Detection of antihypertensive drugs in biological samples is an important tool to assess the adherence of hypertensive patients. Urine and serum/plasma screenings based on qualitative results may lead to misinterpretations regarding drugs with a prolonged detectability. The aim of the present study was to develop a method that can be used for therapeutic drug monitoring (TDM) of antihypertensive drugs with focus on adherence assessment. Therefore, a method for quantification of four diuretics and four β-blockers using high-performance liquid chromatography-mass spectrometric analysis (LC-MS/MS) of combined acidic and basic serum extracts was developed and validated. The method was applied to 40 serum samples from 20 patients in a supervised medication setting (trough and peak serum samples). Literature data on therapeutic concentration ranges, as well as dose-related drug concentrations (calculated from data of pharmacokinetic studies) were used to evaluate adherence assessment criteria. Concentrations were measured for bisoprolol (nâ=â9 patients), metoprolol (nâ=â7), nebivolol (nâ=â1), canrenone (nâ=â2, metabolite of spironolactone), hydrochlorothiazide (nâ=â10) and torasemide (nâ=â8). The measured concentrations were within the therapeutic reference ranges, except for 24% of the samples (mainly β-blockers). In contrast, all measured concentrations were above the lower dose-related concentration (DRC), which appears superior in evaluating adherence. In conclusion, the quantitative analysis of antihypertensive drugs in serum samples and its evaluation on the basis of the individually calculated lower DRC is a promising tool to differentially assess adherence. This method could possibly detect a lack of adherence or other causes of insufficient therapy more reliably than qualitative methods.
Evaluation of the dose-related concentration approach in therapeutic drug monitoring of diuretics and β-blockers - drug classes with low adherence in antihypertensive therapy.
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作者:Ritscher Sabrina, Hoyer Milena, Wunder Cora, Obermüller Nicholas, Toennes Stefan W
| 期刊: | Scientific Reports | 影响因子: | 3.900 |
| 时间: | 2019 | 起止号: | 2019 Oct 30; 9(1):15652 |
| doi: | 10.1038/s41598-019-52164-y | ||
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