FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048453738> ?p ?o ?g. }

• W3048453738 endingPage "e0237383" @default.
• W3048453738 startingPage "e0237383" @default.
• W3048453738 abstract "With obesity having doubled in the last decade, hypertension is on the rise. In one-third of hypertensive patients the metabolic syndrome is present. This might be one factor for the increasing number of prescriptions for angiotensin receptor blockers and calcium-channel blockers besides a more favorable risk-to-benefit ratio. The aim of the present study was to evaluate a therapeutic drug monitoring (TDM) method for assessment of adherence based on cut-offs in inpatients and to compare it to an established urine drug screening in outpatients. A method for quantification of calcium-channel blockers and angiotensin receptor blockers using high-performance liquid chromatography-tandem mass spectrometric analysis (LC-MS/MS) was developed and validated. The method was applied to serum samples of 32 patients under supervised medication to establish cut-off values for adherence assessment based on dose-related concentrations (DRC, calculated from pharmacokinetic data). Furthermore, corresponding urine and blood samples of 42 outpatients without supervised medication were analysed and the results compared with regard to adherence assessment. All serum concentrations measured for amlodipine (n = 40), lercanidipine (n = 14), candesartan (n = 10), telmisartan (n = 4) and valsartan (n = 10) in inpatients were above the patient specific lower DRC confirming adherence. Of 42 outpatients the identification of analytes in urine as well as the quantification in serum exhibited differing results. According to urinalysis, adherence was demonstrated in only 87.0% of prescriptions, compared to 91.3% for serum analyses. Differences were observed for amlodipine, lercanidipine and candesartan which can be explained by a higher specificity of the serum analysis approach due to pharmacokinetics. The present study confirms that assessing adherence based on serum drug concentrations with individually calculated lower DRCs is more accurate than using qualitative urine analysis. In particular, drugs with low bioavailability, low renal excretion or high metabolism rate such as lercanidipine and candesartan may lead to underestimation of adherence via urine analysis." @default.
• W3048453738 created "2020-08-18" @default.
• W3048453738 creator A5002675238 @default.
• W3048453738 creator A5002742635 @default.
• W3048453738 creator A5006073040 @default.
• W3048453738 creator A5042073924 @default.
• W3048453738 creator A5059608367 @default.
• W3048453738 creator A5077614344 @default.
• W3048453738 creator A5078532903 @default.
• W3048453738 creator A5090253811 @default.
• W3048453738 date "2020-08-10" @default.
• W3048453738 modified "2023-10-16" @default.
• W3048453738 title "Benefit of serum drug monitoring complementing urine analysis to assess adherence to antihypertensive drugs in first-line therapy" @default.
• W3048453738 cites W1509304131 @default.
• W3048453738 cites W1778745885 @default.
• W3048453738 cites W1845225129 @default.
• W3048453738 cites W1977388622 @default.
• W3048453738 cites W1977995694 @default.
• W3048453738 cites W1988560828 @default.
• W3048453738 cites W2001232193 @default.
• W3048453738 cites W2009828266 @default.
• W3048453738 cites W2015412346 @default.
• W3048453738 cites W2022256040 @default.
• W3048453738 cites W2028463402 @default.
• W3048453738 cites W2064823654 @default.
• W3048453738 cites W2074143887 @default.
• W3048453738 cites W2077886785 @default.
• W3048453738 cites W2084191761 @default.
• W3048453738 cites W2090314376 @default.
• W3048453738 cites W2114634962 @default.
• W3048453738 cites W2132835054 @default.
• W3048453738 cites W2136279368 @default.
• W3048453738 cites W2148178218 @default.
• W3048453738 cites W2148671901 @default.
• W3048453738 cites W2156249907 @default.
• W3048453738 cites W2159854507 @default.
• W3048453738 cites W2222461138 @default.
• W3048453738 cites W2273210549 @default.
• W3048453738 cites W2410518338 @default.
• W3048453738 cites W2435193784 @default.
• W3048453738 cites W2505074882 @default.
• W3048453738 cites W2753966476 @default.
• W3048453738 cites W2793435470 @default.
• W3048453738 cites W2794385615 @default.
• W3048453738 cites W2802043751 @default.
• W3048453738 cites W2894724600 @default.
• W3048453738 cites W2928291095 @default.
• W3048453738 cites W2982693705 @default.
• W3048453738 cites W4300889610 @default.
• W3048453738 doi "https://doi.org/10.1371/journal.pone.0237383" @default.
• W3048453738 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7416922" @default.
• W3048453738 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32776967" @default.
• W3048453738 hasPublicationYear "2020" @default.
• W3048453738 type Work @default.
• W3048453738 sameAs 3048453738 @default.
• W3048453738 citedByCount "12" @default.
• W3048453738 countsByYear W30484537382021 @default.
• W3048453738 countsByYear W30484537382022 @default.
• W3048453738 countsByYear W30484537382023 @default.
• W3048453738 crossrefType "journal-article" @default.
• W3048453738 hasAuthorship W3048453738A5002675238 @default.
• W3048453738 hasAuthorship W3048453738A5002742635 @default.
• W3048453738 hasAuthorship W3048453738A5006073040 @default.
• W3048453738 hasAuthorship W3048453738A5042073924 @default.
• W3048453738 hasAuthorship W3048453738A5059608367 @default.
• W3048453738 hasAuthorship W3048453738A5077614344 @default.
• W3048453738 hasAuthorship W3048453738A5078532903 @default.
• W3048453738 hasAuthorship W3048453738A5090253811 @default.
• W3048453738 hasBestOaLocation W30484537381 @default.
• W3048453738 hasConcept C112705442 @default.
• W3048453738 hasConcept C126322002 @default.
• W3048453738 hasConcept C2777387769 @default.
• W3048453738 hasConcept C2779283177 @default.
• W3048453738 hasConcept C2779646130 @default.
• W3048453738 hasConcept C2779716603 @default.
• W3048453738 hasConcept C2780026642 @default.
• W3048453738 hasConcept C2780035454 @default.
• W3048453738 hasConcept C2780036600 @default.
• W3048453738 hasConcept C2780192228 @default.
• W3048453738 hasConcept C2780272996 @default.
• W3048453738 hasConcept C2908929049 @default.
• W3048453738 hasConcept C71924100 @default.
• W3048453738 hasConcept C84393581 @default.
• W3048453738 hasConcept C98274493 @default.
• W3048453738 hasConceptScore W3048453738C112705442 @default.
• W3048453738 hasConceptScore W3048453738C126322002 @default.
• W3048453738 hasConceptScore W3048453738C2777387769 @default.
• W3048453738 hasConceptScore W3048453738C2779283177 @default.
• W3048453738 hasConceptScore W3048453738C2779646130 @default.
• W3048453738 hasConceptScore W3048453738C2779716603 @default.
• W3048453738 hasConceptScore W3048453738C2780026642 @default.
• W3048453738 hasConceptScore W3048453738C2780035454 @default.
• W3048453738 hasConceptScore W3048453738C2780036600 @default.
• W3048453738 hasConceptScore W3048453738C2780192228 @default.
• W3048453738 hasConceptScore W3048453738C2780272996 @default.
• W3048453738 hasConceptScore W3048453738C2908929049 @default.
• W3048453738 hasConceptScore W3048453738C71924100 @default.
• W3048453738 hasConceptScore W3048453738C84393581 @default.

• next