Therapeutic drug monitoring to personalize dosing of imatinib, sunitinib, and pazopanib:A mixed methods study on barriers and facilitators

Background:Personalized dosing based on measurement of individual drug levels and adjusting the dose accordingly can improve efficacy and decrease unnecessary toxicity of oncological treatment. For imatinib, sunitinib, and pazopanib, this therapeutic drug monitoring (TDM)-guided dosing is, however, not routinely used, despite accumulating evidence favoring individualized dosing. Therefore, we aimed to identify and quantify (potential) barriers and facilitators in TDM-guided dosing for imatinib, sunitinib, and pazopanib. Methods: We performed a mixed methods study among all stakeholders involved: patients, healthcare professionals (HCPs), pharmaceutical companies, and health insurance companies. During the first qualitative part of this study, we performed semi-structured individual interviews and one focus group interview to identify all (potential) barriers and facilitators, and during the second quantitative part of this study, we used a web-based survey to quantify these findings. The interviews addressed the six domains of the implementation of change model of Grol and Wensing: (1) the innovation itself; (2) the HCP; (3) the patient; (4) social context; (5) organizational context; and (6) finances, law, and governance. Results: In the qualitative study, we interviewed 20 patients, 18 HCPs and 10 representatives of pharmaceutical and health insurance companies and identified 72 barriers and 90 facilitators. In the quantitative study, the survey was responded by 66 HCPs and 58 patients. Important barriers were on the domain of the HCP, such as a lack of experience with TDM (36.4%), on the domain of the patient, such as lack of awareness of TDM (39.7%), and the processing time for measurement and interpretation of the TDM result (40.9%) (organizational domain). Important facilitators were education of HCPs (95.5%), education of patients (87.9%) and facilitating an overview of when and where TDM measurements are being performed (86.4%). Conclusion: We identified and quantified important barriers and facilitators for the implementation of TDM-guided dosing for imatinib, sunitinib, and pazopanib. Based on our results, the implementation strategy should mainly focus on educating both HCPs and patients and on the organizational aspect of TDM.</p

Classifying Back Pain and Peripheral Joint Complaints in Inflammatory Bowel Disease Patients: A Prospective Longitudinal Follow-up Study

Development and application of statistical models for medical scientific researc

Novel genetic loci associated with hippocampal volume

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg =-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness

Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes

Prior sensitivity analysis in default Bayesian structural equation modeling

Bayesian structural equation modeling (BSEM) has recently gained popularity because it enables researchers to fit complex models and solve some of the issues often encountered in classical maximum likelihood estimation, such as nonconvergence and inadmissible solutions. An important component of any Bayesian analysis is the prior distribution of the unknown model parameters. Often, researchers rely on default priors, which are constructed in an automatic fashion without requiring substantive prior information. However, the prior can have a serious influence on the estimation of the model parameters, which affects the mean squared error, bias, coverage rates, and quantiles of the estimates. In this article, we investigate the performance of three different default priors: noninformative improper priors, vague proper priors, and empirical Bayes priors-with the latter being novel in the BSEM literature. Based on a simulation study, we find that these three default BSEM methods may perform very differently, especially with small samples. A careful prior sensitivity analysis is therefore needed when performing a default BSEM analysis. For this purpose, we provide a practical step-by-step guide for practitioners to conducting a prior sensitivity analysis in default BSEM. Our recommendations are illustrated using a well-known case study from the structural equation modeling literature, and all code for conducting the prior sensitivity analysis is available in the online supplemental materials

Development and validation of an UPLC-MS/MS bioanalytical method for simultaneous quantification of the antiretroviral drugs dolutegravir, elvitegravir, raltegravir, nevirapine and etravirine in human plasma

Dolutegravir, elvitegravir, raltegravir, nevirapine and etravirine are antiretroviral drugs used as part of combined antiretroviral treatment for HIV-infection. For quantification of these drugs in human K2EDTA plasma samples an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) bioanalytical method was developed and validated. Stable isotope labeled internal standards were used for each analyte. Simple protein precipitation with methanol was implemented to prepare plasma samples of at least 50muL. The method was validated for dolutegravir, elvitegravir, raltegravir, nevirapine and etravirine over the ranges 9.7-9700, 52-10,470, 9.7-9730, 73-14,680 and 15-3010ng/mL, respectively. Within-run and between-run accuracy and precision were within +/-15% of the nominal concentration for quality controls at high, medium and low concentrations, and within +/-20% at the lower limit of quantification for all analytes. Recovery was &gt;/=76% and reproducible. Long-term stability of patient plasma samples was demonstrated for at least 12months at -40 degrees C (4months for etravirine). Currently, this robust method with a run time of 10min is used in clinical research and for therapeutic drug monitoring of these frequently used antiretroviral drugs

Development and validation of an UPLC-MS/MS bioanalytical method for simultaneous quantification of the antiretroviral drugs dolutegravir, elvitegravir, raltegravir, nevirapine and etravirine in human plasma

Contains fulltext : 202572.pdf (publisher's version ) (Closed access)Dolutegravir, elvitegravir, raltegravir, nevirapine and etravirine are antiretroviral drugs used as part of combined antiretroviral treatment for HIV-infection. For quantification of these drugs in human K2EDTA plasma samples an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) bioanalytical method was developed and validated. Stable isotope labeled internal standards were used for each analyte. Simple protein precipitation with methanol was implemented to prepare plasma samples of at least 50muL. The method was validated for dolutegravir, elvitegravir, raltegravir, nevirapine and etravirine over the ranges 9.7-9700, 52-10,470, 9.7-9730, 73-14,680 and 15-3010ng/mL, respectively. Within-run and between-run accuracy and precision were within +/-15% of the nominal concentration for quality controls at high, medium and low concentrations, and within +/-20% at the lower limit of quantification for all analytes. Recovery was >/=76% and reproducible. Long-term stability of patient plasma samples was demonstrated for at least 12months at -40 degrees C (4months for etravirine). Currently, this robust method with a run time of 10min is used in clinical research and for therapeutic drug monitoring of these frequently used antiretroviral drugs