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https://www.selleckchem.com/products/kya1797k.html Drug exposure increases when the estimated glomerular filtration rate declines but without a clear-cut relationship with the severity of chronic kidney disease and in a rather moderate amplitude that most often does not require a dose reduction in the presence of mild-to-moderate chronic kidney disease. The urinary glucose excretion steadily declines with the reduction in estimated glomerular filtration rate. This may explain a lower effect on glucose control, yet the positive effects on body weight and blood pressure still remain. The efficacy and safety of these SGLT2is are analysed among patients with stages 3a and 3b chronic kidney disease in placebo-controlled randomised clinical trials, with almost similar results in Asian and non-Asian individuals with T2DM. In summary, there is no reason not to prescribe SGLT2is in patients with T2DM with mild-to-moderate chronic kidney disease, especially if the aim is to benefit from cardiovascular and/or renal protection.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

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