Nonskeletal and skeletal effects of high doses versus low doses of vitamin D3 in renal transplant recipients: Results of the VITALE (VITamin D supplementation in renAL transplant recipients) study, a randomized clinical trial.

Vitamin D sufficiency is associated with a reduced risk of fractures, diabetes mellitus, cardiovascular events, and cancers, which are frequent complications after renal transplantation. The VITALE (VITamin D supplementation in renAL transplant recipients) study is a multicenter double-blind randomized trial, including nondiabetic adult renal transplant recipients with serum 25-hydroxy vitamin D (25(OH) vitamin D) levels of <30 ng/mL, which is randomized 12 to 48 months after transplantation to receive high (100 000 IU) or low doses (12 000 IU) of cholecalciferol every 2 weeks for 2 months and then monthly for 22 months. The primary outcome was a composite endpoint, including diabetes mellitus, major cardiovascular events, cancer, and death. Of 536 inclusions (50.8 [13.7] years, 335 men), 269 and 267 inclusions were in the high-dose and low-dose groups, respectively. The serum 25(OH) vitamin D levels increased by 23 versus 6 ng/mL in the high-dose and low-dose groups, respectively (P < .0001). In the intent-to-treat analysis, 15% versus 16% of the patients in the high-dose and low-dose groups, respectively, experienced a first event of the composite endpoint (hazard ratio, 0.94 [0.60-1.48]; P = .78), whereas 1% and 4% of patients in the high-dose and low-dose groups, respectively, experienced an incident symptomatic fracture (odds ratio, 0.24 [0.07-0.86], P = .03). The incidence of adverse events was similar between the groups. After renal transplantation, high doses of cholecalciferol are safe but do not reduce extraskeletal complications (trial registration: ClinicalTrials.gov; identifier: NCT01431430).

Medical Students' Learning Process During Simulated Patient Consultations in Psychiatry: A Grounded Theory Study.

INTRODUCTION: Recent changes in psychiatric care and teaching, which limit patient contact for medical students, can be partially overcome by simulation-based education in psychiatry. The authors explored the learning processes of medical students during meetings with simulated patients to inform efforts to improve this teaching. METHODS: After recruiting 81 undergraduate medical students from 3 universities to participate in 6 simulation sessions in psychiatry, the authors purposively sampled 21 students to participate in face-to-face individual semistructured interviews analyzed with constructivist grounded theory. Integration of this analysis with those of the simulation consultation videotapes and the debriefing audiotapes improved the triangulation process. RESULTS: Three organizational themes were identified: developing and structuring representations of psychiatry; integrating subjectivity into learning; and refining and developing psychiatric praxis. Given the broad and in-depth learning that occurs, simulation in psychiatry should respect content validity of SP portrayals to ensure appropriate learning. However, psychological fidelity seems to provide adequate realism while retaining feasibility. Psychiatric simulation also requires the encouragement of student self-confidence and well-being. Within a reflective framework, simulation triggers cognitive reframing, which can alleviate fears and prejudice toward people with mental disorders. CONCLUSIONS: The holistic interactive learning process involved in simulation can address the complexity of the personal and interpersonal features needed in psychiatry.

[Metabolome and mass spectrometry: new biomedical analysis perspectives]. / Métabolomique et spectrométrie de masse : de nouvelles perspectives en analyse biomédicale.

Metabolomics is defined as an integrative approach consisting in the comprehensive analysis of all of the small molecules of a biological system (the "metabolome"). The main objective of metabolomics in medecine is to discover metabolic biomarkers for diseases. Mass spectrometry (MS) coupled to liquid or gas chromatography is amongst major analytical tools used in metabolomics. However, the holistic approach used in metabolomics requires very good performances of the analytical system (chromatographic column and MS equipment) and the use of non-conventional validation strategies. Metabolomics workflow can be divided in three main steps: sample preparation, MS data acquisition and processing, and statistical analysis. Processing of the "raw" data (obtained after MS acquisition) is mostly required to normalise chromatographic conditions and to carry out accurate quantification of MS features. Features resulting from this processing may be identified later. The statistical analyses include typically multivariate techniques such as supervised and non-supervised methods. Supervised methods make use of the response variable (e.g., case/control) for model construction while non-supervised methods do not use this piece of information. When the study is focused on a particular set of metabolites, targeted metabolomics could be an interesting alternative to the holistic approach since it may allow absolute quantitation and be associated with a reduced cost.