Objective To investigate the trends in the global burden due to cystic echinococcosis from 1990 to 2021, and to predict the global burden of cystic echinococcosis from 2022 to 2035, so as to provide insights into formulation of the cystic echinococcosis control strategy. Methods The global age-standardized prevalence, mortality, disability-adjusted life years (DALYs) rates and their 95% uncertainty intervals (UI) of cystic echinococcosis from 1990 to 2021 were captured from the Global Burden of Disease Study 2021 (GBD 2021) database, and the trends in the global burden of cystic echinococcosis from 1990 to 2021 were analyzed using the Joinpoint regression model. The associations between the global burden of cystic echinococcosis and socio-demographic index (SDI) were examined using a smoothing spline model and frontier analysis, and the global burden of cystic echinococcosis was projected from 2022 to 2035 using the Bayesian age-period-cohort (BAPC) model. Results The global agestandardized prevalence, mortality and DALYs rates of cystic echinococcosis were 7.69/10⁵ [95% UI: (6.27/10⁵, 9.51/10⁵)], 0.02/10⁵ [95% UI: (0.01/10⁵, 0.02/10⁵)], and 1.32/10⁵ [95% UI: (0.99/10⁵, 1.69/10⁵)] in 2021. The global age-standardized prevalence of cystic echinococcosis appeared a tendency towards a rise by 0.14% per year from 1990 to 2021, and the global age-standardized mortality and DALYs rates of cystic echinococcosis appeared a tendency towards a decline by 4.68% and 4.01% per year from 1990 to 2021, respectively. Joinpoint regression analysis showed that global age-standardized prevalence of cystic echinococcosis appeared a tendency towards a decline from 1990 to 2000 [annual percent change (APC) = −0.66%, 95% confidence interval (CI): (−0.70%, −0.61%)] and from 2005 to 2015 [APC = −0.88%, 95% CI: (−0.93%, −0.82%)], and towards a rise from 2000 to 2005 [APC = 3.68%, 95% CI: (3.49%, 3.87%)] and from 2015 to 2021 [APC=0.30%, 95%CI: (0.19%, 0.40%)].Theagestandardized prevalence (r = −0.17, P < 0.05), mortality (r = −0.67, P < 0.05) and DALYs rates of cystic echinococcosis (r = −0.60, P < 0.05) all correlated negatively with SDI across 21 geographical regions from 1990 to 2021, and the age-standardized mortality (r = −0.61, P < 0.05) and DALYs rates (r = −0.44, P < 0.05) both correlated negatively with SDI across 204 countries and territories in 2021. Frontier analysis revealed that the age-standardized DALYs rate of cystic echinococcosis was still not in line with the frontier in some high-SDI countries or territories. In addition, the global age-standardized prevalence was projected with the BAPC model to appear a tendency towards a rise among both men [estimated annual percent change (EAPC) = 0.18%, 95% CI: (0.13%, 0.23%)] and women [EAPC = 0.29%, 95% CI: (0.24%, 0.34%)] from 2022 to 2035, and the global age-standardized mortality [men: EAPC = −4.71%, 95% CI: (−4.71%, −4.37%); women: EAPC = −4.74%, 95% CI: (−4.74%, −4.74%)] and DALYs rates [men: EAPC = −3.35%, 95% CI: (−3.36%, −3.34%); women: EAPC = −3.17%, 95% CI: (−3.18%, −3.16%)] were projected to appear a tendency towards a decline among both men and women. Conclusions The global burden of cystic echinococcosis appeared an overall tendency towards a decline from 1990 to 2021; however, the global prevalence of cystic echinococcosis is projected to appear a tendency towards a rise from 2022 to 2035. Intensified cystic echinococcosis control programmes are recommended.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective:To clarify the connotation of clown care by conceptual analysis of clown care, so as to provide references for clinical nursing work.Methods:Literature related to clown care was searched in PubMed, EBSCO, Embase, CNKI, Wanfang Database and VIP, and the search period was from the establishment of the databases until August 31, 2022. Based on the inclusion and exclusion criteria, literature was screened. The Rodgers evolutionary concept analysis method was adopted to analyze the relevant contents of clown care from aspects of development history, definition and evolution, conceptual attributes, typical cases, antecedents, consequences and identification of related concepts.Results:A total of 463 articles were retrieved, and 94 were finally included, including 8 Chinese articles and 86 English articles. At present, there was no unified and comprehensive definition of clown care. It included 5 conceptual attributes, such as support relationship, individuation, interaction, flexibility and empowerment. The antecedents included demographic, clown, and social factors, and the consequences mainly included the effect on the patient's health status, negative emotions of medical staff, clown care skills and creativity.Conclusions:Clarifying the concept of clown care can provide clear conceptual support for the research on clown care, and provide references for the construction of scientific clown care program.

Hepatitis B virus （HBV） has the characteristics of wide transmission， a high chronic infection rate， and a low cure rate， and improving the cure rate of HBV may help to improve the long－term prognosis of patients. Heat shock protein 90 （Hsp90） is a chaperone protein widely present in organisms. In recent years， more and more studies have shown that Hsp90 is associated with HBV infection and plays an important role in HBV replication. It can not only interact with specific proteins of the virus to promote its replication， but also interact with the host’s own proteins to perform its function. This article reviews the role of Hsp90 in HBV replication in recent studies， so as to provide new theoretical guidance and directions for the development of new anti－HBV drugs targeting Hsp90 and the prevention and treatment of HBV infection in the future.

Objective:To investigate effects of bone-resorptive lesion on stress distribution of femoral head and on progression in patients with osteonecrosis of the femoral head (ONFH).Methods:From April 2014 to September 2018, a total of 155 femoral heads from 94 patients diagnosed with ARCO stage II and III ONFH were retrospectively reviewed, including 77 males and 17 females with aged 39.90±10.45 years old (ranged from 18-64 years). The hips were divided into two groups according to whether there were bone-resorptive lesions. Further, we compared whether there was statistical difference between the two groups in staging. Then, a case of ARCO II hip joint without bone-resorptive lesion was selected from the included patients. Six femoral head with different diameters of spherical bone-resorptive lesion of 5 mm, 7 mm, 10 mm, 14 mm, 18 mm, and 23 mm were simulated. The influence of bone-resorptive lesion on the stress distribution of necrotic area and a spherical shell extending 1 mm radially around the bone-resorptive lesion was investigated by finite element method in slow walking conditions.Results:Of the 155 ONFH hips, 67 hips are complicated by bone-resorptive lesions, of which 17 were ARCO II, 50 were ARCO III. A total of 88 hips did not contain bone-resorptive lesions, of which 58 were ARCO II, ARCO III 30 cases. The proportion of ARCO stage II in the group with bone-resorptive lesions was significantly higher than that in the group without bone-resorptive lesions (χ 2=25.03, P=0.000). The finite element stress distribution cloud diagram showed that there was a stress concentration area around the bone-resorptive lesions. The maximum von Mises stress around bone-resorptive lesions in the models that contained a synthetic bone-resorptive lesions were significantly higher than those reported in the matched, non-synthetic bone-resorptive lesions finite element models ( t=3.139, P=0.026). The values for maximum von Mises stress around bone-resorptive lesions were 6.94±1.78 MPa and 5.01±0.35 MPa for the group with synthetic bone-resorptive lesions and the group non-synthetic bone-resorptive lesions, respectively. There was a positive correlation between the diameter of bone-resorptive lesions and the maximum and mean von Mises stress of necrotic areas as well as the maximum von Mises stress around bone-resorptive lesions. Conclusion:Bone-resorptive lesions can increase the maximum stress and average stress in the necrotic area. The larger the bone-resorptive lesion, the more the stress increases. There is a stress concentration area around the bone-resorptive lesions, which may accelerate the collapse of the femoral head.

Objective:To explore the effects of doctors' satisfaction on dental nurses' ability to cooperate in root canal therapy.Methods:The nurses working in Qingdao Stomatological Hospital between September and December 2018 were selected by convenient sampling. Before intervention, the doctors' satisfaction with the nursing cooperation of the dental nurses was investigated. The dental nurses' cooperation in root canal therapy was analyzed according to the survey results, and targeted training was provided for 3 months. The doctors' satisfaction with the nurses' nursing cooperation in various aspects before and after intervention was compared.Results:Sixty scales were distributed before and after intervention respectively. After intervention, the doctors' satisfaction with the nurses' cooperation in having nursing work items prepared in place, emergency response capabilities, four-handed cooperation and assisting doctors with health education was higher than that before intervention, and the differences before and after intervention were statistically significant ( P<0.05) . Conclusions:Through the oral diagnosis and treatment combined with targeted training, doctors' satisfaction with the cooperation of nurses during oral surgery is improved.

Objectives To investigate the effects of cell aging on the disorders relating to gastric mucosa aging.Methods A treatment of 200 μmol/L H2O2 was used to induce senescence of human gastric epithelial cell line GES-1,and the cell growth curve was monitored.Senescence secretory phenotypes were observed by detecting the protein level of p53 and p16INK4a with senescence-associated β-galactosidase(SA-β gal)staining and Western blot testing.The mRNA levels of senescence-associated secretory phenotype(SASP)factors in human gastric epithelial GES-1 cell including IL-1β,IL-6,IL-8,TGF-β、IFN-γ,and VEGF-A were detected by RT PCR.The mRNA expression levels of IL-1β,IL-6,IL-8,TGF-β,IFN-γ,and VEGF in the conditioned medium were detected by ELISA analysis.Results The 200 μmol/L H2O2-induced GES-1 cells stopped proliferating after 3 days of treatment,and cells enlarged and flattened at 10 days.The increased SA-β-gal staining(P＜0.001) and the increased expression levels of p53 and p16INK4a proteins indicated the success of establishing the aging model of GES-1.The mRNA levels of IL 1β,IL6,IL8,TGF-β,and IFNγ were higher(t=2.94,3.38,3.15,3.64,2.97;P=0.015,0.000,0.000,0.000,0.000)and the mRNA level of VEGF-A was lower(t=2.31,P =0.20) in senescent GES-1 cells than in the control group.In the conditioned medium of senescent GES-1 cells,the levels of IL-1β,IL6,IL8,TGF-β1,and IFNγ were higher in the H2O2-induced group [(3.12±0.21)μg/L,(4.26±0.15)μg/L,(3.37±0.14)μg/L,(5.34±0.19)μg/L,and(2.90±0.47)μg/L]than in the negative control group[(0.24±0.04,0.04±0.07,0.52±0.02,1.05±0.10,0.52±0.02,respectively,P＜0.001)],while the level of VEGF was lower in the H2O2-induced group than in the negative control group(0.21±0.03)μg/L vs (0.59±0.07)μg/L(P＜0.05).Conclusions The changes in senescence-associated secretory phenotype factors of the aging human gastric epithelial cells induced by oxidative stress may promote chronic gastritis and gastric cancer.

Objective To evaluate the relationship between the degree of brain injury during the perioperative period of liver transplantation and postoperative cognitive dysfunction (POCD).Methods Thirtythree patients,undergoing elective liver transplantation,were enrolled in this study.Before induction of anesthesia (T0),at 5 min before blocking the portal vein (T1),5 min after opening the portal vein (T2),5 min after opening the hepatic artery (T3),and at 24 h after surgery (T4),blood samples were collected from the central vein for determination of the serum concentrations of S1O0β protein and neuron-specific enolase (NSE) by enzyme-linked immunosorbent assay.Patients were divided into POCD group and control group (group C) according to whether POCD happened within 7 days after surgery.Results Compared with the baseline value at T0,the serum concentrations of S100β protein were significantly increased at T2 and T3,and the serum concentrations of NSE was increased at T3 (P＜0.05).There was no significant difference in serum concentrations of S100β and NSE at each time point between group POCD and group C (P＞0.05).Conclusion The degree of brain injury during the perioperative period of liver transplantation is not the dominant factor for the development of POCD in the patients.

Objective: A second generation CAR-NK-92 cell line expressing CD19 was constructed to investigate its specific killing effect on CD19 positive non-Hodgkin lymphoma cells. Methods: First, build CD19-CAR gene expression vector and packaged slow virus particles, then the infection rate was detected by flow cytometry after infected NK-92 cells and positive cells were further separated. Finally, detected the expression of CD19-CAR in NK-92 cells by Western blotting. U-266 with CD19 negative myeloma cells,ARH77 and HS-Sultan with CD19 positive non-Hodgkin’s lymphoma cells as target cells, and CD19CAR-NK-92 as effector cells, then the killing rate was calculated by the absolute number of tumor cells alive in the cell killing experiment. Results: Construct lentivirus vector pLVX-CD19-CAR and packaged virus particles successfully, the purity of CD19-CAR-NK-92 cells also was over 90% after infected with NK-92 cells; and Western blotting analysis showed that CD19-CAR had been successfully expressed in NK-92 cell. The killing effect of CD19CAR-NK-92 onARH-77 ([70.10±1.86]% vs [1.95±0.63]%, P<0.01) and HS-Sultan ([74.98±1.60]% vs [0.58±1.49]%, P< 0.01) cells was significantly higher than the empty vector control group of ZsGreen-NK-92, but there was no difference in killing U266 (P>0.05). Conclusion: The NK-92 cell lines expressing CD19CAR were successfully constructed, and also has specific killing effects on CD19 positive non-Hodgkin lymphoma cells.