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Bergman M, Manco M, Satman I, Chan J, Schmidt MI, Sesti G, Vanessa Fiorentino T, Abdul-Ghani M, Jagannathan R, Kumar Thyparambil Aravindakshan P, Gabriel R, Mohan V, Buysschaert M, Bennakhi A, Pascal Kengne A, Dorcely B, Nilsson PM, Tuomi T, Battelino T, Hussain A, Ceriello A, Tuomilehto J. International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes. Diabetes Res Clin Pract 2024; 209:111589. [PMID: 38458916 DOI: 10.1016/j.diabres.2024.111589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
Many individuals with intermediate hyperglycaemia (IH), including impaired fasting glycaemia (IFG) and impaired glucose tolerance (IGT), as presently defined, will progress to type 2 diabetes (T2D). There is confirmatory evidence that T2D can be prevented by lifestyle modification and/or medications, in people with IGT diagnosed by 2-h plasma glucose (PG) during a 75-gram oral glucose tolerance test (OGTT). Over the last 40 years, a wealth of epidemiological data has confirmed the superior value of 1-h plasma glucose (PG) over fasting PG (FPG), glycated haemoglobin (HbA1c) and 2-h PG in populations of different ethnicity, sex and age in predicting diabetes and associated complications including death. Given the relentlessly rising prevalence of diabetes, a more sensitive, practical method is needed to detect people with IH and T2D for early prevention or treatment in the often lengthy trajectory to T2D and its complications. The International Diabetes Federation (IDF) Position Statement reviews findings that the 1-h post-load PG ≥ 155 mg/dL (8.6 mmol/L) in people with normal glucose tolerance (NGT) during an OGTT is highly predictive for detecting progression to T2D, micro- and macrovascular complications, obstructive sleep apnoea, cystic fibrosis-related diabetes mellitus, metabolic dysfunction-associated steatotic liver disease, and mortality in individuals with risk factors. The 1-h PG of 209 mg/dL (11.6 mmol/L) is also diagnostic of T2D. Importantly, the 1-h PG cut points for diagnosing IH and T2D can be detected earlier than the recommended 2-h PG thresholds. Taken together, the 1-h PG provides an opportunity to avoid misclassification of glycaemic status if FPG or HbA1c alone are used. The 1-h PG also allows early detection of high-risk people for intervention to prevent progression to T2D which will benefit the sizeable and growing population of individuals at increased risk of T2D. Using a 1-h OGTT, subsequent to screening with a non-laboratory diabetes risk tool, and intervening early will favourably impact the global diabetes epidemic. Health services should consider developing a policy for screening for IH based on local human and technical resources. People with a 1-h PG ≥ 155 mg/dL (8.6 mmol/L) are considered to have IH and should be prescribed lifestyle intervention and referred to a diabetes prevention program. People with a 1-h PG ≥ 209 mg/dL (11.6 mmol/L) are considered to have T2D and should have a repeat test to confirm the diagnosis of T2D and then referred for further evaluation and treatment. The substantive data presented in the Position Statement provides strong evidence for redefining current diagnostic criteria for IH and T2D by adding the 1-h PG.
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Affiliation(s)
- Michael Bergman
- NYU Grossman School of Medicine, Departments of Medicine and of Population Health, Division of Endocrinology, Diabetes and Metabolism, VA New York Harbor Healthcare System, New York, NY, USA.
| | - Melania Manco
- Predictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Ilhan Satman
- Istanbul University Faculty of Medicine, Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul, Turkey
| | - Juliana Chan
- The Chinese University of Hong Kong, Faculty of Medicine, Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Hong Kong, China
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio Texas, USA
| | - Ram Jagannathan
- Hubert Department of Global Health Rollins, School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Rafael Gabriel
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Viswanathan Mohan
- Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University, Clinic Saint-Luc, Brussels, Belgium
| | - Abdullah Bennakhi
- Dasman Diabetes Institute Office of Regulatory Affairs, Ethics Review Committee, Kuwait
| | - Andre Pascal Kengne
- South African Medical Research Council, Francie Van Zijl Dr, Parow Valley, Cape Town, 7501, South Africa
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY, USA
| | - Peter M Nilsson
- Department of Clinical Sciences and Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Tiinamaija Tuomi
- Folkhälsan Research Center, Helsinki, Finland; Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Diabetes and Obesity, Center of Helsinki, Helsinki, Finland
| | | | - Akhtar Hussain
- Faculty of Health Sciences, Nord University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation (IDF), Brussels, Belgium; Diabetes in Asia Study Group, Post Box: 752, Doha-Qatar; Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | | | - Jaakko Tuomilehto
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain; Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
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Dorcely B, DeBermont J, Gujral A, Reid M, Vanegas SM, Popp CJ, Verano M, Jay M, Schmidt AM, Bergman M, Goldberg IJ, Alemán JO. Continuous glucose monitoring captures glycemic variability in obesity after sleeve gastrectomy: A prospective cohort study. Obes Sci Pract 2024; 10:e729. [PMID: 38187121 PMCID: PMC10768733 DOI: 10.1002/osp4.729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 01/09/2024] Open
Abstract
Objective HbA1c is an insensitive marker for assessing real-time dysglycemia in obesity. This study investigated whether 1-h plasma glucose level (1-h PG) ≥155 mg/dL (8.6 mmol/L) during an oral glucose tolerance test (OGTT) and continuous glucose monitoring (CGM) measurement of glucose variability (GV) better reflected dysglycemia than HbA1c after weight loss from metabolic and bariatric surgery. Methods This was a prospective cohort study of 10 participants with type 2 diabetes compared with 11 participants with non-diabetes undergoing sleeve gastrectomy (SG). At each research visit; before SG, and 6 weeks and 6 months post-SG, body weight, fasting lipid levels, and PG and insulin concentrations during an OGTT were analyzed. Mean amplitude of glycemic excursions (MAGE), a CGM-derived GV index, was analyzed. Results The 1-h PG correlated with insulin resistance markers, triglyceride/HDL ratio and triglyceride glucose index in both groups before surgery. At 6 months, SG caused 22% weight loss in both groups. Despite a reduction in HbA1c by 3.0 ± 1.3% in the diabetes group (p < 0.01), 1-h PG, and MAGE remained elevated, and the oral disposition index, which represents pancreatic β-cell function, remained reduced in the diabetes group when compared to the non-diabetes group. Conclusions Elevation of GV markers and reduced disposition index following SG-induced weight loss in the diabetes group underscores persistent β-cell dysfunction and the potential residual risk of diabetes complications.
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Affiliation(s)
- Brenda Dorcely
- Laboratory of Translational Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
| | - Julie DeBermont
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
| | - Akash Gujral
- Comprehensive Program in Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
| | - Migdalia Reid
- Laboratory of Translational Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
| | - Sally M. Vanegas
- Laboratory of Translational Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
- Comprehensive Program in Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
| | - Collin J. Popp
- Department of Population HealthNYU Langone HealthNew YorkNew YorkUSA
| | - Michael Verano
- Laboratory of Translational Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
| | - Melanie Jay
- Comprehensive Program in Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
| | - Ann Marie Schmidt
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
| | - Michael Bergman
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
| | - Ira J. Goldberg
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
| | - José O. Alemán
- Laboratory of Translational Obesity ResearchNYU Langone HealthNew YorkNew YorkUSA
- Division of Endocrinology, Diabetes and MetabolismNYU Langone HealthNew YorkNew YorkUSA
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Dorcely B, Sifonte E, Popp C, Divakaran A, Katz K, Musleh S, Jagannathan R, Curran M, Sevick MA, Aleman JO, Goldberg IJ, Bergman M. Continuous glucose monitoring and 1-h plasma glucose identifies glycemic variability and dysglycemia in high-risk individuals with HbA1c < 5.7%: a pilot study. Endocrine 2022; 77:403-407. [PMID: 35729471 PMCID: PMC9212201 DOI: 10.1007/s12020-022-03109-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/05/2022] [Indexed: 12/04/2022]
Affiliation(s)
- Brenda Dorcely
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA.
| | - Eliud Sifonte
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Collin Popp
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Anjana Divakaran
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Karin Katz
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Sarah Musleh
- Department of Endocrinology, Diabetes & Metabolism and Internal Medicine, Hawaii Permanente Medical Group, Honolulu, HI, 96814, USA
| | - Ram Jagannathan
- Division of Hospital Medicine, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Margaret Curran
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Mary Ann Sevick
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - José O Aleman
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Ira J Goldberg
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Michael Bergman
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, 10016, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, 10016, USA
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Ferrannini G, De Bacquer D, Gyberg V, De Backer G, Kotseva K, Mellbin LG, Risebrink R, Tuomilehto J, Wood D, Rydén L. Saving time by replacing the standardised two-hour oral glucose tolerance test with a one-hour test: Validation of a new screening algorithm in patients with coronary artery disease from the ESC-EORP EUROASPIRE V registry. Diabetes Res Clin Pract 2022; 183:109156. [PMID: 34843858 DOI: 10.1016/j.diabres.2021.109156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 11/18/2021] [Accepted: 11/22/2021] [Indexed: 11/15/2022]
Abstract
AIMS An oral glucose tolerance test (OGTT) combining fasting (FPG) and 2-hour plasma glucose (2hPG) is the most sensitive method for detecting type 2 diabetes (T2DM). Since it is considered time-consuming, we aim at validating a previously proposed screening algorithm based on a 1-hour plasma glucose (1hPG) with a 12 mmol/L threshold. METHODS Nine-hundred-eighteen patients with coronary artery disease (CAD) without known T2DM from the EUROASPIRE V cross-sectional survey underwent an OGTT. The reference for T2DM was 2hPG ≥ 11.1 mmol/L. T2DM diagnosis by HbA1c ≥ 6.5%(48 mmol/mol), FPG ≥ 7.0 mmol/L, and 1hPG ≥ 12 mmol/L were compared with the outcome of 2hPG. RESULTS Mean FPG, HbA1c and 2hPG were 6.1 mmol/L, 5.6%(38 mmol/mol) and 7.8 mmol/L respectively. Ninety-six patients (10%) were diagnosed with T2DM according to 2hPG. Using this definition, in the group with FPG < 6.5 mmol/L and 1hPG < 12 only 5 (1%) were misdiagnosed as false negatives. All patients with a FPG > 8.0 mmol/L and 1hPG > 15.0 mmol/L were identified as having T2DM. According to the algorithm, in 79% of patients T2DM could be excluded by combining FPG < 6.5 mmol/L and 1hPG < 12 mmol/L. CONCLUSIONS T2DM Screening by means of an algorithm combining FPG and 1hPG limits the demand of a 2hOGTT in 79% of CAD patients without known T2DM. HbA1c did not add to the information derived from this algorithm.
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Affiliation(s)
- Giulia Ferrannini
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
| | - Dirk De Bacquer
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Viveca Gyberg
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Guy De Backer
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Kornelia Kotseva
- National Heart and Lung Institute, Imperial College London, UK; St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Linda G Mellbin
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Heart and Vascular Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Rebecca Risebrink
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Heart and Vascular Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Jaakko Tuomilehto
- Finnish Institute for Health and Welfare, Helsinki, Finland; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - David Wood
- National Institute for Prevention and Cardiovascular Health, National University of Ireland, Galway, Ireland
| | - Lars Rydén
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
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Jagannathan R, Neves JS, Dorcely B, Chung ST, Tamura K, Rhee M, Bergman M. The Oral Glucose Tolerance Test: 100 Years Later. Diabetes Metab Syndr Obes 2020; 13:3787-3805. [PMID: 33116727 PMCID: PMC7585270 DOI: 10.2147/dmso.s246062] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 09/24/2020] [Indexed: 12/15/2022] Open
Abstract
For over 100 years, the oral glucose tolerance test (OGTT) has been the cornerstone for detecting prediabetes and type 2 diabetes (T2DM). In recent decades, controversies have arisen identifying internationally acceptable cut points using fasting plasma glucose (FPG), 2-h post-load glucose (2-h PG), and/or HbA1c for defining intermediate hyperglycemia (prediabetes). Despite this, there has been a steadfast global consensus of the 2-h PG for defining dysglycemic states during the OGTT. This article reviews the history of the OGTT and recent advances in its application, including the glucose challenge test and mathematical modeling for determining the shape of the glucose curve. Pitfalls of the FPG, 2-h PG during the OGTT, and HbA1c are considered as well. Finally, the associations between the 30-minute and 1-hour plasma glucose (1-h PG) levels derived from the OGTT and incidence of diabetes and its complications will be reviewed. The considerable evidence base supports modifying current screening and diagnostic recommendations with the use of the 1-h PG. Measurement of the 1-h PG level could increase the likelihood of identifying high-risk individuals when the pancreatic ß-cell function is substantially more intact with the added practical advantage of potentially replacing the conventional 2-h OGTT making it more acceptable in the clinical setting.
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Affiliation(s)
- Ram Jagannathan
- Division of Hospital Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - João Sérgio Neves
- Department of Surgery and Physiology, Cardiovascular Research and Development Center, Faculty of Medicine, University of Porto, Porto, Portugal
- Department of Endocrinology, Diabetes and Metabolism, Sa˜o Joa˜ o University Hospital Center, Porto, Portugal
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Division of Endocrinology, Diabetes, Metabolism, New York, NY10016, USA
| | - Stephanie T Chung
- Diabetes, Obesity, and Endocrinology Branch, National Institute of Diabetes & Digestive & Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD20892, USA
| | - Mary Rhee
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA30322, USA
| | - Michael Bergman
- NYU Grossman School of Medicine, NYU Diabetes Prevention Program, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, New York, NY10010, USA
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