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  • Ruilope, LM, et al. (author)
  • Design and Baseline Characteristics of the Finerenone in Reducing Cardiovascular Mortality and Morbidity in Diabetic Kidney Disease Trial
  • 2019
  • In: American journal of nephrology. - : S. Karger AG. - 1421-9670 .- 0250-8095. ; 50:5, s. 345-356
  • Journal article (peer-reviewed)abstract
    • <b><i>Background:</i></b> Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. <b><i>Patients and</i></b> <b><i>Methods:</i></b> The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate ≥25 mL/min/1.73 m<sup>2</sup> and albuminuria (urinary albumin-to-creatinine ratio ≥30 to ≤5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level α = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. <b><i>Conclusions:</i></b> FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049.
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  • Shimwell, T. W., et al. (author)
  • The LOFAR Two-metre Sky Survey: II. First data release
  • 2019
  • In: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 622
  • Research review (peer-reviewed)abstract
    • The LOFAR Two-metre Sky Survey (LoTSS) is an ongoing sensitive, high-resolution 120-168 MHz survey of the entire northern sky for which observations are now 20% complete. We present our first full-quality public data release. For this data release 424 square degrees, or 2% of the eventual coverage, in the region of the HETDEX Spring Field (right ascension 10h45m00s to 15h30m00s and declination 45°00′00″ to 57°00′00″) were mapped using a fully automated direction-dependent calibration and imaging pipeline that we developed. A total of 325 694 sources are detected with a signal of at least five times the noise, and the source density is a factor of ∼10 higher than the most sensitive existing very wide-area radio-continuum surveys. The median sensitivity is S144 MHz = 71 μJy beam -1 and the point-source completeness is 90% at an integrated flux density of 0.45 mJy. The resolution of the images is 6″ and the positional accuracy is within 0.2″. This data release consists of a catalogue containing location, flux, and shape estimates together with 58 mosaic images that cover the catalogued area. In this paper we provide an overview of the data release with a focus on the processing of the LOFAR data and the characteristics of the resulting images. In two accompanying papers we provide the radio source associations and deblending and, where possible, the optical identifications of the radio sources together with the photometric redshifts and properties of the host galaxies. These data release papers are published together with a further ∼20 articles that highlight the scientific potential of LoTSS.
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  • Result 1-10 of 84
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journal article (75)
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Type of content
peer-reviewed (78)
other academic/artistic (6)
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Orru, E. (26)
Hoeft, M. (26)
Tasse, C. (26)
Ferrari, C. (25)
de Gasperin, F. (25)
van Weeren, R. J. (25)
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Best, P. (24)
Heald, G. (24)
Brüggen, M. (24)
Pizzo, R. (23)
Wucknitz, O. (23)
Bonafede, A. (23)
Falcke, H. (23)
Ciardi, B. (22)
Steinmetz, M. (22)
Garrett, M. A. (22)
Vermeulen, R. (22)
Bernardi, G. (21)
Breitling, F. (21)
McKean, J. P. (21)
Pandey-Pommier, M. (21)
Zarka, P. (21)
Frieswijk, W. (21)
Kuper, G. (21)
Sluman, J. (21)
Tang, Y. (21)
Anderson, J (20)
Bentum, M. J. (20)
Reich, W. (20)
Smirnov, O. (20)
Tagger, M. (20)
Kondratiev, V. I. (20)
Kuniyoshi, M. (20)
Karastergiou, A. (19)
Conway, John, 1963 (19)
Bell, M. E. (19)
Maat, P. (19)
Gunst, A. W. (18)
Butcher, H. R. (18)
Duscha, S. (18)
Paas, H. (18)
Polatidis, A. G. (18)
Vocks, C. (18)
Avruch, I. M. (18)
Munk, H. (18)
van Leeuwen, J. (17)
de Geus, E. (17)
Mann, G. (17)
Asgekar, A. (17)
Hassall, T. E. (17)
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Karolinska Institutet (30)
Chalmers University of Technology (26)
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English (84)
Research subject (UKÄ/SCB)
Natural sciences (40)
Medical and Health Sciences (22)
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