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To develop a novel nomogram to improve the preoperative diagnosis of pathological grade of upper tract urothelial carcinoma (UTUC).
Retrospective study was conducted with 245 patients with UTUC treated by radical nephroureterectomy from 2002 to 2016. Of the cohort, 57.6% received ureteroscopic (URS) biopsy and 35.9% received urine cytology examination. Preoperative clinical characteristics and examination results were collected. Final pathological grade was diagnosed by postoperative pathology. Univariable and multivariable binary logistic regressions were applied to establish a preoperative predictive model for tumor grade, and significant factors were included in the nomogram. The area under curve (AUC) was used to show the predictive efficacy, and the calibration plot was drawn for validation.
Of the 245 patients, 72.7% were diagnosed with pathological high-grade disease. Age (odds ratio [OR] = 1.03,
= .039), sessile (OR = 3.86,
= .021), positive urinary cytology (OR = 6.87,
= .035), and bioedictors of pathological high-grade disease in patients with UTUC. A nomogram containing these factors can improve diagnostic accuracy, potentially reducing the risk of "undergrading" by URS biopsy.
Acute pulmonary embolism (PE) is the third most fatal cardiovascular disease. click here PE is frequently misdiagnosed due to its clinical presentation's heterogeneity and the inexistence of biomarkers for its immediate diagnosis. Mean platelet volume (MPV) has shown a potential role as a biomarker in acute PE. In this analysis, we aimed to systematically compare the MPV in patients with and without definite diagnosis of PE, in emergency departments.
Embase, PubMed and Medline were searched for relevant publications, in English. The main inclusion criteria were studies which compared MPV in patients with acute PEA versus a control group.
Thirteen studies consisting of a total number of 2428 participants were included. Of the participants included, 1316 were patients with confirmed acute PE, and 1112 were assigned to the control group. MPV was significantly higher in patients with acute PE than in controls (RR 0.84, 95% CI 0.76 - 0.92;
< .00001). There was a significant heterogeneity in the data.
This analysis showed higher MPV to be associated with acute PE immediate diagnosis. These data show promise for the use of MPV as a readily available biomarker for the diagnosis of acute PE at the emergency department.
This analysis showed higher MPV to be associated with acute PE immediate diagnosis. These data show promise for the use of MPV as a readily available biomarker for the diagnosis of acute PE at the emergency department.With a growing number of patients on ticagrelor therapy after stent implantation, we observe many cases of side effects of the drug, mostly dyspnoea and bradycardia. In our article we present 2 patients, in which the symptoms were particularly severe. Then we describe possible mechanisms of these complications, explain how to carry out differential diagnosis, discuss when to switch ticagrelor to other antiplatelet drug and finally we present the way to deal with the symptoms.
The wide availability of flavored e-cigarettes and broad use of e-cigarettes in public places may contribute to the rapidly increasing rates of use among youth and young adults in the U.S. However, policies at the federal, state and local levels can address these factors.
Assess public support for 5 e-cigarette-related policies and evaluate response patterns by demographics, tobacco use, e-cigarette harm perceptions, geographic region, and strength of state-level clean indoor air policies.
Data were collected Oct-Dec 2018 from a nationally representative online panel of U.S. adults (n = 3211). We measured support for 5 policies (1) a ban on the sale flavored e-cigarettes; (2) requiring tobacco products, like e-cigarettes, be kept out of view in stores where adolescents shop; and prohibiting e-cigarette use in (3) all public places; (4) restaurants; and (5) bars. Weighted, adjusted logistic regressions modeled variation in policy support.
A majority of respondents (63.3%) supported a flavor ban, with no differences in support by smoking status. Most respondents supported keeping tobacco products out of view (78.0%) and prohibiting e-cigarette use in indoor public places (82.9%), restaurants (86.5%), and bars (76.1%). link2 In the adjusted models, current e-cigarette users had significantly lower odds of policy support compared to never users. We observed no differences in support by geographic region or strength of state-level clean indoor air policies.
Results suggest high levels of public support to regulate e-cigarette flavors, marketing, and use in public places. Targeted messaging may be needed to increase support among current e-cigarette users.
Results suggest high levels of public support to regulate e-cigarette flavors, marketing, and use in public places. Targeted messaging may be needed to increase support among current e-cigarette users.[This corrects the article DOI 10.1177/1176935120948474.].Parasitic cysteine proteases are involved in parasite stage transition, invasion of host tissues, nutrient uptake, and immune evasion. The cysteine protease cathepsin F is the most abundant protein produced by fourth-stage larvae (L4) of the nematode Teladorsagia circumcincta, while its transcript is only detectable in L4 and adults. T. circumcincta cathepsin F is a recently evolved cysteine protease that does not fall clearly into either of the cathepsin L or F subfamilies. This protein exhibits characteristics of both cathepsins F and L, and its phylogenetic relationship to its closest homologs is distant, including proteins of closely related nematodes of the same subfamily.The dysbiosis of the gut microbiome associated with ulcerative colitis (UC) has been extensively studied in recent years. link3 However, the question of whether UC influences the spatial heterogeneity of the human gut mucosal microbiome has not been addressed. Spatial heterogeneity (specifically, the inter-individual heterogeneity in microbial species abundances) is one of the most important characterizations at both population and community scales, and can be assessed and interpreted by Taylor's power law (TPL) and its community-scale extensions (TPLEs). Due to the high mobility of microbes, it is difficult to investigate their spatial heterogeneity explicitly; however, TPLE offers an effective approach to implicitly analyze the microbial communities. Here, we investigated the influence of UC on the spatial heterogeneity of the gut microbiome with intestinal mucosal microbiome samples collected from 28 UC patients and healthy controls. Specifically, we applied Type-I TPLE for measuring community spatial heterogeneity and Type-III TPLE for measuring mixed-species population heterogeneity to evaluate the heterogeneity changes of the mucosal microbiome induced by UC at both the community and species scales. We further used permutation test to determine the possible differences between UC patients and healthy controls in heterogeneity scaling parameters. Results showed that UC did not significantly influence gut mucosal microbiome heterogeneity at either the community or mixed-species levels. These findings demonstrated significant resilience of the human gut microbiome and confirmed a prediction of TPLE that the inter-subject heterogeneity scaling parameter of the gut microbiome is an intrinsic property to humans, invariant with UC disease.Hepatitis B virus (HBV) infection is a major cause of acute liver failure (ALF) in China, and mortality rates are high among patients who do not receive a matched liver transplant. This study aimed to determine potential mechanisms involved in HBV-ALF pathogenesis. Gene expression profiles under access numbers GSE38941 and GSE14668 were downloaded from the Gene Expression Omnibus database, including cohorts of HBV-ALF liver tissue and normal samples. Differentially expressed genes (DEGs) with false discovery rates (FDR) 1 as thresholds were screened using the Limma package. Gene modules associated with stable disease were mined using weighed gene co-expression network analysis (WGCNA). A co-expression network was constructed and DEGs were analyzed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A gene-based network was constructed to explore major factors associated with disease progression. We identified 2238 overlapping DEGs as crucial gene cohorts in ALF development. Based on a WGCNA algorithm, 10 modules (modules 1-10) were obtained that ranged from 75 to 1078 genes per module. Cyclin-dependent kinase 1 (CDK1), cyclin B1 (CCNB1), and cell-division cycle protein 20 (CDC20) hub genes were screened using the co-expression network. Furthermore, 17 GO terms and 6 KEGG pathways were identified, such as cell division, immune response process, and antigen processing and presentation. Two overlapping signaling pathways that are crucial factors in HBV-ALF were screened using the Comprehensive Toxicogenomics Database (CTD). Several candidate genes including HLA-E, B2M, HLA-DPA1, and SYK were associated with HBV-ALF progression. Natural killer cell-mediated cytotoxicity and antigen presentation contributed to the progression of HBV-ALF. The HLA-E, B2M, HLA-DPA1, and SYK genes play critical roles in the pathogenesis and development of HBV-ALF.
The coronavirus disease 2019 (COVID-19) is reported in Algeria on February 25th, 2020. Since then, the number is still increasing leading to a total number of 36,699 cases and 1333 deaths on August 12th, 2020. Thus, comprehension of the epidemic curve is very important to predict its evolution and subsequently adapt the best prevention strategies. In this way, the current study was conducted to estimate the parameters of the classical SIR model and to predict the peak of the COVID-19 epidemic in Algeria using data from February 25th, 2020 to August12th, 2020.
Results showed that the peak of the epidemic will be reached on September 8th, 2021 and the total infected persons will exceed 800,000 cases at the end of the epidemic. Also, more than 15 million persons will be susceptible. The reproduction number (
) is estimated at 1.23254.
These results may be helpful for the Algerian authorities to adapt their strategies and may be taken into consideration in the future phase of discontainment.
These results may be helpful for the Algerian authorities to adapt their strategies and may be taken into consideration in the future phase of discontainment.Scholarly understanding is limited with regard to what influences students' choice to take a particular course fully online or in-person. We surveyed 650 undergraduates at a public Canadian university who were enrolled in courses that were offered in both modalities during the same semester, for roughly the same tuition cost. The courses spanned a wide range of disciplines, from archaeology to computing science. Twenty-five variables were gauged, covering areas including students' personal circumstances, their competence in the language of instruction, previous experience with online courses, grade expectations, and psychological variables including their regulation of their time and study environment, work avoidance and social goal orientation. Two logistic regression models (of modality of enrolment and modality of preference) both had good fit to the data, each correctly classifying roughly 75% of cases using different variables. Implications for instructional design and enrolment management are discussed.
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