Current Challenges and Opportunities of Type 1 Diabetes

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Endocrinology and Metabolism Research".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 2125

Special Issue Editor


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Guest Editor
School of Medicine, University of Zagreb, Zagreb, Croatia
Interests: type 1 diabetes mellitus; obesity; preconception care; pregnancy; nutrition; placenta; diabetic complications; insulins; diabetes technology; biomarkers

Special Issue Information

Dear Colleagues,

Due to its increasing importance in society, the decision has been made to dedicate the Special Issue to type 1 diabetes mellitus, a non-communicable disease whose global prevalence has been rising in the last decades, and is estimated to reach 10.9% (700 million) by 2045.

Although basic scientific research related to cutting-edge technologies for the prediction, prevention, and therapy of diabetes has been particularly prevalent, this area in women with type 1 diabetes mellitus during reproductive age has been less extensively discussed. In light of this, the core aim of this Special Issue is to present, in as much detail as possible, the novelty and state of the art related to modern technologies used in women with type 1 diabetes, as a means to personalize and improve the early risk prediction, prevention, and management of pre-pregnancy and pregnancy conditions.

To this end, the Special Issue “Type 1 Diabetes in Women” aims to integrate basic scientific results, and particularly focus on the pathophysiology of the changes in early pregnancy, placental and fetal development, and the impact of diet, supplements and the timely titration of insulin therapy (MDI and insulin pumps), both preconception and during pregnancy. Furthermore, it is essential to discuss the impact of hypoglycemia on the course and outcome of pregnancy, advanced technologies used to improve the regulation of diabetes, and various clinical complications that occur more frequently in type 1 diabetes patients. This Special Issue is expected to provide important information, such as the development or worsening of retinopathy, neurological status, or impaired renal function, emphasizing novel therapies and the choice of modern insulins.

We would like to invite authors to present their recent research results in this Special Issue, and, in doing this, expand the knowledge of our colleagues and motivate other researchers to join us in improving care for women with type 1 diabetes mellitus. For this Special Issue, original research articles and reviews are both welcome.

I look forward to receiving your contributions.

Prof. Dr. Marina Ivanisevic
Guest Editor

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Published Papers (1 paper)

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Research

13 pages, 288 KiB  
Article
Glycemic Variability in Type 1 Diabetes Mellitus Pregnancies—Novel Parameters in Predicting Large-for-Gestational-Age Neonates: A Prospective Cohort Study
by Gloria Leksic, Maja Baretić, Lara Gudelj, Marija Radic, Iva Milicic, Marina Ivanišević and Dubravka Jurisic-Erzen
Biomedicines 2022, 10(9), 2175; https://doi.org/10.3390/biomedicines10092175 - 2 Sep 2022
Cited by 4 | Viewed by 1681
Abstract
Pregnancies with type 1 diabetes mellitus (T1DM) have a high incidence of large-for-gestational-age neonates (LGA) despite optimal glycemic control. In recent years, glycemic variability (GV) has emerged as a possible risk factor for LGA, but the results of the conducted studies are unclear. [...] Read more.
Pregnancies with type 1 diabetes mellitus (T1DM) have a high incidence of large-for-gestational-age neonates (LGA) despite optimal glycemic control. In recent years, glycemic variability (GV) has emerged as a possible risk factor for LGA, but the results of the conducted studies are unclear. This study analyzed the association between GV and LGA development in pregnancies with T1DM. This was a prospective cohort study of patients with T1DM who used continuous glucose monitoring (CGM) during pregnancy. Patients were followed from the first trimester to birth. GV parameters were calculated for every trimester using the EasyGV calculator. The main outcomes were LGA or no-LGA. Logistic regression analysis was used to assess the association between GV parameters and LGA. In total, 66 patients were included. The incidence of LGA was 36%. The analysis extracted several GV parameters that were significantly associated with the risk of LGA. The J-index was the only significant parameter in every trimester of pregnancy (odds ratios with confidence intervals were 1.33 (1.02, 1.73), 3.18 (1.12, 9.07), and 1.37 (1.03, 1.82), respectively. Increased GV is a risk factor for development of LGA. The J-index is a possible novel GV parameter that may be assessed in all three trimesters of pregnancy together with glycated hemoglobin and time-in-range. Full article
(This article belongs to the Special Issue Current Challenges and Opportunities of Type 1 Diabetes)
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