ECE2018 Poster Presentations: Diabetes, Obesity and Metabolism Diabetes (to include epidemiology, pathophysiology) (73 abstracts)
Glycemic variability and diabetes-related antibodies titer at diagnose in type 1 diabetic patients: is there a correlation?
Adriana De Sousa Lages 1, , Luís Cardoso 1, , Carla Baptista 1 , Luísa Barros 1 , Patrícia Oliveira 1 , Diana Oliveira 1, , Mara Ventura 1, , Nelson Cunha 1 , Diana Catarino 1 , Lúcia Fadiga 1 & Francisco Carrilho 1
1Coimbra Hospital and University Center, Coimbra, Portugal; 2Faculty of Medicine, Coimbra University, Coimbra, Portugal.
Introduction: Type 1 Diabetes (DM1) is associated with a destructive autoimmune process of pancreatic b-cells. The presence of anti-islet cells (ICA) antibodies (Ab), as well as for distinctive antigens – GAD65, IA2 or Insulin (IAA) - is related to the disease development.
Aim: To evaluate the effect of DM1 antibodies on the measures of glycemic variability (GV) obtain through continuous glucose monitoring (CGM).
Materials and methods: Were included 41 patients with DM1 who performed CGM, corresponding to 7872 h of CGM. Analytic and clinical data were obtained through patient’s individual process and hospital’s electronic process consultation. Data from the CGM was obtained using iPro2 Medtronic®. Statistical analysis was performed on SPSS Statistics v.25®. We included as measures of GV: Mean Tissue Glucose, Standard-Deviation (SD), CONGA, LI, JINDEX, LBGI, HBGI, GRADE, MODD, MAGE, ADDR, M-value e MAG.
Results: Patients were stratified in two groups (1: patients with £2 different classes of positive Ab (n=28) vs 2: patients with >2 different classes of positive Ab (n=13)). We found significant differences between groups regarding disease duration 17.03±8.6 vs. 14.15±8.9; P=0.004), age (32.39±10.6 vs. 25.15±7.17; P=0.000) and HbA1c (7.93±0.93 vs. 7.58±1.02; P=0.013) at the MCG date. Concerning different measures of GV, we also found significant differences related to mean tissue glucose (8.88±2.3 vs. 8.23±2.2; P=0.021), CONGA (7.68±2.2 vs 7.13±2.1; P=0.036), JINDEX (48.78±23.2 vs 43.42±24.5; P=0.02), HBGI (10.44±6.6 vs 8.97±6.5; P=0.037), GRADE (8.05±4.7 vs 6.89±4.5; P=0.042), MODD (4.01±1.1 vs 3.41±1.1; P<0.001) and ADDR (30.22±9.8 vs. 26.02±10.5; P=0.006). We established a significant correlation between Ab anti-GAD65 (rs=−0.137; P=0.031) and Ab anti-IA2 (rs=0.23; P=0.017) and GRADE measure. When the model was adjusted for potential confounding variables, namely disease duration, we still observed an inverse correlation between variability and presence of Ab and ADDR measure (P=0.003).
Conclusions: In our sample, we found significant differences between the number of Abs and several measures of GV (Mean, CONGA, JINDEX, HBGI, GRADE, MODD, ADDR). However, after adjusting the data for the duration of disease, only the differences on ADDR were still observed, highlighting the importance of the clinical data and disease evolution for the interpretation of GV.
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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