Molecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis

dc.creatorFernández, Elmer Andrés
dc.creatorPerazzo, Carlos Alberto
dc.creatorValtuille, Rodolfo
dc.creatorWillshaw, Peter
dc.creatorBalzarini, Mónica
dc.date2007-11-31
dc.date.accessioned2023-08-30T17:09:21Z
dc.date.available2023-08-30T17:09:21Z
dc.identifierhttp://pa.bibdigital.ucc.edu.ar/4020/1/A_Fern%C3%A1ndez_Perazzo_Valtuille_Willshauw_Balzarini.pdf
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8539749
dc.descriptionThe 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.
dc.descriptionFil: Fernández, Elmer Andrés. Universidad Católica de Córdoba. Facultad de Ingenieria; Argentina
dc.descriptionFil: Perazzo, Carlos Alberto. Favaloro University, Buenos Aires, Argentina
dc.descriptionFil: Valtuille, Rodolfo. Fresenius Medical Care Argentina, Buenos Aires, Argentina
dc.descriptionFil: Willshaw, Peter. School of Health Science, Swansea University, Singleton Park, United Kingdom
dc.descriptionFil: Balzarini, Mónica. Universidad Católica de Córdoba. Facultad de Ingenieria; Argentina
dc.formatapplication/pdf
dc.languagespa
dc.relationhttp://pa.bibdigital.ucc.edu.ar/4020/
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1097/MAT.0b013e318145bb31
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.sourceFernández, 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
dc.subjectTA Ingeniería de asistencia técnica (General). Ingeniería Civil (General)
dc.titleMolecular kinetics modeling in hemodialysis: on-line molecular monitoring and spectral analysis
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/acceptedVersion


Este ítem pertenece a la siguiente institución