An Extension of Janmahasatian’s Fat-Free Mass Model for Universal Application Across Populations of Different Ethnicities

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 (FFM Jan ) has...

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Bibliographic Details
Published in:Clinical pharmacokinetics 2020-09, Vol.59 (9), p.1161-1170
Main Authors: Sinha, Jaydeep, Al-Sallami, Hesham S., Duffull, Stephen B.
Format: Article
Language:English
Subjects:
Bias
Body composition
Body mass index
Clinical medicine
Confidence intervals
Drug dosages
Ethnicity
Internal Medicine
Medicine
Medicine & Public Health
Minority & ethnic groups
Original Research Article
Pharmacology/Toxicology
Pharmacotherapy
Population
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Summary: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 (FFM Jan ) 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 FFM Jan model (FFM Ext ) 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 (FFM Ext,Ind ). Methods The fundamental assumption of FFM Jan 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 Z Jan model parameters were kept fixed, a set of body composition-related parameters Ψ { ψ 1 , ψ 2 , ψ 3 } were incorporated, where ψ 1 and ψ 2 were the ethnicity factors to the intercept and the linear coefficient, respectively, and ψ 3 a non-linear exponent. The model was then applied to data arising from a south Indian population and the Ψ 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 FFM Ext,Ind model were ψ 1 = 0 (fixed), ψ 2 = 0.77 (3.2%) for male patients, 0.70 (3.3%) for female patients, and ψ 3 = 0.72 (12.4%). The final model predictions were in good agreement with the reference model predictions. Conclusions An FFM Ext model has been achieved by extending the original FFM Jan 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 Ψ . This can be performed using bioimpedance data without the need for formal FFM measurements.
ISSN:0312-5963
1179-1926
DOI:10.1007/s40262-020-00883-1