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Diabetes

Predicting severe hypoglycaemia — a step forward

The patient-centred approach to the management of hyperglycaemia, encouraged by current guidelines, requires the availability of tools to quantify the benefits and harms of intensive glucose control. Although several scores enable estimation of the long-term risk of developing diabetes-related complications, there are very few validated models to predict the risk of severe hypoglycaemia.

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Acknowledgements

F.Z. and K.K. acknowledge the National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care – East Midlands (NIHR CLAHRC – EM), the Leicester Clinical Trials Unit and the NIHR Leicester Biomedical Research Centre. This report is independent research funded by the National Institute for Health Research. The views expressed in this article are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.

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Correspondence to Kamlesh Khunti.

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F.Z. is funded by an unrestricted educational grant from the NIHR CLAHRC – EM to the University of Leicester. K.K. has acted as a consultant and speaker for Eli Lilly & Company, Merck Sharp & Dohme, Novartis, Novo Nordisk and Sanofi Aventis. He has received grants in support of investigator and investigator-initiated trials from Boehringer Ingelheim, Eli Lilly & Company, Merck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer and Sanofi Aventis.

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Zaccardi, F., Khunti, K. Predicting severe hypoglycaemia — a step forward. Nat Rev Endocrinol 13, 692–693 (2017). https://doi.org/10.1038/nrendo.2017.138

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