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In vivo validation of the adequacy calculator for continuous renal replacement therapies

INTRODUCTION: The study was conducted to validate in vivo the Adequacy Calculator, a Microsoft Excel-based program, designed to assess the prescription and delivery of renal replacement therapy in the critical care setting. METHODS: The design was a prospective cohort study, set in two intensive car...

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Autores principales: Ricci, Zaccaria, Salvatori, Gabriella, Bonello, Monica, Pisitkun, Tirak, Bolgan, Irene, D'Amico, Giuseppe, Dan, Maurizio, Piccinni, Pasquale, Ronco, Claudio
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1175890/
https://www.ncbi.nlm.nih.gov/pubmed/15987400
http://dx.doi.org/10.1186/cc3517
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author Ricci, Zaccaria
Salvatori, Gabriella
Bonello, Monica
Pisitkun, Tirak
Bolgan, Irene
D'Amico, Giuseppe
Dan, Maurizio
Piccinni, Pasquale
Ronco, Claudio
author_facet Ricci, Zaccaria
Salvatori, Gabriella
Bonello, Monica
Pisitkun, Tirak
Bolgan, Irene
D'Amico, Giuseppe
Dan, Maurizio
Piccinni, Pasquale
Ronco, Claudio
author_sort Ricci, Zaccaria
collection PubMed
description INTRODUCTION: The study was conducted to validate in vivo the Adequacy Calculator, a Microsoft Excel-based program, designed to assess the prescription and delivery of renal replacement therapy in the critical care setting. METHODS: The design was a prospective cohort study, set in two intensive care units of teaching hospitals. The participants were 30 consecutive critically ill patients with acute renal failure treated with 106 continuous renal replacement therapies (CRRT). Urea clearance computation was performed with the Adequacy Calculator (K(CALC)). Simultaneous blood and effluent urea samples were collected to measure the effectively delivered urea clearance (K(DEL)) at the beginning of each treatment and, during 73 treatments, between the 18th and 24th treatment hour. The correlation between 179 computed and 179 measured clearances was assessed. Fractional clearances for urea were calculated as spKt/V (where sp represents single pool, K is clearance, t is time, and V is urea volume of distribution) obtained from software prescription and compared with the delivered spKt/V obtained from empirical data. RESULTS: We found that the value of clearance predicted by the calculator was strongly correlated with the value obtained from computation on blood and dialysate determination (r = 0.97) during the first 24 treatment hours, regardless of the renal replacement modality used. The delivered spKt/V (1.25) was less than prescribed (1.4) from the Adequacy Calculator by 10.7%, owing to therapy downtime. CONCLUSION: The Adequacy Calculator is a simple tool for prescribing CRRT and for predicting the delivered dose. The calculator might be a helpful tool for standardizing therapy and for comparing disparate treatments, making it possible to perform large multi-centre studies on CRRT.
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spelling pubmed-11758902005-07-17 In vivo validation of the adequacy calculator for continuous renal replacement therapies Ricci, Zaccaria Salvatori, Gabriella Bonello, Monica Pisitkun, Tirak Bolgan, Irene D'Amico, Giuseppe Dan, Maurizio Piccinni, Pasquale Ronco, Claudio Crit Care Research INTRODUCTION: The study was conducted to validate in vivo the Adequacy Calculator, a Microsoft Excel-based program, designed to assess the prescription and delivery of renal replacement therapy in the critical care setting. METHODS: The design was a prospective cohort study, set in two intensive care units of teaching hospitals. The participants were 30 consecutive critically ill patients with acute renal failure treated with 106 continuous renal replacement therapies (CRRT). Urea clearance computation was performed with the Adequacy Calculator (K(CALC)). Simultaneous blood and effluent urea samples were collected to measure the effectively delivered urea clearance (K(DEL)) at the beginning of each treatment and, during 73 treatments, between the 18th and 24th treatment hour. The correlation between 179 computed and 179 measured clearances was assessed. Fractional clearances for urea were calculated as spKt/V (where sp represents single pool, K is clearance, t is time, and V is urea volume of distribution) obtained from software prescription and compared with the delivered spKt/V obtained from empirical data. RESULTS: We found that the value of clearance predicted by the calculator was strongly correlated with the value obtained from computation on blood and dialysate determination (r = 0.97) during the first 24 treatment hours, regardless of the renal replacement modality used. The delivered spKt/V (1.25) was less than prescribed (1.4) from the Adequacy Calculator by 10.7%, owing to therapy downtime. CONCLUSION: The Adequacy Calculator is a simple tool for prescribing CRRT and for predicting the delivered dose. The calculator might be a helpful tool for standardizing therapy and for comparing disparate treatments, making it possible to perform large multi-centre studies on CRRT. BioMed Central 2005 2005-04-07 /pmc/articles/PMC1175890/ /pubmed/15987400 http://dx.doi.org/10.1186/cc3517 Text en Copyright © 2005 Ricci et al.; licensee BioMed Central Ltd.
spellingShingle Research
Ricci, Zaccaria
Salvatori, Gabriella
Bonello, Monica
Pisitkun, Tirak
Bolgan, Irene
D'Amico, Giuseppe
Dan, Maurizio
Piccinni, Pasquale
Ronco, Claudio
In vivo validation of the adequacy calculator for continuous renal replacement therapies
title In vivo validation of the adequacy calculator for continuous renal replacement therapies
title_full In vivo validation of the adequacy calculator for continuous renal replacement therapies
title_fullStr In vivo validation of the adequacy calculator for continuous renal replacement therapies
title_full_unstemmed In vivo validation of the adequacy calculator for continuous renal replacement therapies
title_short In vivo validation of the adequacy calculator for continuous renal replacement therapies
title_sort in vivo validation of the adequacy calculator for continuous renal replacement therapies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1175890/
https://www.ncbi.nlm.nih.gov/pubmed/15987400
http://dx.doi.org/10.1186/cc3517
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