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An Extension of Janmahasatian's Fat-Free Mass Model for Universal Application Across Populations of Different Ethnicities.
Sinha, Jaydeep; Al-Sallami, Hesham S; Duffull, Stephen B.
Afiliação
  • Sinha J; School of Pharmacy, University of Otago, Dunedin, New Zealand.
  • Al-Sallami HS; Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
  • Duffull SB; School of Pharmacy, University of Otago, Dunedin, New Zealand.
Clin Pharmacokinet ; 59(9): 1161-1170, 2020 09.
Article em En | MEDLINE | ID: mdl-32201910
ABSTRACT

BACKGROUND:

Fat-free mass (FFM)-based dose scaling is increasingly being adopted in clinical pharmacology. Given the complexities with the measurement of FFM in clinical practice, choosing an appropriate equation for FFM is critical for accurate dose scaling. Janmahasatian's FFM model (FFMJan) has largely remained the preferred choice because of its mechanistic basis and good predictive properties. This model was, however, developed from a largely European cohort and has been shown to give biased predictions of FFM in Indian people.

OBJECTIVE:

The objective of this work was to derive an extended version of the FFMJan model (FFMExt) that accounts for the variation in body composition due to ethnicity, and to demonstrate its application by developing an extended FFM model in an Indian population (FFMExt,Ind).

METHODS:

The fundamental assumption of FFMJan model development was a linear relationship between bioimpedance and body mass index. In this extension to Janmahasatian's work, this assumption was extended to allow for potential non-linear relationships. While the original ZJan model parameters were kept fixed, a set of body composition-related parameters [Formula see text] were incorporated, where [Formula see text] and [Formula see text] were the ethnicity factors to the intercept and the linear coefficient, respectively, and [Formula see text] a non-linear exponent. The model was then applied to data arising from a south Indian population and the [Formula see text] parameters were estimated by standard non-linear regression. The data were generated from a reference model for FFM for the Indian population, which was known to provide unbiased estimates for this population.

RESULTS:

The parameter estimates (%RSE) of the final FFMExt,Ind model were [Formula see text] (fixed), [Formula see text] (3.2%) for male patients, 0.70 (3.3%) for female patients, and [Formula see text] (12.4%). The final model predictions were in good agreement with the reference model predictions.

CONCLUSIONS:

An FFMExt model has been achieved by extending the original FFMJan model assumptions to account for inter-ethnic differences in body composition. The extended model can be applied to any ethnic population by estimating a set of body composition-related parameters [Formula see text]. This can be performed using bioimpedance data without the need for formal FFM measurements.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Etnicidade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Etnicidade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article