* Patients harboring a t(4;14), t(14;16), or del(17p) were classified as having high-risk disease and all other cases as being at standard risk. ONLINE SUPPLEMENTARY CONTENTS Elotuzumab, lenalidomide, and dexamethasone as salvage therapy for patients with multiple myeloma: Italian, multicenter, retrospective clinical experience with 300 cases outside of controlled clinical trials

This study used a nationally representative sample of 14,910 high school adolescents, aged 15-19 years. The large sample size presents a unique opportunity to evaluate firstly the geographical distribution of gambling prevalence, secondly, on a subsample of 5,920 adolescents, we studied the association of "no-problem-gambling", "at-risk gambling" and a relatively rare condition, "problem gambling", with demographic, environmental and behavioral variables. It differs from other studies due to the broad sample, thus enabling the combined analysis of the above variables that typically have only been studied separately. This integrated analysis, involving multiple variables, individual and environmental, allows the control of important covariates. Multivariate analysis showed that at-risk/problem gamblers were more likely to be engaged in behaviors contrary to social rules/law including heavy episodic drinking, tranquillizer/sedatives use as well as to approve gambling and have friends who gamble. It's important to emphasize that risk-perception is not related to gambling. Furthermore, the great geographical variability of at-risk and problem-gambling rates suggest that social aspects have to be considered. Currently universal prevention specifically targeting gambling is lacking, thus an associative model such as social analysis have been implemented in this study, in order to construct the basis for the design of a future prevention program based on scientific results and thus having important implications for implementation within community based activities. Prevention is fundamental: 53.5% of underage individuals have engaged in gambling even though legislation attempts to restrict access.

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A longitudinal, prospective, observational, single-center, cohort study on healthy donors (HDs) was designed to identify predictors of CD34 + cells on day 5 with emphasis on the predictive value of the basal CD34 + cell count. As potential predictors of mobilization, age, sex, body weight, height, blood volume as well as white blood cell count, peripheral blood (PB) mononuclear cells, platelet count, hematocrit, and hemoglobin levels were considered. Two different evaluations of CD34 + cell counts were determined for each donor: baseline (before granulocyte colony-stimulating factor [G-CSF] administration) and in PB after G-CSF administration on the morning of the fifth day (day 5). A total of 128 consecutive HDs (66 males) with a median age of 43 years were enrolled. CD34 + levels on day 5 displayed a non-normal distribution, with a median value of 75.5 cells/ μL. To account for the non-normal distribution of the dependent variable, a quantile regression analysis to predict CD34 + on day 5 using the baseline value of CD34 + as the key predictor was performed. On crude analysis, a baseline value of CD34 + ranging from .5 cells/μL to 1 cells/μL predicts a median value of 50 cells/μL on day 5; a value of 2 cells/μL predicts a median value of 70.7 cells/μL; a value of 3 cells/μL to 4 cells/μL predicts a median value of 91.3 cells/μL, and a value ≥ 5 predicts a median value of 112 cells/μL. In conclusion, the baseline PB CD34 + cell count correlates with the effectiveness of allogeneic PB stem cell mobilization and could be useful to plan the collection.