Iohexol Plasma Clearance in Determining Glomerular Filtration Rate in Diabetic Patients

Renal Failure ◽  
1998 ◽  
Vol 20 (2) ◽  
pp. 277-284 ◽  
Author(s):  
Laura Pucci ◽  
Simona Bandinelli ◽  
Giuseppe Penno ◽  
Monica Nannipieri ◽  
Loredana Rizzo ◽  
...  
Nephron ◽  
2016 ◽  
Vol 133 (1) ◽  
pp. 62-70 ◽  
Author(s):  
Fabiola Carrara ◽  
Nadia Azzollini ◽  
Giovanni Nattino ◽  
Daniela Corna ◽  
Sebastian Villa ◽  
...  

Author(s):  
Laurence Dubourg ◽  
Sandrine Lemoine ◽  
Brune Joannard ◽  
Laurence Chardon ◽  
Vandréa de Souza ◽  
...  

AbstractObjectivesThe one-compartment iohexol plasma clearance has been proposed as a reliable alternative to renal inulin clearance. However, this method’s performance depends on the formula used to calculate glomerular filtration rate (GFR). This study reports on performance comparisons between various mathematical formulas proposed for iohexol plasma clearance vs. inulin urinary clearance.MethodsGFR was simultaneously determined by inulin and iohexol clearance in 144 participants (age: 10–84 years; glomerular filtration rate: 15–169 mL/min/1.73 m2). A retrospective cross-sectional study evaluated the performance of four formulas proposed to calculate plasma iohexol clearance (Brøchner–Mortensen, Fleming et al., Jødal–Brøchner–Mortensen, and Ng–Schwartz–Munoz). The performance of each formula was assessed using bias, precision (standard deviation of the bias), accuracy (percentage iohexol within 5, 10, and 15%), root mean square error, and concordance correlation coefficient vs. renal inulin clearance as reference.ResultsRegarding accuracy, there was no difference in root mean square error (RMSE), P5, P10, or P15 between the four formulas. The four concordance correlation coefficients (CCC) between the value from each formula and in-GFR were high and not significantly different. At in-GFR ≥90 mL/min/1.73 m2, Ng–Schwartz–Munoz formula performed slightly better than other formulas regarding median bias (−0.5; 95% CI [−3.0 to 2.0] and accuracy P15 (95.0; 95% CI [88.0–100.0]).ConclusionsThe studied formulas were found equivalent in terms of precision and accuracy, but the Ng–Schwartz–Munoz formula improved the accuracy at higher levels of in-GFR.


2021 ◽  
Vol 12 ◽  
Author(s):  
Sarah Baklouti ◽  
Didier Concordet ◽  
Vitaliano Borromeo ◽  
Paola Pocar ◽  
Paola Scarpa ◽  
...  

Monitoring iohexol plasma clearance is considered a useful, reliable, and sensitive tool to establish glomerular filtration rate (GFR) and early stages of kidney disease in both humans and veterinary medicine. The assessment of GFR based on iohexol plasma clearance needs repeated blood sampling over hours, which is not easily attainable in a clinical setting. The study aimed to build a population pharmacokinetic (Pop PK) model to estimate iohexol plasma clearance in a population of dogs and based on this model, to indicate the best sampling times that enable a precise clearance estimation using a low number of samples. A Pop PK model was developed based on 5 iohexol plasma samples taken from 5 to 180 minutes (min) after an intravenous iohexol nominal dose of 64.7 mg/kg from 49 client-owned dogs of different breeds, sexes, ages, body weights, and clinical conditions (healthy or presenting chronic kidney disease CKD). The design of the best sampling times could contain either 1 or 2 or 3 sampling times. These were discretized with a step of 30 min between 30 and 180 min. A two-compartment Pop PK model best fitted the data; creatinine and kidney status were the covariates included in the model to explain a part of clearance variability. When 1 sample was available, 90 or 120 min were the best sampling times to assess clearance for healthy dogs with a low creatinine value. Whereas for dogs with CKD and medium creatinine value, the best sampling time was 150 or 180 min, for CKD dogs with a high creatinine value, it was 180 min. If 2 or 3 samples were available, several sampling times were possible. The method to define the best sampling times could be used with other Pop PK models as long as it is representative of the patient population and once the model is built, the use of individualized sampling times for each patient allows to precisely estimate the GFR.


2014 ◽  
Vol 430 ◽  
pp. 84-85 ◽  
Author(s):  
Sergio Luis-Lima ◽  
Flavio Gaspari ◽  
Esteban Porrini ◽  
Martín García-González ◽  
Norberto Batista ◽  
...  

2016 ◽  
Vol 28 (03) ◽  
pp. 1650016
Author(s):  
Yu Chu-Su ◽  
Chien-Sheng Liu ◽  
Ruey-Shin Chen ◽  
Chii-Wann Lin

Background: The result of a standard urinary dipstick from a patient with diabetes mellitus type 2 can be used to predict the estimated glomerular filtration rate (eGFR). We designed a multilayer perceptron (MLP) to investigate the possibility and optimal number of variables for the prediction. Methods: A total of 299 volunteers with diabetes mellitus type 2 were included. The blood and urine samples from volunteers were analyzed for blood sugar, glycated hemoglobin, serum creatinine, and urine chemistry. The urine chemistry was examined by a standard urinary dipstick. Volunteer age and gender and six test items of the dipstick were set as eight variables for this study. The eight variables were grouped and examined for the optimal combination. The eight variables from 232 of 299 volunteers were used to train an MLP for the optimal variables. The performance of trained MLP was validated by the data from 69 of 232 volunteers. Results: The optimal combination for variables was the six test items of the dipstick and volunteer age. The area under the curve (0.928), accuracy (0.879), sensitivity (0.83), and specificity (0.88) of the trained MLP were examined. Conclusions: The results demonstrate the eGFR prediction potential of the results of a urinary dipstick using this method.


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