Impact of mismatches in HbA


Journal

Diabetic medicine : a journal of the British Diabetic Association
ISSN: 1464-5491
Titre abrégé: Diabet Med
Pays: England
ID NLM: 8500858

Informations de publication

Date de publication:
04 2020
Historique:
accepted: 11 11 2019
pubmed: 14 11 2019
medline: 8 6 2021
entrez: 14 11 2019
Statut: ppublish

Résumé

To determine whether HbA In a cross-sectional study, 3106 participants without known diabetes underwent a 75-g oral glucose tolerance test (fasting glucose and 2-h glucose) and a 50-g glucose challenge test (1-h glucose) on separate days. They were classified by oral glucose tolerance test results as having: normal glucose metabolism; prediabetes; or diabetes. Predicted HbA Those participants with higher mismatches were more likely to be black, to be men, to be older, and to have higher BMI (all P<0.001). Using oral glucose tolerance test criteria, the distribution of normal glucose metabolism, prediabetes and diabetes was similar across mismatch tertiles; however, using HbA Measuring only HbA

Identifiants

pubmed: 31721287
doi: 10.1111/dme.14181
doi:

Substances chimiques

Blood Glucose 0
Glycated Hemoglobin A 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

689-696

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK111024
Pays : United States
Organisme : NIDDK NIH HHS
ID : R21 DK099716
Pays : United States
Organisme : CSRD VA
ID : I01 CX001737
Pays : United States
Organisme : NIDDK NIH HHS
ID : R21 DK105891
Pays : United States
Organisme : NIH HHS
ID : R03 AI133172
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002378
Pays : United States
Organisme : NIDDK NIH HHS
ID : U34 DK091958
Pays : United States

Informations de copyright

Published 2019. This article is a U.S. Government work and is in the public domain in the USA.

Références

American Diabetes Association. 6. Glycemic Targets: Standards of Medical Care in Diabetes-2018. Diabetes Care 2018; 41 (Suppl.1): S55-S64.
Selvin E, Crainiceanu CM, Brancati FL, Coresh J. Short-term variability in measures of glycemia and implications for the classification of diabetes. Arch Intern Med 2007; 167: 1545-1551.
Hempe JM, Liu S, Myers L, McCarter RJ, Buse JB, Fonseca V. The hemoglobin glycation index identifies subpopulations with harms or benefits from intensive treatment in the ACCORD trial. Diabetes Care 2015; 38: 1067-1074.
Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ. Translating the A1C assay into estimated average glucose values. Diabetes Care 2008; 31: 1473-1478.
Bergenstal RM, Gal RL, Connor CG, Gubitosi-Klug R, Kruger D, Olson BA et al. Racial Differences in the Relationship of Glucose Concentrations and Hemoglobin A1c Levels. Ann Intern Med 2017; 167: 95-102.
Phillips LS, Ziemer DC, Kolm P, Weintraub WS, Vaccarino V, Rhee MK et al. Glucose challenge test screening for prediabetes and undiagnosed diabetes. Diabetologia 2009; 52: 1798-1807.
Jackson SL, Safo SE, Staimez LR, Olson DE, Narayan KMV, Long Q et al. Glucose challenge test screening for prediabetes and early diabetes. Diabet Med 2017; 34: 716-724.
Huber PJ. The behavior of maximum likelihood estimates under nonstandard conditions. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability: Berkeley, CA: University of California Press, 1967. pp. 221-233.
Lumley T, Diehr P, Emerson S, Chen L. The importance of the normality assumption in large public health data sets. Annu Rev Public Health 2002; 23: 151-169.
Beck RW, Connor CG, Mullen DM, Wesley DM, Bergenstal RM. The Fallacy of Average: How Using HbA1c Alone to Assess Glycemic Control Can Be Misleading. Diabetes Care 2017; 40: 994-999.
Bergenstal RM, Beck RW, Close KL, Grunberger G, Sacks DB, Kowalski A et al. Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring. Diabetes Care 2018; 41: 2275-2280.
Lachin JM, Genuth S, Nathan DM, Rutledge BN. The hemoglobin glycation index is not an independent predictor of the risk of microvascular complications in the Diabetes Control and Complications Trial. Diabetes 2007; 56: 1913-1921.
Cowie CC, Rust KF, Byrd-Holt DD, Gregg EW, Ford ES, Geiss LS et al. Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988-2006. Diabetes Care 2010; 33: 562-568.
Olson DE, Rhee MK, Herrick K, Ziemer DC, Twombly JG, Phillips LS. Screening for diabetes and pre-diabetes with proposed A1C-based diagnostic criteria. Diabetes Care 2010; 33: 2184-2189.
Pani LN, Korenda L, Meigs JB, Driver C, Chamany S, Fox CS et al. Effect of aging on A1C levels in individuals without diabetes: evidence from the Framingham Offspring Study and the National Health and Nutrition Examination Survey 2001-2004. Diabetes Care 2008; 31: 1991-1996.
Herman WH. Are There Clinical Implications of Racial Differences in HbA1c? Yes, to Not Consider Can Do Great Harm!. Diabetes Care 2016; 39: 1458-1461.
Cavagnolli G, Pimentel AL, Freitas PA, Gross JL, Camargo JL. Effect of ethnicity on HbA1c levels in individuals without diabetes: Systematic review and meta-analysis. PLoS One 2017; 12: e0171315.
Meyer C, Pimenta W, Woerle HJ, Van HT, Szoke E, Mitrakou A et al. Different mechanisms for impaired fasting glucose and impaired postprandial glucose tolerance in humans. Diabetes Care 2006; 29: 1909-1914.
Hempe JM, Gomez R, McCarter RJ, Jr, Chalew SA. High and low hemoglobin glycation phenotypes in type 1 diabetes: a challenge for interpretation of glycemic control. J Diabetes Complications 2002; 16: 313-320.
Chalew SA, McCarter RJ, Ory-Ascani J, Hempe JM. Labile A1C is inversely correlated with the hemoglobin glycation index in children with type 1 diabetes. Diabetes Care 2010; 33: 273-274.
Cohen RM, Franco RS, Khera PK, Smith EP, Lindsell CJ, Ciraolo PJ et al. Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c. Blood 2008; 112: 4284-4291.
Lacy ME, Wellenius GA, Sumner AE, Correa A, Carnethon MR, Liem RI et al. Association of Sickle Cell Trait With Hemoglobin A1c in African Americans. JAMA 2017; 317: 507-515.
Wheeler E, Leong A, Liu CT, Hivert MF, Strawbridge RJ, Podmore C et al. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med 2017; 14: e1002383.
Malka R, Nathan DM, Higgins JM. Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring. Sci Transl Med 2016; 8: 359ra130.
Karter AJ, Lipska KJ, O'Connor PJ, Liu JY, Moffet HH, Schroeder EB et al. High rates of severe hypoglycemia among African American patients with diabetes: the surveillance, prevention, and Management of Diabetes Mellitus (SUPREME-DM) network. J Diabetes Complications 2017; 31: 869-873.
Lipska KJ, Ross JS, Wang Y, Inzucchi SE, Minges K, Karter AJ et al. National trends in US hospital admissions for hyperglycemia and hypoglycemia among Medicare beneficiaries, 1999 to 2011. JAMA Intern Med 2014; 174: 1116-1124.
Herman WH, Ye W, Griffin SJ, Simmons RK, Davies MJ, Khunti K et al. Early Detection and Treatment of Type 2 Diabetes Reduce Cardiovascular Morbidity and Mortality: A Simulation of the Results of the Anglo-Danish-Dutch Study of Intensive Treatment in People With Screen-Detected Diabetes in Primary Care (ADDITION-Europe). Diabetes Care 2015; 38: 1449-1455.
Welsh KJ, Kirkman MS, Sacks DB. Role of Glycated Proteins in the Diagnosis and Management of Diabetes: Research Gaps and Future Directions. Diabetes Care 2016; 39: 1299-1306.
van Steen SC, Schrieks IC, Hoekstra JB, Lincoff AM, Tardif JC, Mellbin LG et al. The haemoglobin glycation index as predictor of diabetes-related complications in the AleCardio trial. Eur J Prev Cardiol 2017; 24: 858-866.
Ahn CH, Min SH, Lee DH, Oh TJ, Kim KM, Moon JH et al. Hemoglobin Glycation Index Is Associated With Cardiovascular Diseases in People With Impaired Glucose Metabolism. J Clin Endocrinol Metab 2017; 102: 2905-2913.

Auteurs

A Gonzalez (A)

Atlanta VA Health Care System, Decatur, GA, USA.
Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

Y Deng (Y)

Atlanta VA Health Care System, Decatur, GA, USA.
Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.

A N Lane (AN)

Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.

D Benkeser (D)

Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.

X Cui (X)

Atlanta VA Health Care System, Decatur, GA, USA.
Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.

L R Staimez (LR)

Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

C N Ford (CN)

Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

F N Khan (FN)

Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA.

S C Markley Webster (SC)

Atlanta VA Health Care System, Decatur, GA, USA.
Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

A Leong (A)

Endocrine Unit, Diabetes Unit, Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.

P W F Wilson (PWF)

Atlanta VA Health Care System, Decatur, GA, USA.
Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

L S Phillips (LS)

Atlanta VA Health Care System, Decatur, GA, USA.
Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

M K Rhee (MK)

Atlanta VA Health Care System, Decatur, GA, USA.
Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH