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1.
  • Selch Larsen, Malte, et al. (author)
  • Rotational thromboelastometry can predict the probability of bleeding events in a translational rat model of haemophilia A following gene-based FVIIa prophylaxis
  • 2020
  • In: Haemophilia. - : Wiley. - 1351-8216 .- 1365-2516. ; 26:1, s. 164-172
  • Journal article (peer-reviewed)abstract
    • INTRODUCTION: Monitoring of clinical effectiveness of bypassing agents in haemophilia patients is hampered by the lack of validated laboratory assays. Thromboelastography (TEG) and rotational thromboelastometry (ROTEM) have been evaluated for predicting clinical effectiveness of bypassing agents, however, with limited success.AIM: Application of a longitudinal model-based approach may allow for a quantitative characterization of the link between ROTEM parameters and the probability of bleeding events.METHODS: We analyse longitudinal data from haemophilia A rats receiving gene-based FVIIa prophylaxis in terms of total circulatory levels of FVII/FVIIa, clotting time (CT) measured using ROTEM and the probability of bleeding events.RESULTS: Using population pharmacokinetic-pharmacodynamic (PKPD) modelling, a PK-CT-repeated time-to-event (RTTE) model was developed composed of three submodels (a) a FVII/FVIIa PK model, (b) a PK-CT model describing the relationship between predicted FVIIa expression and CT and (c) a RTTE model describing the probability of bleeding events as a function of CT. The developed PK-CT-RTTE model accurately described the vector dose-dependent plasma concentration-time profile of total FVII/FVIIa and the exposure-response relationship between AAV-derived FVIIa expression and CT. Importantly, the developed model accurately described the occurrence of bleeding events over time in a quantitative manner, revealing a linear relationship between predicted change from baseline CT and the probability of bleeding events.CONCLUSION: Using PK-CT-RTTE modelling, we demonstrated that ROTEM parameters can accurately predict the probability of bleeding events in a translational animal model of haemophilia A.
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2.
  • Springborg, Anders Deichmann, et al. (author)
  • High-dose naloxone : Effects by late administration on pain and hyperalgesia following a human heat injury model. A randomized, double-blind, placebo-controlled, crossover trial with an enriched enrollment design
  • 2020
  • In: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 15:11
  • Journal article (peer-reviewed)abstract
    • Severe chronic postsurgical pain has a prevalence of 4–10% in the surgical population. The underlying nociceptive mechanisms have not been well characterized. Following the late resolution phase of an inflammatory injury, high-dose μ-opioid-receptor inverse agonists reinstate hypersensitivity to nociceptive stimuli. This unmasking of latent pain sensitization has been a consistent finding in rodents while only observed in a limited number of human volunteers. Latent sensitization could be a potential triggering venue in chronic postsurgical pain. The objective of the present trial was in detail to examine the association between injury-induced secondary hyperalgesia and naloxone-induced unmasking of latent sensitization. Healthy volunteers (n = 80) received a cutaneous heat injury (47 C, 420 s, 12.5 cm2). Baseline secondary hyperalgesia areas were assessed 1 h post-injury. Utilizing an enriched enrollment design, subjects with a magnitude of secondary hyperalgesia areas in the upper quartile (‘high-sensitizers’ [n = 20]) and the lower quartile (‘low-sensitizers’ [n = 20]) were selected for further study. In four consecutive experimental sessions (Sessions 1 to 4), the subjects at two sessions (Sessions 1 and 3) received a cutaneous heat injury followed 168 h later (Sessions 2 and 4) by a three-step target-controlled intravenous infusion of naloxone (3.25 mg/kg), or normal saline. Assessments of secondary hyperalgesia areas were made immediately before and stepwise during the infusions. Simple univariate statistics revealed no significant differences in secondary hyperalgesia areas between naloxone and placebo treatments (P = 0.215), or between ‘high-sensitizers’ and ‘low-sensitizers’ (P = 0.757). In a mixed-effects model, secondary hyperalgesia areas were significantly larger following naloxone as compared to placebo for ‘high-sensitizers’ (P < 0.001), but not ‘low-sensitizers’ (P = 0.651). Although we could not unequivocally demonstrate naloxone-induced reinstatement of heat injury-induced hyperalgesia, further studies in clinical postsurgical pain models are warranted.
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3.
  • Brokjaer, Anne, et al. (author)
  • Population pharmacokinetics of morphine and morphine-6-glucuronide following rectal administration - A dose escalation study
  • 2015
  • In: European Journal of Pharmaceutical Sciences. - : Elsevier BV. - 0928-0987 .- 1879-0720. ; 68, s. 78-86
  • Journal article (peer-reviewed)abstract
    • Introduction: To safely and effectively administer morphine as liquid formulation via the rectal route, a thorough understanding of the pharmacokinetics is warranted. The aims were: (1) to develop a population pharmacokinetic model of liquid rectal morphine and morphine-6-glucoronide (M6G), (2) to simulate clinically relevant rectal doses of morphine and (3) to assess the tolerability and safety. Material and methods: This open label, dose escalation, four-sequence study was conducted in 10 healthy males. Three escalating doses of morphine hydrochloride (10 mg, 15 mg and 20 mg) were administered 20 cm from the anal verge. A 2 mg morphine hydrochloride dose was administered intravenously as reference. Blood samples were drawn at baseline and at nine time points post dosing. Serum was obtained by centrifugation and assayed for contents of morphine and M6G with a validated high performance liquid chromatographic method. Modelling was performed using NONMEM 7.2 and the first order conditional estimation method with interaction. Results: A two compartment distribution model with one absorption transit compartment for rectal administration and systemic clearance from the central compartment best described data. Systemic PK parameters were allometric scaled with body weight. The mean morphine absorption transit time was 0.6 h, clearance 78 L/h [relative standard error (RSE) 12%1 and absolute bioavailability 24% (RSE 11%). To obtain clinically relevant serum concentrations, simulations revealed that a single morphine hydrochloride dose of 35 mg will provide sufficient peak serum concentration levels and a 46 mg dose four times daily is suggested to maintain clinically relevant steady-state concentrations. Body weight was suggested to be an important covariate for morphine exposure. No severe side effects were observed. Conclusion: A population pharmacokinetic model of liquid rectal morphine and M6G was developed. The model can be used to simulate rectal doses to maintain analgesic activity in the clinic. The studied doses were safe and well tolerated. (C) 2014 Elsevier B.V. All rights reserved.
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4.
  • Juul, Rasmus Vestergaard, et al. (author)
  • A Pharmacokinetic-Pharmacodynamic Model of Morphine Exposure and Subsequent Morphine Consumption in Postoperative Pain
  • 2016
  • In: Pharmaceutical research. - : Springer Science and Business Media LLC. - 0724-8741 .- 1573-904X. ; 33:5, s. 1093-1103
  • Journal article (peer-reviewed)abstract
    • To characterize the pharmacokinetic-pharmacodynamic (PK-PD) relationship between exposure of morphine and subsequent morphine consumption and to develop simulation tools for model validation. Dose, formulation and time of morphine administration was available from a published study in 63 patients receiving intravenous, oral immediate release or oral controlled release morphine on request after hip surgery. The PK-PD relationship between predicted exposure of morphine and morphine consumption was modeled using repeated time to event (RTTE) modeling in NONMEM. To validate the RTTE model, a visual predictive check method was developed with simulated morphine consumption given the exposure of preceding morphine administration. The probability of requesting morphine was found to be significantly related to the exposure of morphine as well as night/day. Oral controlled release morphine was more effective than intravenous and oral immediate release formulations at equivalent average concentrations. Maximum effect was obtained for 8 h by oral controlled release doses a parts per thousand yenaEuro parts per thousand 15 mg, where probability of requesting a new dose was reduced to 20% for a typical patient. This study demonstrates the first quantitative link between exposure of morphine and subsequent morphine consumption and introduces an efficient visual predictive check approach with simulation of adaptive dosing.
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5.
  • Juul, Rasmus Vestergaard, et al. (author)
  • Analysis of opioid consumption in clinical trials : a simulation based analysis of power of four approaches
  • 2017
  • In: Journal of Pharmacokinetics and Pharmacodynamics. - : SPRINGER/PLENUM PUBLISHERS. - 1567-567X .- 1573-8744. ; 44:4, s. 325-333
  • Journal article (peer-reviewed)abstract
    • Inconsistent trial design and analysis is a key reason that few advances in postoperative pain management have been made from clinical trials analyzing opioid consumption data. This study aimed to compare four different approaches to analyze opioid consumption data. A repeated time-to-event (RTTE) model in NONMEM was used to simulate clinical trials of morphine consumption with and without a hypothetical adjuvant analgesic in doses equivalent to 15-62% reduction in morphine consumption. Trials were simulated with duration of 24-96 h. Monte Carlo simulation and re-estimation were performed to determine sample size required to demonstrate efficacy with 80% power using t test, Mann-Whitney rank sum test, time-to-event (TTE) modeling and RTTE modeling. Precision of efficacy estimates for RTTE models were evaluated in 500 simulations. A sample size of 50 patients was required to detect 37% morphine sparing effect with at least 80% power in a 24 h trial with RTTE modeling whereas the required sample size was 200 for Mann-Whitney, 180 for t-test and 76 for TTE models. Extending the trial duration from 24 to 96 h reduced the required sample size by 3.1 fold with RTTE modeling. Precise estimate of potency was obtained with a RTTE model accounting for both morphine effects and time-varying covariates on opioid consumption. An RTTE analysis approach proved better suited for demonstrating efficacy of opioid sparing analgesics than traditional statistical tests as a lower sample size was required due the ability to account for time-varying factors including PK.
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6.
  • Juul, Rasmus Vestergaard, et al. (author)
  • Repeated Time-to-event Analysis of Consecutive Analgesic Events in Postoperative Pain
  • 2015
  • In: Anesthesiology. - 0003-3022 .- 1528-1175. ; 123:6, s. 1411-1419
  • Journal article (peer-reviewed)abstract
    • Background: Reduction in consumption of opioid rescue medication is often used as an endpoint when investigating analgesic efficacy of drugs by adjunct treatment, but appropriate methods are needed to analyze analgesic consumption in time. Repeated time-to-event (RTTE) modeling is proposed as a way to describe analgesic consumption by analyzing the timing of consecutive analgesic events. Methods: Retrospective data were obtained from 63 patients receiving standard analgesic treatment including morphine on request after surgery following hip fracture. Times of analgesic events up to 96 h after surgery were extracted from hospital medical records. Parametric RTTE analysis was performed with exponential, Weibull, or Gompertz distribution of analgesic events using NONMEM (R), version 7.2 (ICON Development Solutions, USA). The potential influences of night versus day, sex, and age were investigated on the probability. Results: A Gompertz distribution RTTE model described the data well. The probability of having one or more analgesic events within 24 h was 80% for the first event, 55% for the second event, 31% for the third event, and 18% for fourth or more events for a typical woman of age 80 yr. The probability of analgesic events decreased in time, was reduced to 50% after 3.3 days after surgery, and was significantly lower (32%) during night compared with day. Conclusions: RTTE modeling described analgesic consumption data well and could account for time-dependent changes in probability of analgesic events. Thus, RTTE modeling of analgesic events is proposed as a valuable tool when investigating new approaches to pain management such as opioid-sparing analgesia.
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7.
  • Kehler, Jan, et al. (author)
  • Discovery and Development of C-11-Lu AE92686 as a Radioligand for PET Imaging of Phosphodiesterase10A in the Brain
  • 2014
  • In: Journal of Nuclear Medicine. - : Society of Nuclear Medicine. - 0161-5505 .- 1535-5667 .- 2159-662X. ; 55:9, s. 1513-1518
  • Journal article (peer-reviewed)abstract
    • Phosphodiesterase 10A (PDE10A) plays a key role in the regulation of brain striatal signaling, and several pharmaceutical companies currently investigate PDE10A inhibitors in clinical trials for various central nervous system diseases. A PDE10A PET ligand may provide evidence that a clinical drug candidate reaches and binds to the target. Here we describe the successful discovery and initial validation of the novel radiolabeled PDE10A ligand 5,8-dimethyl-2-[2-((1-C-11-methyl)-4-phenyl-1H-imidazol-2-yl)-ethyl]-[1,2,4]triazolo[1,5-a]pyridine (C-11-Lu AE92686) and its tritiated analog H-3-Lu AE92686. Methods: Initial in vitro experiments suggested Lu AE92686 as a promising radioligand, and the corresponding tritiated and C-11-labeled compounds were synthesized. 3H-Lu AE92686 was evaluated as a ligand for in vivo occupancy studies in mice and rats, and C-11-Lu AE92686 was evaluated as a PET tracer candidate in cynomolgus monkeys and in humans. Results: C-11-Lu AE92686 displayed high specificity and selectivity for PDE10A-expressing regions in the brain of cynomolgus monkeys and humans. Similar results were found in rodents using 3H-Lu AE92686. The binding of C-11-Lu AE92686 and 3H-Lu AE92686 to striatum was completely and dose-dependently blocked by the structurally different PDE10A inhibitor 2-[4-(1-methyl-4-pyridin-4-yl-1H-pyrazol-3-yl)-phenoxymethyl]-quinoline (MP-10) in rodents and in monkeys. In all species, specific binding of the radioligand was seen in the striatum but not in the cerebellum, supporting the use of the cerebellum as a reference region. The binding potentials (BPND) of C-11-Lu AE92686 in the striatum of both cynomolgus monkeys and humans were evaluated by the simplified reference tissue model with the cerebellum as the reference tissue, and BPND was found to be high and reproducible-that is, BP(ND)s were 6.5 +/- 0.3 (n = 3) and 7.5 +/- 1.0 (n = 12) in monkeys and humans, respectively. Conclusion: Rodent, monkey, and human tests of labeled Lu AE92686 suggest that C-11-Lu AE92686 has great potential as a human PET tracer for the PDE10A enzyme.
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8.
  • Larsen, Malte Selch, et al. (author)
  • Impact of trial design on the estimation of drug potency and power in clinical trials of haemophilia with inhibitors
  • 2018
  • In: European Journal of Pharmaceutical Sciences. - : Elsevier BV. - 0928-0987 .- 1879-0720. ; 123, s. 531-538
  • Journal article (peer-reviewed)abstract
    • Historically, clinical trials of haemophilia with inhibitors (HwI) have been challenged by the small patient population. New approaches to clinical trial methodology and statistical modelling could potentially be used for study optimization. The aim of this work was to evaluate the impact of different trial designs and study conditions on the estimated drug potency and power, and compare traditional statistical methods with repeated time-to-event (RTTE) modelling in terms of power. Bleeding information from a clinical trial of 23 haemophilia patients with inhibitors treated on-demand was used to develop a baseline RTTE model using NONMEM. Clinical trial simulations for a hypothetical anti-haemophilic drug were performed, by adding a drug effect and a literature-derived placebo effect to the baseline RTTE model, using different trial designs (parallel-group, placebo-controlled parallel-group, crossover and placebo-controlled crossover designs) and study conditions, including sample size, study duration and doses. The precision and accuracy of the estimated drug potency (EC50) and power for different trial designs, study conditions and statistical methods (RTTE modelling, t-test and negative binomial regression) were evaluated. The developed baseline RTTE model accurately described the clinical data. The crossover designs displayed up to four-fold higher precision of the estimated EC50 and three-fold higher power relative to the parallel-group trial designs. Furthermore, RTTE modelling provided a higher power relative to the traditional statistical tests. We found that crossover designs in combination with RTTE modelling can reduce the required sample size and study duration, while ensuring high power and precise estimation of EC50, in clinical trials of HwI.
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9.
  • Larsen, Malte Selch, et al. (author)
  • Prediction of human pharmacokinetics of activated recombinant factor VII and B-domain truncated factor VIII from animal population pharmacokinetic models of haemophilia
  • 2018
  • In: European Journal of Pharmaceutical Sciences. - : ELSEVIER SCIENCE BV. - 0928-0987 .- 1879-0720. ; 115, s. 196-203
  • Journal article (peer-reviewed)abstract
    • Various experimental animal models are used in haemophilia research, however, little is known about how well the different species predict pharmacokinetic (PK) profiles in haemophilia patients. The aim of the current study was to describe the plasma concentration-time profile of recombinant activated factor VII (rFVIIa) and recombinant factor VIII (rFVIII) in several experimental animal models using population PK modelling, and apply a simulation-based approach to evaluate how well the developed animal population PK models predict human PK. PK models were developed for rFVIIa and rFVIII in mice, rats, monkeys, and dogs using nonlinear mixed-effects modelling, accounting for inter-individual variability, nonlinear kinetics and covariate effects. Three scaling principles were applied to predict human PK: proportional scaling to body weight from single species, scaling with fixed theory-based allometric exponents from single species, and allometric interspecies scaling with estimated allometric coefficients and exponents. The plasma concentration-time profile of rFVIIa and rFVIII in mice, rats, monkeys and dogs were accurately described by the developed species-specific PK models, accounting for nonlinear kinetics and gender-specific difference in clearance for rFVIII. The predictive performance of the animal population PK models of rFVIIa and rFVIII revealed significant species-variation. The developed PK models of rFVIIa and rFVIII in monkeys and dogs along with allometric interspecies scaling revealed high predictive performance for human PK, and may promote rational decision-making in future first-in-human trials for rFVIIa and rFVIII variants.
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