Confirmation of Statin and Fibrate Use from Small-Volume Archived Plasma Samples by High-Throughput LC-MS/MS Method.
LC-MS/MS
cardiovascular disease
fibrates
human plasma
mass spectrometry
medical records
statins
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
27 Apr 2023
27 Apr 2023
Historique:
received:
27
03
2023
revised:
20
04
2023
accepted:
22
04
2023
medline:
15
5
2023
pubmed:
13
5
2023
entrez:
13
5
2023
Statut:
epublish
Résumé
Designing studies for lipid-metabolism-related biomarker discovery is challenging because of the high prevalence of various statin and fibrate usage for lipid-lowering therapies. When the statin and fibrate use is determined based on self-reports, patient adherence to the prescribed statin dose regimen remains unknown. A potentially more accurate way to verify a patient's medication adherence is by direct analytical measurements. Current analytical methods are prohibitive because of the limited panel of drugs per test and large sample volume requirement that is not available from archived samples. A 4-min-long method was developed for the detection of seven statins and three fibrates using 10 µL of plasma analyzed via reverse-phase liquid chromatography and tandem mass spectrometry. The method was applied to the analysis of 941 archived plasma samples collected from patients before cardiac catheterization. When statin use was self-reported, statins were detected in 78.6% of the samples. In the case of self-reported atorvastatin use, the agreement with detection was 90.2%. However, when no statin use was reported, 42.4% of the samples had detectable levels of statins, with a similar range of concentrations as the samples from the self-reported statin users. The method is highly applicable in population studies designed for biomarker discovery or diet and lifestyle intervention studies, where the accuracy of statin or fibrate use may strongly affect the statistical evaluation of the biomarker data.
Identifiants
pubmed: 37175638
pii: ijms24097931
doi: 10.3390/ijms24097931
pmc: PMC10178340
pii:
doi:
Substances chimiques
Hydroxymethylglutaryl-CoA Reductase Inhibitors
0
Fibric Acids
0
Atorvastatin
A0JWA85V8F
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Références
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