Validation of a novel direct method to determine reduced adherence to atorvastatin therapy.

LC-MS/MS adherence atorvastatin liquid chromatography-tandem mass spectrometry low-density lipoprotein-cholesterol

Journal

European heart journal. Cardiovascular pharmacotherapy
ISSN: 2055-6845
Titre abrégé: Eur Heart J Cardiovasc Pharmacother
Pays: England
ID NLM: 101669491

Informations de publication

Date de publication:
09 Jan 2024
Historique:
medline: 10 1 2024
pubmed: 10 1 2024
entrez: 10 1 2024
Statut: aheadofprint

Résumé

Objective methods to determine statin adherence are requested to improve lipid management. We have recently established a method to detect reduced adherence to atorvastatin therapy with cut-off values based on the sum of atorvastatin and its major metabolites in blood. We aimed to validate this method in patients with and without cardiovascular disease, and optimize previous cut-off values. The pharmacokinetic study included 60 participants treated with atorvastatin 20 mg (N=20), 40 mg (N=20), and 80 mg (N=20). Atorvastatin was then stopped and blood samples collected from day zero to day four. Quantification of the parent drug and its metabolites in blood plasma was performed with a liquid chromatography-tandem mass spectrometry assay. The cut-off values for reduced adherence were validated and optimized by calculating diagnostic sensitivity and specificity. Our candidate cut-off value of dose-normalized six-component sum of atorvastatin plus metabolites <0.10 nM/mg provided a sensitivity of 97% and a specificity of 93% for detecting ≥2 omitted doses. An optimized cut-off <0.062 nM/mg provided a sensitivity of 90% and a specificity of 100%. An alternative simplified two-component metabolite sum with cut-off value <0.05 nM/mg provided a sensitivity of 98% and a specificity of 76%. An optimized cut-off <0.02 nM/mg provided a sensitivity of 97% and a specificity of 98%. This validation study confirms that our direct method discriminates reduced adherence from adherence to atorvastatin therapy with high diagnostic accuracy. The method may improve lipid management in clinical practice and serve as a useful tool in future studies.

Identifiants

pubmed: 38196131
pii: 7513761
doi: 10.1093/ehjcvp/pvae001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.

Auteurs

Jonas Pivoriunas (J)

Department of Medicine, Drammen Hospital, Vestre Viken Hospital Trust, Postboks 800, Drammen 3004, Norway.
Department of Behavioural Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Domus Medica, Sognsvannsveien 9, Oslo 0372, Norway.

Nils Tore Vethe (NT)

Department of Pharmacology, Oslo University Hospital, Sognsvannsveien 20, Oslo 0372, Norway.

Einar Husebye (E)

Department of Medicine, Drammen Hospital, Vestre Viken Hospital Trust, Postboks 800, Drammen 3004, Norway.

Morten W Fagerland (MW)

Oslo Centre for Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Domus Medica, Gaustad, Sognsvannsveien 9, Oslo 0372, Norway.

Stein Bergan (S)

Department of Pharmacology, Oslo University Hospital, Sognsvannsveien 20, Oslo 0372, Norway.

Oscar Kristiansen (O)

Department of Medicine, Drammen Hospital, Vestre Viken Hospital Trust, Postboks 800, Drammen 3004, Norway.

John Munkhaugen Prof (JM)

Department of Medicine, Drammen Hospital, Vestre Viken Hospital Trust, Postboks 800, Drammen 3004, Norway.
Department of Behavioural Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Domus Medica, Sognsvannsveien 9, Oslo 0372, Norway.

Elise Sverre (E)

Department of Medicine, Drammen Hospital, Vestre Viken Hospital Trust, Postboks 800, Drammen 3004, Norway.
Oslo University Hospital, Ullevål Hospital, Kirkeveien 166, Oslo 0450, Norway.

Classifications MeSH