The Use of Tobit and Logistic Regression Models to Study Factors that Affect Blood Pressure in Cardiac Patients

This research witnessed using the Tobit and logistic regression models to study the factors that affect blood pressure in cardiac patients. The data have been collected, from 500 patients with heart disease in hospital-heart center - Erbil. The two levels of blood pressure, low and high blood pressures, were taken from the patients, as dependent variables and some, independent variables (Gender, Age, Urea, Cholesterol, Creatinine, and Weight). The researcher found that the median of blood pressure by means of arterial pressure (MAP) equation contains each of high and low blood pressures differently because the threshold point was determined to be (99.33), which is equal to,12/8 mmHg, which is the normal amount of blood pressure. The aim of this research is to explain the main concepts and processes of Tobit regression analysis (Censored- and Truncated) and logistic regression analysis, which is used for knowing which factors of independent variables has more effect on the response variables (blood pressure), and to compare the outcomes of the two models (Tobit regression and logistic regression) in order to determine which of the models best fits our data in which AIC and BIC are used. The researcher reached a conclusion that the logistic regression model best fits our data compared with Tobit regression, and it arrived at the results obtained by utilizing the statistical packages in R programming, MATLAB and Statistical Packages of Social Sciences (SPSS) V.26, which was used to analyze data from our researc

Characterisation of feline renal cortical fibroblast cultures and their transcriptional response to transforming growth factor beta 1

Chronic kidney disease (CKD) is common in geriatric cats, and the most prevalent pathology is chronic tubulointerstitial inflammation and fibrosis. The cell type predominantly responsible for the production of extra-cellular matrix in renal fibrosis is the myofibroblast, and fibroblast to myofibroblast differentiation is probably a crucial event. The cytokine TGF-β1 is reportedly the most important regulator of myofibroblastic differentiation in other species. The aim of this study was to isolate and characterise renal fibroblasts from cadaverous kidney tissue of cats with and without CKD, and to investigate the transcriptional response to TGF-β1

Green, Brown, and Now White Certificates: Are Three One Too Many? A Micromodel of Market Interaction

Our paper deals with modeling the effects of introducing a market-based tool for improving end-users' efficiency in an energy market which is already regulated through a cap-and-trade system for green house gas emissions and a quota system meant to improve competitiveness of energy produced using renewable resources. Our results show that the regulation of energy demand achieves its underlying objects of energy savings and energy efficiency solely at the expense of other goals such as the environmental efficiency of energy production. In our model, the implementation of a market for White Certificates (WCTS) causes energy producers' investment in abatement to decrease along with the price for Brown Certificates and the amount of renewable energy demanded. Once we turn to the currently more empirically relevant case of integrating end-users only partially into WCTS, the unregulated group compensates in parts for the decrease in demand of the regulated group, due to an indirect price effect. As both supply and demand side of the market are regulated, this special set of regulations applied can, therefore, be compared to the grip of pincers embracing the entire market, leaving some of it virtually scarred. Consequently, we intended to search for alternative policy measures, which are able to achieve an increase in end-users' energy efficiency without the negative side-effects witnessed in case of a WCTS. In our model a subsidized reduction in the price for households' investment in energy efficiency renders just slightly more favorable results than an implementation of WCTS. However, the most effective way to accomplish all goals of environmental policy alike is to reduce the cap on emissions

International criteria for acute kidney injury: advantages and remaining challenges

• Acute Kidney Injury (AKI) is defined using widely accepted international criteria that are based on changes in serum creatinine concentration and degree of oliguria. • AKI, when defined in this way, has a strong association with poor patient outcomes, including high mortality rates and longer hospital admissions with increased resource utilisation and subsequent chronic kidney disease. • The detection of AKI using current criteria can assist with AKI diagnosis and stratification of individual patient risk. • The diagnosis of AKI requires clinical judgement to integrate the definition of AKI with the clinical situation, to determine underlying cause of AKI, and to take account of factors that may affect performance of current definitions

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Meta Modeling for Business Process Improvement

Conducting business process improvement (BPI) initiatives is a topic of high priority for today’s companies. However, performing BPI projects has become challenging. This is due to rapidly changing customer requirements and an increase of inter-organizational business processes, which need to be considered from an end-to-end perspective. In addition, traditional BPI approaches are more and more perceived as overly complex and too resource-consuming in practice. Against this background, the paper proposes a BPI roadmap, which is an approach for systematically performing BPI projects and serves practitioners’ needs for manageable BPI methods. Based on this BPI roadmap, a domain-specific conceptual modeling method (DSMM) has been developed. The DSMM supports the efficient documentation and communication of the results that emerge during the application of the roadmap. Thus, conceptual modeling acts as a means for purposefully codifying the outcomes of a BPI project. Furthermore, a corresponding software prototype has been implemented using a meta modeling platform to assess the technical feasibility of the approach. Finally, the usability of the prototype has been empirically evaluated

NOX1 loss-of-function genetic variants in patients with inflammatory bowel disease.

Genetic defects that affect intestinal epithelial barrier function can present with very early-onset inflammatory bowel disease (VEOIBD). Using whole-genome sequencing, a novel hemizygous defect in NOX1 encoding NAPDH oxidase 1 was identified in a patient with ulcerative colitis-like VEOIBD. Exome screening of 1,878 pediatric patients identified further seven male inflammatory bowel disease (IBD) patients with rare NOX1 mutations. Loss-of-function was validated in p.N122H and p.T497A, and to a lesser degree in p.Y470H, p.R287Q, p.I67M, p.Q293R as well as the previously described p.P330S, and the common NOX1 SNP p.D360N (rs34688635) variant. The missense mutation p.N122H abrogated reactive oxygen species (ROS) production in cell lines, ex vivo colonic explants, and patient-derived colonic organoid cultures. Within colonic crypts, NOX1 constitutively generates a high level of ROS in the crypt lumen. Analysis of 9,513 controls and 11,140 IBD patients of non-Jewish European ancestry did not reveal an association between p.D360N and IBD. Our data suggest that loss-of-function variants in NOX1 do not cause a Mendelian disorder of high penetrance but are a context-specific modifier. Our results implicate that variants in NOX1 change brush border ROS within colonic crypts at the interface between the epithelium and luminal microbes

IMPROVE-PD Finder: A Web-Based Platform to Search and Share Peritoneal Dialysis Biobank, Registry, and Clinical Trial Metadata

Peritoneal dialysis (PD) is a life-sustaining kidney replacement therapy for the increasing number of people with permanent kidney failure across all age groups worldwide. Although PD potentially offers socioeconomic and performance benefits over hemodialysis, both treatments severely accelerate complications of chronic kidney disease, in particular atherosclerotic disease progression that worsens outcomes when compared with non-dialysis patients.1 Improved understanding of the underlying molecular pathogenic mechanisms should help in the design of interventions that improve outcomes.2 Current state of the art in PD research, however, faces major limitations. Although there are numerous in vitro and ex vivo studies on complex cellular and molecular networks active in PD3, 4, 5 and in vivo animal models of PD6, 7, 8 that provide in-depth pathomechanistic insights and allow identification of promising therapeutic targets,9,S1,S2 translation into clinical studies is a major challenge.S3 Patient studies that aim to substantiate experimental findings with definitive clinical outcome data are mostly small. As a result, they have not provided sufficient power to derive meaningful or clinically implementable conclusions.2 Basic PD technique has hardly changed over decades, despite high PD-related complication rates. Randomized prospective trials with hard clinical end points studied with adequate power are difficult to realize in a multifactorial setting with low patient numbers (360,000 worldwide) and are associated with high costs. To overcome these barriers intermediate end points such as PD effluent biomarkers associated (but not necessarily causally related) with hard clinical end points and composite end points are often studied.S4,S5 Equally, combining analyses of existing cohort studies and trial data through collaborative sharing might be of considerable benefit