Introduction: Janmahasatian’s [1] model for fat-free mass model (FFMJan) was developed based on a population that descended from European ancestry. There is some evidence that humans from different ethnic backgrounds may have different body composition based on standard phenotypic characteristics (e.g. sex, weight and height) and hence the model may not predict well into these groups. In […]

Jaydeep Sinha
- PAGANZ Inc Society Member
- University of Otago
Author Archive | Jaydeep Sinha
Development of a model to predict lean liver volume (LLV) for use in scaling drug clearance
January 24, 2018
Authors Jaydeep Sinha (1), Stephen Duffull (1), Bruce Green (2), Hesham Al-Sallami (1)
Affiliations 1. Otago Pharmacometrics Group, School of Pharmacy, University of Otago, Dunedin, New Zealand, 2. Model Answers Pty Ltd, Brisbane, Australia
Presentation type Oral
Presenters Jaydeep Sinha
Introduction: Clearance (CL) is the most important parameter to describe the relationship between dose and exposure for drugs dosed chronically. CL, for hepatically-cleared drugs, is known to correlate with liver size [1]. Theoretically, lean liver volume (LLV), the liver volume that excludes all fat, represents the size of the metabolically active part and may scale […]
Influence of study design on choice of the allometric exponent
January 21, 2017
Authors Jaydeep Sinha, Hesham Al-Sallami and Stephen Duffull
Affiliations Otago Pharmacometrics Group, School of Pharmacy, University of Otago, Dunedin, New Zealand
Presentation type Oral
Presenters Jaydeep Sinha
Background: Identification of appropriate covariate(s) in population PK-PD modelling is a key requirement to account for between subject variability (BSV). Total body weight (WT) is often considered an important covariate for clearance (CL). Models that link CL to WT vary in the literature and typically include linear (exponent = 1) and nonlinear scaling (exponent = […]