Jean‐Marc Treluyer

About 15% to 28% of patients treated with thiopurines experienced adverse drug reactions, such as haematological and hepatic toxicities. Some of these related to the polymorphic activity of the thiopurine S‐methyltransferase (TPMT), the key detoxifying enzyme of thiopurine metabolism. We report here a case of thiopurine‐induced ductopenia with a comprehensive pharmacological analysis on thiopurine metabolism. A 34‐year‐old woman, with a medical history of severe systemic lupus erythematosus with recent introduction of azathioprine therapy, presented with mild fluctuating transaminase blood levels consistent with a hepatocellular pattern, which evolved to a cholestatic pattern over the next weeks. A blood thiopurine metabolite assay revealed low 6‐thioguanine nucleotides (6‐TGN) level and a dramatically increased 6‐methylmercaptopurine ribonucleotides (6‐MMPN) level, together with an unfavourable [6‐MMPN:6‐TGN] metabolite ratio and a high TPMT activity. After a total of about 6 months of thiopurine therapy, a transjugular liver biopsy revealed a ductopenia, and azathioprine discontinuation led to further clinical improvement. In line with previous reports from the literature, our case supports the fact that ductopenia is a rare adverse drug reaction of azathioprine. The mechanism of reaction is unknown but may involve high 6‐MMPN blood level, due to unusual thiopurine metabolism (switched metabolism). Early therapeutic drug monitoring with measurement of 6‐TGN and 6‐MMPN blood levels may help physicians to identify patients at risk of similar duct injury.

The population pharmacokinetics of amiodarone and its active metabolite, N‐desethylamiodarone (DEA) were investigated in paediatric patients with arrhythmias, mainly supraventricular tachycardias. A total of 55 patients from the Department of Pediatric Intensive Care and Pediatric Cardiology at Necker‐Enfants malades Hospital (Paris, France) provided 72 concentrations for both amiodarone and DEA following repeated oral or intravenous administration. Blood samples drawn for biological analyses were used for drug concentrations. Plasma amiodarone concentrations were measured by a liquid chromatography method coupled with mass spectrometry and the data were modelled using the software Monolix 2019R2. Parent pharmacokinetics was described with a 2‐compartment open model and the metabolite formation was connected to the central parent compartment. Parameter estimates scaled allometrically on bodyweight (normalized to 70 kg) were, respectively (% relative standard errors, RSEs), 6.32 (31%) and 7.14 L/h (26%) for elimination (CL) and intercompartmental clearances and 167 (31%) and 3930 (32%) L for V 1 and V 2 . Oral bioavailability was 0.362 (21.5%). The clearance between subject variability (ω, square root of the variance) was 0.462 (RSE 21%). The proportional residual variabilities were respectively 0.453 (RSE 13%) and 0.423 (RSE 12%) for amiodarone and DEA respectively. The terminal half‐lives were 34 and 14.5 days for amiodarone and DEA, respectively. A dosage schedule was established for 3 weight bands in 2 time periods. The high pharmacokinetic variability suggests that therapeutic drug monitoring might be useful to improve individual efficacy and safety.