Results 31 to 40 of about 353,912 (198)
Post-kidney donation glomerular filtration rate measurement and estimation
Background: Long-term consequences associated with kidney donation are controversial. Pre- and post-donation glomerular filtration rates (GFRs) are determinants of renal and cardiovascular risk weighting.
Pablo Luján +5 more
doaj +1 more source
Neural Network-Based Calculator for Rat Glomerular Filtration Rate
Glomerular filtration is a pivotal process of renal physiology, and its alterations are a central pathological event in acute kidney injury and chronic kidney disease.
Óscar J. Pellicer-Valero +8 more
doaj +1 more source
Gut microbiota-dependent Trimethylamine-N-oxide (TMAO) has been reported to be strongly linked to renal function and to increased cardiovascular events in the general population and in Chronic Kidney Disease (CKD) patients.
Caroline Pelletier +9 more
semanticscholar +1 more source
Particulate Matter and Albuminuria, Glomerular Filtration Rate, and Incident CKD.
BACKGROUND AND OBJECTIVES Exposure to particulate matter (PM)
Matthew F Blum +7 more
semanticscholar +1 more source
Glomerular Filtration Rate [PDF]
Low glomerular filtration rate predicts cardiovascular disease, end stage renal disease (a requirement for dialysis or transplantation), and death.1 In a population based study reported in this week's issue, Hallan and colleagues describe the yield of different screening strategies aimed at identifying people with low glomerular filtration rates.1 The ...
+4 more sources
Advances in Glomerular Filtration Rate Estimation
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Malik A. Rabbani
doaj +2 more sources
Renal hyperfiltration, defined as an increased glomerular filtration rate above normal values, is associated with early phases of kidney disease in the setting of various conditions such as obesity and diabetes.
M. Kanbay +10 more
semanticscholar +1 more source
Patients with chronic kidney disease and severely decreased glomerular filtration rate (GFR) are at high risk for kidney failure, cardiovascular disease (CVD) and death. Accurate estimates of risk and timing of these clinical outcomes could guide patient
Morgan E. Grams +21 more
semanticscholar +1 more source
Statistical bivariate numerical modeling is a method to infer an empirical relationship between unpaired sets of data based on statistical distributions matching.
Sebastian Nicolas Giles, Simone Fiori
doaj +1 more source
The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy
Clinical predictors for pacemaker-induced cardiomyopathy (PICM) (e.g., a wide QRS duration and left bundle branch block at baseline) have been reported.
Mitsunori Oida +11 more
doaj +1 more source

