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Towards an algorithm-based tailored treatment of acute neonatal hyperammonemia

Title: Towards an algorithm-based tailored treatment of acute neonatal hyperammonemia
Authors: Eloot, Sunny; De Rudder, Jonathan; VERLOO, PATRICK; Dhont, Evelyn; Raes, Ann; Van Biesen, Wim; Snauwaert, Evelien
Source: TOXINS ; ISSN: 2072-6651
Publication Year: 2021
Collection: Ghent University Academic Bibliography
Subject Terms: Medicine and Health Sciences; Toxicology; Health; Toxicology and Mutagenesis; hyperammonemia; inborn errors of metabolism; hemodialysis; infant; RENAL REPLACEMENT THERAPY; UREA CYCLE DISORDERS; INBORN-ERRORS; MANAGEMENT; SURVIVAL; MACHINE; INFANTS
Description: Acute neonatal hyperammonemia is associated with poor neurological outcomes and high mortality. We developed, based on kinetic modeling, a user-friendly and widely applicable algorithm 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 Q(B)). By a single measurement of ammonia concentration at the dialyzer inlet and outlet, dialyzer clearance (K) can be calculated as K = Q(B)center dot[(C-inlet - C-outlet)/C-inlet]. The time (T) needed to decrease the ammonia concentration from a predialysis start concentration C-start to a desired target concentration C-target is then equal to T = (-V/K)center dot LN(C-target/C-start). By implementing these formulae in a simple spreadsheet, medical staff can draw an institution-specific flowchart for patient-tailored treatment of hyperammonemia.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://biblio.ugent.be/publication/8717150; https://doi.org/10.3390/toxins13070484; https://biblio.ugent.be/publication/8717150/file/8717154
DOI: 10.3390/toxins13070484
Availability: https://biblio.ugent.be/publication/8717150; https://hdl.handle.net/1854/LU-8717150; https://doi.org/10.3390/toxins13070484; https://biblio.ugent.be/publication/8717150/file/8717154
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.A28EA184
Database: BASE