Background: Subjects with type 2 diabetes mellitus (T2DM) are susceptible to osteoporosis. This study was conducted to evaluate the association between glycemic variability evaluated by continuous glucose monitoring (CGM) and osteoporosis in type 2 diabetic patient.
Methods: A total of 362 type 2 diabetic subjects who underwent bone mineral density (BMD) measurement and were monitored by a CGM system from Jan 2019 to May 2020 were enrolled in this cross-sectional study. Glycemic variability was calculated with the Easy GV software, including 24-hour mean blood glucose (24-h MBG), the standard deviation of 24-h MBG (SDBG), coefficient of variation (CV), mean amplitude of glycemic excursions (MAGE), and time in range between 3.9 and 10.0 mmol/L (TIR). Other potential influence factors for osteoporosis were also examined.
Results: Based on the T-scores of BMD measurement, there were 190 patients with normal bone mass, 132 patients with osteopenia and 40 patients with osteoporosis. T2DM patients with osteoporosis showed a higher 24-h MBG, SDBG, CV, and MAGE, but a lower TIR (all < 0.05). Multivariate logistic regression analysis revealed that age, female gender, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), serum uric acid (SUA) and MAGE independently contribute to osteoporosis, and corresponding odds ratio [95% confidence interval (CI)] was 1.129 (1.072-1.190), 4.215 (1.613-11.012), 0.801 (0.712-0.901), 2.743 (1.385-5.431), 0.993 (0.988-0.999), and 1.380 (1.026-1.857), respectively. Further receiver operating characteristic analysis with Youden index indicated that the area under the curve and its 95% CI were 0.673 and 0.604-0.742, with the optimal cut-off value of MAGE predicting osteoporosis being 4.31 mmol/L.
Conclusion: In addition to conventional influence factors including age, female gender, BMI, LDL-C and SUA, increased glycemic variability assessed by MAGE is associated with osteoporosis in type 2 diabetic patients.
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http://dx.doi.org/10.3389/fendo.2022.861131 | DOI Listing |
Acta Diabetol
January 2025
1st Paediatric Department, School of Medicine, Faculty of Health Sciences, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Aims: To assess the efficacy and safety of automated insulin delivery (AID) systems compared to standard care in managing glycaemic control during pregnancy in women with Type 1 Diabetes Mellitus (T1DM).
Methods: We searched MEDLINE, Cochrane Library, registries and conference abstracts up to June 2024 for randomized controlled trials (RCTs) and observational studies comparing AID to standard care in pregnant women with T1DM. We conducted random effects meta-analyses for % of 24-h time in range of 63-140 mg/dL (TIR), time in hyperglycaemia (> 140 mg/dl and > 180 mg/dL), hypoglycaemia (< 63 mg/dl and < 54 mg/dL), total insulin dose (units/kg/day), glycemic variability (%), changes in HbA1c (%), maternal and fetal outcomes.
Endocr Metab Immune Disord Drug Targets
January 2025
Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Lovely Professional University, Panjab, 144001, India.
Diabetes Mellitus (DM) is a complex metabolic disorder characterized by chronic hyperglycemia and poses significant global health challenges. Conventional treatments, such as insulin therapy and lifestyle modifications, have shown limited efficacy in addressing the multifactorial nature of DM. Emerging evidence suggests that gut microbiota, a diverse community of microorganisms critical for metabolism and immune function, plays a pivotal role in metabolic health.
View Article and Find Full Text PDFJ Clin Sleep Med
January 2025
Department of Pediatrics, Division of Pediatric Endocrinology, Koç University School of Medicine, İstanbul, Türkiye.
Study Objectives: Our objectives were to compare sleep health composite dimensions and chronotype in children and adolescents with and without type 1 diabetes (T1D) and to explore the relationship between sleep and glycemic variability in T1D.
Methods: The study comprised 84 participants with T1D aged between 6 to 18 years, and age and sex matched by controls. The sleep health composite (SHC) was measured using actigraphy, sleep diaries, and self or parental reports.
Perioper Med (Lond)
January 2025
Department of Surgery, Yale School of Medicine, New Haven, CT, 06510, USA.
Background: Irrespective of baseline diabetes status, preoperative hemoglobin A1c (A1C) influences perioperative care in patients undergoing metabolic and bariatric surgery (MBS). Accordingly, the American Society of Metabolic and Bariatric Surgery (ASMBS) endorses that patients undergoing MBS should receive a preoperative A1C test. We aimed to assess the proportion of MBS patients who received a preoperative A1C test and determine whether baseline diabetes status influences receipt of a test.
View Article and Find Full Text PDFThe purpose of this study was to compare the effects of quinoa multigrain supplementation on glycemia and lipid metabolism among individuals with impaired glucose tolerance (IGT). In total, 207 participants diagnosed with IGT were randomly assigned to the quinoa group (QG; 100 g day, replacing about half of the total daily staple food), multiple whole grain group (WGG; 100 g day), or control group (CG) and followed for one year. Biomarkers were measured before and after the intervention.
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