Towards an Algorithm-Based Tailored Treatment of Acute Neonatal Hyperammonemia

基于算法的新生儿急性高氨血症个体化治疗方案研究进展

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Abstract

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.

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