Simultaneous quantification of 55 psychotropic drugs and metabolites in human plasma with a fast UPLC-MS/MS method.

OBJECTIVES: Therapeutic drug monitoring is strongly recommended for psychotropic drugs, which present a strong inter- and intra-individual variability due to multiple factors like inflammatory state, smoking, diet, drug interactions due to polypharmacy, and genetic profile. The aim of this study was to develop and validate a fast, simple, and sensitive method allowing the simultaneous quantification of a large number of psychotropic drugs. METHODS: After a simple sample preparation with a one-step protein precipitation, a total of 55 compounds, including 22 antidepressants, 18 antipsychotics, 2 other psychotropic drugs (bupropion and nefopam), and their metabolites, was separated on a Waters Acquity HSS T3 ultra-performance liquid chromatography column, and subsequently detected and quantified by a triple quadrupole Quantis mass spectrometer with electrospray ionization operated in positive mode. RESULTS: Total run time was only 5.7 min. Limits of detection ranged from 0.01 to 0.18 µg/L depending on compound. Measuring ranges were from 0.195 to 1000 µg/L depending on compound, and were defined according to therapeutic ranges. Inter- and intra-assay precisions values were less than 15 %. After validation, this method was successfully applied in daily practice for therapeutic drug monitoring of polymedicated psychiatric patients. CONCLUSION: We developed and validated one of the most sensitive and complete UPLC-MS/MS methods in psychopharmacology, allowing the simultaneous determination of 55 psychotropic drugs in only 5.7 min after a simple sample preparation. This method has been successfully used in daily practice for therapeutic drug monitoring of psychiatric patients and is especially useful in polymedicated patients.

Statins and immune-mediated necrotizing myopathy: Variability in the risk.

INTRODUCTION: Immune-mediated necrotizing myopathy (IMNM) is a form of statin myopathy characterized by the presence of antibodies against 3-hydroxy-3-methylglutaryl-coenzyme A reductase (anti HMGCR). OBJECTIVES: The aim of this study was to investigate the relationship between the different statins and the risk of IMNM. METHODS: A two-time approach was used. First, we performed a descriptive analysis of the French national pharmacovigilance database (FNPV) for the period from 1985 to december2020. To identify relevant cases, we used Medical Dictionary for Regulatory Activities (MedDRA) preferred terms (PTs) related to IMNM. We performed a quantitative and qualitative review of individual case safety reports (ICSRs) recorded in the french vigilance spontaneous reporting system. In a second time, we performed a comparative analysis with the World Health Organization global individual case safety reports database (Vigibase). The association between IMNM and statins exposure was assessed by calculating the reporting odds ratio (ROR) and its 95% confidence interval. RESULTS: After analysis, a total of 25 ICSRs were related to IMNM in the FNPV. The suspected statins were atorvastatin (n=21), simvastatin (n=2), pravastatin (n=1) and rosuvastatin (n=1). In Vigibase, 567 notifications were identified. A significant ROR value was found for atorvastatin, pitavastatin, simvastatin, pravastatin and rosuvastatin. CONCLUSION: Atorvastatin presents the highest risk of IMNM. Our data suggest that the occurrence of IMNM is a class effect.

Association Between Clozapine Plasma Concentrations and Treatment Response: A Systematic Review, Meta-analysis and Individual Participant Data Meta-analysis.

BACKGROUND AND OBJECTIVES: Although therapeutic drug monitoring of clozapine is recommended, its optimisation is often adjusted only on the basis of dosage. The aim of this study was to assess the link between clozapine plasma concentrations and clinical response by a meta-analysis of published studies and by an individual participant data meta-analysis. METHODS: We conducted a computerised search of bibliographic databases (EMBASE, PubMed, Clinical Trials, and Web of Science) to identify studies that assessed the relationship between clozapine serum or plasma concentrations and clinical efficacy. Using pooled data, we investigated the association between improvement of clinical outcome and clozapine or norclozapine plasma concentrations, the sum of clozapine and norclozapine plasma concentrations, and the coefficient of variation of clozapine plasma concentrations. Using available individual data, we assessed the relationship between clozapine plasma concentrations and clinical response (changes in the Brief Psychiatric Rating Scale score) and identified a threshold level for a favourable clinical response. RESULTS: Fifteen studies satisfied inclusion criteria. Our meta-analysis showed that responders had clozapine plasma concentrations that were, on average, 117 ng/mL higher than non-responders. The patients with plasma clozapine concentrations above the thresholds identified in each study had a higher likelihood of responding (odds ratio = 2.94, p < 0.001). Norclozapine plasma concentrations were not associated with a clinical response. The meta-analysis of individual data supported this result and confirmed the link between clozapine concentrations and a change in the Brief Psychiatric Rating Scale score and/or the probability of clinical response. Finally, with the analysis of the coefficient of variation of clozapine plasma concentrations, we found that a greater inter-individual fluctuation in plasma concentrations was associated with a loss of clinical response. CONCLUSIONS: Our work confirmed that, in contrast to clozapine doses, clozapine plasma concentrations were related to a favourable clinical response, with a mean difference between responders and non-responders of 117 ng/mL. A threshold for a treatment response of 407 ng/mL was determined, with a high discriminatory capacity, and a sensitivity and specificity of 71% and 89.1%, respectively.