Background: It is important to accurately assess the glomerular filtration rate (GFR) of patients with liver diseases, particularly cirrhosis, to deliver care and adjust the drugs' posology. Purpose: The frequency of chronic renal failure is underestimated in patients with advanced liver disease and the difficulty to assess kidney failure justifies the investigator's study, which aims to describe, by means of a population pharmacokinetic model, the evolution of plasma and urinary concentrations of iohexol, an effective non-ionic, water-soluble contrast agent which is used in radiographic procedures, in cirrhotic patients.
Cirrhosis is often complicated by kidney failure and the prognostic value of renal function (serum creatinine) during cirrhosis is included in the MELD model. In addition, chronic kidney disease (15%) after liver transplantation is also an independent mortality factor. The most commonly used methods to estimate GFR are based on creatinine, but in patients suffering from advanced hepatic disease, such as cirrhosis, this parameter is incorrect, due to the low creatinine production and potentially to elevated serum bilirubin and decreased albumin levels. Furthermore, ascites can interfere with serum creatinine concentration. In this condition, all creatinine-based evaluations of GFR overestimate gold standard-measured GFR. Specific eGFR equations for liver disease or new approaches for estimating GFR may be necessary. The plasma clearance of iohexol is a recognized technique for the measurement of the glomerular filtration rate (GFR).
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
13
After injecting a loading dose of 5ml of iohexol bolus, blood samples will be taken at given times for 24 hours. The urinary samples will be taken at each urination, with measurement of the exact volume and times
University Hospital
Limoges, France
Change of plasma concentrations of iohexol in a population of 9 cirrhotic patients from rich kinetics.
Plasma concentration curves for iohexol according to the time.
Time frame: 0 minute, 15 minute, 30 minute, 1 hour, 90 minute, 2 hours, 3 hours, 4 hours, 6 hours, 8 hours, 12 hours, 24 hours
Change of urinary concentrations of iohexol in a population of 9 cirrhotic patients from rich kinetics.
Urine concentration curves for iohexol according to the time.
Time frame: 0 minute, 4 hours, 8 hours, 12 hours, 24 hours
Calculate the renal clearance of iohexol.
Renal clearance of iohexol obtained by noncompartmental analysis.
Time frame: 0 minute, 15 minute, 30 minute, 1 hour, 90 minute, 2 hours, 3 hours, 4 hours, 6 hours, 8 hours, 12 hours, 24 hours
Calculate the plasma clearance of iohexol.
Urinary clearance of iohexol obtained by noncompartmental analysis.
Time frame: 0 minute, 15 minutes, 30 minutes, 1 hour, 90 minutes, 2 hours, 3 hours, 4 hours, 6 hours, 8 hours, 12 hours, 24 hours
Develop a pharmacokinetic model for the estimation of renal clearance from plasma clearance.
The evaluation of the performance of the model will be based on its ability to predict iohexol concentrations, expressed through (%) and accuracy (root of mean bias squared = RMSE) between urinary concentrations and predicted plasma levels and urinary concentrations and observed plasma levels.
Time frame: 0 minute, 15 minutes, 30 minutes, 1 hour, 90 minutes, 2 hours, 3 hours, 4 hours, 6 hours, 8 hours, 12 hours, 24 hrs
Evaluate the correlation between plasma clearance of iohexol obtained by the model and The GFR estimated by (CKD-EPI formula B, MDRD4 and MDRD6 formulas C, renal clearance of cystatine C)
Linear Correlation Coefficients and Point Clouds between the plasma clearance of iohexol estimated by model and the DFGs calculated by the different methods. Bland Altman curves will also be drawn.
Time frame: 0 minute, 24 hours
Determine in the model of plasmatic clearance the relevant covariates.
Evaluation of covariates by multiple linear regression and point clouds (continuous covariates) or Mann Whitney and box plots (categorical covariates). Inclusion of covariates characterized by a P \<0.01 in the model. Looking for covariates that will influence the relationship between plasma clearance and renal clearance : grade of intensity of ascites. 2 grades: minimal, (ultrasound) or moderate and bulky, age, weight (of the day and H24), sex, diuresis of 24 hours, albumin, natriuresis, taking diuretics (nature and dose), other drugs that can influence GFR, biological stigmata of hepatic insufficiency or portal hypertension: bilirubin, albumin, INR, phosphatases, Child Pugh score, MELD score.
Time frame: 0 minute, 24 hours
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