These data do not support the prognostic utility of PET-CT in pretreatment and interim treatment settings. A positive PET-CT after the completion of therapy identifies a patient subset with an inferior PFS and a trend toward inferior OS.

Array comparative genomic hybridization (aCGH) has yet to be fully leveraged in a prognostic setting in chronic lymphocytic leukemia (CLL). Genomic imbalance was assessed in 288 CLL specimens using a targeted array. Based on 20 aberrations in a hierarchical manner, all 228 treatment-naive specimens were classified into a group with poor outcome (20.6%) exhibiting at least one aberration that was univariately associated with adverse outcome (gain: 2p, 3q, 8q, 17q, loss: 7q, 8p, 11q, 17p, 18p), good outcome (32.5%) showing 13q14 loss without any of the other 10 aberrations (gain: 1p, 7p, 12, 18p, 18q, 19, loss: 4p, 5p, 6q, 7p) or intermediate outcome (remainder). The three groups were significantly separated with respect to time to first treatment and overall survival (p < 0.001), and validation of the stratification scheme was performed in two independent datasets. Gain of 3q and 8q, and 17p loss were determined to be independent unfavorable prognostic biomarkers. TP53, NOTCH1 and SF3B1 mutations correlated with the presence of one poor outcome aCGH marker, at a considerably higher frequency than when only considering poor risk aberrations routinely detected by fluorescence in situ hybridization (FISH). These data support genomic imbalance evaluation in CLL by aCGH to assist in risk stratification.

Subtypes of diffuse large B-cell lymphoma (DLBCL) that have inferior outcomes after front-line therapy with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone) have been identified. While it is agreed that R-CHOP is probably not adequate in these patients, there is no standard treatment approach for patients with DLBCL with high-risk features. We present results of a retrospective cohort study of high-risk DLBCL (defined as having at least one unfavorable risk factor: non-germinal center [GC] subtype by immunohistochemistry [IHC], Ki-67 ≥ 80%, high International Prognostic Index [IPI], c-MYC rearrangement) treated with R-HCVAD/R-MTX-AraC (rituximab, cyclophosphamide-fractionated, vincristine, doxorubicin and dexamethasone alternating with rituximab, methotrexate and cytarabine; R-HCVAD) as front-line therapy. With a median follow-up of 25.3 months, the 3-year PFS and OS estimates are 79% (95% confidence interval [CI], 65-88%) and 76% (95% CI, 61-86%), respectively, which are higher than those for historical comparisons with R-CHOP data for high-risk patients. These data are in accord with other recent reports of dose-intense front-line therapy of high-risk DLBCL. This analysis represents the largest reported cohort of patients with DLBCL treated with R-HCVAD. These data suggest that R-HCVAD can overcome traditional poor risk features such as high IPI, high Ki-67 and non-GC IHC pattern. Future work will focus on identifying molecular markers for failure in patients with DLBCL treated with dose-intensive regimens.

BackgroundTraumatic injury in a growing geriatric population is associated with higher mortality and complication rates. Geriatric consultation (GC) is vital in reducing risk factors that contribute to adverse outcomes. This study aims to determine if receiving a GC had an impact on high-risk medication usage.MethodsPatients eligible for a GC, age ≥ 65, and length of stay > two days, were identified via a chart review from July 2013 to July 2014 at a Level II trauma center. This population was divided into those with and without a GC. Data collected included demographics, injury severity, medications, delirium, mortality, and readmissions. High-risk medications were defined using the Beers Criteria. Statistical analysis involved using appropriate standard tests to compare groups, including multivariate logistic regression.ResultsForty-nine of a total of 104 patients received a GC. Groups were comparable on injury severity score, co-morbidities, and high-risk medication use upon admissions. The GC group was 74% less likely to be discharged on high-risk medications than the non-GC group.ConclusionGC in elderly trauma patients reduces high-risk medication use upon discharge. Further studies are needed to explore how GC impacts readmission rates and mortality. A multidisciplinary trauma team, including a geriatrician, must exist to address the unique medical, psychological, functional, and social issues of a growing, aged trauma population.

Objective To determine if statewide marijuana laws impact upon the detection of drugs and alcohol in victims of motor vehicle collisions (MVC). Methods A retrospective analysis of data collected at trauma centers in Arizona, California, Ohio, Oregon, New Jersey, and Texas between 2006 and 2018 was performed. The percentage of patients testing positive for marijuana tetrahydrocannabinol (THC) was compared to the percentage of patients driving under the influence of alcohol (blood alcohol level >0.08 g/dL) that were involved in an MVC. Results The data were analyzed to evaluate the trends in THC and alcohol use in victims of MVC, related to marijuana legalization. The change in incidence of THC detection (percentage) over the time period where data were available are as follows: Arizona 9.5% (0.4 to 9.9), California 5.4% (20.8 to 26.2), Ohio 5.9% (6.7 to 12.6), Oregon 3% (3.0 to 6.0), New Jersey 2.3% (2.7 to 5.0), and Texas 15.3% (3.0 to 18.3). Alcohol use did not change over time in most states. There did not appear to be a relationship between the legalization of marijuana and the likelihood of finding THC in patients admitted after MVC. In fact, in Texas, where marijuana remains illegal, there was the largest change in detection of THC. Conclusions There was no apparent increase in the incidence of driving under the influence of marijuana after legalization. In addition, the changes in marijuana legislation did not appear to impact alcohol use.