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.

Objectives: The Ice Hockey Summit III provided updated scientific evidence on concussions in hockey to inform these 5 objectives: (1) describe sport related concussion (SRC) epidemiology; (2) classify prevention strategies; (3) define objective, diagnostic tests; (4) identify treatment; and (5) integrate science and clinical care into prioritized action plans and policy. Methods: Our action plan evolved from 40 scientific presentations. The 155 attendees (physicians, athletic trainers, physical therapists, nurses, neuropsychologists, scientists, engineers, coaches, and officials) voted to prioritize these action items in the final Summit session. Results: To (1) establish a national and international hockey database for SRCs at all levels; (2) eliminate body checking in Bantam youth hockey games; (3) expand a behavior modification program (Fair Play) to all youth hockey levels; (4) enforce game ejection penalties for fighting in Junior A and professional hockey leagues; (5) establish objective tests to diagnose concussion at point of care; and (6) mandate baseline testing to improve concussion diagnosis for all age groups. Conclusions: Expedient implementation of the Summit III prioritized action items is necessary to reduce the risk, severity, and consequences of concussion in the sport of ice hockey.

PurposeThe dose‐averaged linear energy transfer (LETd) for intensity‐modulated proton therapy (IMPT) calculated by one‐dimensional (1D) analytical models deviates from more accurate but time‐consuming Monte Carlo (MC) simulations. We developed a fast hybrid three‐dimensional (3D) analytical LETd calculation that is more accurate than 1D analytical model.MethodsWe used the Geant4 MC code to generate 3D LETd distributions of monoenergetic proton beams in water for all energies and used a customized error function to fit the LETd lateral profiles at various depths to the MC simulation. The 3D LETd calculation kernel was a lookup table of these fitted coefficients, and LETd was determined directly from spot energies and voxel coordinates during analytical dose calculations. We validated our new method by comparing the calculated LETd distributions to MC results using 3D Gamma index analysis with 3%/2 mm criteria in 12 patient geometries. The significance of the improvement in Gamma index analysis passing rates over the 1D analytical model was determined using the Wilcoxon rank‐sum test.ResultsThe passing rate of 3D Gamma analysis comparing LETd distributions from the hybrid 3D method and the 1D method to MC simulations was significantly improved from 94.0% ± 2.5% to 98.0% ± 1.0% (P = 0.0003). The typical time to calculate dose and LETd simultaneously using an Intel Xeon E5‐2680 2.50 GHz workstation was approximately 2.5 min.ConclusionsOur new method significantly improved the LETd calculation accuracy compared to the 1D method while maintaining significantly shorter calculation time even comparing with the GPU‐based fast MC code.

Purpose: To describe and validate the dose calculation algorithm of an independent second-dose check software for spot scanning proton delivery systems with full width at half maximum between 5 and 14 mm and with a negligible spray component. Methods: The analytical dose engine of our independent second-dose check software employs an altered pencil beam algorithm with 3 lateral Gaussian components. It was commissioned using Geant4 and validated by comparison to point dose measurements at several depths within spread-out Bragg peaks of varying ranges, modulations, and field sizes. Water equivalent distance was used to compensate for inhomogeneous geometry. Twelve patients representing different disease sites were selected for validation. Dose calculation results in water were compared to a fast Monte Carlo code and ionization chamber array measurements using dose planes and dose profiles as well as 2-dimensional–3-dimensional and 3-dimensional–3-dimensional γ-index analysis. Results in patient geometry were compared to Monte Carlo simulation using dose–volume histogram indices, 3-dimensional–3-dimensional γ-index analysis, and inpatient dose profiles. Results: Dose engine model parameters were tuned to achieve 1.5% agreement with measured point doses. The in-water γ-index passing rates for the 12 patients using 3%/2 mm criteria were 99.5% ± 0.5% compared to Monte Carlo. The average inpatient γ-index analysis passing rate compared to Monte Carlo was 95.8% ± 2.9%. The average difference in mean dose to the clinical target volume between the dose engine and Monte Carlo was −0.4% ± 1.0%. For a typical plan, dose calculation time was 2 minutes on an inexpensive workstation. Conclusions: Following our commissioning process, the analytical dose engine was validated for all treatment sites except for the lung or for calculating dose–volume histogram indices involving point doses or critical structures immediately distal to target volumes. Monte Carlo simulations are recommended for these scenarios.

Intestinal innate lymphoid cells (ILCs) contribute to the protective immunity and homeostasis of the gut, and the microbiota are critically involved in shaping ILC function. However, the role of the gut microbiota in regulating ILC development and maintenance still remains elusive. Here, we identified opposing effects on ILCs by two Helicobacter species, Helicobacter apodemus and Helicobacter typhlonius , isolated from immunocompromised mice. We demonstrated that the introduction of both Helicobacter species activated ILCs and induced gut inflammation; however, these Helicobacter species negatively regulated RORγt + group 3 ILCs (ILC3s), especially T-bet + ILC3s, and diminished their proliferative capacity. Thus, these findings underscore a previously unknown dichotomous regulation of ILC3s by Helicobacter species, and may serve as a model for further investigations to elucidate the host–microbe interactions that critically sustain the maintenance of intestinal ILC3s.

Abstract Objective To design, develop, and evaluate a scalable clinical data normalization pipeline for standardizing unstructured electronic health record (EHR) data leveraging the HL7 Fast Healthcare Interoperability Resources (FHIR) specification. Methods We established an FHIR-based clinical data normalization pipeline known as NLP2FHIR that mainly comprises: (1) a module for a core natural language processing (NLP) engine with an FHIR-based type system; (2) a module for integrating structured data; and (3) a module for content normalization. We evaluated the FHIR modeling capability focusing on core clinical resources such as Condition, Procedure, MedicationStatement (including Medication), and FamilyMemberHistory using Mayo Clinic’s unstructured EHR data. We constructed a gold standard reusing annotation corpora from previous NLP projects. Results A total of 30 mapping rules, 62 normalization rules, and 11 NLP-specific FHIR extensions were created and implemented in the NLP2FHIR pipeline. The elements that need to integrate structured data from each clinical resource were identified. The performance of unstructured data modeling achieved F scores ranging from 0.69 to 0.99 for various FHIR element representations (0.69–0.99 for Condition; 0.75–0.84 for Procedure; 0.71–0.99 for MedicationStatement; and 0.75–0.95 for FamilyMemberHistory). Conclusion We demonstrated that the NLP2FHIR pipeline is feasible for modeling unstructured EHR data and integrating structured elements into the model. The outcomes of this work provide standards-based tools of clinical data normalization that is indispensable for enabling portable EHR-driven phenotyping and large-scale data analytics, as well as useful insights for future developments of the FHIR specifications with regard to handling unstructured clinical data.

AbstractBackgroundInappropriate sinus tachycardia (IST) remains a clinical challenge because patients often are highly symptomatic and not responsive to medical therapy.ObjectiveTo study the safety and efficacy of stellate ganglion (SG) block and cardiac sympathetic denervation (CSD) in patients with IST.MethodsTwelve consecutive patients who had drug‐refractory IST (10 women) were studied. According to a prospectively initiated protocol, five patients underwent an electrophysiologic study before and after SG block (electrophysiology study group). The subsequent seven patients had ambulatory Holter monitoring before and after SG block (ambulatory group). All patients underwent SG block on the right side first, and then on the left side. Selected patients who had heart rate reduction ≥15 beats per minute (bpm) were recommended to consider CSD.ResultsThe mean (SD) baseline heart rate (HR) was 106 (21) bpm. The HR significantly decreased to 93 (20) bpm (P = .02) at 10 minutes after right SG block and remained significantly slower at 97(19) bpm at 60 minutes. Left SG block reduced HR from 99 (21) to 87(16) bpm (P = .02) at 60 minutes. SG block had no significant effect on blood pressure or HR response to isoproterenol or exercise (all P > .05). Five patients underwent right (n = 4) or bilateral (n = 1) CSD. The clinical outcomes were heterogeneous: one patient had complete and two had partial symptomatic relief, and two did not have improvement.ConclusionSG blockade modestly reduces resting HR but has no significant effect on HR during exercise. Permanent CSD may have a modest role in alleviating symptoms in selected patients with IST.

Pontocerebellar hypoplasia (PCH) is a group of neurological disorders that affect the development of the brain, in particular, the pons and cerebellum. Homozygous mutations of TBC1D23 have been found recently to lead to PCH; however, the underlying molecular mechanisms remain unclear. Here, we show that the crystal structure of the TBC1D23 C-terminal domain adopts a Pleckstrin homology domain fold and selectively binds to phosphoinositides, in particular, PtdIns(4)P, through one surface while binding FAM21 via the opposite surface. Mutation of key residues of TBC1D23 or FAM21 selectively disrupts the endosomal vesicular trafficking toward the Trans-Golgi Network. Finally, using the zebrafish model, we show that PCH patient-derived mutants, impacting either phosphoinositide binding or FAM21 binding, lead to abnormal neuronal growth and brain development. Taken together, our data provide a molecular basis for the interaction between TBC1D23 and FAM21, and suggest a plausible role for PtdIns(4)P in the TBC1D23-mediating endosome-to-TGN trafficking pathway. Defects in this trafficking pathway are, at least partially, responsible for the pathogenesis of certain types of PCH.

Abstract Background: Although approximately half of adult patients with acute lymphoblastic leukemia (ALL) achieve long-term survival, those who relapse have poor long-term outcomes (El Fakih et al. Hematol Oncol Stem Cell Ther. 2017; Oriol et al. Haematologica. 2010). The initial report of Phase 1 of ZUMA-3, the Phase 1/2 trial of KTE-C19 for treatment of relapsed/refractory (R/R) ALL (NCT02614066), has thus far demonstrated promising efficacy among patients infused with KTE-C19, with a 71% complete remission (CR) rate (CR or CR with incomplete hematologic recovery [CRi]), 88% undetectable minimal residual disease (MRD), and manageable toxicity across all doses (Shah et al. ASH 2017. #888). Here, we present updated safety and efficacy data from Phase 1 of ZUMA-3. Methods: Adult patients (≥ 18 y) with R/R ALL (Ph+ allowed), > 5% bone marrow blasts, and ECOG 0-1 received 2, 1, or 0.5 × 106 CAR T cells/kg after low-dose conditioning chemotherapy with fludarabine 25 mg/m2/day for 3 days and a single dose of cyclophosphamide 900 mg/m2 on the third day of conditioning. The primary endpoint for Phase 1 was incidence of dose-limiting toxicities (DLTs). Key secondary endpoints included incidence and time to onset and resolution of adverse events (AEs), rate of undetectable MRD remission in the bone marrow using flow cytometry, and duration of remission. KTE-C19 expansion and persistence were also assessed. Safety analyses included all patients who received KTE-C19, and patients with ≥ 2 months of follow-up were evaluated for efficacy. Results: As of April 12, 2018, 35 patients have received KTE-C19 with a median follow-up of 11 months (range, 2 - 25 months). The median age was 40 years (range, 18 - 69 years), 51% of patients were male, 66% had ECOG 1, 13 patients (37%) had prior blinatumomab, and 60% had received ≥ 3 prior lines of treatment. The median bone marrow blast burden at screening was 70% (range, 5 - 100). Six patients received the 2 × 106 cells/kg dose, 14 received 1 × 106 cells/kg, and 15 received 0.5 × 106 cells/kg. No DLTs were observed in the DLT period. The most common Grade ≥ 3 AEs were hypotension (40%), pyrexia (34%), decreased platelet counts (34%), and anemia (31%). Grade ≥ 3 CRS occurred in 9 patients (26%), with a median time to onset of 5 days (range, 1 - 15 days). There were 2 KTE-C19-related Grade 5 events: 1 cerebral infarction at the 0.5 × 106 cells/kg dose and 1 previously reported multiorgan failure secondary to cytokine release syndrome (CRS) at the 2 × 106 cells/kg dose. Grade ≥ 3 CRS resolved in all patients (not including 2 patients with a Grade 5 event), and the median time to resolution was 11 days (range, 7 - 42 days). Grade ≥ 3 treatment-emergent neurologic events occurred in 16 patients (46%), and the median time to onset was 7 days (range, 4 - 24 days). With the exception of 2 patients with unresolved neurologic events due to death, Grade ≥ 3 neurologic events resolved in all patients (14/14), with a median time to resolution of 17 days (range, 6 - 53 days). Among the 32 patients evaluable for response, the overall rate of undetectable MRD was 78% (95% CI, 60% - 91%). CR or CRi was achieved by 23 patients (72%), and 1 patient (3%) had blast-free BM. KTE-C19 levels were examined in 23 patients as of July 31, 2017. Robust KTE-C19 expansion was observed across all dose levels assessed. Conclusion: High rates of remission were achieved by adult patients with R/R ALL, with approximately three-quarters of patients achieving CR or CRi with undetectable MRD after a single dose of KTE-C19 in ZUMA-3. The safety profile was generally manageable, and most cases of high-grade CRS and neurologic events resolved. These results demonstrate that KTE-C19 offers clinical benefit for patients with otherwise limited treatment options. Disclosures Wierda: AbbVie, Inc: Research Funding; Genentech: Research Funding. Bishop:United Healthcare: Employment; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Speakers Bureau; Juneau Therapeutics: Speakers Bureau; Novartis Pharmaceuticals Corporation: Speakers Bureau. Logan:Adaptive Biotech: Consultancy; Napajen: Consultancy; Shire: Consultancy; Pfizer: Consultancy; Novartis: Consultancy, Research Funding; Incyte: Consultancy; Jazz Pharmaceuticals: Consultancy, Research Funding; Amgen: Consultancy; Astellas: Research Funding; Pharmacyclics: Research Funding; Kite: Research Funding. Schiller:Astellas Pharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; bluebird bio: Research Funding. Holmes:Unum: Research Funding; Seattle Genetics: Research Funding, Speakers Bureau; Novartis: Research Funding; Genentech: Research Funding; Celgene: Research Funding; Rigel: Consultancy; Gilead: Consultancy, Research Funding, Speakers Bureau; Bayer: Consultancy. Abedi:Seattle Genetics: Speakers Bureau; Celgene: Speakers Bureau; Amgen: Research Funding; CIRM: Research Funding; BMS: Speakers Bureau; Takeda: Speakers Bureau; Gilead: Speakers Bureau; Celgene: Research Funding. Arellano:Cephalon: Research Funding. Pagel:Pharmacyclics, an AbbVie Company: Consultancy; Gilead: Consultancy. Mardiros:Kite, a Gilead Company: Employment; Kite, a Gilead Company: Equity Ownership; Mustang Bio: Patents & Royalties; Kite, a Gilead Company: Other: TRAVEL, ACCOMMODATIONS, EXPENSES. Shen:Zhejiang DTRM Biopharma LLC: Other: Clinical Operations Director. Vezan:Kite Pharma: Employment; Kite, Gilead, Abbv, MRK: Equity Ownership. Jain:Kite Pharma, Amgen: Equity Ownership; Kite Pharma: Employment; Kite Pharma: Patents & Royalties.