Comparison Between CKD-EPI Creatinine and MDRD Equations to Estimate Glomerular Filtration Rate in Kidney Transplant Patients

2016 ◽  
Vol 48 (2) ◽  
pp. 625-630 ◽  
Author(s):  
C.A. Mombelli ◽  
M.C. Giordani ◽  
N.C. Imperiali ◽  
S.R. Groppa ◽  
L. Ocampo ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Kidney Transplant ◽  
Filtration Rate ◽  
Transplant Patients ◽  
Estimate Glomerular Filtration Rate ◽  
Kidney Transplant Patients

scholarly journals Beneficial Effect of Conversion to Belatacept in Kidney-Transplant Patients with a Low Glomerular-Filtration Rate

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Julie Belliere ◽  
Céline Guilbeau-Frugier ◽  
Arnaud Del Bello ◽  
Laure Esposito ◽  
Caroline Capuani ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Kidney Transplant ◽  
Kidney Function ◽  
Filtration Rate ◽  
Case Reports ◽  
Rescue Therapy ◽  
Mtor Inhibitors ◽  
Transplant Patients ◽  
Kidney Transplant Patients

Belatacept has been found to be efficient at preserving good kidney function in maintenance kidney-transplant patients. Herein, we report on the use of belatacept as a rescue therapy for two kidney-transplant patients presenting with severe adverse events after treatment with calcineurin inhibitors (CNIs) and mammalian target-of-rapamycin (mTOR) inhibitors. Two kidney-transplant patients developed severely impaired kidney function after receiving CNIs. The use of everolimus was associated with severe angioedema. Belatacept was then successfully used to improve kidney function in both cases, even though estimated glomerular-filtration rate before conversion was <20 mL/min. These case reports show that belatacept can be used as a rescue therapy, even if kidney function is very low in kidney-transplant patients who cannot tolerate CNIs and/or mTOR inhibitors.

Accurately simple estimation of glomerular filtration rate in kidney transplant patients

2002 ◽  
Vol 34 (4) ◽  
pp. 1148-1151 ◽  
Author(s):  
K Manotham ◽  
V Booranalertpaisarn ◽  
S Eiam-Ong ◽  
S Chusil ◽  
K Praditpornsilpa ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Kidney Transplant ◽  
Filtration Rate ◽  
Transplant Patients ◽  
Kidney Transplant Patients ◽  
Simple Estimation

scholarly journals MDRD Versus CKD-EPI Equation to Estimate Glomerular Filtration Rate in Kidney Transplant Recipients

2013 ◽  
Vol 95 (10) ◽  
pp. 1211-1217 ◽  
Author(s):  
Ingrid Masson ◽  
Martin Flamant ◽  
Nicolas Maillard ◽  
Andrew D. Rule ◽  
François Vrtovsnik ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Kidney Transplant ◽  
Filtration Rate ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Estimate Glomerular Filtration Rate

The Sask Formula to Estimate Glomerular Filtration Rate in Renal Transplant Patients

2011 ◽  
Vol 117 (2) ◽  
pp. c135-c150 ◽  
Author(s):  
Mohammad Akhtar Hossain ◽  
Hamdi Elmoselhi ◽  
Amin A. Elshorbagy ◽  
Ahmed Shoker
Keyword(s):  
Glomerular Filtration Rate ◽  
Renal Transplant ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Transplant Patients ◽  
Estimate Glomerular Filtration Rate ◽  
Renal Transplant Patients

scholarly journals Incidence and Risk Factors of Hyperuricemia among 2.5 Million Chinese Adults during the Years 2017–2018

2021 ◽  
Vol 18 (5) ◽  
pp. 2360
Author(s):  
Ruiqi Shan ◽  
Yi Ning ◽  
Yuan Ma ◽  
Xiang Gao ◽  
Zechen Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Population Size ◽  
Incidence Rate ◽  
Urban Population ◽  
Filtration Rate ◽  
Chinese Adults ◽  
Estimate Glomerular Filtration Rate ◽  
Fat Liver

Objective: To assess the incidence and risk factors of hyperuricemia among Chinese adults in 2017–2018. Methods: A total of 2,015,847 adults (mean age 41.2 ± 12.7, 53.1% men) with serum uric acid concentrations assayed on at least two separate days in routine health examinations during 2017–2018 were analyzed. Hyperuricemia was defined as fasting serum urate concentration >420 μmol/L in men and >360 μmol/L in women. The overall and sex-specific incidence rate were stratified according to age, urban population size, geographical region, annual average temperature and certain diseases. Logistic regression analyses were performed to explore risk factors associated with hyperuricemia. Results: 225,240 adults were newly diagnosed with hyperuricemia. The age- and sex-standardized incidence rate per 100 person-years was 11.1 (95%CI: 11.0–11.1) (15.2 for men and 6.80 for women). The risk of hyperuricemia was positively associated with younger age, being male, larger urban population size, higher annual temperature, higher body mass index, lower estimate glomerular filtration rate, hypertension, dyslipidemia and fat liver. Conclusions: The incidence of hyperuricemia was substantial and exhibited a rising trend among younger adults, especially among men. Socioeconomic and geographic variation in incidence were observed. The risk of hyperuricemia was associated with estimate glomerular filtration rate, fat liver and metabolic factors.

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