Optimalisation of the Treatment of Acute Neonatal Hyperammonaemia
Recruiting now
Conditions studied: Hyperammonemic Encephalopathy
In brief
Acute neonatal hyperammonemia is associated with poor neurological outcomes and high mortality. A user-friendly and widely applicable algorithm - based on kinetics - to tailor the treatment of acute neonatal hyperammonemia. A single compartmental model was calibrated assuming a distribution volume equal to the patient's total body water (V), as calculated using Wells' formula, and dialyzer clearance as derived from the measured ammonia time-concentration curves during 11 dialysis sessions in four patients (3.2 +/- 0.4 kg). Based on these kinetic simulations, dialysis protocols could be derived for clinical use with different body weights, start concentrations, dialysis machines/dialyzers and dialysis settings (e.g., blood flow QB). By a single measurement of ammonia concentration at the dialyzer inlet and outlet, dialyzer clearance (K) can be calculated as K = QB\[(Cinlet - Coutlet)/Cinlet\]. The time (T) needed to decrease the ammonia concentration from a predialysis start concentration Cstart to a desired target concentration Ctarget is then equal to T = (-V/K)LN(Ctarget/Cstart). By implementing these formulae in a simple spreadsheet, medical staff can draw an institution-specific flowchart for patient-tailored treatment of hyperammonemia. The aim of this study is to validate these formula with a prospective study.
Key facts
- Study ID
- NCT05754372
- Run by
- University Hospital, Ghent
- People needed
- 10
- Starts
- 2023-01-15
- Expected to finish
- 2026-12-31
- Last updated by the study team
- 2024-04-15
Who can join
Age: any, up to 1. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- severe acute neonatal hyperammonaemia for which acute hemodialysis is indicated
- inborn error of metabolism
- below 1 year of age
You may not qualify if…
- older than 1 year
Where it is running
- Ghent University Hospital - Department of Paediatric Nephrology — Ghent, Belgium (enrolling)
Full record on ClinicalTrials.gov
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