2023
DOI: 10.1111/bcp.15756
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Using seconds‐resolved pharmacokinetic datasets to assess pharmacokinetic models encompassing time‐varying physiology

Abstract: AimPharmacokinetics have historically been assessed using drug concentration data obtained via blood draws and bench‐top analysis. The cumbersome nature of these typically constrains studies to at most a dozen concentration measurements per dosing event. This, in turn, limits our statistical power in the detection of hours‐scale, time‐varying physiological processes. Given the recent advent of in vivo electrochemical aptamer‐based (EAB) sensors, however, we can now obtain hundreds of concentration measurements… Show more

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“…Examples include the seconds-resolved measurement of plasma tobramycin, gentamycin, kanamycin, and vancomycin concentrations in situ in the veins [16,27,40,41] of live rats. Using such highly time-resolved data, time-varying changes in physiology (such as renal function) and their impact on the pharmacokinetics of antibiotics (many of which, for example, are renally cleared) can easily be seen [42]. More recently, several groups have demonstrated the real-time measurement of drug concentrations (vancomycin and tobramycin) in subcutaneous interstitial fluid [28,43], a sample matrix that can be accessed using minimally invasive microneedles.…”
Section: Continuous Real-time Measurementsmentioning
confidence: 99%
“…Examples include the seconds-resolved measurement of plasma tobramycin, gentamycin, kanamycin, and vancomycin concentrations in situ in the veins [16,27,40,41] of live rats. Using such highly time-resolved data, time-varying changes in physiology (such as renal function) and their impact on the pharmacokinetics of antibiotics (many of which, for example, are renally cleared) can easily be seen [42]. More recently, several groups have demonstrated the real-time measurement of drug concentrations (vancomycin and tobramycin) in subcutaneous interstitial fluid [28,43], a sample matrix that can be accessed using minimally invasive microneedles.…”
Section: Continuous Real-time Measurementsmentioning
confidence: 99%