Urea as a marker of adequacy in hemodialysis: Lesson from in vivo urea dynamics monitoring

Canaud, Bernard; Bosc, Jean‐Yves; Cabrol, Laurent; Leray‐Moragues, Hélène; Navino, Carlo; Verzetti, G; Thomaseth, Karl

doi:10.1046/j.1523-1755.2000.07604.x

Cited by 35 publications

(27 citation statements)

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“…The high accuracy of this indirect method for measuring G has been verified in clinical and analytical studies [15,31,39].…”

Section: Reference Methodsmentioning

confidence: 70%

“…This model is an extension of the one of Canaud et al [15] for taking into account the renal residual clearance. The high accuracy of this model was verified by Canaud et al, comparing model extracellular urea concentrations to plasma urea concentrations measured by a continuous urea monitoring system (UMS) [15].…”

Section: Reference Methodsmentioning

confidence: 99%

“…The first of them tries to reduce the difference between the measured Kt/V and the true mKt/V using a two-pool a urea kinetic model (2pUKM) for predicting the evolution of extracellular urea concentration during dialysis. Despite the high accuracy of this approach, it is difficult to implement in clinical due to the excessive computational complexity and the intersession variation of the patient two-pool kinetic parameters [15,16].…”

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confidence: 99%

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Double target comparison of blood-side methods for measuring the hemodialysis dose

Prado

Roa

Palma

et al. 2005

Kidney International

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“…The high accuracy of this indirect method for measuring G has been verified in clinical and analytical studies [15,31,39].…”

Section: Reference Methodsmentioning

confidence: 70%

Section: Reference Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Double target comparison of blood-side methods for measuring the hemodialysis dose

Prado

Roa

Palma

et al. 2005

Kidney International

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show abstract

“…2,16,17,25 Multiple variables are involved in the underlying process and most of them are patientdependent. These variables display high variability and co-variability, making their use difficult in the development of linear models by the ordinary least squares (OLS) estimation process.…”

Section: Discussionmentioning

confidence: 99%

Partial Least Squares Regression: A Valuable Method for Modeling Molecular Behavior in Hemodialysis

Fernández

Valtuille²,

Willshaw

et al. 2008

Ann Biomed Eng

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The aim of this work was to use the Partial Least Squares Regression (PLS) technique to fit simple models for the interpretation of an underlying complex process. In this study, the technique was used to build a statistical model for molecular kinetic data obtained from hemodialyzed patients. By using PLS we derived statistical linear models for the prediction of the equilibrated urea concentration which would be reached 30-60 min after the end of the dialysis session. Models with an average relative prediction error (RPE) of less than 0.05% were achieved. The model predictive accuracy was evaluated in a cross-center study yielding an RPE < 3%. The chosen model was robust to variations such as sampling extraction time demonstrating a high capacity for modeling kinetics. It also was found to be useful for bedside monitoring. Finally, the PLS technique allowed identification of the most important co-variables in the model and of those patients with outlier patterns in their molecular dynamics.

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“…Several single pool models, allowing accurate determination of the concentration of a specific solute [1] are present in the literature; double pool models also exist to study a single solute exchange [2,3]. Actually these models are not able to describe the physiopathological mechanism affecting plasma refilling and inducing intradialysis discomfort.…”

Section: Introductionmentioning

confidence: 99%

Cardiovascular stability and patient dependent mass transfer during dialysis

Casagrande

Teatini²,

Longhena³

et al. 2008

2008 Computers in Cardiology

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A better patient cardiovascular stability to haemodialysis (HD) has proved to be related to therapy customization. To this aim the development of a patientdependent mass transfer model would play a key role. On the other hand the patient and machine parameters monitoring would allow the calculation of indexes characterizing the peculiar response to HD.A total of 18 patients undergoing standard HD were enrolled. Blood volume variation, ultrafiltration rate and other relevant intra-dialysis parameters were monitored at scheduled times during HD sessions over one month. A three-pool model of mass transfer in patients undergoing HD was developed and interfaced to a simulated HD filter. The model was customized taking into account capillary permeability and arterial compliance variation according to patient age. The effect induced by different dialysis filters was also studied. Based on the recorded data the Plasma Refilling Index (PRI) was calculated.The model outputs were consistent with the clinical recorded parameters. PRI trend resulted to be distinctive of each patient and to highlight dry weight overestimation.

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Urea as a marker of adequacy in hemodialysis: Lesson from in vivo urea dynamics monitoring

Cited by 35 publications

References 1 publication

Double target comparison of blood-side methods for measuring the hemodialysis dose

Double target comparison of blood-side methods for measuring the hemodialysis dose

Partial Least Squares Regression: A Valuable Method for Modeling Molecular Behavior in Hemodialysis

Cardiovascular stability and patient dependent mass transfer during dialysis

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