2004
DOI: 10.1002/bmc.384
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A validated HPLC assay to monitor riluzole plasma or serum concentrations in patients with amyotrophic lateral sclerosis

Abstract: A specific, accurate and precise high-performance liquid chromatographic assay was developed for the determination of riluzole, a drug used to treat patients with amyotrophic lateral sclerosis. Samples were treated by extraction with dichloromethane followed by reversed-phase chromatography with ultraviolet detection at 260 nm. Preset validation criteria were met from 20 to 2000 ng/mL with a linear response curve. Extraction recovery of riluzole was 65-76%. The accuracy of the method was 102-103%. Intra- and i… Show more

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Cited by 20 publications
(12 citation statements)
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“…21 Briefly, this assay has a between-run imprecision of 1.8-9.7%, and an accuracy of 102-103% within the quantification range of 20-2,000 ng/ml. In the week before blood sampling, all patients were asked to take riluzole at exactly 1000 and 2200 hours.…”
Section: Discussionmentioning
confidence: 99%
“…21 Briefly, this assay has a between-run imprecision of 1.8-9.7%, and an accuracy of 102-103% within the quantification range of 20-2,000 ng/ml. In the week before blood sampling, all patients were asked to take riluzole at exactly 1000 and 2200 hours.…”
Section: Discussionmentioning
confidence: 99%
“…54 With a standard drug regimen of 50 mg twice daily, riluzole serum concentrations are in the range of 20-250 ng/ml. 19 The plasma samples retaining clotting factors will have less variability than serum samples.…”
Section: Pharmacokinetic Evaluationmentioning
confidence: 99%
“…To estimate riluzole clearance, 2 h post dose and trough serum concentrations of riluzole were measured using a validated liquid chromatographic assay with ultraviolet detection in venous blood samples collected at weekly intervals (quantification range: 0.020–2.00 µg ml −1 ; between‐run coefficient of variation: 1.8–9.7%) [16]. From at least one 2 h and one trough concentration per patient, riluzole clearances were estimated using a Bayesian fitting procedure (Marquardt algorithm) performed with MW/Pharm v3.50 software (MediWare, Zuidlaren, the Netherlands) [17].…”
Section: Methodsmentioning
confidence: 99%