British journal of clinical pharmacology · 2025
Paracetamol and its metabolites in children and adults with spinal muscular atrophy - a population pharmacokinetic model.
СтатьяНазвание и аннотация: Перевод в очереди
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Zhao Qiaolin, Naume Marie Mostue, de Winter Brenda C M, Krag Thomas, Haslund-Krog Sissel Sundell, Revsbech Karoline Lolk, Vissing John, Holst Helle, Møller Morten Hylander, Hornsyld Tessa Munkeboe, Dunø Morten, Hoei-Hansen Christina Engel, Born Alfred Peter, Jensen Per Bo, Ørngreen Mette Cathrine
Аннотация
AIMS: The aim of the study was to investigate whether differences in paracetamol pharmacokinetics (PK) between spinal muscular atrophy (SMA) patients and healthy controls (HC) could be attributed to specific clinical covariates.
METHODS: Nonlinear mixed-effects modelling (NONMEM 7.4) was used to develop a population PK model, explore covariates for paracetamol and its metabolites and perform simulations.
RESULTS: With body weight as allometric scaling in the model, SMA disease resulted in a 58% (95% confidence interval [CI]: 20%-130%) increase in the volume of distribution for paracetamol and its metabolites compared to healthy controls. Decreased plasma myoglobin and plasma bilirubin concentrations, seen in SMA patients, resulted in a higher paracetamol leftover clearance (SMA, median: 13.30 L/h/70 kg, 95% CI: 9.14-18.29%; HC, median: 4.05 L/h/70 kg, 95% CI: 3.38-8.83%) and a shift from slower sulfate formation clearance (SMA, median: 8.78 L/h/70 kg, 95% CI: 7.22-9.61%; HC, median: 9.30 L/h/70 kg, 95% CI: 8.42-10.15%) and faster oxidative metabolites elimination clearance (SMA, median: 3.74 L/h/70 kg, 95% CI: 3.31-4.72%; HC, median: 3.25 L/h/70 kg, 95% CI: 2.87-3.92%). Simulations revealed that in SMA patients, higher bodyweight was associated with increased exposure to paracetamol and its metabolites.
CONCLUSIONS: The differences in PK between SMA patients and healthy controls could be explained by body weight and the disease itself. SMA patients should be dosed cautiously, ensuring doses do not exceed the recommended body weight adjusted limit.
METHODS: Nonlinear mixed-effects modelling (NONMEM 7.4) was used to develop a population PK model, explore covariates for paracetamol and its metabolites and perform simulations.
RESULTS: With body weight as allometric scaling in the model, SMA disease resulted in a 58% (95% confidence interval [CI]: 20%-130%) increase in the volume of distribution for paracetamol and its metabolites compared to healthy controls. Decreased plasma myoglobin and plasma bilirubin concentrations, seen in SMA patients, resulted in a higher paracetamol leftover clearance (SMA, median: 13.30 L/h/70 kg, 95% CI: 9.14-18.29%; HC, median: 4.05 L/h/70 kg, 95% CI: 3.38-8.83%) and a shift from slower sulfate formation clearance (SMA, median: 8.78 L/h/70 kg, 95% CI: 7.22-9.61%; HC, median: 9.30 L/h/70 kg, 95% CI: 8.42-10.15%) and faster oxidative metabolites elimination clearance (SMA, median: 3.74 L/h/70 kg, 95% CI: 3.31-4.72%; HC, median: 3.25 L/h/70 kg, 95% CI: 2.87-3.92%). Simulations revealed that in SMA patients, higher bodyweight was associated with increased exposure to paracetamol and its metabolites.
CONCLUSIONS: The differences in PK between SMA patients and healthy controls could be explained by body weight and the disease itself. SMA patients should be dosed cautiously, ensuring doses do not exceed the recommended body weight adjusted limit.