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OBJECTIVES: The product information and literature does not provide confirmation of compatibility for co-administration of all commonly used drug pairs in obstetrics. However, there is a need for co-administration of these drugs over one lumen for this group of patients. Therefore, this study focuses on Y-site compatibility. Since different conditions between clinical and laboratory settings can lead to discrepancies in results, a novel approach for drug intravenous compatibility testing was designed to reflect clinical conditions. The aim was to study the compatibility of nine commonly used drug pairs in obstetrics and to evaluate the clinical value of the designed method. METHODS: The clinical situation was reflected by using different temperature ranges (20°C and 37°C), actual Y-site flow ratios, clinically relevant drug pairs and an observation time of 120 min. The clinically relevant drugs pairs include atosiban, nicardipine, amoxicillin/clavulanic acid, oxytocin, remifentanil, labetalol and magnesium sulpfate. Drug pairs were visually assessed according to the European Pharmacopoeia (Ph. Eur.) and pH was measured. When incompatibility of a drug pair seemed likely based on literature review or observed abnormalities during visual assessment, subvisual analysis was performed using a particle counter. Y-site compatibility applied for drug pairs when no visual changes occurred or when no additional particles were formed during the observation time. RESULTS: Eight of the nine combinations showed no visual changes or noticeable changes in pH during the observation time. The amoxicillin/clavulanic-acid-oxytocin combination showed a colour change at 37°C at the actual Y-site flow ratio. However, subvisual particle counting showed no formation of additional particles. CONCLUSIONS: Y-site compatibility was established for all tested drug pairs. The new clinical approach for analysing Y-site compatibility provides a high certainty of outcomes for clinical practice. In this way, clinical complications and use of several additional intravenous catheters can be avoided.
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INTRODUCTION: Epidermal growth factor receptor (EGFR) mutated NSCLC is best treated using an EGFR tyrosine kinase inhibitor (TKI). The presence and accessibility of EGFR overexpression and mutation in NSCLC can be determined using radiolabeled EGFR TKI PET/CT. However, recent research has shown a significant difference between image qualities (i.e., tumor-to-lung contrast) in three generation EGFR TKIs: 11C-erlotinib, 18F-afatinib and 11C-osimertinib. In this research we aim to develop a physiological pharmacokinetic (PBPK)-model to predict tumor-to-lung contrast and as a secondary outcome the uptake of healthy tissue of the three tracers. METHODS: Relevant physicochemical and drug specific properties (e.g., pKa, lipophilicity, target binding) for each TKI were collected and applied in established base PBPK models. Key hallmarks of NSCLC include: immune tumor deprivation, unaltered tumor perfusion and an acidic tumor environment. Model accuracy was demonstrated by calculating the prediction error (PE) between predicted tissue-to-blood ratios (TBR) and measured PET-image-derived TBR. Sensitivity analysis was performed by excluding each key component and comparing the PE with the final mechanistical PBPK model predictions. RESULTS: The developed PBPK models were able to predict tumor-to-lung contrast for all EGFR-TKIs within threefold of observed PET image ratios (PE tumor-to-lung ratio of -90%, +44% and -6.3% for erlotinib, afatinib and osimertinib, respectively). Furthermore, the models depicted agreeable whole-body distribution, showing high tissue distribution for osimertinib and afatinib and low tissue distribution at high blood concentrations for erlotinib (mean PE, of -10.5%, range -158%-+190%, for all tissues). CONCLUSION: The developed PBPK models adequately predicted the image quality of afatinib and osimertinib and erlotinib. Some deviations in predicted whole-body TBR lead to new hypotheses, such as increased affinity for mutated EGFR and active influx transport (erlotinib into excreting tissues) or active efflux (afatinib from brain), which is currently unaccounted for. In the future, PBPK models may be used to predict the image quality of new tracers.
