Prevalence, predictors, and prognostic implications of residual impairment of functional capacity after transcatheter aortic valve implantation

Background: Patients with degenerative aortic stenosis (AS) referred for transcatheter aortic valve implantation (TAVI) typically have advanced cardiac and vascular adverse remodeling and multiple comorbidities and, therefore, might not recover a normal functional capacity after valve replacement. We sought to investigate the prevalence, the predictors, and the prognostic impact of residual impairment of functional capacity after TAVI. Methods and results: Out of 790 patients undergoing TAVI with impaired functional capacity (NYHA II–IV

Evaluation of the XIENCE TM V everolimus-eluting coronary stent system in the female latin american population of the SPIRIT Women single-arm study: one-year clinical follow-up data

INTRODUÇÃO: Os estudos com stents farmacológicos têm avaliado predominantemente populações masculinas de descendência europeia. O estudo de braço único SPIRIT Women avalia o stent eluidor de everolimus XIENCE TM V em lesões de novo complexas em uma população feminina do mundo real, incluindo pacientes latino-americanas. Esta análise permite compreender como essa população responde ao implante de stent, comparativamente a pacientes não-latino-americanas. MÉTODOS: Das 1.572 pacientes matriculadas em 73 locais fora dos Estados Unidos, 138 (9%) foram recrutadas na Argentina, no Brasil e na Venezuela. RESULTADOS: As lesões-alvo tinham diâmetro de referência do vaso entre 2,25 mm e 4 mm e extensão da lesão ≤ 28 mm. As características basais foram semelhantes entre os grupos, com exceção de maior prevalência de hipertensão arterial, infarto do miocárdio (IM) de parede anterior e história familiar de doença arterial coronária na coorte latino-americana. As lesões tendiam a ser mais complexas em mulheres latino-americanas, com menor diâmetro de referência do vaso-alvo, maior extensão da lesão, maior excentricidade e angulação e mais lesões tipo B2/C. Os eventos foram adjudicados de acordo com as definições do Academic Research Consortium. Em um ano, o desfecho combinado de morte por todas as causas, IM e revascularização do vaso-alvo (RVA) foi de 12,1% na população não-latino-americana e de 10,1% na população latino-americana (P = 0,58). CONCLUSÕES: Em um ano, os baixos índices de eventos cardíacos adversos, incluindo trombose do stent, falha da lesão-alvo, morte cardíaca, IM e RVA nas mulheres latino-americanas foram comparáveis aos das mulheres não-latino-americanas, apesar da maior complexidade das lesões. Esses resultados demonstram a segurança e a eficácia do stent XIENCE TM V nessa pequena coorte de pacientes latino-americanas, à semelhança do que é observado com populações maiores e mais variadas

Morphological Interpretation of Reflectance Spectrum (MIRS) using libraries looking towards soil classification

The search for tools to perform soil surveying faster and cheaper has led to the development of technological innovations such as remote sensing (RS) and the so-called spectral libraries in recent years. However, there are no studies which collate all the RS background to demonstrate how to use this technology for soil classification. The present study aims to describe a simple method of how to classify soils by the morphology of spectra associated with a quantitative view (400-2,500 nm). For this, we constructed three spectral libraries: (i) one for quantitative model performance; (ii) a second to function as the spectral patterns; and (iii) a third to serve as a validation stage. All samples had their chemical and granulometric attributes determined by laboratory analysis and prediction models were created based on soil spectra. The system is based on seven steps summarized as follows: i) interpretation of the spectral curve intensity; ii) observation of the general shape of curves; iii) evaluation of absorption features; iv) comparison of spectral curves between the same profile horizons; v) quantification of soil attributes by spectral library models; vi) comparison of a pre-existent spectral library with unknown profile spectra; vii) most probable soil classification. A soil cannot be classified from one spectral curve alone. The behavior between the horizons of a profile, however, was correlated with its classification. In fact, the validation showed 85 % accuracy between the Morphological Interpretation of Reflectance Spectrum (MIRS) method and the traditional classification, showing the importance and potential of a combination of descriptive and quantitative evaluations

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Development and validation of HERWIG 7 tunes from CMS underlying-event measurements

This paper presents new sets of parameters (“tunes”) for the underlying-event model of the HERWIG7 event generator. These parameters control the description of multiple-parton interactions (MPI) and colour reconnection in HERWIG7, and are obtained from a fit to minimum-bias data collected by the CMS experiment at s=0.9, 7, and 13Te. The tunes are based on the NNPDF 3.1 next-to-next-to-leading-order parton distribution function (PDF) set for the parton shower, and either a leading-order or next-to-next-to-leading-order PDF set for the simulation of MPI and the beam remnants. Predictions utilizing the tunes are produced for event shape observables in electron-positron collisions, and for minimum-bias, inclusive jet, top quark pair, and Z and W boson events in proton-proton collisions, and are compared with data. Each of the new tunes describes the data at a reasonable level, and the tunes using a leading-order PDF for the simulation of MPI provide the best description of the dat