Citations

Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm—the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.

Background The Global Burden of Disease Study (GBD) has historically produced estimates of causes of injury such as falls but not the resulting types of injuries that occur. The objective of this study was to estimate the global incidence, prevalence and years lived with disability (YLDs) due to facial fractures and to estimate the leading injurious causes of facial fracture. Methods We obtained results from GBD 2017. First, the study estimated the incidence from each injury cause (eg, falls), and then the proportion of each cause that would result in facial fracture being the most disabling injury. Incidence, prevalence and YLDs of facial fractures are then calculated across causes. Results Globally, in 2017, there were 7 538 663 (95% uncertainty interval 6 116 489 to 9 493 113) new cases, 1 819 732 (1 609 419 to 2 091 618) prevalent cases, and 117 402 (73 266 to 169 689) YLDs due to facial fractures. In terms of age-standardised incidence, prevalence and YLDs, the global rates were 98 (80 to 123) per 100 000, 23 (20 to 27) per 100 000, and 2 (1 to 2) per 100 000, respectively. Facial fractures were most concentrated in Central Europe. Falls were the predominant cause in most regions. Conclusions Facial fractures are predominantly caused by falls and occur worldwide. Healthcare systems and public health agencies should investigate methods of all injury prevention. It is important for healthcare systems in every part of the world to ensure access to treatment resources.

Background Past research has shown how fires, heat and hot substances are important causes of health loss globally. Detailed estimates of the morbidity and mortality from these injuries could help drive preventative measures and improved access to care. Methods We used the Global Burden of Disease 2017 framework to produce three main results. First, we produced results on incidence, prevalence, years lived with disability, deaths, years of life lost and disability-adjusted life years from 1990 to 2017 for 195 countries and territories. Second, we analysed these results to measure mortality-to-incidence ratios by location. Third, we reported the measures above in terms of the cause of fire, heat and hot substances and the types of bodily injuries that result. Results Globally, there were 8 991 468 (7 481 218 to 10 740 897) new fire, heat and hot substance injuries in 2017 with 120 632 (101 630 to 129 383) deaths. At the global level, the age-standardised mortality caused by fire, heat and hot substances significantly declined from 1990 to 2017, but regionally there was variability in age-standardised incidence with some regions experiencing an increase (eg, Southern Latin America) and others experiencing a significant decrease (eg, High-income North America). Conclusions The incidence and mortality of injuries that result from fire, heat and hot substances affect every region of the world but are most concentrated in middle and lower income areas. More resources should be invested in measuring these injuries as well as in improving infrastructure, advancing safety measures and ensuring access to care.

ABSTRACT Atrial fibrillation (AF) in lifetime athletes (e.g., ≥5 years of participation) is a growing concern but remains enigmatic. Intriguingly, a direct relationship between lifetime training hours and risk of developing AF exists. Professionals in exercise and sport science are at the forefront to help recognize symptoms and direct the athlete to appropriate medical clinicians for expedient care. Although AF in athletes is usually not accompanied by structural heart disease or stroke risk factors (i.e., termed lone AF), it may, nonetheless, pose health risks. In this study, we review various types of AF, proposed mechanisms, and treatment strategies for athletes with AF.

Abstract Background: MDS is a clonal bone marrow disorder characterized by ineffective hematopoiesis with peripheral blood cytopenias and an increased risk for transformation to acute leukemia. Patients with MDS who have a history of prior exposure to chemotherapy and/or radiotherapy are called therapy-related MDS (t-MDS). We hereby describe our experience with this entity and compare it to our experience with de novo MDS patients. Aim: To study the differences of clinical outcome between t-MDS and de novo MDS patients. Method: A retrospective single institution study chart review of cases with MDS at Mayo Clinic Rochester between 1993- 2011 was performed. De novo MDS, t-MDS and leukemic transformation (LT) were defined according to the World Health Organization (WHO) classification (Swerdlow et al 2008). Prior exposures to chemotherapy, radiotherapy and/ or both were defined as t-MDS; while lack of any as de novo MDS. Appropriate IRB approval was obtained in accordance with the Helsinki declaration. Comparison between group medians was done using Wilcoxon test, comparison between values was done using contingency and One-way analyses (Means/Anova/Pooled t), while survival estimates were calculated using Kaplan-Meier curves JMP V10 Results: Out of 827 patients with MDS, 153 (19%) patients were t-MDS (group (Gr) 1) versus 674 (81%) (rest of patients, Gr 2). Out of the t-MDS, 79 (52%) pts had CTX, and 42 (27%) had XRT, and 32 (21%) pts had both CTX/XRT). Upon comparison between Gr 1 vs 2, statistical significant difference was seen in median age 69 vs 72 (p=0.01), Platelets 68 vs 114 x109(<p0.0001), and WBC 3.2 vs 3.6 x109(0.02), respectively. No significant statistical difference was found in median Hg 9.6 vs 9.7 gm/dL (p 0.6), peripheral blood (PB) blasts 0% in both groups, and bone marrow (BM) blasts 2% in both groups. IPSS was low, int-1, int-2, high in 16%, 40%, 34%, 9%in Gr 1 and 32%, 46%, 18%, 4% in Gr 2. IPSS-R was very low, low, int, high, very high in 9%, 24%, 18%, 20%, 28% in Gr 1 vs 18%, 36%, 20%, 16%, 10% in Gr 2. AML transformation (LT) was identical in both groups at 12%. Upon comparison between Gr 1 and 2, median time to AML transformation was 7.9 vs 13 months (p=0.08). Median overall survival (mOS) was shorter in Gr 1 vs 2 at 16 vs 34 months (P<0.0001). When analysis was limited to diploid cytogenetics, median OS was 63 vs 50 months, respectively (p=0.9). Both IPSS and IPSS-R were prognostic of mOS in t-MDS (p<0.0001). On multivariate analysis; age (<0.0001), IPSS-R (p<0.0001) and previous CTX and/ or XRT (P=0.02) were the only variables that affected mOS. Conclusion: T-MDS comprises a small portion of all MDS cases (19%). Median overall survival in the de novo MDS group was longer than t-MDS group; however this difference was not maintained in patients with diploid cytogenetics. Similarly, time to AML was longer in de novo MDS compared to t-MDS (although similar rates of incidence). All of age, IPSS-R and t-MDS did affect median OS on multivariate analysis. Disclosures Al-Kali: Celgene: Research Funding.

Background: Multiple myeloma (MM) is a heterogeneous disease with varying survival outcomes depending on the presence of certain genetic abnormalities. Common abnormalities include trisomies, translocations involving the chromosome 14, and amplifications or deletions of chromosomes 1, 13, and 17. t(11;14), occurring in 15% of patients with myeloma, had been considered a standard risk abnormality, but recent data suggest inferior outcome. This is important as new therapeutic options such as the BCL-2 inhibitor venetoclax has been shown to be particularly effective in t(11;14) patients. Methods: This was a multicenter study to identify the outcomes of patients with t(11;14), using a retrospectively assembled cohort. Patients with MM diagnosed between 2005 and 2015 with t(11;14) identified on FISH performed within six months of diagnosis, and with treatment details available and if alive, a minimum of 12 months of follow up, were enrolled. Results: The current analysis includes 1216 patients; median age of 62.56 years; 58.7% male. The median follow-up from diagnosis for the entire cohort was 51.9 months; 69.1% of the patients were alive at the last follow up. ISS stage distribution included: Stage I (35.7%), Stage II (34.0%) and Stage III (15.1%), data was missing for the rest. The distribution of concurrent FISH abnormalities included: trisomies (3.5%), del 13q (13.3%), 1q amp (8.8%), and del 17p or monosomy 17 (5.8%). Initial regimen included: 27.2% had an immunomodulatory (IMiD), 45.9% had a proteasome inhibitor (PI), 17.7% had both, and 9.0% had no novel agent. The drug classes by line of therapy are shown in Table 1. An early stem cell transplant (defined as within 12 months of start of first line treatment) was used in 49.4% of patients. The median time to next treatment (TTNT) after starting initial treatment was 26.6 (95% CI: 23.9 to 29.2) months. The median overall survival (OS) from diagnosis for the entire cohort was 95.1 (95% CI: 85.9 to 105.9) months; 4-year estimates for those diagnosed from January 2005 to December 2009, and from January 2010 to December 2014 were 77.5% and 78.6%, respectively. The median OS for those with any one high risk FISH lesion (del 17p/ 1q amp) was 67.5 (55.2, 97.1) versus 101.7 (89.7, 107.3) months. Patients with early SCT (within 12 months of diagnosis) had better OS: 108.3 (103.8, 133.0) vs. 69.8 (61.5, 80.3) months. Conclusion: Patients with t(11;14) without high risk FISH abnormalities have an excellent survival. Patients receiving a PI + IMiD combination and those receiving autologous SCT as part of initial therapy had best survival. Though numbers are limited, patients in the later lines receiving newer drugs such as venetoclax and daratumumab had high response rates and durable responses. Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Bittrich:Celgene: Other: Travel Funding, Research Funding; Else Kröner Fresenius Foundation: Research Funding; Otsuka Pharmaceuticals Europe: Other: N/A; SANOFI Aventis: Membership on an entity's Board of Directors or advisory committees, N/A, Research Funding; University Hospital Wuerzburg: Employment; Bristol Myers Squibb: Research Funding; Pfizer: Other: Travel Funding; AMGEN: Other: Travel Funding; JAZZ Pharmaceuticals: Other: Travel Funding; Wilhelm Sander Foundation: Research Funding; German Research Foundation (DFG): Other: N/A; University of Würzburg: Other: N/A. Goldschmidt:Mundipharma: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; John-Hopkins University: Research Funding; Dietmar-Hopp-Stiftung: Research Funding; Janssen: Consultancy, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MSD: Research Funding; Molecular Partners: Research Funding; John-Hopkins University: Research Funding; Amgen: Consultancy, Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Chugai: Honoraria, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding. Reece:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Otsuka: Research Funding; Amgen: Consultancy, Honoraria, Research Funding; BMS: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Merck: Research Funding. Mateos:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmamar: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria; EDO: Membership on an entity's Board of Directors or advisory committees. Ludwig:Celgene: Speakers Bureau; Amgen: Research Funding, Speakers Bureau; Takeda: Research Funding, Speakers Bureau; PharmaMar: Consultancy; Janssen: Speakers Bureau; BMS: Speakers Bureau. Mangiacavalli:celgene: Consultancy; Amgen: Consultancy; Janssen cilag: Consultancy. Dimopoulos:Sanofi Oncology: Research Funding. Kastritis:Amgen: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Takeda: Honoraria; Pfizer: Honoraria; Prothena: Honoraria; Genesis: Honoraria. Yee:Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Karyopharm: Consultancy; Adaptive: Consultancy. Raje:Amgen Inc.: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene Corporation: Consultancy; Takeda: Consultancy; Janssen: Consultancy; Merck: Consultancy. Rosta:Cornerstone Research Group: Employment. Haltner:Cornerstone Research Group: Employment. Cameron:Cornerstone Research Group: Employment, Equity Ownership. Durie:Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy.

BackgroundSystematic evaluation of complex flow in the true lumen and false lumen (TL, FL) is needed to better understand which patients with chronic descending aortic dissection (DAD) are predisposed to complications.PurposeTo develop quantitative hemodynamic maps from 4D flow MRI for evaluating TL and FL flow characteristics.Study TypeRetrospective.PopulationIn all, 20 DAD patients (age = 60 ± 11 years; 12 male) (six medically managed type B AD [TBAD], 14 repaired type A AD [rTAAD] now with ascending aortic graft [AAo] or elephant trunk [ET1] repair) and 21 age‐matched controls (age = 59 ± 10 years; 13 male) were included.Field Strength/Sequence1.5T, 3T, 4D flow MRI.Assessment4D flow MRI was acquired in all subjects. Data analysis included 3D segmentation of TL and FL and voxelwise calculation of forward flow, reverse flow, flow stasis, and kinetic energy as quantitative hemodynamics maps.Statistical TestsAnalysis of variance (ANOVA) or Kruskal–Wallis tests were performed for comparing subject groups. Correlation and Bland–Altman analysis was performed for the interobserver study.ResultsPatients with rTAAD presented with elevated TL reverse flow (AAo repair: P = 0.004, ET1: P = 0.018) and increased TL kinetic energy (AAo repair: P = 0.0002, ET1: P = 0.011) compared to controls. In addition, TL kinetic energy was increased vs. patients with TBAD (AAo repair: P = 0.021, ET1: P = 0.048). rTAAD was associated with higher FL kinetic energy and lower FL stasis compared to patients with TBAD (AAo repair: P = 0.002, ET1: P = 0.024 and AAo repair: P = 0.003, ET1: P = 0.048, respectively).Data ConclusionQuantitative maps from 4D flow MRI demonstrated global and regional hemodynamic differences between DAD patients and controls. Patients with rTAAD vs. TBAD had significantly altered regional TL and FL hemodynamics. These findings indicate the potential of 4D flow MRI‐derived hemodynamic maps to help better evaluate patients with DAD.Level of Evidence: 3Technical Efficacy Stage: 1J. Magn. Reson. Imaging 2020;51:1357–1368.

Abstract Dynamic susceptibility contrast (DSC) MRI measures of brain tumor cerebral blood volume (CBV) are able to predict grade, overall survival and response to treatment. Wide-spread acceptance of DSC-MRI has been challenged by the need to balance contrast agent dose and CBV accuracy. The goal of this study was to identify and validate single-dose, BTIP compliant, DSC-MRI protocols. Using a validated, patient-based DRO, we evaluated CBV accuracy across a range of acquisition parameters (field strength, TR, TE, flip angle, multi-echo acquisitions, dosing protocols) and post-processing steps. To validate the optimal protocols, we next collected DSC-MRI data following ASFNR’s recommended “double – dose” approach, where a single-dose preload (to minimize T1 effects) is given prior to a second bolus injection (for DSC-MRI data acquisition). The single-dose DSC-MRI data was collected during the preload bolus injection. Consistency of the derived CBV data, visual agreement and data characteristics (e.g. CNR) was statistically evaluated. When using a single-dose and routine single-echo pulse sequence, the DRO analysis found that a low flip angle (LFA = 30o) and 30ms TE provided the highest CBV accuracy (concordance correlation coefficient (CCC) = 0.92) and precision (coefficient of variation (CV) = 8.2%)). For comparison, the maximum accuracy found with the DRO utilizes a double-dose injection protocol and yielded a CCC of 0.98 and CV of 6.8%. Single-dose, multi-echo acquisitions provided higher accuracy than the LFA data and matched that found with the double-dose approach. In patients (data collection ongoing), the agreement between single-dose LFA (n > 40) or multi-echo (n > 40) based CBV values and the reference double-dose approach was very high (CCC > 0.94) and were statistically equivalent. Optimized single-dose DSC-MRI protocols provide highly accurate CBV data, use lower doses of contrast agent, and simplify scan procedures, indicating their potential for robust use in clinical practice and trials.

Abstract Background: The myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET), polycythemia vera (PV) and myelofibrosis (MF) can be characterized by heterogeneous symptoms, disease features, and prognosis. Timely monitoring of blood counts and if needed, referral for discussion of stem cell transplant (SCT), are critical to optimizing survival and quality of life. In connection with the MPN SCT Transplantation Timing Taskforce's (MS3T's) work in developing the DIPPS-based Stem Cell Spectrum Timing Tool, the survey was deployed to explore factors contributing to delayed entry to SCT. National Comprehensive Cancer Network (NCCN) guidelines for MPNs strongly recommend referral to specialized centers with expertise in the management of MPNs (Mesa et. al. 2017). To date, efforts to assess the timing and quality of MPN patient care from the patient's perspective have been minimal. Methods: Patients were recruited from MPN-related Facebook pages, subscribers of MPNforum Magazine and E-mail support groups including the MPN-NET, MPDchat, and the MPN Research Foundation. Hematologists, MPN patients, and advocates constructed the 11-item survey questions and content. The survey was available for patient response between July 4-11th2018. Patients were queried on MPN type, time of diagnosis, and details regarding knowledge of their MPN disease features and care. Data: Demographics.Overall 2382 MPN patients responded to the online survey. Of these, 901 (38%) patients had ET, 865 (36%) had PV, 561 (24%) had MF, 41 (2%) had MPN-unclassifiable or MPN/MDS overlap and 15 (1%) did not respond. Among MF patients, 56% reported having primary MF, 42% secondary MF, 1% prefibrotic MF, and 1% reported having already undergone SCT (1% did not specify type of MF or transplant). The majority of patients were diagnosed with their MPN by a hematology/oncology (77.8%) or family practice (15 %) physician. MPN Care provider and monitoring: Out of all respondents, 35% reported being cared for by an MPN specialist, 36% were not cared for by an MPN specialist and 27% were unsure if their provider was an MPN specialist. Overall less than half (42%) of patients reported having sought a second opinion from an MPN specialist. The majority (87%) of participants knew their mutational status relating to the highly publicized and widely tested JAK2 V617F mutation (73.8%) and CALR (10.2%). However, a statistically insignificant number of patients had any idea of other driving and secondary mutations including MPL, EZH2, SRSF2, IDH1/2 or ASLX-1. Blood counts were reviewed by a hematologist for the majority of patients (93% responded "yes", 4% responded "sometimes", 3% responded "no"). SCT Referral: Among ET and PV, <1% of patients reported being referred to SCT. For MF, 34% of participants reported having been referred for SCT discussion (30% for primary MF and 28% for secondary MF). Conclusions: MPN patients often report receiving care outside of the care of an MPN specialist. Additionally, despite the poor outcomes and higher likelihood of progression to AML, less than a third of patients with secondary MF report being referred for SCT discussion. Independent validation of patient responses, particularly in regards to MPN specialized care and timing of transplant discussion should be investigated further. However, these patient responses suggest many patients may be receiving less than optimal MPN care. These results demonstrate the importance of community hematology/oncology physician and patient education regarding optimal MPN care. Disclosures Mesa: UT Health San Antonio - Mays Cancer Center: Employment; Celgene: Research Funding; Novartis: Consultancy; Incyte Corporation: Research Funding; Pfizer: Research Funding; CTI Biopharma: Research Funding; Genentech: Research Funding; Promedior: Research Funding; NS Pharma: Research Funding; Gilead: Research Funding. Palmer:Novartis: Research Funding. Harrison:Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; CTI BioPharma: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Speakers Bureau. Verstovsek:Italfarmaco: Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Scherber:Gilead: Honoraria.