Literature DB >> 29330781

A Review of the Methods and Associated Mathematical Models Used in the Measurement of Fat-Free Mass.

Jaydeep Sinha1, Stephen B Duffull2, Hesham S Al-Sallami2.   

Abstract

Fat-free mass (FFM) represents the lean component of the body devoid of fat. It has been shown to be a useful predictor of drug dose requirements, particularly in obesity where the excess fat mass does not contribute to drug clearance. However, measuring FFM involves complex and/or expensive experimental methodologies that preclude their use in routine clinical practice. Thus, models to predict FFM from readily measurable variables, such as body weight and height, have been developed and are used in both population pharmacokinetic modelling and clinical practice. In this review, methods used to measure FFM are explained and compared in terms of their assumptions, precision, and limitations. These methods are broadly classified into six different principles: densitometry, hydrometry, bioimpedance, whole-body counting, dual energy X-ray absorptiometry, and medical imaging. They vary in their processes and key biological assumptions that are often not applicable in certain populations (e.g. children, elderly, and certain disease states). This review provides a summary of the various methods of FFM measurement and estimation, and links these methods to a scientific framework to help clinicians and researchers understand the usefulness and potential limitations of these methods.

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Year:  2018        PMID: 29330781     DOI: 10.1007/s40262-017-0622-5

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  56 in total

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  6 in total

Review 1.  Body composition and mortality in the general population: A review of epidemiologic studies.

Authors:  Dong Hoon Lee; Edward L Giovannucci
Journal:  Exp Biol Med (Maywood)       Date:  2018-12-11

2.  Official Position of the Brazilian Association of Bone Assessment and Metabolism (ABRASSO) on the evaluation of body composition by densitometry-part II (clinical aspects): interpretation, reporting, and special situations.

Authors:  Sergio Setsuo Maeda; Ben-Hur Albergaria; Vera Lúcia Szejnfeld; Marise Lazaretti-Castro; Henrique Pierotti Arantes; Marcela Ushida; Diogo Souza Domiciano; Rosa Maria Rodrigues Pereira; Rosângela Villa Marin-Mio; Mônica Longo de Oliveira; Laura Maria Carvalho de Mendonça; Mirley do Prado; Guilherme Cardenaz de Souza; Cecília Zanin Palchetti; Roseli Oselka Saccardo Sarni; Maria Teresa Terreri; Luiz Claudio Gonçalves de Castro; Silvana Martinez Baraldi Artoni; Lizandra Amoroso; Débora Emy Karcher; Carla M Prado; Maria Cristina Gonzalez; Marcelo de Medeiros Pinheiro
Journal:  Adv Rheumatol       Date:  2022-04-01

Review 3.  Characterizing Pharmacokinetics in Children With Obesity-Physiological, Drug, Patient, and Methodological Considerations.

Authors:  Jacqueline G Gerhart; Stephen Balevic; Jaydeep Sinha; Eliana M Perrin; Jian Wang; Andrea N Edginton; Daniel Gonzalez
Journal:  Front Pharmacol       Date:  2022-03-10       Impact factor: 5.810

4.  Rapid Standardized CT-Based Method to Determine Lean Body Mass SUV for PET-A Significant Improvement Over Prediction Equations.

Authors:  Terence A Riauka; Vickie E Baracos; Rebecca Reif; Freimut D Juengling; Don M Robinson; Marguerite Wieler; Alexander J B McEwan
Journal:  Front Oncol       Date:  2022-07-07       Impact factor: 5.738

5.  Worse capecitabine treatment outcome in patients with a low skeletal muscle mass is not explained by altered pharmacokinetics.

Authors:  Laura Molenaar-Kuijsten; Bart Albertus Wilhelmus Jacobs; Sophie Alberdine Kurk; Anne Maria May; Thomas Petrus Catharina Dorlo; Jacob Hendrik Beijnen; Neeltje Steeghs; Alwin Dagmar Redmar Huitema
Journal:  Cancer Med       Date:  2021-06-14       Impact factor: 4.452

6.  Estimation of Body Fat Percentage for Clinical Pharmacokinetic Studies in Children.

Authors:  Thomas P Green; Helen J Binns; Huali Wu; Adolfo J Ariza; Eliana M Perrin; Maheen Quadri; Christoph P Hornik; Michael Cohen-Wolkowiez
Journal:  Clin Transl Sci       Date:  2020-11-22       Impact factor: 4.438

  6 in total

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