Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis
The knowledge of the underlying molecular kinetics is a key point for the development of a dialysis treatment as well as for patient monitoring. In this work, we propose a kinetic inference method that is general enough to be used on different molecular types measured in the spent dialysate. It esti...
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I38-R144-40202025-04-10T17:53:41Z http://pa.bibdigital.ucc.edu.ar/4020/ Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis Fernández, Elmer Andrés Perazzo, Carlos Alberto Valtuille, Rodolfo Willshaw, Peter Balzarini, Mónica TA Ingeniería de asistencia técnica (General). Ingeniería Civil (General) The knowledge of the underlying molecular kinetics is a key point for the development of a dialysis treatment as well as for patient monitoring. In this work, we propose a kinetic inference method that is general enough to be used on different molecular types measured in the spent dialysate. It estimates the number and significance of the compartments involved in the overall process of dialysis by means of a spectral deconvolution technique, characterizing therefore the kinetic behavior of the patient. The method was applied to 52 patients to reveal the underlying kinetics from dialysate time-concentration profiles of urea, which has a well-known molecular kinetic. Three types of behaviors were found: one-compartmental (exponential decay Tau = 180 ± 61.64 minutes), bicompartmental (Tau1 = 24.96 ± 19.33 minutes, Tau2 = 222.32 ± 76.59 minutes), and tricompartmental (Tau1 = 23.03 ± 14.21 minutes; Tau2 = 85.75 ± 27.48 minutes; and Tau3 = 337 ± 85.52 minutes). In patients with bicompartmental kinetics, the Tau2 was related to the level of dialysis dose. The study concluded that spectral deconvolution technique can be considered a powerful tool for molecular kinetics inference that could be integrated in on-line molecular analysis devices. Furthermore, the method could be used in the analysis of poorly understood molecules as well as in new hemodialysis target biomarkers. 2007-11-31 info:eu-repo/semantics/article info:eu-repo/semantics/closedAccess application/pdf spa http://pa.bibdigital.ucc.edu.ar/4020/1/A_Fern%C3%A1ndez_Perazzo_Valtuille_Willshauw_Balzarini.pdf Fernández, Elmer Andrés ORCID: https://orcid.org/0000-0002-4711-8634 <https://orcid.org/0000-0002-4711-8634>, Perazzo, Carlos Alberto ORCID: https://orcid.org/0000-0002-4392-3484 <https://orcid.org/0000-0002-4392-3484>, Valtuille, Rodolfo ORCID: https://orcid.org/0000-0003-2434-9226 <https://orcid.org/0000-0003-2434-9226>, Willshaw, Peter and Balzarini, Mónica ORCID: https://orcid.org/0000-0002-4858-4637 <https://orcid.org/0000-0002-4858-4637> (2007) Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis. ASAIO Journal, 53 (5). pp. 582-586. ISSN 1058-2916 info:eu-repo/semantics/altIdentifier/doi/10.1097/MAT.0b013e318145bb31 |
institution |
Universidad Católica de Córdoba |
institution_str |
I-38 |
repository_str |
R-144 |
collection |
Producción Académica Universidad Católica de Córdoba (UCCor) |
language |
Español |
orig_language_str_mv |
spa |
topic |
TA Ingeniería de asistencia técnica (General). Ingeniería Civil (General) |
spellingShingle |
TA Ingeniería de asistencia técnica (General). Ingeniería Civil (General) Fernández, Elmer Andrés Perazzo, Carlos Alberto Valtuille, Rodolfo Willshaw, Peter Balzarini, Mónica Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis |
topic_facet |
TA Ingeniería de asistencia técnica (General). Ingeniería Civil (General) |
description |
The knowledge of the underlying molecular kinetics is a key point for the development of a dialysis treatment as well as for patient monitoring. In this work, we propose a kinetic inference method that is general enough to be used on different molecular types measured in the spent dialysate. It estimates the number and significance of the compartments involved in the overall process of dialysis by means of a spectral deconvolution technique, characterizing therefore the kinetic behavior of the patient. The method was applied to 52 patients to reveal the underlying kinetics from dialysate time-concentration profiles of urea, which has a well-known molecular kinetic. Three types of behaviors were found: one-compartmental (exponential decay Tau = 180 ± 61.64 minutes), bicompartmental (Tau1 = 24.96 ± 19.33 minutes, Tau2 = 222.32 ± 76.59 minutes), and tricompartmental (Tau1 = 23.03 ± 14.21 minutes; Tau2 = 85.75 ± 27.48 minutes; and Tau3 = 337 ± 85.52 minutes). In patients with bicompartmental kinetics, the Tau2 was related to the level of dialysis dose. The study concluded that spectral deconvolution technique can be considered a powerful tool for molecular kinetics inference that could be integrated in on-line molecular analysis devices. Furthermore, the method could be used in the analysis of poorly understood molecules as well as in new hemodialysis target biomarkers. |
format |
Artículo |
author |
Fernández, Elmer Andrés Perazzo, Carlos Alberto Valtuille, Rodolfo Willshaw, Peter Balzarini, Mónica |
author_facet |
Fernández, Elmer Andrés Perazzo, Carlos Alberto Valtuille, Rodolfo Willshaw, Peter Balzarini, Mónica |
author_sort |
Fernández, Elmer Andrés |
title |
Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis |
title_short |
Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis |
title_full |
Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis |
title_fullStr |
Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis |
title_full_unstemmed |
Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis |
title_sort |
molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis |
publishDate |
2007 |
url |
http://pa.bibdigital.ucc.edu.ar/4020/1/A_Fern%C3%A1ndez_Perazzo_Valtuille_Willshauw_Balzarini.pdf |
work_keys_str_mv |
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1832592430633844736 |