Background::Liver cancer remains the sixth most commonly diagnosed cancer and the third leading cause of cancer-related deaths worldwide, causing a heavy burden globally. An updated assessment of the global epidemiology of the liver cancer burden that addresses geographical disparities is necessary to better understand and promote healthcare delivery.Methods::Data were extracted from the GLOBOCAN 2022 database, including the number, crude, and age-standardized rates of incidence and mortality at the global, country, continent, and human development index (HDI) regional levels. Age-standardized rates (incidence and mortality) per 100,000 person-years were adjusted based on the Segi-Doll World standard population. The mortality-to-incidence ratios (MIR) for each region and country were calculated. The HDI and gross national income (GNI) for 2022 were obtained, and a Pearson correlation analysis was conducted with the incidence, mortality, and MIR.Results::In 2022, approximately 866,136 new liver cancer cases and 758,725 related deaths were recorded worldwide, with a global MIR of 0.86. Males had a disproportionately higher burden than females across all levels, and the highest burden was observed in the elderly population. Geographically, the regions with the highest incidence rates included Micronesia, Eastern Asia, and Northern Africa, and the regions with the highest mortality rates included Northern Africa, Southeastern Asia, Eastern Asia, and Micronesia. Notably, Mongolia had a strikingly high burden compared to other countries. The highest MIR was observed in North America and the lowest in Africa. Negative associations of HDI and GNI with liver cancer mortality and MIR were identified, irrespective of sex.Conclusions::The current liver cancer burden underscores the presence of remarkable geographic heterogeneity, which is particularly evident across countries with varying HDI levels, highlighting the urgent need to prioritize health accessibility and availability to achieve health inequities.

Objective To investigate whether curdione inhibits the formation of deep vein thrombosis(DVT)in rats through thrombolytic effects.Methods Twenty-five rats were randomly divided into five groups,the normal control group,the sham operation group,the model group,the low dose group of curdione(60 mg/kg)and the high dose group of curdione(120 mg/kg),with five rats in each group.Using the inferior vena cava ligation model,blood was taken from the pulmonary aorta in a sodium citrate anticoagulant tube one week after drug administration.The coagulation and fibrinolytic indexes Fibrin Degradation Products,(FDP),D-dimer(D-D),plasminogen activator inhibitor(PAI)-1 and plasminogen(PLG)were detected in each group;the thrombus weight/weight-length ratio was detected;and the formation of venous thrombus in the lower limbs of rats was detected by hematoxylin-eosin(HE)staining nuclear factor;NF-κB protein expression in inferior vena cava tissues was dectected by Western Blot assay.Results There was no significant difference in plasma FDP levels among groups of rats(P＞0.05);compared with the model group,the plasma FDP and D-D levels of rats in each dosing group were increased,the plasma PAI-1 and PLG levels were elevated,and the fibrinolytic effect was better in the group with high dose of curdione administration than in the group with low dose of curdione administration(P＜0.05);compared with the model group,the thrombus weight/weight-length ratio,the thrombus mass and NF-κB protein expression in the curdione dosing group were decreased.Conclusion Curdione can inhibit the formation of DVT in rats by influencing the fibrinolytic regulators.

Objective: To investigate the epidemiological characteristics of human adenovirus (HADV) 2, 3 and 7 in hospitalized children with respiratory infection. Methods: A total of 25 686 children with respiratory infection hospitalized at Children's Hospital of Hebei Province from January 2018 to December 2020 were retrospectively included.Deep sputum or nasopharyngeal aspirates of those children were collected. Then thirteen common respiratory pathogens were detected by multiplex PCR. 510 HADV positive specimens were randomly selected via random number and classified for type 2, 3 and 7 using a multiplex real-time quantitative PCR. SPSS 21.0 software was used to perform all of the statistical analyses. Enumeration data were expressed by frequency and percentage. χ² test was used for comparison between groups. Results: The HADV-positive rate was 7.99% (2 052/25 686). Children at age 3-<6 years had the highest HADV-positive rate (11.44%). The HADV-positive rate in 2019 was highest (10.64%). Among the 510 HADV-positive specimens, the proportion of type 3 was the highest (31.16%), followed by type 7 (21.37%) and type 2 (11.18%). The rate of type 2 in 2019 was significantly lower than that in 2018 and 2020 (χ²=8.954 and 16.354; P=0.003 and <0.01), while the rate of type 3 was significantly higher than that in 2018 and 2020 (χ²=5.248 and 4.811; P=0.022 and 0.028). The rate of type 2, type 3 and type 7 were lowest in winter, spring and autumn, respectively. The rate of type 2 increased significantly in autumn and the rate of type 3 and type 7 increased significantly in winter.The co-detection rate of HADV with other respiratory pathogens was 43.33%(221/510). Among, the co-detection rate of type 3 was highest (47.32%), and the co-detection rate of type 2, 3 and 7 was significantly higher than the alone detection rate (χ²=20.438, P<0.01; χ²=42.105, P<0.01; χ²=27.573, P<0.01).The proportion of severe pneumonia in children with type 7 positive (15.89%) was higher than that in children with non-type 7 positive (8.23%) (χ²=5.260, P=0.022). Conclusion: HADV is one of the important pathogens of children with respiratory infection in Children's Hospital of Hebei Province. The susceptible population of HADV is preschool children aged 3 to 6 years. HADV often co-detects with other respiratory pathogens. Type 3 and 7 is likely to be the dominant genotypes in this region, and type 7 may be one of the risk factors of severe pneumonia in children.
Child, Preschool ; Child ; Humans ; Infant ; Adenoviruses, Human/genetics* ; Child, Hospitalized ; Retrospective Studies ; Adenovirus Infections, Human/epidemiology* ; Respiratory Tract Infections/epidemiology* ; Pneumonia ; Hospitals

Objective:To investigate the change trend of etiological burden of disease of liver cancer in the Chinese population from 1990 to 2019.Methods:The descriptive epidemiologic method was conducted. Based on the Global Burden of Disease data from the Institute for Health Metrics and Evaluation at the University of Washington, the data related to liver cancer burden caused by hepatitis B virus (HBV) infection, hepatitis C virus (HCV) infection, alcohol, nonalcoholic steatohepatitis (NASH) and other factors, including number of new cases, the crude incidence rate, age-specific incidence rate, number of deaths, crude mortality rate and age-specific mortality rate, in the Chinese population from 1990 to 2019 were collected. The age-standardized rate was calculated based on the world standardized population structure in 2019 from the Global Burden of Disease data. Observation indicators: (1) the incidence of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019; (2) the mortality of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019; (3) the change trend of age-specific incidence rate of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019; (4) the age-specific mortality rate of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019. Count data were expressed as absolute numbers, percentages and ratio. Based on the junction point regression model, the Joinpoint software (V.4.9.1.0) was used to calculate the annual percentage change, average annual percentage change (AAPC) and 95% confidence intervals ( CI) of age-specific incidence rate and age-specific mortality rate of liver cancer caused by different etiologies. Results:(1) The incidence of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019. From 1990 to 2019, the number of new cases of liver cancer in Chinese population decreased from 236 825 to 210 462, and the crude incidence rate decreased from 20.01/100,000 to 14.80/100,000. The new cases of liver cancer caused by HBV infection, HCV infection and other factors showed a downward trend, and the absolute change rates were ?14.76%, ?3.98% and ?26.67%, respectively. The new cases of liver cancer caused by alcohol and NASH showed a increase trend, and the absolute change rates were 9.31% and 13.91%, respectively. (2) The mortality of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019. From 1990 to 2019, the number of deaths of liver cancer in Chinese population decreased from 232 449 to 187 700, and the crude mortality rate decreased from 19.64/100,000 to 13.20/100,000. The number of deaths of liver cancer caused by HBV infection, HCV infection and other factors showed a down-ward trend, and the absolute change rates were ?23.34%, ?10.99% and ?33.75%, respectively. The number of deaths of liver cancer caused by alcohol showed a slow downward trend, and the absolute change rate was ?0.51%. The number of deaths of liver cancer caused by NASH showed a increase trend, and the absolute change rate was 6.03%. (3) The change trend of age-specific incidence rate of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019. From 1990 to 2019, the AAPC of age-specific incidence rate of liver cancer caused by HBV infection, HCV infection, alcohol, NASH and other factors was ?3.61%(95% CI as ?4.10% to ?3.11%), ?3.57%(95% CI as ?3.99% to ?3.14%), ?2.79%(95% CI as ?3.24% to ?2.33%), ?2.65%(95% CI as ?3.09% to ?2.21%) and ?3.62%(95% CI as ?4.05% to ?3.19%), respectively. (4) The age-specific mortality rate of liver cancer caused by different etiologies in the Chinese population from 1990 to 2019. From 1990 to 2019, the AAPC of age-specific mortality rate of liver cancer caused by HBV infection, HCV infection, alcohol, NASH and other factors was ?3.92%(95% CI as ?4.42% to ?3.41%), ?3.90%(95% CI as ?4.45% to ?3.35%), ?3.15%(95% CI as ?3.71% to ?2.58%), ?2.86%(95% CI as ?3.34% to ?2.38%) and ?4.09%(95% CI as ?4.64% to ?3.55%), respectively. Conclusions:From 1990 to 2019, the liver cancer burden of the Chinese population shows an overall downward trend, in which the liver cancer burden caused by HBV and HCV infection decreases the most, but HBV and HCV infection is still the main reason for the heavy burden of liver cancer. The age-specific incidence rate and age-specific mortality rate of liver cancer caused by alcohol and NASH show a downward trend, but the number of new cases of liver cancer caused by alcohol and NASH shows significant growth. The liver cancer burden caused by other factors shows a downward trend.

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens

This study aimed to further explore the relevant mechanism of action by network pharmacology integrated with animal experimental verification based on previous proven effective treatment of vertebral artery type of cervical spondylosis(CSA) by Panlongqi Tablets. Bionetwork analysis was performed to establish drug-disease interaction network, and it was found that the key candidate targets of Panlongqi Tablets were enriched in multiple signaling pathways related to CSA pathological links, among which phosphatidylinositol 3-kinase(PI3 K)/serine-threonine kinase(AKT/PKB) signaling pathway was the most significant. Further, mixed modeling method was used to build the CSA rat model, and the rats were divided into normal, model, Panlongqi Tablets low-, medium-and high-dose(0.16, 0.32, 0.64 g·kg~(-1)) and Jingfukang Granules(positive drug, 1.35 g·kg~(-1)) groups. After successful modeling, the rats were administered for 8 consecutive weeks. Pathological changes of rat cervical muscle tissues were detected by hematoxylin-eosin(HE) staining, and the content of interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), vascular endothelial cell growth factor(VEGF) and chemokine(C-C motif) ligand 2(CCL2) in rat serum and/or cervical tissues was determined by enzyme-linked immunosorbent assay(ELISA). Western blot was employed to detect the protein expression levels of chemokine(C-C motif) receptor 2(CCR2), PI3 K, AKT, phosphorylated AKT(p-AKT), I-kappa-B-kinase beta(IKK-beta/IKKβ), nuclear factor kappa B(NF-κB P65) and phosphorylated nuclear factor kappa B(NF-κB p-P65) in rat cervical tissues, and positive expression of p-NF-κB P65 in rat cervical muscle tissues was detected by immunofluorescence. The results showed that Panlongqi Tablets at different doses improved the degree of muscle fibrosis and inflammation in cervical muscle tissues of CSA rats, and reduced the content of inflammatory factors IL-1β, TNF-α, VEGF, CCL2 and CCR2 in serum and/or cervical tissues. The protein expression levels of PI3 K, p-AKT, IKKβ and p-NF-κB P65 as well as the nuclear entry of p-NF-κB P65 in cervical tissues were down-regulated. These findings suggest that Panlongqi Tablets can significantly inhibit the inflammatory response of CSA rats, and the mechanism of action may be related to the down-regulation of the activation of PI3 K/AKT signaling pathway.
Animals ; Drugs, Chinese Herbal ; I-kappa B Kinase/pharmacology* ; NF-kappa B/metabolism* ; Network Pharmacology ; Phosphatidylinositol 3-Kinases/metabolism* ; Protein Serine-Threonine Kinases ; Proto-Oncogene Proteins c-akt/metabolism* ; Rats ; Signal Transduction ; Spondylosis/drug therapy* ; Tumor Necrosis Factor-alpha/metabolism* ; Vascular Endothelial Growth Factor A/genetics* ; Vertebral Artery/metabolism*

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity

OBJECTIVE: To explore the regulation effect of myeloid leukemia No.1 Chinese herb medicine prescription combined with chemotherapy on Th17 cells in bone marrow fluid of AML patients, so as to provide guidance for improving AML treatment effect and patients' long-term survival. METHODS: Seventy patients with AML who were hospitalized in Department of Hematology, Wuwei People's Hospital from April 2017 to August 2019 were selected and enrolled in AML group, 25 healthy volunteers were selected and enrolled in control group; then according to therapeutic regimen, AML patients were divided into 2 groups: combined therapy group (myeloid leukemia NO.1 Chinese herb medicine prescription combined with chemotherapy) and non-combined therapy group (chemotherapy alone). Flow cytometry was used to detect the ratio of CD3 RESULTS: The ratio of CD3 CONCLUSION Th17 cells expression in bone marrow of newly diagnoses and relapsed AML patients significantly increase, and decrease significantly after treatment. Myeloid leukemia No.1 Chinese herb prescription combined with chemotherapy can significantly increase the CR rate and reduce the RL rate for AML.
Bone Marrow ; China ; Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Medicine ; Prescriptions ; Th17 Cells ; Vascular Endothelial Growth Factor A

OBJECTIVE: To detect the level of vascular endothelial growth factor (VEGF) in bone marrow of patients with non-M3 acute leukemia (AL), and estimate its relationship with prognosis. METHODS: From January 2016 to December 2019, 114 patients with AL in department of Hematology, Wuwei People's Hospital were selected as study group, and 25 healthy volunteers were enrolled as control group. The concentration of VEGF in bone marrow was detected by ELISA. The patients were divided into high and low concentration group according to the level of VEGF. The overall survival (OS) and event-free survival (EFS) were compared among different groups. RESULTS: The level of VEGF in patients with AL was significantly higher than that in the control group. The median OS and EFS in the low concentration group was 34.5 and 32 months, respectively, while, in the high concentration group was 30 and 26 months, respectively. The differences between the two groups were statistically significant (P=0.010). There were significant differences in OS rate (P=0.035) and EFS rate (P=0.026) between low and high concentration group. Multivariate analysis showed that high VEGF concentration was an independent risk factor affecting OS (HR=2.619, 95%CI 1.070-6.406, P=0.035) and EFS (HR=2.221, 95%CI 1.074-4.552, P=0.031) in AL patients. CONCLUSION VEGF highly expresses in the bone marrow of patients with AL at initial diagnosis and relapse, and shows adverse effects on the prognosis.
Bone Marrow ; Disease-Free Survival ; Humans ; Leukemia, Myeloid, Acute ; Prognosis ; Vascular Endothelial Growth Factor A