Bennedsenmahmoud1509

To develop a classification model for accurately discriminating common infectious diseases in Zhejiang province, China.Symptoms and signs, abnormal lab test results, epidemiological features, as well as the incidence rates were treated as predictors, and were collected from the published literature and a national surveillance system of infectious disease. A classification model was established using naïve Bayesian classifier. Dataset from historical outbreaks was applied for model validation, while sensitivity, specificity, accuracy, area under the receiver operating characteristic curve (AUC) and M-index were presented.A total of 146 predictors were included in the classification model, for discriminating 25 common infectious diseases. The sensitivity ranged from 44.44% for hepatitis E to 96.67% for measles. The specificity varied from 96.36% for dengue fever to 100% for 5 diseases. The median of total accuracy was 97.41% (range 93.85%-99.04%). The AUCs exceeded 0.98 in 11 of 12 diseases, except in dengue fever (0.613). The M-index was 0.960 (95%CI 0.941-0.978).A novel classification model was constructed based on Bayesian approach to discriminate common infectious diseases in Zhejiang province, China. After entering symptoms and signs, abnormal lab test results, epidemiological features and city of disease origin, an output list of possible diseases ranked according to the calculated probabilities can be provided. The discrimination performance was reasonably good, making it useful in epidemiological applications.Breast cancer is a molecularly heterogeneous disorder associated with high lethal malignant tumors among women worldwide. Genetic factors play an important role in breast cancer development. Several single nucleotide polymorphisms in the 8q24 region associated with risk of breast cancer have been identified. Fifteen studies including 32,955 cases and 43,716 controls were collected to conduct a meta-analysis to evaluate the associations between variants in 8q24 region and risk of breast cancer. selleck chemicals llc Our study showed that only rs13281615 is associated with breast cancer risk in this large-scale research synopsis and meta-analysis. Further studies are needed to explore the role of the 8q24 variants in the development of breast cancer.Langerhans cells (LCs) and plasmacytoid dendritic cells (pDCs) play an important role in the cutaneous immune response to viral infection. Verruca vulgaris (VV) is a chronic benign disease caused by human papillomavirus (HPV) infection.To investigate the possible roles of LCs, pDCs and toll-like receptor (TLR)7/9 signaling pathways in the pathogenesis of VV, we detected the expression of CD1a, CD2AP, CD123, TLR7/9, IFN regulatory factor 7 (IRF7), and interleukin-1 receptor-associated kinase 1 (IRAK1) in VV lesions.The expression of CD1a, CD2AP, CD123, TLR7/9, IRF7, and IRAK1 in 20 VV lesions was tested by immunohistochemistry. The density and number of stained cells were compared between VV lesions and the perilesional normal skin.The density and number of CD1a-, CD2AP-, CD123-, TLR9-, and IRAK1-positive cells in the papillary layer of VV lesions were significantly higher than those in the perilesional normal skin (P  .05).In VV, the number of LCs increases only in the dermis, indicating that LC's antigen-presenting function might not be inhibited. The increased number of pDCs in VV lesions suggests that HPV infection may recruit the pDCs to the virus-infected epithelium. We speculate that the TLR7/9 downstream signaling pathway is not fully activated in VV, leading to difficulty of HPV removal and the relapse of HPV-infected lesions.This study described the prevalence of adverse pregnancy outcomes (APOs) in Chinese HIV-infected pregnant women, and examined the relationship between maternal HIV infection /HIV-related factors and APOs.This prospective cohort study was carried out among 483 HIV-infected pregnant women and 966 HIV-uninfected pregnant women. The HIV-infected and HIV-uninfected women were enrolled from midwifery hospitals in Hunan province between October 2014 and September 2017. All data were extracted in a standard structured form, including maternal characteristics, HIV infection status, HIV-related factors and their pregnancy outcomes. APOs were assessed by maternal HIV infection status and HIV-related factors using logistic regression analysis.The incidences of stillbirth (3.9% vs 1.1%), preterm birth (PTB) (8.9% vs 3.7%), low birth weight (LBW) (12.2% vs 3.1%) and small for gestational age (SGA) (21.3% vs 7.0%) were higher in HIV-infected women than HIV-uninfected women, with adjusted ORs of 2.77 (95%CI 1.24-6.17), 2.37 nant women started ARV therapy in or after the second trimester, both mono/dual therapy and HAART had a protective effect on stillbirth compared with untreated HIV infection. As some important confounders were not effectively controlled and the specific regimens of HAART were not analyzed, the above findings may have certain bias.Acute kidney injury (AKI), a serious complication in critically ill patients, is associated with poor clinical outcomes. We explored the hypothesis that β2-microglobulin (β2-MG) is an independent indicator of AKI development and outcomes in patients with intracerebral hemorrhage (ICH) in the neurosurgical intensive care unit (NICU).Patients with ICH (n = 403) admitted to the NICU of Zhongnan Hospital, Wuhan University, between January 1, 2015 and December 31, 2016 were prospectively enrolled in this single-center, observational study. The primary outcome was the incidence of AKI, secondary outcomes were in-hospital mortality and 1-year mortality (from time of admission).The overall AKI incidence, in hospital, was 35.2%; patients were diagnosed with stage 1 (22.1%), 2 (5.7%), and 3 (7.4%) AKI. β2-MG levels predicted AKI with an area under the curve of 0.712 (95% confidence interval [CI], 0.652-0.772) and a cut-off of 2026.85 μg/L (sensitivity, 57.5%; specificity, 79.4%). Compared with the group having lower β2-MG values, the group with higher values (β2-MG >2123.50 μg/L) had significantly higher risks of AKI (odds ratio, 2.606; 95% CI, 1.315-5.166), in-hospital mortality (hazard ratio [HR], 2.548; 95% CI, 1.318-4.924), and 1-year mortality (HR, 3.161; 95% CI, 1.781-5.611) in adjusted analyses.β2-MG levels predict AKI development and outcomes in patients with ICH in the NICU.