Tocilizumab and Active Antibody-Mediated Rejection in Kidney Transplantation: A Literature Review
Frontiers in Immunology, 2022 IntroductionChronic kidney disease (CKD) is a major public-health problem that increases the risk of end-stage kidney disease (ESKD), cardiovascular diseases, and other complications.
Lara Cabezas +10 more
doaj +1 more source
Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study [PDF]
JMIR Form Res JMIR Formative Research. 2024 Feb 21:8:e51727Access to health care services is a critical determinant of population health and well-being. Measuring spatial accessibility to health services is essential for understanding health care distribution and addressing potential inequities. In this study, we developed a geoprocessing toolbox including Python script tools for the ArcGIS Pro environment to ...
arxiv +1 more source
Hepatitis C in hemodialysis centers of golestan province, northeast of Iran (2005) [PDF]
, 2008 Background and Aims: Nosocomial transmission of blood-borne pathogens is common in a dialysis setting. Hepatitis C virus (HCV) infection is a common problem that increases morbidity and mortality in hemodialysis patients.
Besharat, S. +2 more
core
Halothane hepatitis with renal failure treated with hemodialysis and exchange transfusion [PDF]
, 1974 A 38-year-old white female, hepatitis B antigen negative, developed fluminating hepatic failure associated with oliguria and severe azotemia after two halothane anesthesia and without exposure to other hepatotoxic drugs or blood transfusions.
A. G. Redeker +14 more
core +1 more source
Application of Multiple Imputation When Using Propensity Score Methods to Generalize Clinical Trials to Target Populations of Interest [PDF]
arXiv, 2022 When the distribution of treatment effect modifiers differs between the trial sample and target population, inverse probability weighting (IPSW) can be applied to achieve an unbiased estimate of the population average treatment effect in the target population.
arxiv
Survival Analysis of Hemodialysis Patients [PDF]
, 2016 Survival analysis as a collection of statistical procedures for analyzing the data that its outcome variable was the time to occurrence of an event. Kaplan-Meier method is a type of survival analysis technique, this method is often called the Product ...
Ardianto, E. T. (Efri) +2 more
core +2 more sources
Efficacy of different telemonitoring strategies on chronic heart failure care
Medicine, 2022 . Background:. Growing interest on the effects of telemonitoring on patients with chronic heart failure (CHF) has led to a rise in the number of trials addressing the same or very similar research questions with a concomitant increase in discordant ...
Aichun Wu, MB, Hongbing Li, MB
doaj +1 more source
Converting Hemodialysis (HD) membranes to Extracorporeal Membrane Oxygenation (ECMO) machines [PDF]
arXiv, 2020 Crises like COVID-19 can create a massive unmet demand for rare blood oxygenation membrane machines for impaired lungs: Extracorporeal Membrane Oxygenation (ECMO) machines. Meanwhile, Hemodialysis (HD) machines, which use membranes to supplement failing kidneys, are extremely common and widespread, with orders of magnitude more available than for ECMO ...
arxiv
A Semi-supervised Learning Approach for B-line Detection in Lung Ultrasound Images [PDF]
arXiv, 2022 Studies have proved that the number of B-lines in lung ultrasound images has a strong statistical link to the amount of extravascular lung water, which is significant for hemodialysis treatment. Manual inspection of B-lines requires experts and is time-consuming, whilst modelling automation methods is currently problematic because of a lack of ground ...
arxiv
Sparse Positive-Definite Estimation for Covariance Matrices with Repeated Measurements [PDF]
arXiv, 2023 Repeated measurements are common in many fields, where random variables are observed repeatedly across different subjects. Such data have an underlying hierarchical structure, and it is of interest to learn covariance/correlation at different levels. Most existing methods for sparse covariance/correlation matrix estimation assume independent samples ...
arxiv