ArticleFrontiers in medicine2025
Empagliflozin in paediatric heart failure: model-based optimisation of a pharmacokinetic bridging study.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: Current therapy for paediatric heart failure is still unsatisfactory, and trials in this population have often failed. Here we apply a model-based approach to optimise the study design and increase the probability of success of a prospective trial aimed at establishing the dose rationale for empagliflozin in children with heart failure. The proposed prospective protocol is based on the assumption that the cardioprotective mechanisms and efficacy of SGLT-2 inhibitors in the paediatric population can be extrapolated from adults. Methods: A nonlinear mixed effects modelling approach incorporating prior information from pharmacokinetics (PK) in adults was used to extrapolate empagliflozin disposition parameters to children with ≥15 kg body weight. Protocol elements of interest were sampling schedule, dose, and sample size. These features were explored using an optimization algorithm ($DESIGN) and a simulation re-estimation procedure (SSE) in a large virtual paediatric cohort, overcoming some of the difficulties associated with low parameter precision in small populations. Results: A two-compartment pharmacokinetic model with sequential zero- and first-order absorption, absorption lag time and first-order elimination was identified. Clearance and distribution parameters were assumed to vary allometrically with body weight. We defined the lowest weight of 15 kg as inclusion criterion for the prospective trial, achieving, with the lowest commercially available tablet of 10 mg, a median AUC ratio of 1.03 (interquartile range 0.82-1.30) relative to the systemic exposure observed in a 50 kg adult receiving the 25 mg dose (median 7,163, IQR 6115-8,338 nmol*h/L). An optimised sampling scheme for a study with 12 patients was selected, which includes a sampling matrix with 4 different groups. Such a design enables the characterisation of empagliflozin exposure, along with exploratory safety and efficacy data collection in the population of interest. Conclusion: Repurposing of drugs for paediatric rare diseases is fraught with challenges. Our results indicate that a weight-banded regimen with commercially available tablets of 10 mg empagliflozin can be used in a prospective protocol including paediatric patients with body weight ≥15 kg. In addition, this study illustrates the importance of optimising evidence generation in paediatric clinical trials through model-based approaches, ensuring that available knowledge is used to maximise the information content and reduce patient burden.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.