Glycemic Care in Hospitalized Patients with Diabetes: Current Views and Future Perspectives

A special issue of Diabetology (ISSN 2673-4540).

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 16143

Special Issue Editor


E-Mail Website
Guest Editor
Department of Medicine, Division of Endocrinology, Diabetes and Metabolism at Penn State University, Milton S Hershey Medical Center, Hershey, PA, USA
Interests: diabetes management; glycemic control; quality improvement; health informatics; clinical decision support; health systems science; health disparities; diabetes education; practice performance

Special Issue Information

Dear Colleagues,

Dysglycemia contributes to morbidity and mortality in acutely ill patients.  Hospital glycemic control has important implications on outcomes. Evolving systems of practice, advancements in technology, treatment alternatives, and the current global pandemic are driving new knowledge. In this special issue of Diabetology, authors will contribute towards scientific evidence in various domains of inpatient diabetes care and glycemic management. Manuscripts will focus on epidemiology, treatment, complications, system processes, care delivery, technology, health informatics, decision-making, quality improvement, practice performance, education, competencies, and Covid 19. Contributions may derive from qualitative and/or quantitative research. Authors will feature their current work and future perspectives related to glycemic care in the hospital through original research, reviews, case reports, conceptual models and perspectives

Prof. Dr. Ariana Pichardo-Lowden
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diabetology is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hospital diabetes care
  • inpatient glycemic control
  • hyperglycemia in the hospital
  • hypoglycemia in the hospital
  • inpatient diabetes technology
  • health systems science
  • health information technology
  • clinical decision support
  • glucose monitoring in the hospital
  • quality improvement
  • care transitions
  • COVID-19

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

7 pages, 703 KiB  
Communication
Managing Hospitalized Patients Taking SGLT2 Inhibitors: Reducing the Risk of Euglycemic Diabetic Ketoacidosis
by Julia Selwyn and Ariana R. Pichardo-Lowden
Diabetology 2023, 4(1), 86-92; https://doi.org/10.3390/diabetology4010010 - 21 Feb 2023
Cited by 7 | Viewed by 12250
Abstract
Sodium-glucose cotransporter-2 (SGLT2) inhibitors are emerging as an important therapy not only for type 2 diabetes (T2DM), but also for heart disease and kidney disease. As these medicines gain acceptance, the number of hospitalized patients receiving them is likely to rise. During clinical [...] Read more.
Sodium-glucose cotransporter-2 (SGLT2) inhibitors are emerging as an important therapy not only for type 2 diabetes (T2DM), but also for heart disease and kidney disease. As these medicines gain acceptance, the number of hospitalized patients receiving them is likely to rise. During clinical trials, SGLT2 inhibitors were noted to have a potential risk for diabetic ketoacidosis (DKA), particularly DKA with relatively normal blood glucose levels, ‘euglycemic DKA’. Similar to DKA that is not associated with SGLT2 inhibitors, most of these events seem to be related to acute illnesses or other changes in a patient’s medications or self-management circumstances. This creates a need among hospital providers to create strategies to prevent DKA in their hospitalized patient and guidance on monitoring and treating euglycemic DKA. Our combined experience concerning this phenomenon has given a great deal of insight into this problem and the knowledge needed to improve patient care, by augmenting patient education, inpatient surveillance, and early treatment for euglycemic DKA. Full article
Show Figures

Figure 1

8 pages, 241 KiB  
Article
Evaluating the Influence of Mood and Stress on Glycemic Variability in People with T1DM Using Glucose Monitoring Sensors and Pools
by Jose Manuel Velasco, Marta Botella-Serrano, Almudena Sánchez-Sánchez, Aranzazu Aramendi, Remedios Martínez, Esther Maqueda, Oscar Garnica, Sergio Contador, Juan Lanchares and José Ignacio Hidalgo
Diabetology 2022, 3(2), 268-275; https://doi.org/10.3390/diabetology3020018 - 11 Apr 2022
Viewed by 3049
Abstract
Objective: Assess in a sample of people with type 1 diabetes mellitus whether mood and stress influence blood glucose levels and variability. Material and Methods: Continuous glucose monitoring was performed on 10 patients with type 1 diabetes mellitus, where interstitial glucose [...] Read more.
Objective: Assess in a sample of people with type 1 diabetes mellitus whether mood and stress influence blood glucose levels and variability. Material and Methods: Continuous glucose monitoring was performed on 10 patients with type 1 diabetes mellitus, where interstitial glucose values were recorded every 15 min. A daily survey was conducted through Google Forms, collecting information on mood and stress. The day was divided into six slots of 4-h each, asking the patient to assess each slot in relation to mood (sad, normal or happy) and stress (calm, normal or nervous). Different measures of glycemic control (arithmetic mean and percentage of time below/above the target range) and variability (standard deviation, percentage coefficient of variation, mean amplitude of glycemic excursions and mean of daily differences) were calculated to relate the mood and stress perceived by patients with blood glucose levels and glycemic variability. A hypothesis test was carried out to quantitatively compare the data groups of the different measures using the Student’s t-test. Results: Statistically significant differences (p-value < 0.05) were found between different levels of stress. In general, average glucose and variability decrease when the patient is calm. There are statistically significant differences (p-value < 0.05) between different levels of mood. Variability increases when the mood changes from sad to happy. However, the patient’s average glucose decreases as the mood improves. Conclusions: Variations in mood and stress significantly influence blood glucose levels, and glycemic variability in the patients analyzed with type 1 diabetes mellitus. Therefore, they are factors to consider for improving glycemic control. The mean of daily differences does not seem to be a good indicator for variability. Full article
Show Figures

Figure 1

Back to TopTop