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Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia
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 di...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309957/ https://www.ncbi.nlm.nih.gov/pubmed/34357956 http://dx.doi.org/10.3390/toxins13070484 |
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author | Eloot, Sunny De Rudder, Jonathan Verloo, Patrick Dhont, Evelyn Raes, Ann Van Biesen, Wim Snauwaert, Evelien |
author_facet | Eloot, Sunny De Rudder, Jonathan Verloo, Patrick Dhont, Evelyn Raes, Ann Van Biesen, Wim Snauwaert, Evelien |
author_sort | Eloot, Sunny |
collection | PubMed |
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)∙[(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)∙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. |
format | Online Article Text |
id | pubmed-8309957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83099572021-07-25 Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia Eloot, Sunny De Rudder, Jonathan Verloo, Patrick Dhont, Evelyn Raes, Ann Van Biesen, Wim Snauwaert, Evelien Toxins (Basel) Article 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)∙[(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)∙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. MDPI 2021-07-13 /pmc/articles/PMC8309957/ /pubmed/34357956 http://dx.doi.org/10.3390/toxins13070484 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Eloot, Sunny De Rudder, Jonathan Verloo, Patrick Dhont, Evelyn Raes, Ann Van Biesen, Wim Snauwaert, Evelien Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia |
title | Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia |
title_full | Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia |
title_fullStr | Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia |
title_full_unstemmed | Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia |
title_short | Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia |
title_sort | towards an algorithm-based tailored treatment of acute neonatal hyperammonemia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309957/ https://www.ncbi.nlm.nih.gov/pubmed/34357956 http://dx.doi.org/10.3390/toxins13070484 |
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