Objective: To prepare the erythrocyte-liposome drug delivery system to enhance the therapeutic effect of drugs on tumors and inhibit tumor metastasis. Methods: This study prepared and characterized paclitaxel (PTX)-plerixafor (AMD3100) liposomes (Lips), developed the erythrocyte-liposome drug delivery system, and evaluated its targeting efficiency and therapeutic efficacy through a series of in vitro cellular and in vivo animal experiments. Results: The particle size of PTX-AMD-Lips was (186.4±0.83) nm. Drug encapsulation efficiency of PTX-AMD-Lips was (75.50±5.27)% for PTX and (88.31±2.45)% for AMD. The Binding efficiency between RBC and liposomes in the drug delivery system was (69.93±2.55)%. Vitro cellular experiments revealed that PTX-AMD-Lips significantly inhibited tumor cell migration. In vivo animal experiments, the erythrocyte-liposome drug delivery system significantly increased drug accumulation in the lungs. At the experimental endpoint, the quantitative fluorescence signal of tumor size measured (4.04±0.44)×10 for the PTX-Lips group, and (5.14±3.40)×10 for the RBC-PTX-AMD-Lips group. Conclusion: The erythrocyte-liposome drug delivery system could enhance the lung-specific targeting capability of liposomes, kill tumor cells and suppress further metastasis effectively.

ObjectiveTo investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through the Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway. MethodsAnimal experiments were conducted with 50 female SD rats， which were randomized into a sham operation group （10 rats） and a modeling group （40 rats）. An autologous endometrial transplantation method was used for the modeling of EMs. The 36 successfully modeled rats were randomly allocated into four groups （n=9 each）： The model group， the low-dose （7.87 g·kg^-1） Luoshi Neiyi prescription group， the high-dose （15.74 g·kg^-1） Luoshi Neiyi prescription group， and the dienogest （0.20 mg·kg^-1） group. The physiological status and ectopic lesion volumes of rats in each group were observed. Hematoxylin-eosin （HE） staining was used to observe the morphology of the eutopic endometrial tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of inflammatory factors including interleukin-1β （IL-1β） and prostaglandin E₂ （PGE₂） in the serum of EMs rats. Immunohistochemistry was used to detect the expression of matrix metalloproteinase-9 （MMP-9） and vascular endothelial growth factor A （VEGFA） in the eutopic endometrial tissue. Western blot was adopted to determine the protein levels of TLR4， myeloid differentiation factor 88 （MyD88）， phosphorylated nuclear factor-κB （p-NF-κB）/NF-κB， MMP-9， and VEGFA in the eutopic endometrial tissue. In the cell experiments， the cell-counting kit-8 （CCK-8） assay was employed to screen the optimal concentration of Luoshi Neiyi prescription-containing serum， and a scratch assay was performed to assess the migration ability of iheESCs cells. Interventions with Luoshi Neiyi prescription-containing serum， resatorvid （TAK-242， a TLR4 inhibitor）， and lipopolysaccharides （LPS， a TLR4 agonist） were conducted， and Western blot was used to detect the expression of proteins related to the TLR4/NF-κB signaling pathway. ResultsThis experiment successfully replicated 36 EMs rat models. Compared with the sham operation group， the model group exhibited visible ectopic lesions on the abdominal wall and an increase in the writhing response score （P<0.01）. Furthermore， HE staining revealed the model group exhibited a thickened eutopic epithelium， stromal cell disarrangement， and evident infiltration of inflammatory cells. In addition， the model group showed elevated serum levels of IL-1β and PGE₂ （P<0.05， P<0.01）， increased positive expression of MMP-9 and VEGFA in the ectopic endometrial tissue （P<0.01）， and up-regulated protein levels of TLR4， MyD88， p-NF-κB/NF-κB， MMP-9， and VEGFA in the ectopic endometrial tissue （P<0.05， P<0.01）. Compared with the model group， all treatment groups exhibited a reduction in the ectopic lesion volume （P<0.01）. Furthermore， the writhing response scores were decreased in the high-dose Luoshi Neiyi prescription group and the dienogest group （P<0.05， P<0.01）. The pathological state of the ectopic endometrial tissue was alleviated to varying degrees in the treatment groups. Low-dose Luoshi Neiyi prescription reduced serum PGE₂ levels， and high-dose Luoshi Neiyi prescription and dienogest decreased serum IL-1β and PGE₂ levels in EMs rats （P<0.05， P<0.01）. The treatment groups showed decreased positive expression of MMP-9 and VEGFA in the ectopic endometrial tissue （P<0.05， P<0.01） and down-regulated protein levels of TLR4， MyD88， p-NF-κB/NF-κB， MMP-9， and VEGFA in the ectopic endometrial tissue （P<0.05， P<0.01）. The cell experiments showed that 5%， 10%， and 20% Luoshi Neiyi prescription-containing sera significantly reduced the viability and inhibited the migration of iheESCs. Compared with the control group， 5%， 10%， and 20% Luoshi Neiyi prescription-containing serum groups and the TAK-242 group showed reduced protein levels of TLR4， MyD88， p-NF-κB/NF-κB， MMP-9， and VEGFA （P<0.01）. Compared with the control group， the LPS group showed increased expression of the above proteins （P<0.01）. Compared with the LPS group， the LPS+5%， 10%， and 20% Luoshi Neiyi prescription-containing serum groups showed reduced expression of the above proteins （P<0.05， P<0.01）. ConclusionLuoshi Neiyi prescription may modulate the TLR4/NF-κB signaling pathway to reduce the inflammatory response and histopathological damage in the eutopic endometrium and suppress the adhesive， invasive， and angiogenic biological processes in the ectopic endometrial tissue， thereby exerting its therapeutic effect on EMs.

Objective: To analyze the mortality trend of chronic respiratory diseases in Lianyungang City, Jiangsu Province from 2011 to 2024, and predict the mortality from 2025 to 2029, so as to provide the evidence for developing forward-looking prevention and control strategies and targeted intervention measures. Methods: Chronic respiratory disease death surveillance data in Lianyungang City from 2011 to 2024 were collected through the Jiangsu Chronic Disease Management Information Platform. The crude mortality was calculated and standardized using the data of the Sixth National Population Census in 2010. Average annual percent change (AAPC) was used to analyze the mortality trends of chronic respiratory diseases by gender, region, and age in Lianyungang City from 2011 to 2024. The GM (1,1) grey model was established using the crude mortality of chronic respiratory diseases from 2011 to 2024 to predict the crude mortality of chronic respiratory diseases from 2025 to 2029. Results: From 2011 to 2024, the crude mortality and standardized mortality of chronic respiratory diseases in Lianyungang City were 52.20/105 and 36.57/105, respectively. The crude mortality and standardized mortality were 53.14/105 and 43.79/105 in males, respectively, which were higher than 51.17/105 and 30.14/105 in females (both P<0.05). The crude mortality and standardized mortality were 55.62/105 and 39.85/105 in rural areas, respectively, which were higher than 38.11/105 and 24.15/105 in urban areas (both P<0.05). From 2011 to 2024, the standardized mortality of chronic respiratory diseases showed downward trends in the total population, males, females, urban areas, and rural areas (AAPC=-6.956%, -5.175%, -8.659%, -4.290%, and -7.369%, all P<0.05). The crude mortality of chronic respiratory diseases in the total population showed an upward trend with increasing age (P<0.05), reaching a peak of 1 371.20/105 in the ≥80 years group. The top two causes of chronic respiratory disease deaths were chronic obstructive pulmonary disease and bronchial asthma, with 31 792 cases and 3 254 cases, accounting for 82.40% and 8.43%, respectively. The GM (1,1) grey model prediction results showed that the crude mortality of chronic respiratory diseases in the total population from 2025 to 2029 would be 37.91/105, 36.32/105, 34.80/105, 33.34/105, and 31.95/105, respectively (average relative error=8.76%). Conclusions From 2011 to 2024, the mortality of chronic respiratory diseases in Lianyungang City showed a downward trend. The risk of death from chronic respiratory diseases was higher in males, rural areas, and the elderly. It is predicted that the mortality of chronic respiratory diseases will decrease year by year from 2025 to 2029.

Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.

Objective The aim of this study was to analyze the incidence and mortality of esophageal cancer and its trend in Lianyungang city from 2008 to 2019.Methods The data of esophageal cancer in all cancer registry areas in Lianyungang city were col-lected and sorted out,and the quality control reached the standards.The incidence,mortality,age-standardized rate of Chinese population(ASRC),age-standardized rate of World population(ASRW),cumulative rate at 0-74 years old,truncation rate of 35-64 years old,and composition ranking were calculated.The Joinpoint4.7.0.0software was used to analyze the average annual percentage change(AAPC)of the age-standardized incidence and mortality of esophageal cancer by the standard population(ASIRC and ASMRC).Results From 2008 to 2019,the incidence of esophageal cancer in Lianyungang city was 25.90/100,000,ASIRC was 17.95/100,000,ASIRW was 17.91/100,000,ranking the third in the incidence spectrum of malignant tumors.The mortality was 20.55/100,000,ASMRC was 13.86/100,000,and ASMRW was 13.71/100,000,ranking the third in the malignant tumor mortality spectrum.The incidence,mortali-ty,ASIRC and ASMRC of esophageal cancer were higher in men than those in women,and higher in rural areas than those in urban are-as.From 2008 to 2019,the change trend of incidence and mortality of esophageal cancer in Lianyungang city was the same,showing a downward trend.The AAPC of the ASIRC was-6.19%(95%CI:-7.08%-5.30%,P<0.001),and the AAPC of the ASMRC was-4.03%(95%CI:-5.81%-2.22%,P<0.001).Among them,the ASIRC and ASMRC of esophageal cancer in urban and rural areas showed a downward trend(P<0.05).Among them,the ASIRC and ASMRC of esophageal cancer in urban women decreased the most,with an average annual decline of-7.99%(95%CI:-10.86%-5.03%,P<0.001)and-9.19%(95%CI:-12.35%-5.93%,P<0.001).Conclusion The incidence and mortality of esophageal cancer in Lianyungang city have shown a downward trend,a rural areas and male populations are the key prevention and control populations for esophageal cancer.

Objective:To explore the effect of recombinant human brain natriuretic peptide(rhBNP)combined with dopamine on cystatin C(CysC),homocysteine(Hcy)and cardiac function in patients with severe heart failure(HF).Methods:This randomized controlled study enrolled 110 severe HF patients admitted in Aerospace Center Hospital between December 2021 and December 2022.They were divided into control group(n=55,nitroglycerin combined dopamine)and combined treatment group(n=55,rhBNP combined dopamine).Each group received corresponding therapy based on basic treatment for one week.Therapeutic effect,levels of CysC,Hcy,left ventric-ular end-systolic diameter(LVESd),left ventricular end-diastolic diameter(LVEDd),left ventricular ejection fraction(LVEF),and incidence of adverse reactions were compared between two groups.Results:Compared with patients in control group,those in combined treatment group had significant higher total effective rate(81.82％vs.58.18％)and LVEF[(54.68±4.59)％vs.(44.79±4.37)％],and significant lower CysC[(1.02±0.19)mg/L vs.(1.40±0.21)mg/L],Hcy[(15.98±2.17)μmol/L vs.(21.05±2.82)μmol/L],LVESd[(35.13±3.51)mm vs.(41.71±3.28)mm]and LVEDd[(41.33±4.26)mm vs.(50.51±4.37)mm](P＜0.01 all).There was no significant difference in total incidence of adverse reactions between two groups(16.36％vs.7.27％,P=0.180).Conclusion:rhBNP combined with dopamine could significantly improve the clinical therapeutic effect,im-prove levels of CysC,Hcy and cardiac function with good safety in the treatment of severe HF.

Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.

Objective To understand the current status of work-related musculoskeletal disorders (WMSDs) among operating room doctors,thereby analyzing its effect on mental health. Methods A total of 1013 doctors in the operating rooms of 30 hospitals in 24 provinces from September to December 2022 were selected by cross-sectional survey method. The domestic musculoskeletal disease questionnaire was used to investigate the occurrence of WMSDs in operating room doctors,the symptom check list-90 (SCL-90) was used to evaluate the psychological status of operating room doctors,the relationship between WMSDs related items and SCL-90 scores was analyzed,the correla-tion between the rest time of each shift and SCL-90 factors was analyzed by Pearson method,and the influencing factors of mental health of operating room doctors were analyzed by multivariate Logistic regression.Results A total of 1100 questionnaires were distributed and 1013 valid questionnaires were recovered,with an effective rate of 92.10％. The incidence of WMSDs among operating room doctors in the past 1 year was 95.06％. The body parts with incidences of WMSDs from high to low were as follows:waist (36.92％),neck (35.54％),shoulder (33.56％),and upper back (32.77％). In the past 1 year,the SCL-90 scores and total scores of patients with musculoskeletal pain in various body parts,keeping the same back posture for a long time while work,bending the back at the same time of turning frequently while working,bowing the head for a long time while working,and bending the knee for a long time while working were significantly higher than those who were without the above conditions (P<0.05). Shorter rest time of each shift and longer periods of keeping the same back posture were the risk factors for the development of mental illness in operating room doctors. Conclusion The incidence of WMSDs in operating room doctors is high,which can influence the mental health of operating room doctors. Therefore,operating room doctors should avoid keeping the same back posture for a long time,bending the back at the same time of turning frequently,bowing the head for a long time,and bending the knee for a long time while working,and increase the rest time of each shift,in order to improve the mental condition of the operating room doctors.

Objective To explore the therapeutic effect and safety of hyperbaric oxygen therapy in the treatment of patients underwent tracheostomy for consciousness disturbance.Methods A total of 60 patients underwent tracheostomy for consciousness disturbance in our hospital from January 2019 to December 2021 were selected and randomly divided into the control group(30 cases)and the treatment group(30 cases).Patients in the control group were treated with tracheotomy and general treatment for primary disease,while patients in the treatment group were treated with hyperbaric oxygen on the basis of the control group.After 1 month of treatment,the total effective rate,Glasgow coma scale(GCS)score,persistent vegetative state(PVS)score,white blood cell count,neutrophil count,hemoglobin,C-reactive protein(CRP),and adverse reactions of patients were compared between the two groups.Results The total effective rate of the treatment group(96.67%)was higher than that of the control group(76.67%),and the difference was statistically significant(P<0.05).The GCS and PVS scores of patients in the two groups increased compared with those before treatment(P<0.05),and the GCS and PVS scores of patients in the treatment group were higher than those in the control group(P<0.05).There was no statistically significant difference in white blood cell count of patients in the two groups before and after treatment(P>0.05).The neutrophil count and CRP level of patients in both groups after treatment were lower than those before treatment(P<0.05),and the neutrophil count and CRP levels of patients after treatment in the treatment group were lower than those in the control group(P<0.05).The hemoglobin level of patients in both groups after treatment increased compared with those before treatment(P<0.05),and the hemoglobin level of patients after treatment in the treatment group was higher than that in the control group(P<0.05).The incidence of adverse reactions in the treatment group(6.67%)was lower than that in the control group(26.67%),and the difference was statistically significant(P<0.05).Conclusion Hyperbaric oxygen therapy has a good therapeutic effect and high safety for patients who treated by tracheostomy for consciousness disturbance.

Objective The aim of this study was to analyze the incidence and mortality of esophageal cancer and its trend in Lianyungang city from 2008 to 2019.Methods The data of esophageal cancer in all cancer registry areas in Lianyungang city were col-lected and sorted out,and the quality control reached the standards.The incidence,mortality,age-standardized rate of Chinese population(ASRC),age-standardized rate of World population(ASRW),cumulative rate at 0-74 years old,truncation rate of 35-64 years old,and composition ranking were calculated.The Joinpoint4.7.0.0software was used to analyze the average annual percentage change(AAPC)of the age-standardized incidence and mortality of esophageal cancer by the standard population(ASIRC and ASMRC).Results From 2008 to 2019,the incidence of esophageal cancer in Lianyungang city was 25.90/100,000,ASIRC was 17.95/100,000,ASIRW was 17.91/100,000,ranking the third in the incidence spectrum of malignant tumors.The mortality was 20.55/100,000,ASMRC was 13.86/100,000,and ASMRW was 13.71/100,000,ranking the third in the malignant tumor mortality spectrum.The incidence,mortali-ty,ASIRC and ASMRC of esophageal cancer were higher in men than those in women,and higher in rural areas than those in urban are-as.From 2008 to 2019,the change trend of incidence and mortality of esophageal cancer in Lianyungang city was the same,showing a downward trend.The AAPC of the ASIRC was-6.19%(95%CI:-7.08%-5.30%,P<0.001),and the AAPC of the ASMRC was-4.03%(95%CI:-5.81%-2.22%,P<0.001).Among them,the ASIRC and ASMRC of esophageal cancer in urban and rural areas showed a downward trend(P<0.05).Among them,the ASIRC and ASMRC of esophageal cancer in urban women decreased the most,with an average annual decline of-7.99%(95%CI:-10.86%-5.03%,P<0.001)and-9.19%(95%CI:-12.35%-5.93%,P<0.001).Conclusion The incidence and mortality of esophageal cancer in Lianyungang city have shown a downward trend,a rural areas and male populations are the key prevention and control populations for esophageal cancer.