Literature DB >> 10871201

Can clinical factors estimate insulin resistance in type 1 diabetes?

K V Williams1, J R Erbey, D Becker, S Arslanian, T J Orchard.   

Abstract

An insulin resistance syndrome (IRS) score was developed based on clinical risk factors in adults with childhood-onset type 1 diabetes in the Epidemiology of Diabetes Complications (EDC) Study and was validated using euglycemic-hyperinsulinemic clamp studies. Hypertension, waist-to-hip ratio (WHR), triglyceride and HDL cholesterol levels, family history of type 2 diabetes, and glycemic control were risk factors used to define the score. A score of 1 (lowest likelihood IRS) to 3 (highest likelihood IRS) was assigned for each risk factor. Eligible subjects (n = 24) were recruited from the EDC cohort based on tertile of IRS score. Subjects received an overnight insulin infusion to normalize glucose levels, then underwent a 3-h euglycemic-hyperinsulinemic (60 mU x m(-2) x min(-1)) clamp. Glucose disposal rate (GDR) was determined during the last 30 min of the clamp. The GDR differed significantly by IRS group (9.65 +/- 2.99, 8.02 +/- 1.39, and 5.68 +/- 2.16 mg x kg(-1) x min(-1), P < 0.01). The GDR was inversely correlated with the IRS score (r = -0.64, P < 0.01). Using linear regression, the combination of risk factors that yielded the highest adjusted r2 value (0.57, P < 0.001) were WHR, hypertension, and HbA1. This study found that clinical risk factors can be used to identify subjects with type 1 diabetes who are insulin resistant, and it provides validation of a score based on clinical factors to determine the extent of insulin resistance in type 1 diabetes. This score will be applied to the entire EDC population in future studies to determine the effect of insulin resistance on complications.

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Year:  2000        PMID: 10871201     DOI: 10.2337/diabetes.49.4.626

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  114 in total

1.  Development of a coronary heart disease risk prediction model for type 1 diabetes: the Pittsburgh CHD in Type 1 Diabetes Risk Model.

Authors:  Janice C Zgibor; Kristine Ruppert; Trevor J Orchard; Sabita S Soedamah-Muthu; John Fuller; Nish Chaturvedi; Mark S Roberts
Journal:  Diabetes Res Clin Pract       Date:  2010-03-16       Impact factor: 5.602

2.  Risk factor associations with clinical distal symmetrical polyneuropathy and various neuropathy screening instruments and protocols in type 1 diabetes.

Authors:  G Pambianco; T Costacou; Elsa Strotmeyer; T J Orchard
Journal:  Diabetes Res Clin Pract       Date:  2010-10-28       Impact factor: 5.602

3.  Increased levels of mannan-binding lectin in type 1 diabetic patients with incipient and overt nephropathy.

Authors:  M Saraheimo; C Forsblom; T K Hansen; A-M Teppo; J Fagerudd; K Pettersson-Fernholm; S Thiel; L Tarnow; P Ebeling; A Flyvbjerg; P-H Groop
Journal:  Diabetologia       Date:  2004-12-23       Impact factor: 10.122

4.  The prospective association between adiponectin and coronary artery disease among individuals with type 1 diabetes. The Pittsburgh Epidemiology of Diabetes Complications Study.

Authors:  T Costacou; J C Zgibor; R W Evans; J Otvos; M F Lopes-Virella; R P Tracy; T J Orchard
Journal:  Diabetologia       Date:  2004-12-23       Impact factor: 10.122

5.  Risk Factor Modeling for Cardiovascular Disease in Type 1 Diabetes in the Pittsburgh Epidemiology of Diabetes Complications (EDC) Study: A Comparison With the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study (DCCT/EDIC).

Authors:  Rachel G Miller; Tina Costacou; Trevor J Orchard
Journal:  Diabetes       Date:  2018-11-08       Impact factor: 9.461

6.  Relative Hypoxia and Early Diabetic Kidney Disease in Type 1 Diabetes.

Authors:  Carissa Vinovskis; Lu-Ping Li; Pottumarthi Prasad; Kalie Tommerdahl; Laura Pyle; Robert G Nelson; Meda E Pavkov; Daniel van Raalte; Marian Rewers; Marlon Pragnell; Farid H Mahmud; David Z Cherney; Richard J Johnson; Kristen J Nadeau; Petter Bjornstad
Journal:  Diabetes       Date:  2020-07-31       Impact factor: 9.461

7.  Progression of coronary artery calcium in type 1 diabetes mellitus.

Authors:  Tina Costacou; Daniel Edmundowicz; Catherine Prince; Baqiyyah Conway; Trevor J Orchard
Journal:  Am J Cardiol       Date:  2007-09-27       Impact factor: 2.778

8.  Progression to microalbuminuria in type 1 diabetes: development and validation of a prediction rule.

Authors:  Y Vergouwe; S S Soedamah-Muthu; J Zgibor; N Chaturvedi; C Forsblom; J K Snell-Bergeon; D M Maahs; P-H Groop; M Rewers; T J Orchard; J H Fuller; K G M Moons
Journal:  Diabetologia       Date:  2009-11-04       Impact factor: 10.122

9.  Relationship between cystatin C and coronary artery atherosclerosis progression differs by type 1 diabetes.

Authors:  David M Maahs; Janet K Snell-Bergeon; John E Hokanson; Gregory L Kinney; Tomas Berl; Marian Rewers; Lorraine G Ogden
Journal:  Diabetes Technol Ther       Date:  2010-01       Impact factor: 6.118

Review 10.  Why do some patients with type 1 diabetes live so long?

Authors:  Larry A Distiller
Journal:  World J Diabetes       Date:  2014-06-15
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