Optimal back-extrapolation method for estimating plasma volume in humans using the indocyanine green dilution method.
Theor Biol Med Model
; 11: 33, 2014 Jul 22.
Article
en En
| MEDLINE
| ID: mdl-25052018
ABSTRACT
BACKGROUND:
The indocyanine green dilution method is one of the methods available to estimate plasma volume, although some researchers have questioned the accuracy of this method.METHODS:
We developed a new, physiologically based mathematical model of indocyanine green kinetics that more accurately represents indocyanine green kinetics during the first few minutes postinjection than what is assumed when using the traditional mono-exponential back-extrapolation method. The mathematical model is used to develop an optimal back-extrapolation method for estimating plasma volume based on simulated indocyanine green kinetics obtained from the physiological model.RESULTS:
Results from a clinical study using the indocyanine green dilution method in 36 subjects with type 2 diabetes indicate that the estimated plasma volumes are considerably lower when using the traditional back-extrapolation method than when using the proposed back-extrapolation method (mean (standard deviation) plasma volume = 26.8 (5.4) mL/kg for the traditional method vs 35.1 (7.0) mL/kg for the proposed method). The results obtained using the proposed method are more consistent with previously reported plasma volume values.CONCLUSIONS:
Based on the more physiological representation of indocyanine green kinetics and greater consistency with previously reported plasma volume values, the new back-extrapolation method is proposed for use when estimating plasma volume using the indocyanine green dilution method.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Volumen Plasmático
/
Técnica de Dilución de Colorante
/
Verde de Indocianina
Tipo de estudio:
Clinical_trials
/
Prognostic_studies
Límite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Theor Biol Med Model
Asunto de la revista:
BIOLOGIA
/
MEDICINA
Año:
2014
Tipo del documento:
Article
País de afiliación:
Estados Unidos