dataesr/scientific-paragraphs-categorization huggingface dataset:
Prev. Cessation 2018;4(Supplement): A77 DOI: 10. 18332/tpc/90464 Funding This project has received funding from the  European Union 's  Horizon 2020 research and innovation programme  under grant Funding This work was supported by a grant from the  European Commission  ( Horizon2020 HCO-6-2015 ;  EUREST-PLUS: 681109 ; Vardavas). Tob. Prev. Cessation 2018;4(Supplement):A80 Funding This work is supported by  H2020  funding from the  European Union  and by a  PHE -funded PhD studentship. Tob. Prev. Cessation 2018;4(Supplement): A83 DOI: 10. 18332/tpc/90427 Funding The research had no funding. Tob. Prev. Cessation 2018;4(Supplement):A91 Funding This project was funded by the  European Community 's  Seventh Framework Programme  (The  EQUIPT  Project; grant agreement  602270 ). The funders had no influence in the conduction of this study or the drafting of this manuscript.
Tob. Prev. Cessation 2018;4(Supplement):A95 Funding This study was supported by  Global Bridges Healthcare Alliance for Tobacco Dependence Treatment  hosted by  Mayo Clinic  and  Pfizer Independent Grants for Learning and Change. Tob. Prev. Cessation 2018;4(Supplement):A96 Funding This study (SILNE-R) is supported by  EU Horizon 2020  (grant agreement  635056 ). Funding Part-funded by  UEFA Tob. Prev. Cessation 2018;4(Supplement):A107 Funding This work is funded by the  European Union 's  Horizon 2020 Research and Innovation Programme  (The  TackSHS  Project; grant agreement:  681040 ) Tob. Prev. Cessation 2018;4(Supplement):A108 Funding This work is supported by a  George D. Behrakis Foundation  Grant. Tob. Prev. Cessation 2018;4(Supplement): A109 DOI: 10. 18332/tpc/90472 Funding This document was developed under the Project TackSHS that received funding from the  European Union 's  Horizon 2020 research and innovation programme  under grant agreement No  681040.
Tob. Prev. Cessation 2018;4(Supplement): A110 DOI: 10. 18332/tpc/90486 Funding Research and service funding comes from the  Walloon Plan against Tobacco  (Official Belgium regional Health public sector). Tob. Prev. Cessation 2018;4(Supplement): A111 DOI: 10. 18332/tpc/90520 Funding This work was supported by the  Instituto de Salud Carlos III, Subdirección General de Evaluación y Fomento de la Investigación, Government of Spain  ( PI15/02146 ). The  Heart Healthy Hoods project  was funded by the  European Research Council  under the European Union's  Seventh Framework Programme  (FP7/2007-2013/ ERC Starting Grant  HeartHealthyHoods Agreement no. 623 336893 ). The funding sources have not any involvement in Funding The EUREST-PLUS Study takes place with the financial support of the  European Commission ,  Horizon 2020 HCO-6-2015 program  ( EUREST-PLUS: 681109 ;  C.
Vardavas ) and the  University of Waterloo (GT. Fong). Additional support was provided to the  University of Waterloo  by the  Canadian Institutes of Health Research  ( FDN-148477 ). GT. Fong was supported by a  Senior Investigator Grant  from the  Ontario Institute for Cancer Research. Tob. Prev. Cessation 2018;4(Supplement): A113 DOI: 10. 18332/tpc/90653 Funding Non smoking week is founded by the  Spanish Society of Family and Community Medicine semFYC and The Health Minister of Spain Tob. Prev. Cessation 2018;4(Supplement):A117 Funding The Dutch Alliance for a Smokefree Society is founded and funded by the  Dutch Cancer Society, Heart Foundation and Lung Foundation. This abstract concerns a policy/advocacy presentation. Tob. Prev. Cessation 2018;4(Supplement):A119 Funding No conflict of interest.
Tob. Prev. Cessation 2018;4(Supplement):A141 Funding This research was supported by the  Spanish Ministry of Economy and Competitiveness  (Project reference:  PSI2015-66755-R ) and co-financed by  FEDER  ( European Regional Development Fund ; pluri-annual plan 2014-2020). Tob. Prev. Cessation 2018;4(Supplement): A142 DOI: 10. 18332/tpc/90394 Funding This research was supported by the  Spanish Ministry of Economy and Competitiveness  (Project reference:  PSI2015-66755-R ) and co-financed by  FEDER  ( European Regional Development Fund ; pluri-annual plan 2014-2020). Tob. Prev. Cessation 2018;4(Supplement):A143 Funding This study has been funded by  Global Bridges Mayo Clinic  (Pfizer Medical Group; GB-13520139:  Development and Dissemination of a Tobacco Cessation Training Program  for Healthcare Professionals in Spanish-speaking Countries).
Moreover, CM and EF are also funded by the  Spanish Government (Instituto de Salut Carlos III , grant  PI15-00875 ) and the  Catalan Government  ( Xarxa Catalana d'Hospitals sense fum, Agència de Salut Pública de Catalunya , contracte N o 2015VAR171) Tob. Prev. Cessation 2018;4(Supplement): A146 DOI: 10. 18332/tpc/90474 Funding This work was funded by the  Europe Commission under Horizon 2020. Tob. Prev. Cessation 2018;4(Supplement):A150 Funding Funded by  European Commission   Horizon 2020 programme. Tob. Prev. Cessation 2018;4(Supplement):A151 Funding This research is funded by  Bloomberg Philanthropies  and the Funding Funding This document was developed under the Project TackSHS that received funding from the  European Union 's Horizon 2020 Funding This document was developed under the Project TackSHS that received funding from the  European Union 's  Horizon 2020 research and innovation programme  under grant agreement No  681040.
Tob. Prev. Cessation 2018;4(Supplement): A157 DOI: 10. 18332/tpc/90491 Funding This document was developed under the Project TackSHS that received funding from the  European Union 's  Horizon 2020 research and innovation programme  under grant agreement No  681040. Tob. Prev. Cessation 2018;4(Supplement): A158 DOI: 10. 18332/tpc/90492 Funding This work was supported by  Delegación del Gobierno para el Plan Nacional sobre Drogas  ( PNSD 2016I025 ) and Fundación Funding The research was funded by  Institute for Global Tobacco Control (IGTC)  based at the  Johns Hopkins Bloomberg School of Public Funding The Catalan Network of Smokefree Hospitals  is partially funded by the  Government of Catalonia  through the  Public Health Agency of Catalonia  (contract  SA-2017-N111 ). Tob. Prev. Cessation 2018;4(Supplement):A169 Funding The XCHsF is partially funded by the  Government of Catalonia  through the  Public Health Agency of Catalonia  (contract  SA-2017-N111 ).
Tob. Prev. Cessation 2018;4(Supplement):A170 Funding This project receiving funding from  Global Bridges/Pfizer  Independent Grant for Learning and Change European Grant Program. Tob. Prev. Cessation 2018;4(Supplement):A171 Funding This research was supported by the  Spanish Department of Economy and Competitiveness  ( PSI2011-26819 ). Tob. Prev. Cessation 2018;4(Supplement): A174 DOI: 10. 18332/tpc/90540 Funding The study constitutes part of  Mateusz Zatonski 's PhD research, which is funded by the  UK Economic and Social Research Council. Funding This study was supported by  Southeast Asia Tobacco Control Alliance (SEATCA). Tob. Prev. Cessation 2018;4(Supplement): A179 DOI: 10. 18332/tpc/90299 Funding This survey was supported by the  World Health Organization. Tob. Prev. Cessation 2018;4(Supplement):A183 Funding This work is funded by  Horizon 2020 , and  Public Health England Tob.
Prev. Cessation 2018;4(Supplement): A184   Funding Funding Instituto de Salud Carlos III, Subdirección General de Evaluación y Fomento de la Investigación ,  PN I+D+I 2008-2011 , cofunded by the  European Regional Development Fund (FEDER), Government of Spain  (grants  PI15/00434  and  PI15/00291 ). Tob. Prev. Cessation 2018;4(Supplement): A193 DOI: 10. 18332/tpc/91510 Funding This study has been founded by  Tobacco Group of Spanish Society of Family and Community Medicine (SPAIN) Tob. Prev. Cessation 2018;4(Supplement): A195 DOI: 10. 18332/tpc/90439 Funding This work was supported by a grant from the  European Commission  ( Horizon2020 HCO-6-2015 ;  EUREST-PLUS: 681109 ; Vardavas). Tob. Prev. Cessation 2018;4(Supplement): A197 DOI: 10. 18332/tpc/90414 Funding The tobacco tax program and the survey was supported by  Bill and Melinda Gates Foundation Tob.
Prev. Cessation 2018;4(Supplement): A199 DOI: 10. 18332/tpc/90703 Funding This project was funded by  Southeast Asia Tobacco Control Alliance (SEATCA)  and  World Health Organization (WHO). Tob. Prev. Cessation 2018;4(Supplement):A201 Funding This study was supported by  Southeast Asia Tobacco Control Alliance (SEATCA). Tob. Prev. Cessation 2018;4(Supplement): A203 DOI: 10. 18332/tpc/90487 Funding Project funded by the  French National Cancer Institute -INCa Tob. Prev. Cessation 2018;4(Supplement): A205 DOI: 10. 18332/tpc/90421 Funding This work was supported by the  Instituto de Salud Carlos III  ( Institute of Health Carlos III, ISCiii ) of the  Ministry of Economy and Competitiveness (Spain)  through the  Network for.
EUREST-PLUS Study takes place with the financial support of the European Commission, Horizon 2020 HCO-6-2015 program (EUREST-PLUS: 681109; C. Vardavas) and the University of Waterloo (GT. Fong). Additional support was provided to the University of Waterloo by the Canadian Institutes of Health Research (FDN-148477). GT. Fong was supported by a Senior Investigator Grant from the Ontario Institute for Cancer Research. Tob. Prev. Cessation 2018;4(Supplement):A187 DOI: 10. 18332/tpc/90647 Introduction To make district a smoke model.
These samples are referred to as "before hot pressing". In the final synthesis step, each composition was hot-pressed for 20 min at 875 °C and 80 MPa using a homebuilt hot-press. These samples are referred to as "after hot pressing". The densified Cu containing ingots were found to have >98% of the theoretical density, whereas the TiNiSn sample was 92% dense. 2. 2. Structural Studies. Laboratory X-ray powder diffraction (PXRD) data were collected on a Bruker D8 ADVANCE diffractometer with Cu Kα 1 radiation. Long scans (8 h) suitable for Rietveld analysis were collected between 10 ≤ 2θ ≤ 120°and binned with a 0. 01°step size. Neutron powder diffraction (NPD) data were collected on the Polaris instrument at the ISIS facility, Rutherford Appleton Laboratory, UK. Finely ground powders (1-2 g) were loaded into cylindrical V cans, and data were collected for 200-400 μA h proton beam current to the ISIS target, corresponding to 1.
5-3 h measurement time. The neutron scattering lengths are b Ti = -3. 4 fm, b Ni = 10. 3 fm, b Cu = 7. 72 fm, and b Sn = 6. 2 fm. Rietveld analysis was undertaken using the GSAS and EXPGUI programs. 31, 32 Scanning electron microscopy and elemental mapping were done using a Quanta 650 FEG scanning electron microscope operated at 20 kV and equipped with an energy-dispersive X-ray spectroscopy (EDX) Oxford Instruments X-Max 150 N detector. Prior to analysis, the samples were polished using fine Al 2 O 3 sandpaper down to 0. 3 μm roughness. Transmission electron microscopy (TEM) and scanning TEM (STEM) were performed on a JEOL JEM-ARM200cF instrument equipped with a cold field-emission gun operating at 200 kV. Crosssectional samples for TEM were milled directly from the hot-pressed pellets using an FEI Nova NanoLab focused ion beam system, yielding lamella that were typically 50-100 nm thick.
These were then mounted onto Cu support grids that produced a weak Cu signal in EDX spectra because of secondary scattering; in contrast, the sample described in Figure  S6  was mounted on an Al grid to avoid this problem so that the Cu content could be determined more accurately. STEM-EDX analysis was performed using a Bruker X-Flash detector, and background-subtracted K α peaks were used for compositional analysis. The microscope is also equipped with a Gatan 965 Quantum ER spectrometer for electron energy loss spectroscopy (EELS). EELS elemental analysis was performed using the L 2,3 edges of Ti, Ni, and Cu and the M 4,5 edge of Sn. Spectra were deconvolved to remove plural scattering effects, background-subtracted, and analyzed using the cross-sectional data within DigitalMicrograph. The accuracy of absolute quantification of compositions using EELS is estimated to be of order 5%.
RESULTS 3. 1. Crystal Structure from Diffraction. Structural information on the average structure of the TiNiCu y Sn samples was obtained from PXRD and NPD, whereas the spatial distribution of the excess metals was investigated using STEM. The crystal structure of TiNiSn (F4̅ 3m space group; lattice parameter, a ≈ 5. 95 Å) consists of a face centered cubic Sn lattice with Ni occupying half the available tetrahedral sites and Ti in all octahedral sites (inset of Figure  1b ). Filling the vacant tetrahedral sites fully results in the FH structure (e. g. , TiNi 2 Sn with a ∼6. 1 Å and a higher Fm3̅ m space group symmetry). The PXRD data show only HH reflections for y ≤ 0. 10, whereas both HH and FH peaks are present for larger y values (Figures  1a  and S1 ). The samples of thermoelectric interest have y ≤ 0.
* S Supporting Information The Supporting Information is available free of charge on the ACS Publications website at DOI: 10. 1021/acsami. 7b14525. Tables with crystallographic information and Hall data; PXRD patterns for all TiNiCu y Sn samples; Rietveld fits to NPD data on selected TiNiCu y Sn samples before and after hot pressing; SEM and EDX elemental maps; additional TEM data on the y = 0. 1 and y = 0. 25 samples; and thermal diffusivity, heat capacity, Pisarenko plot, SPB analysis, Lorenz number and electronic thermal conductivity for the TiNiCu y Sn samples (PDF).
Introduction: This review aimed to describe the evidence on clinical screening and prognostic relevance of nutritional status evaluated by Mini Nutritional Assessment (MNA Ò ) in chronic obstructive pulmonary disease (COPD) patients. Methods: A comprehensive literature search in major electronic databases, including MEDLINE, EMBASE, Web of Science, and Cochrane Database of Systematic Reviews, irrespective of date and language was performed by two independent reviewers. Published prospective and cross-sectional studies of patients diagnosed according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria, that evaluated nutritional status by the full or short MNA Ò tool were included. Results: All of the 27 relevant search hits were included (22 focused on COPD patients, 1 on pulmonology ward patients, 1 on assisted living facility residents, and 3 on community dwelling older adults).
Methods: All randomised control trials (RCT) in systematic reviews with 'delirium' in their title on the Cochrane Database were assessed. Patient gender and exclusion criteria were also recorded. These were compared to prevalence studies of delirium and assessed for discrepancies. Results: 45 RCTs were identified, 38 of which were eligible for inclusion, comprising 16,276 participants. The mean age of patients was 71. 7 years, at least 6 years younger than the mean age of patients Introduction: Delirium is a frequent clinical complication in elderly people. The objective of this study was to evaluate the prevalance of delirium and its relationship with anticholinergic burden in patients with dementia admitted in LTC facilities. Methods: A prospective observational study was performed in seven ANASTE LTC facilities over a 2-month period.
P-18 Methods to assess patient preferences in geriatric pharmacotherapy-a systematic review Introduction: When trying to individualize geriatric pharmacotherapy the elucidation of the older patient's treatment and outcome preferences should be considered during the prescription process. A systematic review was conducted to identify methods used to explore patient preferences in old age pharmacotherapy and to evaluate their appropriateness in the context of multi-morbidity. Methods: We searched three electronic databases (PubMed, Web of Science, PsycINFO) for studies reported in English or German. Studies were eligible for inclusion if they assessed individual treatment and outcome preferences in a population aged C 65 years or with a mean/median age of C 75 years. The current review focused on long-term pharmacological treatment options.
Introduction: The process of aging is associated with altered pharmacokinetics (PK) and pharmacodynamics (PD) of many drugs. Dosing strategies derived from studies including younger and/or healthy individuals might not be appropriate. The aim of our study was to evaluate the frequency of optimal initial vancomycin dosing (with regard to the PK/PD parameters, i. e. the ratio of area under the concentration versus time curve to the minimum inhibitory concentration) in University Hospital Olomouc and to identify covariates enabling to predict optimal individual dosage regimen. Patients and methods: A retrospective analysis of vancomycin plasma levels determined during a 5-year period in patients aged C 65 years treated with i. v. vancomycin was performed. Pharmacokinetic modelling using MWPharm++ software was performed to assess individual PK/PD indices.
P-43 Non-adherence to antidepressants among older patients with depression: a longitudinal cohort study in primary care Richard Oude Voshaar 1 , Hans Wouters 1 , Floor Holvast 1 , Karin Hek 2 , Francois Schellevis 2 , Huibert Burger 1 , Peter Verhaak 1 1 RUG, UMCG, Utrecht, The Netherlands, 2 NIVEL, Utrecht, The Netherlands Background: Depression is common among older adults and is typically treated with antidepressants. Adherence is important for antidepressants to be effective. We aimed to determine the non-adherence rates to antidepressants among older adults in primary care, based on non-initiation, suboptimal implementation or nonpersistence. Methods: We selected all patients aged C 60 years and diagnosed with depression in 2012, from the NIVEL Primary Care Database. Non-adherence was divided into three components: non-initiation was defined as no dispensing within 14 days of the first prescription; suboptimal implementation, as fewer than 80% of the days covered by dispensed dosages; and non-persistence, as discontinuation within 294 days after first dispense.
92, 95% CI 0. 84-1. 01, p = 0. 092). Key conclusions: Lower SES is independently associated with MRH due to non-adherence, but not ADR. This association might be mediated by lower health literacy in patients with low SES. References:  Davies JG, Schiff R, Cammen T Van Der et al (2018)  Incidence and cost of medication harm in older adults following hospital discharge: a multicentre prospective study in the UK. Br J Clin Pharmacol (in press) 2. Guthrie B (2011) High risk prescribing in primary care patients particularly vulnerable to adverse drug events: cross sectional population database analysis in Scottish general practice. BMJ 342:d3514 3. Stevenson J, Parekh N, Ali K, Timeyin J,  Bremner S, Van Der Cammen T et al (2016)  Protocol for a prospective  (P)  study to develop a model to stratify the risk (RI) of medication (M) related harm in hospitalized elderly (E) patients in the UK (The PRIME study).
BMC Introduction: Falls are a major health problem in older adults and are often associated with prescription drug use  [1]. In many fall-risk increasing drugs large differences in the required doses can be due to genetic polymorphisms in drug-metabolizing enzymes  [2]. We analyzed the drug-related risk of falling in community-dwelling elderly and the potential pharmacogenetic impact. Methods: Data of the ActiFE Ulm study were analyzed  [3]. Participants were grouped as fallers and non-fallers according to a prospective recording over 1 year using fall calendars. Characteristics and use of drugs was compared using logistic regression analysis. Those drugs significantly associated with falls were classified according to their dependence on highly variable metabolism and transport based on information in drug labels and the pharmacogenomics databases.
Methods Data is collected from The Norwegian prescription registry which is nationwide and includes all pharmacy dispensings. A case from Norwegian Medicines Agency adverse drug reaction database is presented. Results: Changes in the dispensing of oral anticoagulants from 2012 to 2017 (%): warfarin 18. 87-9. 71, dabigatran 0. 82-2. 49, rivaroxaban: 0. 27-5. 83, apixaban: 0. 07-10. 23 and edoxaban: 0. 00-0. 08. Changes in the age group  [85] [86] [87] [88] [89] [90]. We received a report about an 87-year-old woman using dabigatran who 9 days after the start of Helicobacter Pylori eradication treatment with clarithromycin, amoxicillin and pantoprazole, was admitted to hospital. She had acute on chronic kidney failure and INR (international normalized ratio) was very high, a sign of dabigatran accumulation suspected caused by drug-drug (dabigatran-clarithromycin) and drug-disease (dabigatran-kidney failure) interactions.
EudraCT code: 2015-004482-88. The main exclusion criteria were: admission [ 120 h after surgery, dementia, renal failure, haematological abnormalities or chronic analgesic treatment. Results: Patients potentially included in RCT: 297. Age 86. 5 (± 6. 3) years old. Female 212 (71. 4%). Patients excluded: 267 (89. 9%). Reasons for exclusion: dementia, 100 (37. 5%); renal failure, 62 (23. 2%); [ 120 h after surgery, 52 (19. 5%); chronic analgesic treatment, 25 (9. 4%); haematological abnormalities, 10 (3. 7%); other 18 (6. 8%). Conclusions: Our attempt to carry out this RCT has been unsuccessful mostly because nearly 90% of patients that could be included met at least one exclusion criteria. Our experience supports that older patient's inherent features often exclude them from participating in RCTs, and therefore remain under-represented in clinical research.
Patient's resilience, their anxiety and wellbeing evaluation should be taken into account in shared decisions making about whether or not to undergo surgery. References: Databases were searched using the following term (elderly hip fracture, mechanical prophylaxis, DVT, barriers). We included all full papers with English Version. Also we excluded studies that were published only in abstract form. Results: Recent studies show that disparate percentage of patient's non-compliance and adherent to mechanical prophylaxis. Too much pressure, pump activated too frequently, feet feel too hot and disturbed sleep patterns are barriers for mechanical prophylaxis. Skin breakdown and oedematous state is considered as a major problem in elderly patients. There are hospital factors, that include availability and timely replacement of mechanical prophylaxis.
P-140 Sarcopenia and osteoporosis are interrelated in geriatric inpatients and associated with poor nutritional and functional state Jens Reiss Introduction: Sarcopenia and osteoporosis have common underlying pathology and reinforce each other in terms of adverse outcomes. We looked into the degree of overlap between sarcopenia and osteoporosis in geriatric inpatients from the Sarcopenia in Geriatric Elderly (SAGE) study. Methods: All geriatric inpatients from SAGE whose dataset allowed for the diagnosis of sarcopenia (EWGSOP definition) and osteoporosis (WHO definition) were included. In addition to dual energy X-ray absorptiometry derived muscle mass and bone mineral density, functional (gait speed, hand grip, Barthel index) and nutritional characteristics (mini nutritional assessment short form (MNA-SF), body mass index (BMI)) were measured for comparison between sarcopenic, osteoporotic osteosarcopenic and normal (reference group).
P-141 Association between gait speed with mortality, cardiovascular disease and cancer: a systematic review and meta-analysis of prospective cohort studies Brendon Stubbs 1 , Alberto Pilotto 2 , Emanuele Cereda 3 , Nicola Veronese 4   1   King's College London, London, UK, 2 EO Galliera Genova, Genoa, Italy, 3 Fondazione IRCCS Policlinico San Matteo, Pavia, Italy, 4 Consiglio Nazionale delle Ricerche, Padua, Italy Introduction: Slow gait speed is associated with premature mortality, cardiovascular disease (CVD) and cancer, although a comprehensive meta-analysis is lacking. In this systematic review and meta-analysis, we explored potential associations between gait speed and mortality, CVD and cancer. Methods: A systematic search in major databases was undertaken until March 15th 2018 for prospective cohort studies reporting data on gait speed and mortality, incident CVD and cancer.