Inpatient hyperglycemia management: the opportunities of a new basal insulin

Submitted: 22 December 2015
Accepted: 12 February 2016
Published: 23 June 2016
Abstract Views: 1899
PDF: 1034
HTML: 1127
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

The management of hospitalized diabetic patients for any cause is often difficult and affected not only by the comorbidities of the patient but also by the hospital setting. It is well known that at the admission the antidiabetic drugs should be discontinued on behalf of insulin therapy with insulin analogues, as a function of a basal-bolus insulin approach according to the phenotype of the patient, type of nutrition (enteral or parenteral rather than oral), or concomitant hyperglycemic therapy (e.g., steroid). The average stay of diabetic patients hospitalized for any cause is significantly correlated with both the number of hypoglycemia and hyperglycemia. Compared to patients treated with sliding scale patients using a custom algorithm show a significant reduction in the number of hypoglycemia and hyperglycemia episodes and in the length of stay. We analyze the clinical profile of a novel basal insulin, degludec, and explore the potential clinical benefit for diabetic inpatient. The continuation of insulin therapy at home in the immediate post-hospitalization (if necessary), also correlates with a reduction in the rate of re-hospitalization, which combined with close follow-up diabetes can result in a reduction of chronic complications.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

PlumX Metrics

PlumX Metrics  provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

Citations

How to Cite

Simioni, N. (2016). Inpatient hyperglycemia management: the opportunities of a new basal insulin. Italian Journal of Medicine, 10(2), 103–110. https://doi.org/10.4081/itjm.2016.681