Header image

SYMPOSIUM 13: Improving dosing for renally eliminated medicines

Tracks
Track 1
Tuesday, September 23, 2025
3:30 PM - 5:00 PM
Grand Copthorne Waterfront Hotel - Grand Ballroom I

Details

Renal elimination is a major pathway for drug clearance across many medication classes, including antibiotics. Failing to adequately predict differences in renal function can lead to suboptimal concentrations and therapy failure, or toxicity. Immaturity of organs in neonates and babies, renal dysfunction and dialysis procedures can have significant impacts on drug clearance and therefore on dose. Models that can account for these factors can be used to improve dosing for the individual. This symposium explores methods of predicting renal function for improved dosing, with a focus on antibiotics.


Speaker

Agenda Item Image
Dr Conor O'Hanlon
University of Auckland & F. Hoffmann-La Roche AG

How to predict renal function from premature neonates to adults

Abstract

Quantifying the effect of kidney disease on glomerular filtration rate (GFR) is important when describing variability in the clearance of drugs eliminated by the kidney. We developed a continuous model for renal function (RF) from prematurity to adulthood based on consistent models for fat-free mass (FFM), creatinine production rate (CPR), and GFR. A model for fractional FFM in premature neonates to adults was developed using pooled data from 4462 subjects and 2847 FFM observations. Girls were found to have an FFM higher than that predicted from adult women based on height, total body mass, and sex. Boys have an FFM lower than adult men until around the onset of puberty, when it approaches adult male values. Data from 108 subjects with measurements of GFR and serum creatinine (Scr) were used to construct a model for CPR, predicted using FFM, postmenstrual age, and sex. Individual CPR may then be used with individual Scr to predict the estimated GFR (eGFR; eGFR = CPR/Scr). A previously published model for human GFR based on 1153 GFR observations in 923 subjects without known kidney disease was updated using the model for fractional FFM to predict individual size and age-consistent values for the expected normal GFR (nGFR). Individual renal function was then calculated using RF = eGFR/nGFR.

Biography

Conor completed his PhD in pharmacometrics and clinical pharmacology at the University of Auckland, New Zealand. He investigated the impact of renal function on drug pharmacokinetics and pharmacodynamics (PKPD), with a focus on paediatric populations and cardiopulmonary bypass. He is currently a Postdoctoral Scientist at F. Hoffmann-La Roche in Basel, Switzerland, working on development of PKPD informed machine learning models.
Agenda Item Image
Prof Nick Holford
University Of Auckland

A physiological approach to renal clearance informed by renal function

Abstract

Background: By analogy with hepatic clearance, glomerular filtration rate (GFR) provides an upper limit for the filtration component of renal clearance.
Aims: To describe how GFR and renal function (RF) provide a physiological basis to distinguish clearance constrained by GFR and a component, not associated with GFR, also linked to RF.
Methods: Methods for estimation of normal GFR (nGFR) RF have been described (1). A population pharmacokinetic analysis was used to quantitate components of plasma clearance as a function of RF (2).
Equation 1: CLGFRplasma=fu×nGFR×asymmetrical sigmoid function(RF)
Equation 2: CLNGFRplasma=POP_CLNGFR×RF
Results: Plasma GFR clearance was described by the unbound fraction (fu), nGFR and an asymmetrical sigmoid function of RF (Equation 1). Plasma non-GFR clearance based on a population estimate (POPCLNGFR) used a linear function of RF (Equation 2).
Conclusions: The unbound fraction in plasma is an important determinant of plasma clearance based on nGFR. The use of nGFR as the physiological determinant of filtration.

Biography

Professor Holford obtained his medical qualifications (MBChB, MRCP) in the United Kingdom. In 1983 he moved to Auckland, New Zealand to join the University of Auckland in the Dept of Pharmacology & Clinical Pharmacology. Until 1989 he had a part time appointment as a Specialist in Internal Medicine at Auckland Hospital. During this period he was elected Fellow of the Royal Australasian College of Physicians. He retired from the University of Auckland as Professor Emeritus of Clinical Pharmacology at the end of 2021. His interests are in applying pharmacokinetics and pharmacodynamics to clinical pharmacology and developing tools to aid dose individualization (www.nextdose.org). http://holford.fmhs.auckland.ac.nz/
Agenda Item Image
Dr Laila Nassar
Rambam Health Care Campus, Haifa

Pharmacokinetics during haemodialysis and haemodiafiltration, application to amikacin

Abstract

A single-center, prospective study in haemodialysis (HD) or haemodiafiltration (HDF) patients was used to describe amikacin pharmacokinetics. The theory describing dialyser blood clearance [1] was extended to HDF. Target exposures (area under the concentration time curve for 24 hours from the start of dialysis (AUC24h), peak (Cpeak) and trough concentrations (Ctrough), were used to evaluate alternative dosing designs. The current recommended dosing regimen (5 mg/kg 4 hours of dialysis) achieves neither the target AUC24h nor the target peak with either HD or HDF. For HD, increasing the dose to 17.5 mg/kg achieves AUC24h, Cpeak and Ctrough within the acceptable range. For HDF, 25 mg/kg achieves AUC24h and Ctrough but not Cpeak within the acceptable range, 30 mg/kg achieves Cpeak within the acceptable range but leads to higher Ctrough, which may be associated with toxicity [2]. The principles used to develop target exposure based dosing in patients on dialysis are not limited to amikacin but are generally applicable to other drugs. The consequences on dosing in HDF when compared with HD are better predicted by considering dialyser clearance rather than dialysis efficiency because of the additional effects of dialyser blood flow on elimination.

Biography

Dr. Laila Nassar is a clinical pharmacologist and pharmacometrician with extensive experience in clinical practice, research, and academic teaching. She holds a Doctor of Pharmacy degree from the Hebrew University of Jerusalem and recently completed her PhD in pharmacometrics at the Technion – Israel Institute of Technology in collaboration with the University of Auckland and under the supervision of Professor Nick Holford and Professor Daniel Kurnik. Her doctoral research focused on pharmacokinetic modeling to support target concentration intervention. Her symposium presentation, titled “Pharmacokinetics during haemodialysis and haemodiafiltration: application to amikacin”, highlights key findings from this work. Dr. Nassar currently holds a clinical and research position at Rambam Health Care Campus in Haifa. She has also taught pharmacokinetics and clinical pharmacology at several universities and has a strong background in hospital and community pharmacy practice.
Agenda Item Image
Dominika Fuhs
Monash University

Disposition of colistin in critically ill patients on sustained low-efficiency dialysis: a population pharmacokinetic study and Monte Carlo simulations

Abstract

Colistin (administered as the inactive prodrug colistin methanesulphonate [CMS]) is often used to treat infections in critically-ill patients undergoing sustained low-efficiency dialysis (SLED).
We aimed to develop a population pharmacokinetic (popPK) model for colistin in patients undergoing SLED, and evaluate the probabilities of antibacterial benefit and colistin nephrotoxicity for different dosing regimens via simulations.
A prospective popPK study included 13 critically-ill patients treated with CMS and receiving SLED (6-8h) for renal support. The PK of formed colistin was studied on both a nonSLED and a SLED day. Colistin plasma concentrations were analysed using the popPK approach. Monte Carlo simulations (MCS) for dosing regimen evaluation were performed.
A linear one-compartment PK disposition model best described the data. The total body clearance of colistin (excluding SLED clearance) was 1.69L (21%) [population mean (between subject variability)] with 42% interoccasion variability. Colistin clearance during the SLED period was estimated to be 3.49L (42%). We evaluated the probability of target attainment defined as percentage of patients achieving relevant average colistin plasma concentration (Cavg) targets: >80% for Cavg ≥2 mg/L, >90% for Cavg ≥1.5 mg/L and <30% for Cavg ≥4 mg/L for the first 24h of therapy initiation on a SLED or nonSLED day as well as maintenance therapy.
Colistin clearance was substantially higher during SLED; therefore, SLED should be accounted for in CMS dosing regimens. This analysis provides comprehensive information regarding the achievement of clinically desirable average plasma colistin concentrations (including evaluation of loading doses) for two dosing regimens and six different SLED administration scenarios.

Key words:
Population pharmacokinetic modelling, colistin, sustained low-efficiency dialysis

Biography

Dominika is a PhD candidate at the Monash Institute of Pharmaceutical Sciences, Monash University. Her PhD research focuses on the development of novel mechanism-based mathematical models as well as population pharmacokinetic models. She’s passionate about investigating ways to treat resistant bacterial “superbugs” by optimising dosing regimens of currently available antibiotics in the fight against antimicrobial resistance
Agenda Item Image
A/Prof Xiao Zhu
Associate Professor of Pharmacometrics
Fudan University

Model-informed precision dosing of anti-infective drugs in paediatrics

Abstract

Model-informed precision dosing (MIPD) has been a topic of growing interest in clinical pharmacology in recent years. However, there is still a significant challenge to make the MIPD results more readily accepted by physicians and to demonstrate its impact on clinical practice. During the upcoming presentation, Dr. Zhu will discuss his experience using MIPD to improve dosing for renally eliminated anti-infective drugs in pediatric patients. He will also share insights gained through years of collaboration with pediatricians and highlight the bridging role that clinical pharmacometricians play in implementing MIPD.

Biography

Dr. Zhu is an Associate Professor in Pharmacometrics at Fudan University since 2021. He obtained PhD from University of Otago in 2019 under the supervision of Prof. Stephen Duffull and worked as Postdoc Fellow during 2019-2020 under the sponsorship of Murdoch Children's Research Institute. His current research involves the development of pharmacological models, population analysis of pharmacokinetic (PK) and pharmacodynamic (PD) data, and the optimal design of clinical studies. He has successfully applied pharmacometrics techniques in a range of therapeutic areas, primarily for oncology, bacterial infections, and neuroscience. His research facilitates the model-informed precision dosing (MIPD) for special populations (e.g., pediatrics and critically ill patients), as well as model-informed drug development (MIDD) through close collaborations with local biotech companies. He was awarded the ASCEPT Fred Fastier Prize and selected for the Shanghai Overseas Talent Program, and has published over 30 SCI papers as the first or corresponding author in leading journals such as Lancet Reg Health West Pac, Br J Pharmacol, J Antimicrob Chemother, and Antimicrob Agents Chemother.

Session chair

Agenda Item Image
Shaun Kumar
Associate Director
Parexel International

Agenda Item Image
Austin Tan
National University of Singapore

loading