Literature DB >> 2661281

Secondary failure to oral hypoglycaemic agents in non-obese patients with non-insulin-dependent diabetes is related to reduced insulin release.

A E Pontiroli1, A Calderara, P Maffi, L Bonisolli, A Carenini, P M Piatti, L D Monti, G Gallus, G Pozza, M T Illeni.   

Abstract

The frequency of secondary failure to oral hypoglycaemic agents (OHA) in patients with non-insulin dependent diabetes (NIDDM) is still unknown, despite more than 30 years of use of OHA. The term secondary failure should be limited to patients who, despite maximal dosages of OHA and despite full compliance with diet and therapy, are no longer controlled and require insulin to obtain an acceptable glucose metabolism. We evaluated 248 out-patients, either on OHA, or on insulin because of poor metabolic control with OHA, in order to assess duration of treatment with OHA since diagnosis, by means of actuarial curves (Mantel-Cox test). Patients with low relative body weight (RBW less than or equal to 100) experienced secondary failure earlier and more often than obese patients (RBW greater than 120) or overweight (RBW 101-120) patients. In 66 of the above out-patients, 33 OHA-treated and 33 insulin-treated, matched for age at onset and duration of disease, islet-cell-antibodies (ICA) and C-peptide release at fasting, 6 min after i.v. glucagon and post prandially were evaluated. Only among lean and overweight patients, was C-peptide release significantly lower in insulin-treated than in OHA-treated patients; differences disappeared in obese patients. ICA were found in only 7 patients (10.6%). HLA phenotype was different from that of healthy blood donors for the loci HLA B5, B13, CW4, with no differences between OHA-treated and insulin-treated patients. These data indicate that secondary failure is more frequent in lean patients with NIDDM, and is related to reduced insulin release.

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Year:  1989        PMID: 2661281

Source DB:  PubMed          Journal:  Diabete Metab        ISSN: 0338-1684


  7 in total

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Authors:  L Scionti; P Misericordia; A Santucci; F Santeusanio; P Brunetti
Journal:  Acta Diabetol       Date:  1992       Impact factor: 4.280

2.  Genetic contribution of polymorphism of the GLUT1 and GLUT4 genes to the susceptibility to type 2 (non-insulin-dependent) diabetes mellitus in different populations.

Authors:  A E Pontiroli; F Capra; F Veglia; M Ferrari; K S Xiang; G I Bell; M G Baroni; D J Galton; J U Weaver; G A Hitman; P G Kopelman; V Mohan; M Viswanathan
Journal:  Acta Diabetol       Date:  1996-09       Impact factor: 4.280

3.  Factors for development of secondary failure to sulfonylurea drugs in non-insulin-dependent diabetes mellitus.

Authors:  A M Borissova; D G Koev; M G Minev; F G Martinova; P I Gencova; G G Kirilov; J Arnaudov
Journal:  Acta Diabetol Lat       Date:  1991 Jan-Mar

4.  Islet cell antibodies are associated with beta-cell failure also in obese adult onset diabetic patients.

Authors:  A Gottsäter; M Landin-Olsson; A Lernmark; P Fernlund; G Sundkvist
Journal:  Acta Diabetol       Date:  1994-12       Impact factor: 4.280

5.  Associations among body mass index, insulin resistance, and pancreatic β-cell function in Korean patients with new-onset type 2 diabetes.

Authors:  Jin Ook Chung; Dong Hyeok Cho; Dong Jin Chung; Min Young Chung
Journal:  Korean J Intern Med       Date:  2012-02-28       Impact factor: 2.884

6.  Parameters measuring beta-cell function are only valuable in diabetic subjects with low body mass index, high blood glucose level, or long-standing diabetes.

Authors:  Seung Won Lee; Sangheun Lee; Se Hwa Kim; Tae Ho Kim; Byung Soo Kang; Seung Hoon Yoo; Min Kyung Lee; Won Jun Koh; Won Sik Kang; Hyeong Jin Kim
Journal:  Yonsei Med J       Date:  2011-11       Impact factor: 2.759

7.  Beta-cell function in type 2 diabetic patients who failed to maintain good glycemic status with a combination of maximum dosages of metformin and sulfonylurea.

Authors:  Tada Kunavisarut; Sutin Sriussadaporn; Raweewan Lertwattanarak
Journal:  Diabetes Metab Syndr Obes       Date:  2019-05-21       Impact factor: 3.168

  7 in total

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