Literature DB >> 31150721

Isolated HbA1c identifies a different subgroup of individuals with type 2 diabetes compared to fasting or post-challenge glucose in Asian Indians: The CARRS and MASALA studies.

U P Gujral1, D Prabhakaran2, R Pradeepa3, N R Kandula4, D Kondal5, M Deepa3, N A Zakai6, R M Anjana7, G Rautela8, V Mohan9, K M V Narayan10, N Tandon11, A M Kanaya12.   

Abstract

AIMS: Guidelines recommend hemoglobin A1c (HbA1c) as a diagnostic test for type 2 diabetes, but its accuracy may differ in certain ethnic groups.
METHODS: The prevalence of type 2 diabetes by HbA1c, fasting glucose, and 2 h glucose was compared in 3016 participants from Chennai and Delhi, India from the CARRS-2 Study to 757 Indians in the U.S. from the MASALA Study. Type 2 diabetes was defined as fasting glucose ≥ 7.0 mmol/L, 2-h glucose ≥ 11.1 mmol/L, or HbA1c ≥ 6.5%. Isolated HbA1c diabetes was defined as HbA1c ≥ 6.5% with fasting glucose < 7.0 mmol/L and 2 h glucose < 11.1 mmol/L.
RESULTS: The age, sex, and BMI adjusted prevalence of diabetes by isolated HbA1c was 2.9% (95% CI: 2.2-4.0), 3.1% (95% CI: 2.3-4.1), and 0.8% (95% CI: 0.4-1.8) in CARRS-Chennai, CARRS-Delhi, and MASALA, respectively. The proportion of diabetes diagnosed by isolated HbA1c was 19.4%, 26.8%, and 10.8% in CARRS-Chennai, CARRS-Delhi, and MASALA respectively. In CARRS-2, individuals with type 2 diabetes by isolated HbA1c milder cardio-metabolic risk than those diagnosed by fasting or 2-h measures.
CONCLUSIONS: In Asian Indians, the use of HbA1c for type 2 diabetes diagnosis could result in a higher prevalence. HbA1c may identify a subset of individuals with milder glucose intolerance.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnostic criteria; HbA1c; Type 2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 31150721      PMCID: PMC6635041          DOI: 10.1016/j.diabres.2019.05.026

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  19 in total

1.  Use of GHb (HbA1c) in screening for undiagnosed diabetes in the U.S. population.

Authors:  C L Rohlfing; R R Little; H M Wiedmeyer; J D England; R Madsen; M I Harris; K M Flegal; M S Eberhardt; D E Goldstein
Journal:  Diabetes Care       Date:  2000-02       Impact factor: 19.112

Review 2.  Ethnicity and type 2 diabetes: focus on Asian Indians.

Authors:  N Abate; M Chandalia
Journal:  J Diabetes Complications       Date:  2001 Nov-Dec       Impact factor: 2.852

3.  Prevalence of diabetes in Asian Indians based on glycated hemoglobin and fasting and 2-H post-load (75-g) plasma glucose (CURES-120).

Authors:  Adamsha Nazir; Rozario Papita; Viknesh Prabu Anbalagan; Ranjit Mohan Anjana; Mohan Deepa; Viswanathan Mohan
Journal:  Diabetes Technol Ther       Date:  2012-07-23       Impact factor: 6.118

4.  Moderate physical activity patterns of minority women: the Cross-Cultural Activity Participation Study.

Authors:  B E Ainsworth; M L Irwin; C L Addy; M C Whitt; L M Stolarczyk
Journal:  J Womens Health Gend Based Med       Date:  1999 Jul-Aug

5.  HbA(1c) measurement for the diagnosis of diabetes: is it enough?

Authors:  G Cavagnolli; J Comerlato; C Comerlato; P B Renz; J L Gross; J L Camargo
Journal:  Diabet Med       Date:  2011-01       Impact factor: 4.359

6.  International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes.

Authors: 
Journal:  Diabetes Care       Date:  2009-06-05       Impact factor: 17.152

7.  Hemoglobin variants detected by hemoglobin A1c (HbA1c) analysis and the effects on HbA1c measurements.

Authors:  Nadzimah Mohd Nasir; M Thevarajah; Chew Yee Yean
Journal:  Int J Diabetes Dev Ctries       Date:  2010-04

8.  A1C and diabetes diagnosis among Filipino Americans, Japanese Americans, and Native Hawaiians.

Authors:  Maria Rosario G Araneta; Andrew Grandinetti; Healani K Chang
Journal:  Diabetes Care       Date:  2010-09-10       Impact factor: 19.112

9.  Moving to an A1C-based diagnosis of diabetes has a different impact on prevalence in different ethnic groups.

Authors:  Dirk L Christensen; Daniel R Witte; Lydia Kaduka; Marit E Jørgensen; Knut Borch-Johnsen; Viswanathan Mohan; Jonathan E Shaw; Adam G Tabák; Dorte Vistisen
Journal:  Diabetes Care       Date:  2009-12-15       Impact factor: 19.112

10.  Oral disposition index predicts the development of future diabetes above and beyond fasting and 2-h glucose levels.

Authors:  Kristina M Utzschneider; Ronald L Prigeon; Mirjam V Faulenbach; Jenny Tong; Darcy B Carr; Edward J Boyko; Donna L Leonetti; Marguerite J McNeely; Wilfred Y Fujimoto; Steven E Kahn
Journal:  Diabetes Care       Date:  2008-10-28       Impact factor: 19.112

View more
  8 in total

1.  Pitfalls of HbA1c in the Diagnosis of Diabetes.

Authors:  Michael Bergman; Muhammad Abdul-Ghani; João Sérgio Neves; Mariana P Monteiro; Jose Luiz Medina; Brenda Dorcely; Martin Buysschaert
Journal:  J Clin Endocrinol Metab       Date:  2020-08-01       Impact factor: 5.958

2.  Implications of the 2019 American College of Cardiology/American Heart Association Primary Prevention Guidelines and potential value of the coronary artery calcium score among South Asians in the US: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) study.

Authors:  Waqas Haque; Gowtham R Grandhi; Alka M Kanaya; Namratha R Kandula; Khurram Nasir; Mahmoud Al Rifai; S M Iftekhar Uddin; Ugo Fedeli; Naveed Sattar; Roger S Blumenthal; Michael J Blaha; Miguel Cainzos-Achirica
Journal:  Atherosclerosis       Date:  2021-08-23       Impact factor: 6.847

3.  Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016.

Authors:  Yiling J Cheng; Alka M Kanaya; Maria Rosario G Araneta; Sharon H Saydah; Henry S Kahn; Edward W Gregg; Wilfred Y Fujimoto; Giuseppina Imperatore
Journal:  JAMA       Date:  2019-12-24       Impact factor: 56.272

Review 4.  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

Review 5.  Epidemiology of diabetes among South Asians in the United States: lessons from the MASALA study.

Authors:  Unjali P Gujral; Alka M Kanaya
Journal:  Ann N Y Acad Sci       Date:  2020-11-20       Impact factor: 6.499

6.  Incidence of diabetes in South Asian young adults compared to Pima Indians.

Authors:  K M Venkat Narayan; Dimple Kondal; Sayuko Kobes; Lisa R Staimez; Deepa Mohan; Unjali P Gujral; Shivani A Patel; Ranjit Mohan Anjana; Roopa Shivashankar; Mohammed K Ali; Howard H Chang; Masood Kadir; Dorairaj Prabhakaran; Natalie Daya; Elizabeth Selvin; Nikhil Tandon; Robert Hanson; Viswanathan Mohan
Journal:  BMJ Open Diabetes Res Care       Date:  2021-03

7.  Variability in Annual Fasting Glucose and the Risk of Peripheral Artery Disease in Patients with Diabetes Mellitus.

Authors:  Yu-Shan Chang; Liang-Yi Lee; I-Te Lee
Journal:  Diabetes Metab Syndr Obes       Date:  2021-09-24       Impact factor: 3.168

8.  Lifetime risk of diabetes in metropolitan cities in India.

Authors:  Shammi Luhar; Dimple Kondal; Rebecca Jones; Ranjit M Anjana; Shivani A Patel; Sanjay Kinra; Lynda Clarke; Mohammed K Ali; Dorairaj Prabhakaran; M Masood Kadir; Nikhil Tandon; Viswanathan Mohan; K M Venkat Narayan
Journal:  Diabetologia       Date:  2020-11-23       Impact factor: 10.122

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.