Results 71 to 80 of about 328,619 (354)

Do acute elevations of serum creatinine in primary care engender an increased mortality risk? [PDF]

, 2014
Background: The significant impact Acute Kidney Injury (AKI) has on patient morbidity and mortality emphasizes the need for early recognition and effective treatment.
A Bottle, A Lassnigg, A Wonnacott, AS Levey, B Talabani, Christopher KT Farmer, CY Hsu, Department of Health, EA Hoste, EM Burns, GM Chertow, Helen Hobbs, J Stewart, Jean Irving, JP Lafrance, L Gruberg, M Bedford, M Bedford, Michael Bedford, ML Praught, MM Levy, MM Schissler, Office of National Statistics, PA McCullough, Paul Bassett, Paul E Stevens, PG Metnitz, PK Li, R Bellomo, R Mehta, RL Mehta, RL Mehta, RW Schrier, S Uchino, SS Waikar, Toby Wheeler   +35 more
core   +1 more source

Nephrology: As It Was Then, But Is Not Now [PDF]

American Journal of Kidney Diseases, 2017
Diseases of the kidney are old, but the discipline dedicated to their study, nephrology, is barely more than 50 years old. As recounted in this recollection of those events, the rudiments of what would become nephrology emerged in the time between the 2 World Wars from basic studies of normal kidney function and flourished after the integration of ...
openaire   +2 more sources

Smart Organic–Inorganic Copolymer Nanoparticles Distinguish Between Microglia and Cancer Cells for Synergistic Immunotherapy in Glioma

Advanced Science, EarlyView.
The tumor microenvironment‐responsive nanoagonists are developed using an organic–inorganic copolymer composed of the polymer (PC6AB) and manganous phosphate ionic oligomers (MnP). PC6AB with membranolytic activity selectively interacts with tumor cell membranes to induce immunogenic cell death, while MnP activates the STING pathway in immune cells ...
Shiming Zhang, Kun Shang, Lidong Gong, Qian Xie, Jianfei Sun, Meng Xu, Xunbin Wei, Zhaoheng Xie, Xinyu Liu, Hao Tang, Zhengren Xu, Wei Wang, Haihua Xiao, Zhiqiang Lin, Hongbin Han   +14 more
wiley   +1 more source

Gaussian Graphical Model exploration and selection in high dimension low sample size setting [PDF]

arXiv, 2020
Gaussian Graphical Models (GGM) are often used to describe the conditional correlations between the components of a random vector. In this article, we compare two families of GGM inference methods: nodewise edge selection and penalised likelihood maximisation. We demonstrate on synthetic data that, when the sample size is small, the two methods produce
arxiv  

Cohort profile: Canadian study of prediction of death, dialysis and interim cardiovascular events (CanPREDDICT) [PDF]

, 2013
Background: The Canadian Study of Prediction of Death, Dialysis and Interim Cardiovascular Events (CanPREDDICT) is a large, prospective, pan-Canadian, cohort study designed to improve our understanding of determinants of renal and cardiovascular (CV ...
Brendan, Barrett, Clase, Catherine M, Djurdjev, Ognjenka, Holmes, Daniel, Levin, Adeera, Madore, Francois, Muirhead, Norman, on behalf of the CanPREDDICT investigators, Rigatto, Claudio, Tang, Mila   +9 more
core   +1 more source

CCDC80 Protects against Aortic Dissection and Rupture by Maintaining the Contractile Smooth Muscle Cell Phenotype

Advanced Science, EarlyView.
Aortic dissection (AD) is accompanied by a decrease in CCDC80 in vascular smooth muscle cells (VSMCs). CCDC80 can interact with JAK2, and VSMC‐specific CCDC80 deficiency accelerates the progression of AD by activating the JAK2/STAT3 pathway involved in regulating the phenotype switching and function of VSMCs.
Qingqing Xiao, Yi Li, Bin Cai, Xiying Huang, Liang Fang, Feng Liang, Long Chen, Ke Xu, Weifeng Zhang, Xiaolei Wang, Anwen Yin, Xia Wang, Zhaohua Cai, Fei Zhuang, Qin Shao, Bin Zhou, Berthold Hocher, Ben He, Linghong Shen   +18 more
wiley   +1 more source

Tubular secretion of creatinine and kidney function: an observational study. [PDF]

, 2020
BackgroundPrior papers have been inconsistent regarding how much creatinine clearance (CrCl) overestimates glomerular filtration rate (GFR). A recent cross-sectional study suggested that measurement error alone could entirely account for the longstanding
Hsu, Chi-Yuan, Ku, Elaine, Lieske, John C, McCulloch, Charles E, Rule, Andrew D, Zhang, Xuehan   +5 more
core  

Renal AA-amyloidosis in intravenous drug users - a role for HIV-infection? [PDF]

, 2012
Background: Chronic renal disease is a serious complication of long-term intravenous drug use (IVDU). Recent reports have postulated a changing pattern of underlying nephropathy over the last decades.
Amann, Kerstin Ute, Betz, Christoph, Bickel, Markus, Büttner, Maike, Grützmacher, Peter, Haack, Hans Stefan, Jung, Oliver, Stephan, Christoph   +7 more
core   +2 more sources

Cystatin C as Biomarker for the Evaluation of Renal Outcome in AL Amyloidosis

American Journal of Hematology, EarlyView.
ABSTRACT Cystatin C (CysC) has emerged as a novel and potentially more reliable biomarker for the estimation of glomerular filtration in the general population in patients with various conditions. In AL amyloidosis, the current renal staging system and renal response criteria are based on proteinuria and creatinine‐based eGFR.
Foteini Theodorakakou, Despina Fotiou, Filia Apostolakou, Ioannis Papassotiriou, Vasiliki Spiliopoulou, Ioannis Ntanasis‐Stathopoulos, Panagiotis Malandrakis, Magdalini Migkou, Nikolaos Kanellias, Evangelos Eleutherakis‐Papaiakovou, Erasmia Psimenou, Asimina Papanikolaou, Charikleia Gakiopoulou, Smaragdi Marinaki, Stavroula Giannouli, Maria Gavriatopoulou, Evangelos Terpos, Meletios‐Athanasios Dimopoulos, Efstathios Kastritis   +18 more
wiley   +1 more source

Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Survey [PDF]

arXiv, 2021
With the advancements in computer technology, there is a rapid development of intelligent systems to understand the complex relationships in data to make predictions and classifications. Artificail Intelligence based framework is rapidly revolutionizing the healthcare industry. These intelligent systems are built with machine learning and deep learning
arxiv