Estimated Glucose Disposal Rate in Assessment of the Metabolic Syndrome and Microvascular Complications in Patients with Type 1 Diabetes

Chillarón, Josep; Goday, Alberto; Flores-Le-Roux, Juana A.; Benaiges, David; Carrera, María; Puig, Jaume; Cano-Pérez, Juan F.; Pedro‐Botet, Juan

doi:10.1210/mend.23.9.9996

Cited by 24 publications

(46 citation statements)

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“…A number of clinical trials [1][2][3][4][5] have shown an increased incidence of chronic complications in people with type 1 diabetes mellitus (T1DM) with insulin resistance (IR) compared to T1DM subjects without IR. Estimated glucose disposal rate (eGDR) was shown to be an important indicator of IR in patients with T1DM, lower eGDR levels indicating greater IR [1][2][3]. eGDR validation as a marker of IR in patients with T1DM was made using euglycemichyperinsulinemic clamp studies performed on 24 non-hispanic whites adults, participants in the 178…”

Section: Background and Aimsmentioning

confidence: 99%

Estimated Glucose Disposal Rate (eGDR) – A Marker for the Assessment of Insulin Resistance in Type 1 Diabetes Mellitus

Bîcu

Gârgavu³

et al. 2016

Romanian Journal of Diabetes Nutrition and Metabolic Diseases

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Background and Aims: Studies have shown an increased incidence of chronic complications in people with type 1 diabetes mellitus (T1DM) with insulin resistance (IR) compared to people with T1DM without IR. Estimated glucose disposal rate (eGDR) is an important indicator of IR in patients with T1DM, lower eGDR levels indicating greater IR. It was shown that T1DM patients with chronic complications (diabetic retinopathy - DR, diabetic peripheral neuropathy - DPN or diabetic kidney disease - DKD) exhibit higher IR compared to patients without chronic complications. The aim of our study was to evaluate eGDR as a marker for the assessment of IR in T1DM patients.Materials and Methods: The study was observational, cross-sectional and included 140 T1DM patients with diabetes duration>10 years. The collected data were analyzed using the Statistic Package for Social Sciences (SPSS) version 22 software (IBM Corporation, Armonk, NY, USA).Results: eGDR presented statistically significant correlations (p<0.05) with the presence of metabolic syndrome (MS), obesity, chronic complications of T1DM, cardiovascular risk (CVR) and smoking status in patients with T1DM duration >10 years.Conclusions: eGDR represents a reliable marker for assessing the IR in T1DM.

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Section: Background and Aimsmentioning

confidence: 99%

Estimated Glucose Disposal Rate (eGDR) – A Marker for the Assessment of Insulin Resistance in Type 1 Diabetes Mellitus

Bîcu

Gârgavu³

et al. 2016

Romanian Journal of Diabetes Nutrition and Metabolic Diseases

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“…In recent years, the cardiovascular risk profile of patients with type 1 diabetes mellitus has become more similar to that of type 2 diabetes, mainly due to the high prevalence of overweight and obesity which affects 50% of patients with type 1 diabetes mellitus [9]. Therefore, type 1 diabetes patients frequently present metabolic syndrome components, resulting in the so‐called “double diabetes” [9–12]. This phenotype similarity between type 2 and type 1 diabetes suggests that HH could also be more frequent in type 1 diabetes subjects.…”

Section: Introductionmentioning

confidence: 99%

Age, Insulin Requirements, Waist Circumference, and Triglycerides Predict Hypogonadotropic Hypogonadism in Patients with Type 1 Diabetes

Chillarón

Fernández-Miró²,

Albareda

et al. 2015

The Journal of Sexual Medicine

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Introduction The prevalence of hypogonadotropic hypogonadism (HH) in patients with type 2 diabetes mellitus is higher than in the general population and leads to detrimental effects on metabolic control, lipid profile, and body composition. Few studies have examined its role in type 1 diabetes mellitus. Aim To determine the prevalence of HH in patients with type 1 diabetes and associated risk factors. Main Outcome Measures Clinical and biochemical parameters were gathered on initial evaluation. An HH score creating different experimental models was devised to calculate the risk of HH for an individual with type 1 diabetes. Methods Cross-sectional study of 181 male patients with type 1 diabetes consecutively admitted to the Diabetes outpatient clinics of three urban hospitals. All participants were Caucasians aged ≥ 18 years with type 1 diabetes duration of more than 6 months. Results One hundred and eighty-one male patients with a mean age of 44.2 ± 13.2 years and a type 1 diabetes duration of 18.9 ± 12.7 years were included. Fifteen patients had HH, representing a prevalence of 8.3% (95% confidence interval [CI]: 4.3–12.3%). Age (odds ratio [OR] 1.066 [95% CI: 1.002–1.134]), waist circumference (OR 1.112 [95% CI: 1028–1203]), and insulin requirements ([IU/Kg] ×10 [OR 1.486 {95% CI: 1052–2.098}]) were independently associated with the presence of HH. The model that best predicted HH generated this formula: HH-score = (1.060 × age) + (1.084 × waist circumference) + (14.00 × insulin requirements) + triglycerides, where age was expressed in years, waist circumference in cm, insulin requirements in IU/kg/d, and triglycerides in mg/dL. An HH score > 242.4 showed 100% sensitivity and 53.2% specificity for HH diagnosis; positive and negative predictive values were 17.0 % and 100%, respectively. Conclusions One in 10 men with type 1 diabetes presents HH. This condition is associated with age, waist circumference, and insulin requirements. A simple formula based on clinical parameters can rule out its presence.

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“…While the body mass index (BMI) of patients with T1DM was lower than the general population in years prior to the Diabetes Control and Complications Trial (DCCT) [1,2], more recent studies have shown that the percentage of patients with T1DM who are overweight or obese is close to 50 % [3]. In addition, between 12 and 40 % meet the criteria for metabolic syndrome [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Management of Severe Insulin Resistance in Patients with Type 1 Diabetes

Schechter¹,

Reutrakul

2015

Curr Diab Rep

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Managing severe insulin resistance (IR) in patients with type 1 diabetes (T1DM) can be challenging for both clinicians and patients. As average weight for patients with T1DM has increased in recent decades, IR in this population has become more widespread. Currently, almost 50 % of patients with T1DM are overweight or obese. While intensive insulin therapy is associated with reduction in complications, aggressive treatment can lead to weight gain. With increasing weight, insulin can become less effective to control glycemia, resulting in higher insulin doses and hence more weight gain. Novel strategies to break this vicious cycle are needed. This review will investigate current research on insulin formulations, lifestyle modification, adjunct therapies, and surgery that may help better manage patients with T1DM and IR.

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Estimated Glucose Disposal Rate in Assessment of the Metabolic Syndrome and Microvascular Complications in Patients with Type 1 Diabetes

Cited by 24 publications

References 0 publications

Estimated Glucose Disposal Rate (eGDR) – A Marker for the Assessment of Insulin Resistance in Type 1 Diabetes Mellitus

Estimated Glucose Disposal Rate (eGDR) – A Marker for the Assessment of Insulin Resistance in Type 1 Diabetes Mellitus

Age, Insulin Requirements, Waist Circumference, and Triglycerides Predict Hypogonadotropic Hypogonadism in Patients with Type 1 Diabetes

Management of Severe Insulin Resistance in Patients with Type 1 Diabetes

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