Citations

Aims Haemophagocytic lymphohistiocytosis (HLH) is divided into paediatric (primary) and adult (secondary) types. While paediatric-HLH has been extensively characterised, similar studies in adults are limited. This study aims to evaluate the significance of the HLH diagnostic criteria as well as other clinical parameters in adults with bone marrow evidence of haemophagocytosis. Methods We conducted a 10-year retrospective search of the pathology archives of two institutions for cases with bone marrow haemophagocytosis. We included those cases that fulfilled the currently established HLH diagnostic criteria. For the 29 cases that met inclusion criteria, we assessed clinical features, co-morbidities, therapy and clinical outcome. The effect of 19 clinical variables on mortality outcomes was assessed using logistic and hazard regression analyses. Results Of cases for which an aetiology could be identified, infectious diseases were the most common association (14 of 19, 74%). Fever and elevated ferritin were the most frequently available criteria used to establish HLH. The overall mortality rate was 61% despite HLH-specific therapy, which had been initiated in 48% of the cases. The remaining cases were treated with supportive therapy and antibiotics. The most statistically significant marker of mortality was an elevated absolute neutrophil count (ANC), a feature not typical of HLH. Conclusions Since elevated ANC correlates with poor outcomes in sepsis, and not HLH, we postulate that many of the patients fulfilling HLH diagnostic criteria in this study likely had sepsis/systemic inflammatory response syndrome rather than HLH. Our results highlight the need to define HLH diagnostic criteria specific to the adult population.

Abstract Breast density represents the stromal and epithelial tissue in the breast and is a strong risk factor for breast cancer. Reductions in breast density attributable to tamoxifen (TAM) and aromatase inhibitors (AI) may be associated with reduced risk of first primary and subsequent breast cancer. Studies assessing breast density changes have principally used two-dimensional measures. We assess changes in breast density following initiation of TAM and AI using two automated volumetric density measures that have shown strong associations to breast cancer risk. Breast cancer cases with a full field digital mammogram (FFDM) prior to diagnosis (index mammogram) and after initiation of TAM (n = 379) or AI (n = 425) were identified from the Mayo Clinic Mammography Practice and the San Francisco Mammography Registry. Volumetric percent density (VPD) and dense volume (DV) were measured on 4-view FFDM using VolparaTM (Matakina Technology) and QuantraTM (Hologic) automated software. We used linear regression to assess the effect of treatment on mean annualized change in VPD and DV (change from index to last mammogram divided by time interval) for each software type, adjusting for age, body mass index (BMI) and density at index mammogram. The median time between index mammogram and cancer diagnosis was 0.6 months (IQR: 0.2, 2.2) and median time between index and last mammogram was 3 years (IQR: 2.0, 3.9). Women on TAM were younger, had lower BMI and higher baseline VPD and DV relative to women on AI (Table). An annual decrease in VPD and DV was observed with both TAM and AI. Both Volpara and Quantra estimated a similar magnitude of change in VPD in women on TAM and AI, and a greater change in DV with TAM. Our findings suggest that both Volpara and Quantra can assess volumetric changes in breast density among women on hormone therapy. If declines in volumetric density correlate with a reduction in breast cancer risk, these automated measures could be used in clinical practice to assess response to therapy. Annualized changes in volumetric breast density estimated by linear regression.Tamoxifen (n = 379)Aromatase Inhibitors (n = 425)Baseline Median (IQR)Annualized Change (95% CI)*Baseline Median (IQR)Annualized Change (95% CI)*Age at Diagnosis50.0 (45.0, 60.0)–63.0 (58.0, 71.0)–Body Mass Index (BMI)23.6 (21.5, 26.8)–25.7 (22.7, 29.9)–Time Interval¥3.0 (2.1, 3.9)–3.0 (2.1, 3.9)–VolparaPercent Density (VPD,%)11.6 (6.8, 18.8)-0.17 (-0.27, -0.10)7.2 (5.0, 11.0)-0.19 (-0.29, -0.12)Dense Volume (DV, cm3)64.7 (45.4, 90.9)-0.90 (-1.45, -0.48)51.9 (38.9, 69.9)-0.52 (-0.93, -0.23)QuantraPercent Density (VPD,%)14.5 (9.2, 20.2)-0.42 (-0.59, -0.28)9.9 (7.1, 14.5)-0.38 (-0.54, -0.25)Dense Volume (DV, cm3)94.0 (58.0, 144.0)-2.20 (-3.52, -1.19)80.0 (49.0, 128.0)-0.95 (-1.85, -0.35)IQR = Interquartile range ¥ Median number of years between index mammogram and last mammogram post-initiation of therapy. *Annualized change estimated as change from index to last mammogram divided by time interval and adjusted for study site, age at diagnosis, BMI and density at index mammogram. Citation Format: Natalie J. Engmann, Celine M. Vachon, Christopher G. Scott, Matthew R. Jensen, Lin Ma, Kathleen R. Brandt, Amir P. Mahmoudzadeh, Serghei Malkov, Dana H. Whaley, Carrie B. Hruska, Fang F. Wu, Stacey J. Winham, Diana L. Miglioretti, Aaron D. Norman, John J. Heine, John Shepherd, V Shane Pankratz, Karla Kerlikowske. Longitudinal changes in volumetric breast density with adjuvant endocrine therapy among women with breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3424.

AbstractBackgroundChildhood obesity is underdiagnosed in primary care practices. Our study aimed to compare rates of documentation of diagnosis of obesity and counselling for nutrition and physical activity at an academic primary care practice prior to and following implementation of a body mass index (BMI)‐based electronic point of care clinical reminder tool.MethodsWe performed a retrospective record review of children aged 2–18 years undergoing well child visits during any of three calendar years (2009, 2011 and 2013). The electronic clinical reminder tool was implemented in September 2010. Records of children with BMI > 95th percentile were electronically searched for terms of documentation of diagnosis of obesity and nutrition and physical activity counselling. Multivariable logistic regression models were used to adjust for potential patient and provider confounders.ResultsAmong those with BMI ≥ 95th percentile, there was a statistically significant increase in documentation of diagnosis of obesity (45.5% in 2009 vs. 52.4% in 2011; P < 0.001; adjusted odds ratio 1.36; 95% CI 1.13–1.65) and in counselling for physical activity and nutrition (66.8% in 2009 vs. 75.2% in 2011; P < 0.001; adjusted odds ratio 1.33; 95% CI 1.06–1.66) following implementation of the tool. Compared with 2011, there was no statistically significant increase in documentation of obesity (50.4%) or nutrition and physical activity counselling (77.9%) in 2013.ConclusionsThe implementation of a point of care clinical reminder tool was associated with improvement in documentation of diagnosis of obesity and counselling for nutrition and physical activity. Further studies are needed to determine the impact of these automated tools on weight outcomes in children.

Background: Pediatric obesity is a significant public health problem with a prevalence of 16.9% among US children. School-based obesity interventions show promise for reducing adiposity in elementary age children. This pilot study evaluated the impact of the Let’s Go! 5-2-1-0 pediatric obesity intervention program in an elementary school setting. Methods: This was a cluster randomized controlled field trial comprising 8 classrooms of second- and third-grade children. The impact of implementation of a standardized 5-2-1-0 curriculum was evaluated in the classrooms by looking at health behavior (self-reported fruit and vegetable and sugar-containing beverage intake, and screen time), physical activity (steps measured by pedometer), and body mass index (BMI). Half of the classrooms were given 5-2-1-0 teaching over a 4-month period. Results: There was no statistical difference in improvement of healthy habits, BMI, or physical activity in the intervention group compared with the control group. Conclusions: The 5-2-1-0 intervention used in this study was feasible. There was no significant change in healthy habits, likely due to the small number of participants in the study. The intervention and control sites were in different classrooms and there could be factors such as teacher enthusiasm, socioeconomic factors, and individual traits affecting habits. Future studies could use pre- and post-intervention quizzes to assess healthy habits knowledge retention, involving the environments the child participates in outside of school, using research-grade pedometers or accelerometers for measuring activity data collection, and recruiting larger samples to ensure adequate statistical power.

ObjectiveWhite matter hyperintensities (WMHs) are areas of increased signal on T2‐weighted magnetic resonance imaging (MRI) scans that most commonly reflect small vessel cerebrovascular disease. Increased WMH volume is associated with risk and progression of Alzheimer's disease (AD). These observations are typically interpreted as evidence that vascular abnormalities play an additive, independent role contributing to symptom presentation, but not core features of AD. We examined the severity and distribution of WMH in presymptomatic PSEN1, PSEN2, and APP mutation carriers to determine the extent to which WMH manifest in individuals genetically determined to develop AD.MethodsThe study comprised participants (n = 299; age = 39.03 ± 10.13) from the Dominantly Inherited Alzheimer Network, including 184 (61.5%) with a mutation that results in AD and 115 (38.5%) first‐degree relatives who were noncarrier controls. We calculated the estimated years from expected symptom onset (EYO) by subtracting the affected parent's symptom onset age from the participant's age. Baseline MRI data were analyzed for total and regional WMH. Mixed‐effects piece‐wise linear regression was used to examine WMH differences between carriers and noncarriers with respect to EYO.ResultsMutation carriers had greater total WMH volumes, which appeared to increase approximately 6 years before expected symptom onset. Effects were most prominent for the parietal and occipital lobe, which showed divergent effects as early as 22 years before estimated onset.InterpretationAutosomal‐dominant AD is associated with increased WMH well before expected symptom onset. The findings suggest the possibility that WMHs are a core feature of AD, a potential therapeutic target, and a factor that should be integrated into pathogenic models of the disease. Ann Neurol 2016;79:929–939

The impact of race on outcomes of patients with chronic lymphocytic leukemia (CLL), the most common leukemia in the west, is not well studied. We aimed to understand racial variations in clinical and disease characteristics, treatment patterns, and outcomes in patients with CLL. We utilized the Mayo Clinic CLL database to perform an analysis of these characteristics and natural history of non‐white (NW) compared to white (W) CLL patients. Differences by race in median overall survival (OS) and time‐to‐first‐treatment (TTFT) were investigated. Of the 4215 CLL patients, 4114 (97.6%) were W and 101 (2.4%) were NW. NW patients were younger (median age at diagnosis 59.4 vs. 63.4; P = 0.003) and more likely to have an elevated LDH (28.0% vs. 16.2%; P = 0.02). No differences in prognostic parameters were noted. No major differences were observed in treatment selection. OS and TTFT were similar between both groups. In the largest analysis of NW‐CLL patients in North America, and contrary to historical retrospective reports, W and NW patients appear to have comparable outcomes when treated similarly. These findings suggest previously noted outcome differences may be due to disparities in access to care and management rather than differences in disease biology. Am. J. Hematol. 91:677–680, 2016. © 2016 Wiley Periodicals, Inc.

AbstractIntroductionThe genetics underlying posterior cortical atrophy (PCA), typically a rare variant of Alzheimer's disease (AD), remain uncertain.MethodsWe genotyped 302 PCA patients from 11 centers, calculated risk at 24 loci for AD/DLB and performed an exploratory genome‐wide association study.ResultsWe confirm that variation in/near APOE/TOMM40 (P = 6 × 10−14) alters PCA risk, but with smaller effect than for typical AD (PCA: odds ratio [OR] = 2.03, typical AD: OR = 2.83, P = .0007). We found evidence for risk in/near CR1 (P = 7 × 10−4), ABCA7 (P = .02) and BIN1 (P = .04). ORs at variants near INPP5D and NME8 did not overlap between PCA and typical AD. Exploratory genome‐wide association studies confirmed APOE and identified three novel loci: rs76854344 near CNTNAP5 (P = 8 × 10−10 OR = 1.9 [1.5–2.3]); rs72907046 near FAM46A (P = 1 × 10−9 OR = 3.2 [2.1–4.9]); and rs2525776 near SEMA3C (P = 1 × 10−8, OR = 3.3 [2.1–5.1]).DiscussionWe provide evidence for genetic risk factors specifically related to PCA. We identify three candidate loci that, if replicated, may provide insights into selective vulnerability and phenotypic diversity in AD.