@misc{GrisicHuisingaReinischetal.2017, author = {Grisic, Ana-Marija and Huisinga, Wilhelm and Reinisch, W. and Kloft, Charlotte}, title = {P485 Dosing infliximab in Crohn's disease}, series = {Journal of Crohn's and Colitis}, volume = {11}, journal = {Journal of Crohn's and Colitis}, number = {1}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {1873-9946}, doi = {10.1093/ecco-jcc/jjx002.609}, pages = {S325 -- S326}, year = {2017}, abstract = {Background: Infliximab (IFX), an anti-TNF monoclonal antibody approved for the treatment of inflammatory bowel disease, is dosed per kg body weight (BW). However, the rationale for body size adjustment has not been unequivocally demonstrated [1], and first attempts to improve IFX therapy have been undertaken [2]. The aim of our study was to assess the impact of different dosing strategies (i.e. body size-adjusted and fixed dosing) on drug exposure and pharmacokinetic (PK) target attainment. For this purpose, a comprehensive simulation study was performed, using patient characteristics (n=116) from an in-house clinical database. Methods: IFX concentration-time profiles of 1000 virtual, clinically representative patients were generated using a previously published PK model for IFX in patients with Crohn's disease [3]. For each patient 1000 profiles accounting for PK variability were considered. The IFX exposure during maintenance treatment after the following dosing strategies was compared: i) fixed dose, and per ii) BW, iii) lean BW (LBW), iv) body surface area (BSA), v) height (HT), vi) body mass index (BMI) and vii) fat-free mass (FFM)). For each dosing strategy the variability in maximum concentration Cmax, minimum concentration Cmin (= C8weeks) and area under the concentration-time curve (AUC), as well as percent of patients achieving the PK target, Cmin=3 μg/mL [4] were assessed. Results: For all dosing strategies the variability of Cmin (CV ≈110\%) was highest, compared to Cmax and AUC, and was of similar extent regardless of dosing strategy. The proportion of patients reaching the PK target (≈⅓ was approximately equal for all dosing strategies.}, language = {en} } @misc{KrauseKloftHuisingaetal.2019, author = {Krause, Andreas and Kloft, Charlotte and Huisinga, Wilhelm and Karlsson, Mats and Pinheiro, Jos{\´e} and Bies, Robert and Rogers, James and Mentr{\´e}, France and Musser, Bret J.}, title = {Comment on Jaki et al., A proposal for a new PhD level curriculum on quantitative methods for drug development}, series = {Pharmaceutical statistics : the journal of applied statistics in the pharmaceutical industry}, volume = {18}, journal = {Pharmaceutical statistics : the journal of applied statistics in the pharmaceutical industry}, number = {3}, publisher = {Wiley}, address = {Hoboken}, organization = {ASA Special Interest Grp Stat Phar ASA Special Interest Grp Stat Phar}, issn = {1539-1604}, pages = {278 -- 281}, year = {2019}, language = {en} } @misc{WichaKeesSolmsetal.2015, author = {Wicha, Sebastian G. and Kees, Martin G. and Solms, Alexander Maximilian and Minichmayr, Iris K. and Kratzer, Alexander and Kloft, Charlotte}, title = {TDMx: A novel web-based open-access support tool for optimising antimicrobial dosing regimens in clinical routine}, series = {International journal of antimicrobial agents}, volume = {45}, journal = {International journal of antimicrobial agents}, number = {4}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0924-8579}, doi = {10.1016/j.ijantimicag.2014.12.010}, pages = {442 -- 444}, year = {2015}, language = {en} }