Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Continuous glucose monitoring (CGM) has emerged as an important tool for managing gestational diabetes mellitus (GDM), offering real-time glucose data and the potential for improved glycemic control. Unlike traditional self-monitoring of blood glucose (SMBG), which provides intermittent readings, CGM captures continuous glucose fluctuations, including postprandial and nocturnal changes, which are critical in GDM management.

Objective: This systematic review aimed to assess the effectiveness of CGM compared with SMBG in managing glycemic control in women with GDM, focusing on key glycemic metrics such as time in range (TIR) and glycemic variability (GV), and exploring their associations with maternal and neonatal outcomes.

Methods: A comprehensive search of PubMed and Google Scholar was conducted, adhering to PRISMA guidelines. Studies included randomized controlled trials, observational studies, and prospective cohort studies comparing CGM and SMBG, with 35 studies ultimately reviewed.

Results: Compared with SMBG, CGM demonstrated significant improvements in maintaining TIR and reducing GV, which correlated with favorable maternal and neonatal outcomes, including lower rates of large-for-gestational-age (LGA) infants, preterm birth, and NICU (neonatal intensive care unit) admissions. Furthermore, CGM detected more hyperglycemic and hypoglycemic events, particularly nocturnal fluctuations. However, the studies also highlighted the need for standardized metrics to optimize CGM use in GDM management.

Conclusion: Continuous glucose monitoring offers substantial advantages over SMBG for managing GDM by providing continuous, real-time glucose data, enabling timely treatment adjustments. These findings support the integration of CGM into clinical practice to improve maternal and neonatal outcomes in GDM. Further research is needed to establish standardized CGM metrics specific to GDM management.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12286989PMC
http://dx.doi.org/10.1177/19322968251357873DOI Listing

Publication Analysis

Top Keywords

continuous glucose
16
glucose monitoring
12
maternal neonatal
12
cgm
9
self-monitoring blood
8
blood glucose
8
gestational diabetes
8
systematic review
8
real-time glucose
8
glucose data
8

Similar Publications

Background: Older patients presenting with nonspecific complaints (NSC) in the Emergency Department (ED) pose diagnostic challenges. The lack of clear symptoms leads to high misdiagnosis rates, extended hospital stays, and functional impairment. However, limited research exists on diagnostic test utilization for this population.

View Article and Find Full Text PDF

Aims/hypothesis: Severe hypoglycaemia events (SHE) remain frequent in people with type 1 diabetes despite advanced diabetes technologies. We examined whether time below range (TBR) 3.9 mmol/l (70 mg/dl; TBR70) or 3.

View Article and Find Full Text PDF

The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology.

View Article and Find Full Text PDF

Electrical pulse stimulation (EPS) represents a useful tool to study exercise-related adaptations of muscle cells in vitro. Here, we examine the metabolic and secretory response of primary human muscle cells from metabolically healthy individuals to the EPS protocol reflecting the episodic nature of real-life exercise training. This intermittent EPS protocol alternates high-frequency stimulation periods with low-frequency resting periods.

View Article and Find Full Text PDF

Wearable technologies that analyse non-conventional biological matrices, such as interstitial fluid, sweat, tears or breath, have the potential to provide longitudinal biomarker data with minimal invasiveness. These data could provide insights into physiological and behavioural patterns, in particular outside medical care facilities. Despite the success of continuous glucose monitoring, the adoption of wearable sensors for managing endocrine and metabolic diseases remains limited.

View Article and Find Full Text PDF