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The paper analyzes the national DK-model hydrological information and prediction (HIP) system and HIP portal viewed as a 'digital twin' and how the introduction of real-time dynamic updating of the DK-model HIP simulations can make room for plug-in submodels with real-time boundary conditions made available from an HIP portal. The possible feedback to a national real-time risk knowledge base during extreme events (flooding and drought) is also discussed. Under climate change conditions, Denmark is likely to experience more rain in winter, more evapotranspiration in summer, intensified cloudbursts, drought, and sea level rise. These challenges were addressed as part of the Joint Governmental Digitalization Strategy 2016–2020 for better use and sharing of public data about the terrain, water, and climate to support climate adaptation, water management, and disaster risk reduction. This initiative included the development of a new web-based data portal (HIP portal) developed by the Danish Agency for Data Supply and Infrastructure (SDFI). GEUS delivered 5 terabytes of hydrological model data to the portal, with robust calibration methods and hybrid machine learning (ML) being key parts of the deliverables. This paper discusses the challenges and potentials of further developing the HIP digital twin with 'plug-in digital twins' for local river basins, including feedback to the national level. [ABSTRACT FROM AUTHOR]

Background and Objectives: The aim was to evaluate the prognostic biomarker potential of the soluble urokinase-type plasminogen activator receptor (suPAR) in plasma samples collected pre- and postoperatively from patients resected for colorectal cancer (CRC)., Methods: Patients with CRC were recruited prospectively at six centers from 2006 to 2008. Preoperative plasma samples were available from 494 patients and from 328 of these patients at 6 months postoperatively. Determinations of intact soluble uPAR (suPAR) suPAR(I-III) and the cleaved forms suPAR(I-III) + (II-III) and uPAR(I) were performed. Clinical data were retrieved retrospectively., Results: In a multivariable model based on preoperative plasma samples suPAR(I-III) + (II-III) and uPAR(I) showed an independent statistically significant association to long term survival. When including the change in biomarker level between the pre- and postoperatively samples the hazard ratios were 3.06 (95% confidence interval [CI], 1.78-5.28; P < .0001) and 2.24 (95% CI, 1.59-3.16; P < .0001) for suPAR(I-III) + (II-III) and uPAR(I), respectively. A one-unit decrease in biomarker levels between the pre- and postoperative levels resulted in a 55% and 34% reduction in the risk estimate of death for suPAR(I-III) + (II-III) and uPAR(I), respectively., Conclusion: This study validates previously findings regarding the prognostic significance of suPAR in preoperative samples. The inclusion of postoperative samples added further prognostic information., (© 2019 Wiley Periodicals, Inc.)

Background: Birth dimensions have been associated with increased risk of both, severe mental illness and type 2 diabetes in adulthood, however, any influence on their co-occurrence has never been examined. This cohort study examine whether birth weight/ponderal index explain or modify the later association between severe mental illness and risk of type 2 diabetes., Methods: The Metropolit cohort included 10,863 Danish men born in 1953 with information from age at conscription (between1971-84) until February 15 th , 2018. Severe mental illness was defined as the exposure and information was retrieved from the national Danish health registries. Information on type 2 diabetes diagnosis or oral antidiabetic prescriptions was also obtained, as they were the outcome of interest. Information on birth weight/ponderal index was available from birth certificates. Cox proportional hazards regression models were used to estimate the associations and interactions were tested., Results: After 47.1 years of follow-up, 848 (7.8%) and 1320 (12.2%) men developed a severe mental illness or diabetes, respectively. Men with severe mental illness presented higher risk of subsequent diabetes (HR = 1.92; 95%CI, 1.61-2.30). This association was stronger in severe mental ill men with low birth weight (HR = 3.58; 95%CI, 2.11-6.07), than in those normal birth weight (HR = 1.79; 95%CI, 1.45-2.20). This effect modification was most evident for men diagnosed with schizophrenia., Conclusions: Birth information on birth weight/ponderal index could be of interest in diabetes screening on severe mental ill populations (especially in schizophrenia) since they might play a critical role in the increased risk of type 2 diabetes following severe mental illness., (Copyright © 2019 Elsevier Masson SAS. All rights reserved.)

Aim: Urokinase plasminogen activator receptor (uPAR) plays a central role during cancer invasion by facilitating pericellular proteolysis. We initiated the prospective 'Copenhagen uPAR Prostate Cancer' study to investigate the significance of uPAR levels in prostate cancer (PCa) patients., Methods: Plasma samples and clinical data from patients with newly diagnosed PCa have been collected prospectively. The uPAR forms have been measured in plasma using time-resolved fluorescence immunoassays., Results: The level of intact uPAR(I-III) did not differ. Plasma uPAR(I-III) + uPAR(II-III) levels and uPAR(I) levels were significantly higher in hormone-naive and castrate-resistant patients compared with patients with localized disease (both: p < 0.0001)., Conclusion: Our results show that cleaved uPAR forms are significantly increased in patients with advanced PCa.