Discharge after acute kidney injury : recognising and managing risk

Peer reviewedPublisher PD

You are what you eat... and drink

Non peer reviewedPublisher PD

Diagnostic sensitivity and false positive AKI alerts through unlinking of an integrated Grampian biochemistry service

ReportPublisher PD

Long Term Prognosis after Acute Kidney Injury (AKI) - What is the Role of Baseline Kidney Function and Recovery? A Systematic Review

Peer reviewedPublisher PD

Population Epidemiology of Hyperkalemia : Cardiac and Kidney Long Term Health Outcomes

Acknowledgements: We acknowledge the support of the Grampian Data Safe Haven (DaSH) facility within the Aberdeen Centre for Health Data Science and the associated financial support of the University of Aberdeen, and NHS Research Scotland (through NHS Grampian investment in DaSH). For more information, visit the DaSH website.Peer reviewedPostprin

Identifying multimorbidity clusters in an unselected population of hospitalised patients

Funding NHS Grampian Public Health Directorate funded the original study developing the dataset. This study was funded by NHS Grampian Endowment [Grant No. 18/10]. Acknowledgements We thank NHS Grampian who provided data and also the Grampian Data Safe Haven, who hosted the data and provided data management support and the linkage service. This work was supported by Health Data Research UK which receives its funding from HDR UK Ltd (HDR-5012) funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust. We also acknowledge the non-financial support of our Study Steering Committee, which included clinical, epidemiological and health intelligence representation.Peer reviewedPublisher PD

Validation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injury

Wellcome Trust Research Training Fellowship: 102729/Z/13/Z Academy of Medical Sciences Starter Grant for Clinical Lecturers: SGL020\1076 We acknowledge the support of the Grampian Data Safe Haven (DaSH) facility within the Aberdeen Centre for Health Data Science and the associated financial support of the University of Aberdeen, and NHS Research Scotland (through NHS Grampian investment in DaSH). More information is available at the DaSH website: http://www.abdn.ac.uk/iahs/facilities/grampian-data-safe-haven.phpPeer reviewedPublisher PD

Review of land flow accounting methods and recommendations for further development

Robust land footprint indicators can potentially extend the consumption-based resource use indicator of the German sustainability strategy, which focuses on abiotic resources including fossil fuels, metals, and construction and industrial minerals and decidedly excludes biotic resources. Various approaches exist for quantifying the land embodied in international trade flows and consumption, i.e. the land footprint. These can be classified into a) environmental-economic accounting approaches, applying input-output analysis and tracking supply chains in monetary values, b) physical accounting approaches, using an accounting framework based on data for production, trade and utilization of agricultural and forestry commodities and tracking supply chains in physical units, and c) hybrid accounting, combining elements from both environmental-economic and physical accounting. The results of recent studies vary widely, indicating a lack of robustness and thus hampering their application in policy making. This report provides an in-depth review of the current state of the art in measuring land footprints. We identify differences in available accounting methods and indicate their shortcomings, which are mainly attributable to the product and supply chain coverage and detail, and biases introduced by the use of monetary flows as a proxy for actual physical flows. We offer options and give clear recommendations for the further development of actual and virtual global biomass and land flow accounting methods, particularly highlighting the advantages of hybrid accounting approaches as a framework for the robust and transparent assessment of land footprints associated with global biomass flows

Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease : multinational, longitudinal, population based, cohort study

Acknowledgments We thank the interdisciplinary chronic disease collaboration, the Grampian data safe haven team, and the Danish health data authority team for their administrative support and facilitating the access to the data sources. We thank the nephrology research group patient and family engagement advisory committee, University of Calgary, for their feedback on relevant prediction time horizons and how to visualise both risk predictions simultaneously (eg, KDpredict app and fig 4). We also thank Josè Aponte for his support in developing the KDpredict application.Peer reviewe

Risk factors associated with biochemically detected and hospitalised acute kidney injury in patients prescribed renin angiotensin system inhibitors

Acknowledgments: The authors would like to thank Claire MacDonald from NHS Greater Glasgow and Clyde Safe Haven for technical assistance with the project. Funding: This work was funded by the Chief Scientist Office Scotland (grant HICG/1/1)Peer reviewedPostprin