Modeling the variability of insulin sensitivity during the menstrual cycle in women with type 1 diabetes to adjust open-loop insulin therapy

Author(s):  
Jenny L. Diaz C. ◽  
Eda Cengiz ◽  
Marc D. Breton ◽  
Chiara Fabris
Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Lindsey M Duca ◽  
Rachel M Sippl ◽  
Janet K Snell-Bergeon

Women with type 1 diabetes (T1D) lose the premenopausal protection from cardiovascular disease (CVD) that non-diabetic (non-DM) women have compared to men, and are also more insulin resistant than non-DM women. Standard CVD risk factors have not been found to adequately predict CVD in the T1D population, but insulin resistance is emerging as a potentially important risk factor. The aim of this study was to determine whether sex hormone levels such as estradiol (E2), total testosterone (TT), and sex-hormone binding globulin (SHBG) explained any of the decreased insulin sensitivity in women with T1D, which could be important in CVD prevention. This study included 25 premenopausal women 18-45 years of age with a mean ± SD age of 33 ± 8 years who completed a three stage (4, 8 and 40 mU/m2/min) hyperinsulinemic-euglycemic clamp during the luteal phase of the menstrual cycle (T1D n=12 and non-DM n=13). A steady state was achieved during the last 30 minutes of the high insulin infusion stage and mean glucose infusion rate (GIR [mg/kg/FFM/min]) during this time was used as an estimate of the skeletal muscle glucose disposal rate. Sex hormones were compared using unpaired Student t tests between T1D and non-DM participants during each phase of the menstrual cycle and during the morning of the clamp.. Significant differences were explored in multivariable linear regression in which stepwise model selection was used to determine the final model adjusting for age and diabetes status. In age-adjusted analysis, women with T1D were less than half as insulin sensitive as non-DM women (least squares mean ± SE: 7.5±2.2 vs. 19.0±2.1, respectively, p=0.0014). SHBG was significantly higher in the T1D than the non-DM subjects the morning of the clamp (p<0.0001) and during each phase of the menstrual cycle (p = 0.01). TT was significantly higher in T1D women during the early follicular phase of the menstrual cycle (p=0.02) and was negatively correlated with GIR (r = -0.54, p = 0.04). E2 during the early follicular phase was positively correlated with GIR (r = 0.83, p = 0.01). In multivariable analysis, the difference in the GIR was attenuated by 58%(1-(5.1/12.14)) (least squares mean ± SE: 10.9 ± 1.7 in T1D vs. 16.0 ± 1.5 in non-DM, p = 0.07) after adjusting for age, diabetes status, minutes of vigorous activity, average waist circumference, free estradiol index and testosterone during the early follicular phase of the menstrual cycle In conclusion, the decreased insulin sensitivity observed in premenopausal T1D women with regular menstrual cycles can be mostly explained by lower levels of physical activity, greater central adiposity and differences in sex hormone levels. Most of these factors are modifiable, and so could be important targets in the reduction of CVD.


2007 ◽  
Vol 9 (2) ◽  
pp. 176-182 ◽  
Author(s):  
Kimberly K. Trout ◽  
Michael R. Rickels ◽  
Mark H. Schutta ◽  
Maja Petrova ◽  
Ellen W. Freeman ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1054-P
Author(s):  
MICHELE SCHIAVON ◽  
ALFONSO GALDERISI ◽  
KRISTEN A. KRAEMER ◽  
CLAUDIO COBELLI ◽  
CHIARA DALLA MAN ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1129-P
Author(s):  
ANNE L. PETERS ◽  
THOMAS DANNE ◽  
SANGEETA SAWHNEY ◽  
PHILLIP L. BANKS ◽  
MICHAEL J. DAVIES ◽  
...  

2021 ◽  
pp. 193229682110123
Author(s):  
Chiara Roversi ◽  
Martina Vettoretti ◽  
Simone Del Favero ◽  
Andrea Facchinetti ◽  
Pratik Choudhary ◽  
...  

Background: In the management of type 1 diabetes (T1D), systematic and random errors in carb-counting can have an adverse effect on glycemic control. In this study, we performed an in silico trial aiming at quantifying the impact of different levels of carb-counting error on glycemic control. Methods: The T1D patient decision simulator was used to simulate 7-day glycemic profiles of 100 adults using open-loop therapy. The simulation was repeated for different values of systematic and random carb-counting errors, generated with Gaussian distribution varying the error mean from -10% to +10% and standard deviation (SD) from 0% to 50%. The effect of the error was evaluated by computing the difference of time inside (∆TIR), above (∆TAR) and below (∆TBR) the target glycemic range (70-180mg/dl) compared to the reference case, that is, absence of error. Finally, 3 linear regression models were developed to mathematically describe how error mean and SD variations result in ∆TIR, ∆TAR, and ∆TBR changes. Results: Random errors globally deteriorate the glycemic control; systematic underestimations lead to, on average, up to 5.2% more TAR than the reference case, while systematic overestimation results in up to 0.8% more TBR. The different time in range metrics were linearly related with error mean and SD ( R2>0.95), with slopes of [Formula: see text], [Formula: see text] for ∆TIR, [Formula: see text], [Formula: see text] for ∆TAR, and [Formula: see text], [Formula: see text] for ∆TBR. Conclusions: The quantification of carb-counting error impact performed in this work may be useful understanding causes of glycemic variability and the impact of possible therapy adjustments or behavior changes in different glucose metrics.


Sign in / Sign up

Export Citation Format

Share Document