were no significant differences in baseline data between the high IgG/IgM group and the low IgG/IgM group （all P>0.05）. There was a significant difference in median OS between the high IgG/IgM group and the low IgG/IgM group （20.6 months vs not reached， P=0.016）. In both the high IgG/IgM group and the low IgG/IgM group， salvage hepatectomy was significantly associated with the improvement in OS （χ²=8.297 and 10.307， both P<0.05）. The multivariate analysis showed that high IgG/IgM ratio （hazard ratio ［HR］=1.799， 95%CI： 1.077 — 3.006， P=0.025）， baseline alpha-fetoprotein >400 ng/mL （HR=1.762， 95%CI： 1.017 — 3.050， P=0.043）， and BCLC stage （HR=2.265， 95%CI： 1.212 — 4.232， P=0.010） were independent influencing factors for OS. ConclusionHigh IgG/IgM ratio is associated with a poorer prognosis in iuHCC patients receiving TTP triple therapy， and salvage hepatectomy has a potential value in improving the prognosis of patients with a high IgG/IGM ratio.

ObjectiveTo investigate the expression level of HBV cccDNA in patients in the convalescence stage of hepatitis B virus-related acute-on-chronic liver failure （HBV-ACLF） and its correlation with HBV markers and liver histopathological changes. MethodsA total of 30 patients in the convalescence stage of HBV-ACL who were hospitalized in The Ninth Hospital of Nanchang from January 2015 to October 2023 were enrolled as liver failure group， and 9 patients with chronic hepatitis B （CHB）， matched for sex and age， were enrolled as control group. The content of HBV cccDNA in liver tissue was measured， and its correlation with clinical data and laboratory markers was analyzed. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and a one-way analysis of variance or the Kruskal-Wallis H test was used for comparison between multiple groups； the Fisher’s exact test was used for comparison of categorical data between groups. A Spearman correlation analysis was performed. ResultsThe liver failure group had a significantly lower content of HBV cccDNA in liver tissue than the control group （-0.92±0.70 log₁₀ copies/cell vs -0.13±0.91 log₁₀ copies/cell， t=2.761， P=0.009）. In the liver failure group， there was no significant difference in the content of HBV cccDNA in liver tissue between the HBeAg-positive patients and the HBeAg-negative patients （P>0.05）； there was no significant difference in the content of HBV cccDNA in liver tissue between the patients with different grades （G0-G2， G3， and G4） of liver inflammatory activity （P>0.05）； there was no significant difference in the content of HBV cccDNA in liver tissue between the patients with different stages （S0-S2， S3， and S4） of liver fibrosis （P>0.05）； there was no significant difference in the content of HBV cccDNA in liver tissue between the patients with negative HBV DNA and those with positive HBV DNA （P>0.05）. For the liver failure group， the content of HBV cccDNA in liver tissue was positively correlated with the content of HBV DNA in liver tissue （r=0.426， P=0.043） and was not significantly correlated with the content of HBV DNA in serum （P>0.05）. ConclusionThere is a significant reduction in the content of HBV cccDNA in liver tissue in the convalescence stage of HBV-ACLF. HBV cccDNA exists continuously and stably in liver tissue and can better reflect the persistent infection and replication of HBV than HBV DNA in serum and liver tissue.

Objective To analyze the epidemiological characteristics of norovirus outbreaks in Haidian District, Beijing, and to provide a reference for epidemic prevention and control. Methods Descriptive epidemiological methods were used to organize and statistically analyze the norovirus outbreak data reported from 2016 to 2022. Results A total of 26 outbreaks of norovirus were reported in Haidian District, with a total of 1595 cases and an attack rate M (Q_R) of 8.23 (16.33)%. There were 24 cases of norovirus type GII (92.31%), 1 case of type GI (3.85%), and 1 case of mixed infection of virus type GI/GII (3.85%). The highest number of reported outbreaks occurred in March and April, with 17 cases, accounting for 65.38%. The highest number of reported cases was in November and December, with 785 cases, accounting for 44.92%. The case age M (Q_R) was 18 (14) years old. The detection rate of positive samples in different age groups had statistical significance（χ²=12.021, P=0.007). The 26 outbreaks were mainly distributed in collective units such as schools, preschool institutions, and enterprises and institutions. There were a total of 11 outbreaks related to foodborne transmission, with 923 cases, accounting for 57.87%. Diarrhea was positively correlated with the age of the cases (r_s=0.572, P<0.001), while vomiting was negatively correlated with the age of the cases (r_s=-0187, P<0.001). The time interval between the onset of acute gastroenteritis symptoms in the first case and the reporting of the epidemic was positively correlated with the duration of the epidemic (r_s=0.586, P=0.002). Conclusion It is necessary to strengthen the prevention and control of norovirus in schools (primary and secondary schools and colleges), strictly implement health monitoring and regular screening for kitchen workers, carry out publicity and education, detect cases as early as possible, report the epidemic in a timely manner, and effectively reduce the scale of the epidemic and prevent its spread.

Objective:To investigate the predictive value of tumor morphology in hepatoce-llular carcinoma (HCC) immunotherapy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinical data of 227 HCC patients who underwent immunotherapy in The First Affiliated Hospital of University of Science and Technology of China from January 2021 to December 2023 were collected. There were 203 males and 24 females, aged (57±11)years. Of the 227 patients, 93 patients with regular tumor morphology of HCC evaluated by computed tomography (CT) or magnetic resonance imaging (MRI) were divided into the regular morphology group, and 134 patients with irregular tumor morphology of HCC evaluated by CT or MRI were divided into the irregular morphology group. Observation indicators: (1) propensity score matching and comparison of general data of patients between the two groups after matching; (2) analysis of factors affecting prognosis of patients; (3) prognosis of patients after propensity score matching. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Mann-Whitney U test. The Kaplan-Meier method was used to calculate survival rate and draw survival curve. The Log-rank test was used for survival analysis. The Cox proportional hazards regression model was used for univariate and multivariate analyses. Propensity score matching was done by the 1∶1 nearest neighbor matching method, with a caliper value of 0.02. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of 227 HCC patients undergoing immunotherapy, 164 cases were successfully matched, including 82 cases in the regular morphology group and 82 cases in the irregular morphology group. After propensity score matching, the elimination of patients who underwent radical surgical resection in the past, tumor number and alpha fetoprotein confounding bias ensured comparability between the two groups. (2) Analysis of factors affecting prognosis of patients. Results of multivariate analysis showed that body mass index ≥25 kg/m 2 and irregular tumor morphology were independent risk factors affecting overall survival time of patients ( hazard ratio=0.891, 1.870, 95% confidence interval as 0.825-0.963, 1.151-3.038, P<0.05). (3) Prognosis of patients after propensity score matching. After propensity score matching, the median progression-free survival time was 11.9(95% confidence interval as 9.2-16.1)months for patients in the regular tumor morphology group and 6.4(95% confidence interval as 4.4-8.1)months for patients in the irregular tumor morphology group, the 1-year progress-free survival rate was 48.48% for patients in the regular tumor morphology group and 22.25% for patients in the irregular tumor morphology group. There was a significant difference in progress-free survival between patients in the regular tumor morphology group and the irregular tumor morphology group ( χ2=16.000, P<0.05). The median overall survival time was 27.2(95% confidence interval as 23.7-not reached)months for patients in the regular tumor morphology group and 18.1 (95% confidence interval as 15.8-20.8)months for patients in the regular tumor morphology group, the 1-year overall survival rate was 83.27% for patients in the regular tumor morphology group and 66.98% for patients in the irregular tumor morphology group. There was a significant difference in overall survival between patients in the regular tumor morphology group and the irregular tumor morphology group ( χ2=13.400, P<0.05). Conclusions:Tumor morphology has a predictive value for the efficacy of immunotherapy for HCC. Compared with HCC patients of regular tumor morphology, immunotherapy is less effective in patients with irregular tumor morphology.

Objective:To investigate the clinical value of enhanced magnetic resonance imaging (MRI)-based deep learning model in preoperative prediction of proliferative hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinical data of 906 HCC patients who were admitted to The First Affiliated Hospital of Army Medical University and The Second Affiliated Hospital of Chongqing Medical University from May 2017 to October 2022 were collected. There were 769 males and 137 females, aged (53.2±10.9)years. Of the 906 patients, 815 cases who were admitted to The First Affiliated Hospital of Army Medical University were divided into the training set of 634 patients and the internal validation set of 181 patients using a random number table method with a ratio of 8:2, and 91 patients who were admitted to The Second Affiliated Hospital of Chongqing Medical University were divided into the external validation set. The training set was used to construct the prediction model, while the validation set was used to validate the prediction model. Observation indicators: (1) analysis of factors influencing the pathological classification of HCC patients; (2) deep learning imaging features of HCC patients; (3) evaluation of the efficacy of prediction model for proliferative HCC; (4) validation of the prediction model for proliferative HCC; (5) prognosis of HCC patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Multivariate analysis was conducted using the binary Logistic regression model. The model perfor-mance was evaluated through five-fold cross-validation, and receiver operating characteristic (ROC) curve was plotted to assess the diagnostic value of the model based on the area under curve (AUC), sensitivity, and specificity. The Delong test was used to compare the diagnostic performance of models. The Hosmer-Lemeshow test was employed to evaluate the calibration of models. The optimal cutoff value of the prediction model was determined by the maximum Youden index, with the value >0.175 indicating high-risk patients and value ≤0.175 indicating low-risk patients.The Kaplan-Meier method was used to calculate the survival rate and the Log-rank test was used for survival analysis. Results:(1) Analysis of factors influencing the pathological classification of HCC patients. Of 634 patients in the training set, there were 190 cases of proliferative HCC and 444 cases of non-proliferative HCC. Results of multivariate analysis showed that alpha fetoprotein (AFP) ≥400 μg/L and tumor diameter >5 cm were independent risk factors for pathological type of HCC as proli-ferative [ odds ratio=1.73, 1.88, 95% confidence interval ( CI) as 1.19-2.50, 1.30-2.71, P<0.05]. (2) Deep learning imaging features of HCC patients. In the training set of 634 patients, the probability predicted by MRI-based deep learning model was 84.8%(30.5%,95.4%) for proliferative HCC and 5.8%(3.2%,12.5%) for non-proliferative HCC, showing a significant difference between them ( Z=-16.01, P<0.05). (3) Evaluation of the efficacy of prediction model for proliferative HCC. In the training set, the AUC of clinical prediction model for proliferative HCC was 0.63(95% CI as 0.59-0.68, P<0.05), with sensitivity of 54.74% and specificity of 64.19%. The AUC of MRI-based deep learning prediction model was 0.90(95% CI as 0.87-0.93, P<0.05), with sensitivity of 80.53% and specificity of 86.94%. The AUC of combined MRI-based deep learning with clinical prediction model was 0.90 (95% CI as 0.87-0.93, P<0.05), with sensitivity of 83.16% and specificity of 86.04%. Results of Delong test showed that there was a significant difference between the combined MRI-based deep learning with clinical prediction model and the clinical prediction model ( P<0.05), and there was no signifi-cant difference between the combined MRI-based deep learning with clinical prediction model and the MRI-based deep learning prediction model ( P>0.05). Results of Hosmer-Lemeshow test showed good calibration for the clinical prediction model, the MRI-based deep learning prediction model and the combined MRI-based deep learning with clinical prediction model ( χ2=0.84, 6.38, 3.93, P>0.05), indicating that the predicted probabilities of these three prediction models matched the actual risk well. (4) Validation of the prediction model for proliferative HCC. Results of validation of the prediction model in internal validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.84(95% CI as 0.77-0.91, P<0.05), with sensitivity of 82.35% and specificity of 77.69%. Results of validation of the prediction model in external validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.81(95% CI as 0.71-0.92, P<0.05), with sensitivity of 70.00% and specificity of 81.69%. (5) Prognosis of HCC patients. Of the 906 patients, the 1-, 3-, and 5-year recurrence-free survival rates for 645 proliferative HCC patients were 56.9%, 31.4%, and 29.1%, respectively, and the 1-, 3-, and 5-year recurrence-free survival rates for 261 non-proliferative HCC patients were 88.8%, 68.6%, and 56.0%, respectively. There were significant differences in recurrence-free survival time between proliferative HCC and non-proliferative HCC patients of the training set, internal validation set and external validation set ( P<0.05). The 1-, 3-, 5-year recurrence-free survival rates for 331 high-risk HCC patients were 64.6%, 50.4%, 43.6%, versus 88.5%, 71.9%, 62.7% for 575 low-risk HCC patients. There were significant differences in recurrence-free survival time between high-risk HCC patients and low-risk HCC patients of the training set, internal validation set and external validation set ( P<0.05). Conclusion:The MRI-based deep learning model can effectively predict proliferative HCC and recurrence-free survival of patients before the surgery.

Objectives:To analyze the correlation between the the body shape index(ABSI)and all-cause mortality(ACM)as well as cardiovascular mortality(CVM)in patients with acute heart failure.Methods:This study analyzed data from the National Registration Study of Major Chronic Diseases,a prospective cohort on heart failure.A total of 4 907 patients with acute heart failure were enrolled from multiple centers nationwide,of which 4 375 were eligible for this study.The relationships of between body mass index(BMI),waist circumference,and ABSI with ACM and CVM were assessed using multivariable cox proportional hazards models.Results:The mean age of the patients was(65.0±13.4)years,62.3%was male.The median follow-up time was 4.6(4.59,4.65)years,there were 1 972(45.1%)ACM and 1 400(32.0%)CVM.Multivariable cox regression analysis showed that higher ABSI was associated with an increased risk of mortality.Compared to the second quartile of ABSI,the hazard ratio(HR)for the highest(fourth)quartile were 1.29(95%CI:1.14-1.46,P<0.05)for ACM and 1.23(95%CI:1.06-1.43,P<0.05)for CVM.In contrast,BMI and waist circumference were inversely associated with risks of both ACM and CVM.Conclusions:ABSI can more intuitively reflect the correlation between obesity and death in patients with heart failure than BMI and waist circumference,which has important clinical significance.

Objective To investigate the prevalence of chronic somatic comorbidities in schizophrenic patients in Shanghai communities,and to explore the factors influencing comorbidities.Methods Based on Shanghai community-based severe mental disorders cohort,5 422 patients with schizophrenia(SCZ)were included in the study.12 common chronic somatic diseases,defined by patients'self-report,were selected to analyze the prevalence of comorbidity,and Logistic regression model was used to analyze the factors influencing the number of somatic comorbidities.Results The total prevalence of somatic comorbidity was 37.0%in 5 422 patients with SCZ,with the highest prevalence of hypertension(22.6%)and diabetes mellitus(13.1%)among 12 somatic diseases selected.Older age was the main factor associated with chronic somatic comorbidities in community schizophrenic patients.The risk of 1-2 comorbidities in patients aged≥60 years was 3.34(95%CI:2.74-4.07)times higher than those aged<45 years,while the risk of≥3 comorbidities was 3.27(95%CI:2.11-5.09)times higher,correspondingly.Female gender,marriage,smoking,and longer duration of illness were also risk factors for comorbidity.Women after menopause had higher risk of comorbidity than perimenopausal women.Conclusion Cardiovascular and metabolic diseases were common somatic comorbidities among schizophrenic patients in Shanghai communities.Older age,female gender,marriage,smoking,and longer duration of illness were risk factors for increasing number of comorbidities.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.