Literature DB >> 23631606

Abnormal glycemic profiles by CGMS in obese first-degree relatives of type 2 diabetes mellitus patients.

Sri Venkata Madhu1, Subrat Kumar Muduli, Rajnish Avasthi.   

Abstract

INTRODUCTION: The conventionally used oral glucose tolerance test (OGTT) has been the mainstay for diagnosis of diabetes and prediabetes. However, recent studies have indicated that a continuous glucose monitoring system (CGMS) could detect impaired glycemia much earlier than OGTT, especially in certain groups. We aimed to study the 24-h glucose profile of high-risk obese first-degree relatives of type 2 diabetes patients by CGMS and ascertain if it was better than OGTT for early detection of type 2 diabetes. SUBJECTS AND METHODS: CGMS data of 20 subjects each in normal glucose tolerance (NGT), impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and newly detected diabetes mellitus (NDDM) groups were obtained. We considered minimum, maximum, mean, and range of glucose levels as well as number, duration, and area under the curve (AUC) for excursions.
RESULTS: We found three (15%) NGT, seven (35%) IFG, and eight (40%) IGT subjects showed excursions in the diabetes range, whereas 18 (90%) NGT and 17 (85%) pure IFG subjects showed excursions in the IGT range. The maximum glucose values for NGT and IFG subjects were 176.0±41.4 mg/dL and 186.5±39.3 mg/dL, respectively, which is much above the present 2-h OGTT cutoff limit of 140 mg/dL. However, the average number of excursions and AUC of excursions did not differ significantly among the NGT, IFG, and IGT groups. The differences in the duration of excursion between NGT subjects with IFG values and NGT subjects with IGT values were statistically significant for an excursion limit of 140 mg/dL. However, this did not differ significantly between the IFG and IGT groups.
CONCLUSIONS: CGMS indicated the presence of significant dysglycemia in first-degree relatives of diabetes patients without diabetes who were centrally obese. Hence it could be useful for early identification of individuals at greater risk of diabetes. A deranged glycemic profile may precede onset of overt diabetes by a long time, which may partly explain why some patients with new-onset type 2 diabetes or even prediabetes present with vascular complications at the outset.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23631606     DOI: 10.1089/dia.2012.0333

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  10 in total

1.  Glycemic variability in normal glucose regulation subjects with elevated 1-h postload plasma glucose levels.

Authors:  Jian-Bin Su; Tong Chen; Feng Xu; Xue-Qin Wang; Jin-Feng Chen; Gang Wu; Yan Jin; Xiao-Hua Wang
Journal:  Endocrine       Date:  2013-09-13       Impact factor: 3.633

2.  High-normal serum thyrotropin levels and increased glycemic variability in type 2 diabetic patients.

Authors:  Jian-Bin Su; Li-Hua Zhao; Xiu-Lin Zhang; Hong-Li Cai; Hai-Yan Huang; Feng Xu; Tong Chen; Xue-Qin Wang
Journal:  Endocrine       Date:  2018-04-12       Impact factor: 3.633

3.  Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data.

Authors:  Giada Acciaroli; Giovanni Sparacino; Liisa Hakaste; Andrea Facchinetti; Giorgio Maria Di Nunzio; Alessandro Palombit; Tiinamaija Tuomi; Rafael Gabriel; Jaime Aranda; Saturio Vega; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2017-06-01

Review 4.  Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes.

Authors:  David Rodbard
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

Review 5.  Review of methods for detecting glycemic disorders.

Authors:  Michael Bergman; Muhammad Abdul-Ghani; Ralph A DeFronzo; Melania Manco; Giorgio Sesti; Teresa Vanessa Fiorentino; Antonio Ceriello; Mary Rhee; Lawrence S Phillips; Stephanie Chung; Celeste Cravalho; Ram Jagannathan; Louis Monnier; Claude Colette; David Owens; Cristina Bianchi; Stefano Del Prato; Mariana P Monteiro; João Sérgio Neves; Jose Luiz Medina; Maria Paula Macedo; Rogério Tavares Ribeiro; João Filipe Raposo; Brenda Dorcely; Nouran Ibrahim; Martin Buysschaert
Journal:  Diabetes Res Clin Pract       Date:  2020-06-01       Impact factor: 5.602

6.  Glycemic variability in normal glucose tolerance women with the previous gestational diabetes mellitus.

Authors:  Yong-Mei Wang; Li-Hua Zhao; Jian-Bin Su; Hai-Feng Qiao; Xiao-Hua Wang; Feng Xu; Tong Chen; Jin-Feng Chen; Gang Wu; Xue-Qin Wang
Journal:  Diabetol Metab Syndr       Date:  2015-09-24       Impact factor: 3.320

7.  Effects of Acute Ingestion of Native Banana Starch on Glycemic Response Evaluated by Continuous Glucose Monitoring in Obese and Lean Subjects.

Authors:  Guadalupe Jiménez-Domínguez; Jorge L Ble-Castillo; María A Aparicio-Trápala; Isela E Juárez-Rojop; Carlos A Tovilla-Zárate; Deysi J Ble-Castillo; Carlos García-Vázquez; Viridiana Olvera-Hernández; Bedelia Pérez-Pimienta; Juan C Diaz-Zagoya; José D Mendez
Journal:  Int J Environ Res Public Health       Date:  2015-07-06       Impact factor: 3.390

Review 8.  Controversies and Advances in Gestational Diabetes-An Update in the Era of Continuous Glucose Monitoring.

Authors:  Marina P Carreiro; Anelise I Nogueira; Antonio Ribeiro-Oliveira
Journal:  J Clin Med       Date:  2018-01-25       Impact factor: 4.241

Review 9.  Continuous glucose monitoring system and new era of early diagnosis of diabetes in high risk groups.

Authors:  Ashraf Soliman; Vincenzo DeSanctis; Mohamed Yassin; Rania Elalaily; Nagwa E Eldarsy
Journal:  Indian J Endocrinol Metab       Date:  2014-05

10.  GLU: a software package for analysing continuously measured glucose levels in epidemiology.

Authors:  Louise A C Millard; Nashita Patel; Kate Tilling; Melanie Lewcock; Peter A Flach; Debbie A Lawlor
Journal:  Int J Epidemiol       Date:  2020-06-01       Impact factor: 7.196

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.