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Retnakaran R, Ye C, Kramer CK, Hanley AJ, Connelly PW, Sermer M, Zinman B. One-Hour Oral Glucose Tolerance Test for the Postpartum Reclassification of Women With Hyperglycemia in Pregnancy. Diabetes Care 2025; 48:887-895. [PMID: 40029070 DOI: 10.2337/dc24-1848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 01/19/2025] [Indexed: 03/05/2025]
Abstract
OBJECTIVE The International Diabetes Federation recently endorsed a 1-h oral glucose tolerance test (OGTT) as more convenient than the conventional 2-h OGTT. In practice, women with hyperglycemia in pregnancy are advised to undergo a 2-h OGTT within 6 months after delivery, but this test is often not completed, partly owing to its inconvenience for busy mothers. Recognizing the potential advantage of the 1-h OGTT in this setting, we sought to compare 1-h and 2-h OGTT glucose measurements at 3 months postpartum as predictors of dysglycemia (prediabetes/diabetes) over the first 5 years postpartum. RESEARCH DESIGN AND METHODS A total of 369 women across a range of glucose tolerance in pregnancy (from normoglycemia to gestational diabetes [GDM]) underwent multisample 2-h 75-g OGTTs at 3 months, 1 year, 3 years, and 5 years postpartum. Glucose measurements from the 3-month OGTT were ranked as predictors of dysglycemia (both criteria) by change in concordance index (CCI) of Cox proportional hazard regression models. RESULTS At the 3-month OGTT, 1-h glucose identified all but 10 of 70 women concurrently diagnosed with dysglycemia by 2-h glucose, while diagnosing an additional 96 women. The cumulative incidence of dysglycemia progressively increased over 5 years by tertile of 1-h glucose on the 3-month OGTT (P < 0.0001). On regression analyses, the strongest predictor of dysglycemia was 1-h glucose (change in CCI: 16.1%), followed by 2-h glucose (14.9%). In women with GDM, 1-h glucose again emerged as strongest predictor of dysglycemia (13.0%), followed by 2-h glucose (12.8%). CONCLUSIONS The 1-h OGTT may offer a strategy for increasing rates of postpartum reclassification following hyperglycemia in pregnancy.
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Affiliation(s)
- Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Chang Ye
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
| | - Caroline K Kramer
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Anthony J Hanley
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Philip W Connelly
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Mathew Sermer
- Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, Canada
| | - Bernard Zinman
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
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Fiorentino TV, Vito FD, Natale RM, Sergi S, Rubino M, Cassano V, Succurro E, Sciacqua A, Andreozzi F, Sesti G. Reduced glomerular filtration rate in individuals with intermediate hyperglycemia and type 2 diabetes as defined by 1-hour post-load glucose levels according to the newly released IDF criteria. Diabetes Res Clin Pract 2025; 222:112075. [PMID: 40054530 DOI: 10.1016/j.diabres.2025.112075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2025] [Revised: 02/11/2025] [Accepted: 02/25/2025] [Indexed: 03/14/2025]
Abstract
AIMS Recently, the International Diabetes Federation (IDF) has recommended determination of 1 h-post-load glucose (PG) to diagnose intermediate hyperglycemia (IH) and type 2 diabetes (T2DM). Herein, we investigate the implication of IDF recommendation in identifying subjects with chronic kidney disease (CKD). METHODS Estimated glomerular filtration rate (eGFR) was assessed on 2161 subjects classified on the basis of their fasting, 1 h and 2 h-PG, according to the IDF criteria, as having normal glucose tolerance (NGT), isolated impaired fasting glucose (iIFG), IH and T2DM. RESULTS Prevalence of CKD (eGFR < 60 ml/min/1.73 m2) and mildly reduced kidney function (eGFR 90-60 ml/min/1.73 m2) progressively increased at worsening of glucose tolerance. In a logistic regression analysis adjusted for several cardio-metabolic confounders, individuals with iIFG and IH exhibited a 3.48- (95 %CI = 1.01-11.00, P = 0.05) and 3.69- (95 %CI = 1.42-9.60, P = 0.007) fold increased risk of having CKD compared to the NGT group. The risk for CKD was further increased in subjects with T2DM (OR = 3.93, 95 %CI = 1.36-10.66, P = 0.007). Additionally, participants with IH and T2DM had a 1.89-fold (95 %CI = 1.38-2.60, P < 0.0001) and 2.78-fold (95 %CI = 1.97-3.98, P < 0.0001) higher risk of mildly reduced GFR compared to the NGT group. CONCLUSIONS The 1 h-PG thresholds proposed by IDF as diagnostic for IH and T2DM are capable of identifying individuals at risk of kidney dysfunction.
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Affiliation(s)
- Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy.
| | - Francesca De Vito
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Resilde Maria Natale
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Silvia Sergi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Mariangela Rubino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Velia Cassano
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Elena Succurro
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, Rome 00189, Italy
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Thewjitcharoen Y, Chatchomchuan W, Wanothayaroj E, Butadej S, Prasartkaew H, Nakasatien S, Krittiyawong S, Himathongkam T. Implications of the use of 1-hour post-load plasma glucose value during an oral glucose tolerance test (OGTT) for the diagnosis of dysglycemia among a cohort of high-risk Thai people. Diabetes Res Clin Pract 2025; 222:112056. [PMID: 39988131 DOI: 10.1016/j.diabres.2025.112056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Revised: 02/03/2025] [Accepted: 02/17/2025] [Indexed: 02/25/2025]
Abstract
Implications of the use of 1-hour post-load plasma glucose value during an oral glucose tolerance test (OGTT) for the diagnosis of dysglycemia among a cohort of high-risk Thai people. AIMS The recent International Diabetes Federation (IDF) statement recommended using the 1-hour plasma glucose (1-h PG) during oral glucose tolerance test (OGTT) for diagnosing dysglycemia. This study aimed to examine the prevalence of dysglycemia among high-risk Thai people. METHODS An 18-year retrospective study of Thai people who underwent OGTT procedures in routine clinical setting was analyzed. RESULTS A total of 1,203 subjects (age 50.3 ± 13.0 years, BMI of 26.3 ± 4.9 kg/m2, HbA1c 5.7 ± 0.5 %) were reviewed. Based on traditional OGTT criteria, impaired glucose tolerance (IGT) was found in 36.6 %, and diabetes (DM) in 16.8 % of the subjects. An elevated 1-h PG was found in 40.6 % of normal glucose tolerance (NGT) people, and 3.4 % of them would be classified as DM based on the IDF OGTT criteria. Among IGT people, 40.9 % would be classified as DM per the IDF criteria. The prevalence of DM was more than two times higher with the IDF OGTT criteria When the proposed 1-hr OGTT criteria was used as a reference standard, the optimal HbA1c cut-off point to diagnose diabetes was at 5.9 % which was much lower than the current HbA1c-based criteria of diabetes. CONCLUSIONS Diabetes prevalence is more than 2 times higher when diagnosed with the IDF OGTT criteria in high-risk Thai people. Overt DM by the IDF OGTT would be missed for almost 5 times by using the HbA1c level alone.
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Affiliation(s)
- Yotsapon Thewjitcharoen
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand.
| | - Waralee Chatchomchuan
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand
| | - Ekgaluck Wanothayaroj
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand
| | - Siriwan Butadej
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand
| | - Hussamon Prasartkaew
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand
| | - Soontaree Nakasatien
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand
| | - Sirinate Krittiyawong
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand
| | - Thep Himathongkam
- THEPTARIN Diabetes, Thyroid and Endocrine Center, Vimut-Theptarin Hospital, Bangkok, Thailand
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Igbe T, Kovatchev B. Finding Optimal Alphabet for Encoding Daily Continuous Glucose Monitoring Time Series Into Compressed Text. J Diabetes Sci Technol 2025:19322968251323913. [PMID: 40109176 PMCID: PMC11924066 DOI: 10.1177/19322968251323913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/22/2025]
Abstract
BACKGROUND The emergence of continuous glucose monitoring (CGM) devices has not only revolutionized diabetes management but has also opened new avenues for research. This article presents a novel approach to encoding a CGM daily profile into a CGM string and CGM text that preserves clinical metrics information but compresses the data. METHODS Eight alphabets were defined to represent glucose ranges. The Akaike information criterion (AIC) was derived from error, and the compression ratio was estimated for each alphabet to determine the optimal alphabet for encoding the CGM daily profile. The analysis was done with data from six distinct studies, with different treatment modalities, applied to individuals with type 1 diabetes (T1D) or type 2 diabetes (T2D), and without diabetes. The data set was divided into 70% for training and 30% for validation. RESULT The result from the training data reveals that a 9-letter alphabet was optimal for encoding daily CGM profiles for T1D or T2D, yielding the lowest AIC score that minimizes information loss. However, in health, fewer letters were needed, and this is to be expected, given the lower variation of the data. Further testing with the Pearson correlation showed that the 9-letter alphabet approximated the coefficient of variation, with correlations between 0.945 and 0.965. CONCLUSION Encoding CGM data into text could enhance the classification of CGM profiles and enable the use of well-established search engines with CGM data. Other potential applications include predictive modeling, anomaly detection, indexing, trend analysis, or future generative artificial intelligence applications for diabetes research and clinical practice.
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Affiliation(s)
- Tobore Igbe
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Boris Kovatchev
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA, USA
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Rodacki M, Zajdenverg L, da Silva Júnior WS, Giacaglia L, Negrato CA, Cobas RA, de Almeida-Pititto B, Bertoluci MC. Brazilian guideline for screening and diagnosis of type 2 diabetes: a position statement from the Brazilian Diabetes Society. Diabetol Metab Syndr 2025; 17:78. [PMID: 40038723 DOI: 10.1186/s13098-024-01572-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Accepted: 12/28/2024] [Indexed: 03/06/2025] Open
Abstract
BACKGROUND Patients with type 2 diabetes (T2D) often experience prolonged periods of asymptomatic hyperglycemia, which significantly increases the risk of developing chronic complications related to diabetes. Screening programs for individuals at high risk for T2D provide valuable opportunities not only for early diagnosis but also for detecting intermediate hyperglycemic states, commonly referred to as prediabetes. Interventions aimed at preventing diabetes in this group can successfully delay or even avoid the onset of the disease and its associated burdens. This review is an update of the Brazilian Diabetes Society (Sociedade Brasileira de Diabetes [SBD]) evidence-based guideline for diagnosing diabetes and screening T2D. METHODS The methodology was previously published and defined by the internal institutional steering committee. The working group drafted the manuscript by selecting vital clinical questions for a narrative review, utilizing MEDLINE via PubMed to identify relevant studies. The review assessed the best available evidence, including randomized clinical trials (RCTs), meta-analyses, and high-quality observational studies related to the diagnosis of diabetes. RESULTS AND CONCLUSIONS Fifteen specific recommendations were formulated. Screening is recommended for adults aged 35 and older or younger individuals with obesity and additional risk factors. For children and adolescents, screening is recommended starting at age ten or the onset of puberty if they are overweight or obese and have additional risk factors. Fasting plasma glucose (FPG) and HbA1c are recommended as initial screening tests. The oral glucose tolerance test (OGTT) is recommended for high-risk individuals with normal HbA1c and FPG or those with prediabetes. The 1-h OGTT is preferred over the 2-h OGTT, as it is both more practical and a superior test. A structured approach to reevaluation intervals is provided.
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Affiliation(s)
- Melanie Rodacki
- Departamento de Clínica Médica / Nutrologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
| | - Lenita Zajdenverg
- Departamento de Clínica Médica / Nutrologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Luciano Giacaglia
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | - Roberta Arnoldi Cobas
- Departamento de Medicina Interna, Faculdade de Ciências Médicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Bianca de Almeida-Pititto
- Departamento de Medicina Preventiva, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Marcello Casaccia Bertoluci
- Serviço de Endocrinologia do Hospital de Clínicas de Porto Alegre. Faculdade de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Lu J, Ni J, Su H, He X, Lu W, Zhu W, Wang Y, Ma X, Bao Y, Zhou J. One-Hour Postload Glucose Is a More Sensitive Marker of Impaired β-Cell Function Than Two-Hour Postload Glucose. Diabetes 2025; 74:36-42. [PMID: 39418325 DOI: 10.2337/db24-0652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Accepted: 10/03/2024] [Indexed: 10/19/2024]
Abstract
There is evidence that 1-h plasma glucose (PG) concentration during the 75-g oral glucose tolerance test (OGTT) is superior to 2-h PG level in predicting diabetes. We investigated the characteristics of insulin sensitivity and β-cell function behind this observation. After age, sex, and BMI matching, 496 study participants selected from 3,965 individuals without diabetes who were at high risk of type 2 diabetes in a tertiary medical center were categorized into four groups in a 1:1:1:1 ratio based on OGTT results: 1) 1-h PG level <8.6 mmol/L and 2-h PG level <7.8 mmol/L (normal glucose tolerance [NGT]/1h-normal); 2) 1-h PG level ≥8.6 mmol/L and 2-h level <7.8 mmol/L (NGT/1h-high); 3) 1-h PG level <8.6 mmol/L and 2-h level ≥7.8 mmol/L (impaired glucose tolerance [IGT]/1h-normal); and 4) 1 h PG level ≥8.6 mmol/L and 2-h level ≥7.8 mmol/L. Compared with participants with IGT/1h-normal, those with NGT/1h-high had a similar extent of insulin resistance but lower early-phase insulin secretion. Additionally, participants with NGT/1h-high had a lower disposition index at both 0-30 min and 0-120 min than those with IGT/1h-normal. The fitted regression line relating PG to log-transformed disposition index (0-30 min and 0-120 min) was significantly steeper for 1-h than 2-h PG. In conclusion, 1-h PG seemed to be more sensitive to the deterioration in β-cell function than was 2-h PG. The use of 1-h PG may identify individuals at high risk of type 2 diabetes at an earlier stage. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Jingyi Lu
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaying Ni
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hang Su
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xingxing He
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Emergency Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Lu
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Zhu
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufei Wang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yuan F, Fang D, Xu H, Nie Y, Cai W, Gu T. One-hour post-load glucose is associated with biopsy-proven metabolic dysfunction-associated steatotic liver disease in obese individuals. DIABETES & METABOLISM 2025; 51:101588. [PMID: 39645036 DOI: 10.1016/j.diabet.2024.101588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 10/17/2024] [Accepted: 11/03/2024] [Indexed: 12/09/2024]
Abstract
AIM To investigate the association between one-hour post-load plasma glucose (1h-PG) levels and metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic-associated steatohepatitis (MASH). METHODS Clinical data were collected from 538 obese participants who underwent oral glucose tolerance tests (OGTT) and liver biopsy in the Drum Tower Hospital affiliated with the Nanjing University Medical School. Participants were categorized into normal glucose tolerance (NGT), prediabetes (pre-DM), and type 2 diabetes (T2DM) groups, with further stratification of the NGT group into 1h-PG Low and 1h-PG High. The diagnosis of MASLD and MASH was performed using the NASH Clinical Research Network scoring system. Logistic regression analyses were performed to determine the association between each category and MASLD/ MASH. RESULTS The prevalence of MASLD and MASH progressively increased across NGT 1h-PG Low, NGT 1h-PG High, pre-DM and T2DM groups. Compared to the NGT 1h-PG Low group, the NGT 1h-PG High group had a significantly higher risk of MASLD (OR 3.27 [95 % CI 1.32;8.09]) and MASH (OR 3.08 [1.55;6.11]), which is similar to the pre-DM group. Additionally, elevated 1h-PG levels were associated with hepatic steatosis, lobular inflammation, and fibrosis. Mediation analysis indicated that Matsuda insulin sensitivity index and disposition index played a sequential mediating role between 1h-PG and hepatic steatosis, accounting for 14.23 % of total effect (β 0.014 [95 % CI 0.002;0.035]). CONCLUSION Elevated 1h-PG levels increase the risk of MASLD and MASH in obese individuals. Early screening and management of MASLD are necessary, even in NGT individuals when 1h-PG levels are ≥8.6 mmol/l.
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Affiliation(s)
- Fangqin Yuan
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Da Fang
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Hao Xu
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Yuanyuan Nie
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Wen Cai
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China
| | - Tianwei Gu
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine; Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China.
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Lee MH, Febriana E, Lim M, Baig S, Shen L, Dalakoti M, Chew N, Loh TP, Chan M, Chia KS, Kong APS, Cook AR, Halter JB, Magkos F, Toh SA. Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2025; 54:101278. [PMID: 39840148 PMCID: PMC11750441 DOI: 10.1016/j.lanwpc.2024.101278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 12/19/2024] [Accepted: 12/20/2024] [Indexed: 01/23/2025]
Abstract
Background Postprandial glucose concentration 1-h (1 h-PG) after an oral glucose tolerance test (OGTT) has similar or superior performance to 2 h-PG in predicting type-2 diabetes mellitus (T2DM) in several populations, and is simpler to obtain in clinical practice. However, studies in Asians are scarce. We investigated the utility of elevated baseline 1 h-PG in predicting T2DM incidence within three years, and its relationship with β-cell function in 1250 non-diabetic Asian participants. Methods Participants underwent an OGTT, an intravenous glucose challenge and a hyperinsulinemic-euglycemic clamp to determine glucose tolerance, acute insulin response (AIR) and insulin sensitivity at baseline. OGTTs were repeated every six months until study completion to monitor T2DM conversion. Findings The area under the receiver operating characteristic curve of 1 h-PG was not significantly different from 2 h-PG (AUC1h-PG = 0.883 vs. AUC2h-PG = 0.907; ΔAUC = -0.024, P = 0.124) and the optimal 1 h-PG cut-off was ≥10.7 mmol/L. When groups of high/low 1 h-PG and 2 h-PG at baseline were compared, AIR and disposition index were significantly lower in groups with high 1 h-PG, and both had a stronger correlation with 1 h-PG, indicating that impaired β-cell function was more strongly associated with elevated 1 h-PG than 2 h-PG. Interpretation The ability of 1 h-PG to detect Asians at risk of developing T2DM within three years is on par with 2 h-PG and the optimal cut-off is 10.7 mmol/L. Elevated 1 h-PG is associated with β-cell dysfunction. We conclude that 1 h-PG can be considered as a primary OGTT time point to identify Asians at risk for T2DM, allowing for screening at a reduced time and cost, and with lower patient burden. Funding National Medical Research Council (NMRC), Ministry of Health (MOH; Singapore) Industry Alignment Fund [NMRC/MOHIAFCat1/0048/2016] and Janssen Pharmaceuticals Inc. (USA).
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Affiliation(s)
- Michelle H. Lee
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NOVI Health, Singapore
| | - Eveline Febriana
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Maybritte Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Medicine, National University Hospital, Singapore
| | - Sonia Baig
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Liang Shen
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mayank Dalakoti
- Department of Medicine, Ng Teng Fong General Hospital, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Nicholas Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Tze Ping Loh
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - Mark Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Alice Pik-Shan Kong
- Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong SAR, China
| | - Alex R. Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Jeffrey B. Halter
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Geriatric and Palliative Medicine, University of Michigan, USA
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Denmark
| | - Sue-Anne Toh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NOVI Health, Singapore
- Department of Medicine, National University Hospital, Singapore
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Eng PC, Teo AED, Yew TW, Khoo CM. Implementing care for women with gestational diabetes after delivery-the challenges ahead. Front Glob Womens Health 2024; 5:1391213. [PMID: 39221169 PMCID: PMC11362992 DOI: 10.3389/fgwh.2024.1391213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 07/31/2024] [Indexed: 09/04/2024] Open
Abstract
Gestational diabetes (GDM), defined as glucose intolerance during pregnancy, affects one in six pregnancies globally and significantly increases a woman's lifetime risk of type 2 diabetes mellitus (T2DM). Being a relatively young group, women with GDM are also at higher risk of developing diabetes related complications (e.g., cardiovascular disease, non-alcoholic fatty liver disease) later in life. Children of women with GDM are also likely to develop GDM and this perpetuates a cycle of diabetes, escalating our current pandemic of metabolic disease. The global prevalence of GDM has now risen by more than 30% over the last two decades, making it an emerging public health concern. Antepartum management of maternal glucose is unable to fully mitigate the associated lifetime cardiometabolic risk. Thus, efforts may need to focus on improving care for women with GDM during the postpartum period where prevention or therapeutic strategies could be implemented to attenuate progression of GDM to DM and its associated vascular complications. However, strategies to provide care for women in the postpartum period often showed disappointing results. This has led to a missed opportunity to halt the progression of impaired glucose tolerance/impaired fasting glucose to DM in women with GDM. In this review, we examined the challenges in the management of women with GDM after delivery and considered how each of these challenges are defined and could present as a gap in translating evidence to clinical care. We highlighted challenges related to postpartum surveillance, postpartum glucose testing strategies, postpartum risk factor modification, and problems encountered in engagement of patients/providers to implement interventions strategies in women with GDM after delivery. We reasoned that a multisystem approach is needed to address these challenges and to retard progression to DM and cardiovascular disease (CVD) in women with GDM pregnancies. This is very much needed to pave way for an improved, precise, culturally sensitive and wholistic care for women with GDM.
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Affiliation(s)
- Pei Chia Eng
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, United Kingdom
| | - Ada Ee Der Teo
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
| | - Tong Wei Yew
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chin Meng Khoo
- Department of Endocrinology, National University Health Systems, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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10
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Stinson EJ, Mitchell CM, Looker HC, Krakoff J, Chang DC. Higher glucose and insulin responses to a mixed meal are associated with increased risk of diabetic retinopathy in Indigenous Americans. J Endocrinol Invest 2024; 47:699-707. [PMID: 37684485 DOI: 10.1007/s40618-023-02187-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023]
Abstract
PURPOSE Prior research has focused on glucose/insulin responses to meal challenges to create personalized diets to improve health, though it is unclear if these responses predict chronic diseases. We aimed to identify glucose and insulin responses to a mixed meal tolerance test (MMTT) that predict the development of diabetic retinopathy (DR) and compare the predictive abilities with the oral glucose tolerance test (OGTT). METHODS Indigenous American adults without diabetes (n = 168) underwent a 4-h MMTT, body composition assessment, and a 3-h OGTT at baseline. During follow-up (median 13.4 years), DR was diagnosed by direct ophthalmoscopy (n = 28) after onset of type 2 diabetes. Total and incremental area under the curve (AUC and iAUC) were calculated from glucose/insulin responses after the MMTT and OGTT. RESULTS In separate Cox proportional hazards models adjusted for age, sex, and body fat (%), MMTT glucose AUCs (180-min and 240-min) and iAUC (180-min) predicted DR (HR 1.50, 95% CI 1.06, 2.12; HR 1.50, 95% CI 1.05, 2.14; HR 1.58, 95% CI 1.01, 2.46). The predictive abilities were better than the fasting OGTT glucose (p < 0.01) but similar to the 120-min OGTT glucose (p = 0.53). MMTT insulin AUCs (180-min and 240-min) and iAUC (180-min) also predicted DR (HR 1.65, 95% CI 1.09, 2.51; HR 1.58, 95% CI 1.00, 2.35; HR 1.53 95% CI 1.06, 2.22) while insulin AUC and iAUC from the OGTT did not (p > 0.05). CONCLUSIONS Higher MMTT glucose and insulin responses predicted DR and were comparable to the OGTT, supporting the use of a meal challenge for precision nutrition. TRIAL REGISTRATIONS Clinical Trial Registry: ClinicalTrials.gov identifier: NCT00340132, NCT00339482.
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Affiliation(s)
- E J Stinson
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - C M Mitchell
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - H C Looker
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - J Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - D C Chang
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA.
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11
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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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12
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Ravà L, Fintini D, Mariani M, Deodati A, Inzaghi E, Pedicelli S, Bizzarri C, Cappa M, Cianfarani S, Manco M. High 1-h glucose in youths with obesity as marker of prediabetes and cardiovascular risk. J Endocrinol Invest 2023; 46:2555-2562. [PMID: 37204691 DOI: 10.1007/s40618-023-02111-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/09/2023] [Indexed: 05/20/2023]
Abstract
PURPOSE Testing 1-h glucose (1HG) concentration during oral glucose tolerance test is cost-effective to identify individuals at risk of incident type 2 diabetes. Aim of the study was to define 1HG cutoffs diagnostic of incident impaired glucose tolerance (IGT) in youths with obesity, and to evaluate prevalence and association of cutoffs identified in the cohort and from the literature (133 and 155 mg/dl) to cardiovascular disease (CVD) in a population of youths with obesity. METHODS This is a longitudinal study of 154 youths to identify 1HG cutoffs, and cross-sectional study of 2295 youths to estimate prevalence of high 1HG and association to CVD. Receiver-operating characteristic curves (ROC) were used to establish 1HG cutoffs, and univariate regression analyses to test association of 1HG to blood pressure, lipids and aminotransferases. RESULTS ROC analysis identified the 1HG cutoff of 159 mg/dl as having diagnostic accuracy of IGT with area under the ROC 0.82 (95% CI 0.66-0.98), sensitivity 0.86% and specificity 0.79%. In the cross-sectional population, prevalence of high 1HG was 36% and 15% for 133 and 155 mg/dl cutoffs, respectively, and 17% for the 159 mg/dl value. All the examined cutoffs were significantly associated with worse lipid profile, liver function test, reduced insulin sensitivity, secretion and disposition index. CONCLUSION High 1HG is marker of persistent IGT and increased risk of metabolic abnormalities in youths. The 155 mg/dl cutoff is a convenient estimate in young people but longitudinal studies with retinopathy and overt diabetes as end points are advised to verify the 1HG cutoff with the best diagnostic accuracy.
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Affiliation(s)
- L Ravà
- Clinical Epidemiology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - D Fintini
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - M Mariani
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - A Deodati
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - E Inzaghi
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - S Pedicelli
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - C Bizzarri
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - M Cappa
- Unit of Endocrinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - S Cianfarani
- Department of Systems Medicine, University of Rome 'Tor Vergata', Rome, Italy
- Diabetes and Growth Disorders Unit, Bambino Gesù' Children's Hospital, IRCCS, Rome, Italy
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - M Manco
- Research Area for Multifactorial Diseases and Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Via F. Baldelli 38, 00146, Rome, Italy.
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13
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Ha J, Chung ST, Bogardus C, Jagannathan R, Bergman M, Sherman AS. One-hour glucose is an earlier marker of dysglycemia than two-hour glucose. Diabetes Res Clin Pract 2023; 203:110839. [PMID: 37482221 PMCID: PMC10592221 DOI: 10.1016/j.diabres.2023.110839] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 07/25/2023]
Abstract
AIMS The timing of increase in 1-hour PG and its utility as an earlier predictor of both prediabetes (PreDM) and type 2 diabetes (T2D) compared to 2-hour PG (2 h-PG) are unknown. To evaluate the timing of crossing of the 1 h-PG ≥ 155 mg/dl (8.6 mmol/L) for PreDM and 209 mg/dl (11.6 mmol/L) for T2D and respective current 2 h-PG thresholds of 140 mg/dl (7.8 mmol/L) and 200 mg/dl (11.1 mmol/L). METHODS Secondary analysis of 201 Southwest Native Americans who were followed longitudinally for 6-10 years and had at least 3 OGTTs. RESULTS We identified a subset of 43 individuals who first developed PreDM by both 1 h-PG and 2 h-PG criteria during the study. For most (32/43,74%), 1 h-PG ≥ 155 mg/dl was observed before 2 h-PG reached 140 mg/dl (median [IQR]: 1.7 [-0.25, 4.59] y; mean ± SEM: 5.3 ± 1.9 y). We also identified a subset of 33 individuals who first developed T2D during the study. For most (25/33, 75%), 1 h-PG reached 209 mg/dl earlier (median 1.0 [-0.56, 2.02] y; mean ± SEM: 1.6 ± 0.8 y) than 2 h-PG reached 200 mg/dl, diagnostic of T2D. CONCLUSIONS 1 h-PG ≥ 155 mg/dl is an earlier marker of elevated risk for PreDM and T2D than 2 h-PG ≥ 140 mg/dl.
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Affiliation(s)
- Joon Ha
- Department of Mathematics, Howard University, Washington, DC, USA
| | - Stephanie T Chung
- Section on Pediatric Diabetes, Obesity, and Metabolism, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Clifton Bogardus
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 445 N 5th Street, Phoenix, AZ 85004, USA
| | - Ram Jagannathan
- Hubert Department of Global Health, Emory University School of Public Health Atlanta, GA, USA
| | - Michael Bergman
- NYU Grossman School of Medicine, Departments of Medicine and Population Health, Division of Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, New York, NY 10010, USA
| | - Arthur S Sherman
- Laboratory of Biological Modeling, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
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14
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Chen F, Wang J, Chen X, Yu L, An Y, Gong Q, Chen B, Xie S, Zhang L, Shuai Y, Zhao F, Chen Y, Li G, Zhang B. Development of models to predict 10-30-year cardiovascular disease risk using the Da Qing IGT and diabetes study. Diabetol Metab Syndr 2023; 15:62. [PMID: 36998090 PMCID: PMC10061839 DOI: 10.1186/s13098-023-01039-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/23/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND This study aimed to develop cardiovascular disease (CVD) risk equations for Chinese patients with newly diagnosed type 2 diabetes (T2D) to predict 10-, 20-, and 30-year of risk. METHODS Risk equations for forecasting the occurrence of CVD were developed using data from 601 patients with newly diagnosed T2D from the Da Qing IGT and Diabetes Study with a 30-year follow-up. The data were randomly assigned to a training and test data set. In the training data set, Cox proportional hazard regression was used to develop risk equations to predict CVD. Calibration was assessed by the slope and intercept of the line between predicted and observed probabilities of outcomes by quintile of risk, and discrimination was examined using Harrell's C statistic in the test data set. Using the Sankey flow diagram to describe the change of CVD risk over time. RESULTS Over the 30-year follow-up, corresponding to a 10,395 person-year follow-up time, 355 of 601 (59%) patients developed incident CVD; the incidence of CVD in the participants was 34.2 per 1,000 person-years. Age, sex, smoking status, 2-h plasma glucose level of oral glucose tolerance test, and systolic blood pressure were independent predictors. The C statistics of discrimination for the risk equations were 0.748 (95%CI, 0.710-0.782), 0.696 (95%CI, 0.655-0.704), and 0.687 (95%CI, 0.651-0.694) for 10-, 20-, and 30- year CVDs, respectively. The calibration statistics for the CVD risk equations of slope were 0.88 (P = 0.002), 0.89 (P = 0.027), and 0.94 (P = 0.039) for 10-, 20-, and 30-year CVDs, respectively. CONCLUSIONS The risk equations forecast the long-term risk of CVD in patients with newly diagnosed T2D using variables readily available in routine clinical practice. By identifying patients at high risk for long-term CVD, clinicians were able to take the required primary prevention measures.
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Affiliation(s)
- Fei Chen
- Department of Endocrinology, Friendship Hospital, Beijing, China
| | - Jinping Wang
- Department of Cardiology, Da Qing First Hospital, Da Qing, China
| | - Xiaoping Chen
- Department of Endocrinology, Friendship Hospital, Beijing, China
| | - Liping Yu
- Department of Endocrinology, Friendship Hospital, Beijing, China
| | - Yali An
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qiuhong Gong
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Chen
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuo Xie
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Lihong Zhang
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Shuai
- Department of Endocrinology, Friendship Hospital, Beijing, China
| | - Fang Zhao
- Department of Endocrinology, Friendship Hospital, Beijing, China
| | - Yanyan Chen
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangwei Li
- Department of Endocrinology, Friendship Hospital, Beijing, China
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zhang
- Department of Endocrinology, Friendship Hospital, Beijing, China.
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Rong L, Cheng X, Yang Z, Gong Y, Li C, Yan S, Sun B. One-hour plasma glucose as a long-term predictor of cardiovascular events and all-cause mortality in a Chinese older male population without diabetes: A 20-year retrospective and prospective study. Front Cardiovasc Med 2022; 9:947292. [PMID: 36072872 PMCID: PMC9441686 DOI: 10.3389/fcvm.2022.947292] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/02/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Elevated one-hour plasma glucose (1 h-PG) during oral glucose tolerance test predicts the development of type 2 diabetes mellitus and its complications. However, to date, there have been no studies investigating the predictive values of 1 h-PG for the risk of cardiovascular diseases (CVDs) and all-cause mortality in the elderly population in China. This study aimed to evaluate and compare the effectiveness of 1 h-PG and two-hour plasma glucose (2 h-PG) to predict the risk of CVD and all-cause mortality in the Chinese elderly population. Materials and methods This retrospective and prospective cohort study was conducted using data obtained from the Chinese People’s Liberation Army General Hospital. All the non-diabetic elderly participants, who had plasma glucose measured at 0, 1, and 2 h during an OGTT (75 g glucose), were followed for 20 years. The primary outcomes were all-cause mortality, myocardial infarction, unstable angina, and stroke. Multivariate-adjusted Cox proportional hazard regression models were performed to examine the association between risk factors and outcomes and to estimate the risk of CVD and all-cause mortality based on 1 h-PG levels. Results A total of 862 non-diabetic male individuals were included. The median age was 74.0 (25th–75th percentile: 68.0–79.0) years. There were 480 CVD events and 191 deaths during 15,527 person-years of follow-up. The adjusted hazard ratio (HR) of 1 h-PG as a continuous variable was 1.097 (95% CI 1.027–1.172; P = 0.006) for CVD events and 1.196 (95% CI 1.115–1.281; P < 0.001) for higher risk of mortality. When compared with the lowest 1 h-PG tertile, the other tertiles were associated with CVD events (HR 1.464, 95% CI 1.031–2.080; P = 0.033 and HR 1.538, 95% CI 1.092–2.166; P = 0.014, for tertile 2 and tertile 3 compared with tertile 1, respectively), and the highest 1 h-PG tertile had a significantly higher risk of mortality (HR 2.384, 95% CI 1.631–3.485; P < 0.001) after full adjustment. Compared with 1 h-PG, 2 h-PG had similar abilities to predict all-cause mortality. However, 2 h-PG was less closely associated with CVD when examined in the fully adjusted model, neither as a continuous variable nor as a categorical variable. Conversely, 1 h-PG remained an independent predictor of CVD and all-cause mortality after adjusting for various traditional risk factors. Conclusion Patients with higher 1 h-PG had a significantly increased risk of CVD and all-cause mortality regardless of prediabetes status or development of diabetes at follow-up. The 1 h-PG level might be a better predictor of cardiovascular risk than the 2 h-PG level for the Chinese elderly population.
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Affiliation(s)
- Lingjun Rong
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
- Department of Geriatric Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoling Cheng
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Zaigang Yang
- Department of Geriatric Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanping Gong
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Chunlin Li
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Shuangtong Yan
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
- *Correspondence: Shuangtong Yan,
| | - Banruo Sun
- Department of Endocrinology, Second Medical Center, Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
- Banruo Sun,
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16
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Saunajoki A, Auvinen J, Bloigu A, Saramies J, Tuomilehto J, Uusitalo H, Hussi E, Cederberg-Tamminen H, Suija K, Keinänen-Kiukaanniemi S, Timonen M. Elevated One-Hour Post-Load Glucose Is Independently Associated with Albuminuria: A Cross-Sectional Population Study. J Clin Med 2022; 11:jcm11144124. [PMID: 35887888 PMCID: PMC9317539 DOI: 10.3390/jcm11144124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/08/2022] [Accepted: 07/14/2022] [Indexed: 02/01/2023] Open
Abstract
The purpose of this study was to examine and compare the associations between albuminuria and fasting (FPG), 1 h post-load (1 h PG) and 2 h post-load plasma glucose (2 h PG) in an oral glucose tolerance test (OGTT). A total of 496 people free of known diabetes (mean age 72 years) participated in the examinations including the OGTT with plasma glucose measurements at 0, 1, and 2 h and levels of HbA1c. Albuminuria was determined by the urinary albumin-to-creatinine ratio and was defined as ≥3.0 mg/mmol. Compared with those without albuminuria, participants with albuminuria had significantly higher 1 h PG and 2 h PG levels, but not FPG or HbA1c levels. An elevated 1 h PG increased the estimated odds ratio of albuminuria more than three times in people with prediabetic 1 h PG (8.6–11.5 mmol/L: OR 3.60; 95% CI 1.70–7.64) and diabetic 1 h PG (≥11.6 mmol/L: OR 3.05; 95% CI 1.29–7.23). After adjusting for blood pressure and age, the association of elevated 1 h PG with albuminuria remained significant. Prediabetic or diabetic FPG, 2 h PG, or HbA1c did not have a statistically significant association with albuminuria. These findings suggest that 1 h PG seems to be the best glycemic parameter and is useful in recognizing persons with an elevated risk of early kidney disease due to hyperglycemia.
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Affiliation(s)
- Anni Saunajoki
- Center for Life Course Health Research, University of Oulu, 90220 Oulu, Finland; (J.A.); (A.B.); (J.S.); (K.S.); (S.K.-K.); (M.T.)
- Correspondence:
| | - Juha Auvinen
- Center for Life Course Health Research, University of Oulu, 90220 Oulu, Finland; (J.A.); (A.B.); (J.S.); (K.S.); (S.K.-K.); (M.T.)
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, 90220 Oulu, Finland
| | - Aini Bloigu
- Center for Life Course Health Research, University of Oulu, 90220 Oulu, Finland; (J.A.); (A.B.); (J.S.); (K.S.); (S.K.-K.); (M.T.)
| | - Jouko Saramies
- Center for Life Course Health Research, University of Oulu, 90220 Oulu, Finland; (J.A.); (A.B.); (J.S.); (K.S.); (S.K.-K.); (M.T.)
- South Karelia Social and Health Care District, 53130 Lappeenranta, Finland;
| | - Jaakko Tuomilehto
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland;
- Diabetes Research Group, King Abdulaziz University, Jeddah 22254, Saudi Arabia
| | - Hannu Uusitalo
- Department of Ophthalmology, Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Tays Eye Centre, Tampere University Hospital, 33014 Tampere, Finland
| | - Esko Hussi
- South Karelia Social and Health Care District, 53130 Lappeenranta, Finland;
| | - Henna Cederberg-Tamminen
- Department of Endocrinology, Abdominal Center, Helsinki University Hospital, 00290 Helsinki, Finland;
| | - Kadri Suija
- Center for Life Course Health Research, University of Oulu, 90220 Oulu, Finland; (J.A.); (A.B.); (J.S.); (K.S.); (S.K.-K.); (M.T.)
- Institute of Family Medicine and Public Health, Faculty of Medicine, University of Tartu, 50411 Tartu, Estonia
| | - Sirkka Keinänen-Kiukaanniemi
- Center for Life Course Health Research, University of Oulu, 90220 Oulu, Finland; (J.A.); (A.B.); (J.S.); (K.S.); (S.K.-K.); (M.T.)
- Healthcare and Social Services of Selänne, 98530 Pyhäjärvi, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, 90220 Oulu, Finland; (J.A.); (A.B.); (J.S.); (K.S.); (S.K.-K.); (M.T.)
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, 90220 Oulu, Finland
- Unit of General Practice, Oulu University Hospital, 90220 Oulu, Finland
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17
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Guerreiro V, Maia I, Neves JS, Salazar D, Ferreira MJ, Mendonça F, Silva MM, Borges-Canha M, Viana S, Costa C, Pedro J, Varela A, Lau E, Freitas P, Carvalho D, AMTCO Group. Oral glucose tolerance testing at 1 h and 2 h: relationship with glucose and cardiometabolic parameters and agreement for pre-diabetes diagnosis in patients with morbid obesity. Diabetol Metab Syndr 2022; 14:91. [PMID: 35794584 PMCID: PMC9258114 DOI: 10.1186/s13098-022-00865-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 06/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND One hour plasma glucose concentration (1hPG) during an oral glucose tolerance test (OGTT) may be an alternative to 2-h plasma glucose concentration (2hPG) in the identification of individuals at increased risk of hyperglycaemia, although its role is not fully understood. AIM We aim to investigate the relationship of these measures with other glucose parameters, as well as their relationship with cardiometabolic risk markers and the level of agreement for prediabetes mellitus diagnosis, in a sample of patients with morbid obesity. METHODS We retrospectively evaluated 656 patients with morbid obesity without diagnosed diabetes. To define prediabetes with 2hPG, 2022 American Diabetes Association guidelines criteria were used, while for 1hPG, glucose ≥ 155 mg/dL was considered. Cohen's Kappa coefficient was used to assess the agreement between both measures of prediabetes mellitus diagnosis. RESULTS A Cohen's Kappa coefficient of 0.405 (p < 0.001) was obtained. The 1hPG were positively correlated with homeostatic model assessment for insulin resistance (HOMA-IR) (ρ = 0.281, p < 0.001), fasting plasma glucose (FPG) (ρ = 0.581, p < 0.001), glycated haemoglobin (Hb1AC) (ρ = 0.347, p < 0.001) and were negatively correlated with homeostatic model assessment for cell-β function (HOMA-β) (ρ = -0.092, p = 0.018). 2hPG were also correlated with the same parameters, except for HOMA-β. CONCLUSION A fair agreement between 1 and 2hPG was verified. 1hPG criteria may be a useful indicator of β-cell dysfunction and insulin resistance in patients with morbid obesity without diabetes diagnosis.
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Affiliation(s)
- Vanessa Guerreiro
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
| | - Isabel Maia
- EPIUnit, Instituto de Saúde Pública, Universidade Do Porto, Porto, Portugal
| | - João Sérgio Neves
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
| | - Daniela Salazar
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
| | - Maria João Ferreira
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
| | - Fernando Mendonça
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Maria Manuel Silva
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Marta Borges-Canha
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Consulta de Avaliação Multidisciplinar Do Tratamento Cirúrgico da Obesidade Do Centro Hospitalar Universitário São João, Porto, Portugal
| | - Sara Viana
- Serviço de Medicina Interna, Unidade Local de Saúde Do Norte Alentejano, Portalegre, Portugal
| | - Cláudia Costa
- Serviço de Endocrinologia, Instituto Português de Oncologia, Porto, Portugal
| | - Jorge Pedro
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
| | - Ana Varela
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
- Serviço de Endocrinologia, Instituto Português de Oncologia, Porto, Portugal
| | - Eva Lau
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
- Consulta de Avaliação Multidisciplinar Do Tratamento Cirúrgico da Obesidade Do Centro Hospitalar Universitário São João, Porto, Portugal
| | - Paula Freitas
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
- Consulta de Avaliação Multidisciplinar Do Tratamento Cirúrgico da Obesidade Do Centro Hospitalar Universitário São João, Porto, Portugal
| | - Davide Carvalho
- Departamento de Endocrinologia, Diabetes E Metabolismo, Centro Hospitalar Universitário São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
- Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal
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18
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Popovic DS, Papanas N. 1 h post-load plasma glucose: Should it be re-examined as a diagnostic criterion of diabetes? Prim Care Diabetes 2021; 15:622. [PMID: 33250367 DOI: 10.1016/j.pcd.2020.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 11/16/2020] [Indexed: 11/17/2022]
Affiliation(s)
- Djordje S Popovic
- Clinic for Endocrinology, Diabetes and Metabolic Disorders, Clinical Center of Vojvodina, Hajduk Veljkova 1, 21000 Novi Sad, Serbia; Medical Faculty, University of Novi Sad, Hajduk Veljkova 9, 21000 Novi Sad, Serbia.
| | - Nikolaos Papanas
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, University Hospital of Alexandroupolis, 681 00 Alexandroupolis, Greece.
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19
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Ahuja V, Aronen P, Pramodkumar TA, Looker H, Chetrit A, Bloigu AH, Juutilainen A, Bianchi C, La Sala L, Anjana RM, Pradeepa R, Venkatesan U, Jebarani S, Baskar V, Fiorentino TV, Timpel P, DeFronzo RA, Ceriello A, Del Prato S, Abdul-Ghani M, Keinänen-Kiukaanniemi S, Dankner R, Bennett PH, Knowler WC, Schwarz P, Sesti G, Oka R, Mohan V, Groop L, Tuomilehto J, Ripatti S, Bergman M, Tuomi T. Accuracy of 1-Hour Plasma Glucose During the Oral Glucose Tolerance Test in Diagnosis of Type 2 Diabetes in Adults: A Meta-analysis. Diabetes Care 2021; 44:1062-1069. [PMID: 33741697 PMCID: PMC8578930 DOI: 10.2337/dc20-1688] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 01/11/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE One-hour plasma glucose (1-h PG) during the oral glucose tolerance test (OGTT) is an accurate predictor of type 2 diabetes. We performed a meta-analysis to determine the optimum cutoff of 1-h PG for detection of type 2 diabetes using 2-h PG as the gold standard. RESEARCH DESIGN AND METHODS We included 15 studies with 35,551 participants from multiple ethnic groups (53.8% Caucasian) and 2,705 newly detected cases of diabetes based on 2-h PG during OGTT. We excluded cases identified only by elevated fasting plasma glucose and/or HbA1c. We determined the optimal 1-h PG threshold and its accuracy at this cutoff for detection of diabetes (2-h PG ≥11.1 mmol/L) using a mixed linear effects regression model with different weights to sensitivity/specificity (2/3, 1/2, and 1/3). RESULTS Three cutoffs of 1-h PG, at 10.6 mmol/L, 11.6 mmol/L, and 12.5 mmol/L, had sensitivities of 0.95, 0.92, and 0.87 and specificities of 0.86, 0.91, and 0.94 at weights 2/3, 1/2, and 1/3, respectively. The cutoff of 11.6 mmol/L (95% CI 10.6, 12.6) had a sensitivity of 0.92 (0.87, 0.95), specificity of 0.91 (0.88, 0.93), area under the curve 0.939 (95% confidence region for sensitivity at a given specificity: 0.904, 0.946), and a positive predictive value of 45%. CONCLUSIONS The 1-h PG of ≥11.6 mmol/L during OGTT has a good sensitivity and specificity for detecting type 2 diabetes. Prescreening with a diabetes-specific risk calculator to identify high-risk individuals is suggested to decrease the proportion of false-positive cases. Studies including other ethnic groups and assessing complication risk are warranted.
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Affiliation(s)
- Vasudha Ahuja
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Pasi Aronen
- Biostatistics Unit, Faculty of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - T A Pramodkumar
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Advanced Research on Diabetes and IDF Centre of Excellence in Diabetes, Chennai, India
| | - Helen Looker
- Phoenix Epidemiology and Clinical Research Branch, National Institute for Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Angela Chetrit
- Unit for Cardiovascular Epidemiology, Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan, Israel
| | - Aini H Bloigu
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Auni Juutilainen
- University of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Cristina Bianchi
- Section of Diabetes and Metabolic Diseases, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
| | - Lucia La Sala
- Department of Cardiovascular and Dysmetabolic Diseases, IRCCS MultiMedica, Milan, Italy
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Advanced Research on Diabetes and IDF Centre of Excellence in Diabetes, Chennai, India
| | - Rajendra Pradeepa
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Advanced Research on Diabetes and IDF Centre of Excellence in Diabetes, Chennai, India
| | - Ulagamadesan Venkatesan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Advanced Research on Diabetes and IDF Centre of Excellence in Diabetes, Chennai, India
| | - Sarvanan Jebarani
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Advanced Research on Diabetes and IDF Centre of Excellence in Diabetes, Chennai, India
| | - Viswanathan Baskar
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Advanced Research on Diabetes and IDF Centre of Excellence in Diabetes, Chennai, India
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Patrick Timpel
- Department of Medicine III, Technical University of Dresden, Dresden, Germany
| | - Ralph A DeFronzo
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Antonio Ceriello
- Department of Cardiovascular and Dysmetabolic Diseases, IRCCS MultiMedica, Milan, Italy
| | - Stefano Del Prato
- Section of Diabetes and Metabolic Diseases, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Sirkka Keinänen-Kiukaanniemi
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Healthcare and Social Services of Selänne, Pyhäjärvi, Finland
| | - Rachel Dankner
- Unit for Cardiovascular Epidemiology, Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Peter H Bennett
- Phoenix Epidemiology and Clinical Research Branch, National Institute for Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - William C Knowler
- Phoenix Epidemiology and Clinical Research Branch, National Institute for Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Peter Schwarz
- Department of Medicine III, Technical University of Dresden, Dresden, Germany.,Paul Langerhans Institute of the Helmholtz Zentrum München at the University Hospital Carl Gustav Carus and the Medical Faculty of TU Dresden (PLID), Dresden, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Rie Oka
- Department of Internal Medicine, Hokuriku Central Hospital, Toyama, Japan
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Advanced Research on Diabetes and IDF Centre of Excellence in Diabetes, Chennai, India
| | - Leif Groop
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.,Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Jaakko Tuomilehto
- 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
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.,Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland.,Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Michael Bergman
- Division of Endocrinology and Metabolism, Department of Medicine and Department of Population Health, and NYU Langone Diabetes Prevention Program, NYU Grossman School of Medicine, New York, NY
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.,Lund University Diabetes Centre, Lund University, Malmö, Sweden.,Abdominal Centre, Endocrinology, Helsinki University Hospital, and Folkhalsan Research Centre, Biomedicum, and Research Program Unit, Clinical and Molecular Medicine, University of Helsinki, Helsinki, Finland
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20
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Rong L, Luo N, Gong Y, Tian H, Sun B, Li C. One-hour plasma glucose concentration can identify elderly Chinese male subjects at high risk for future type 2 diabetes mellitus: A 20-year retrospective and prospective study. Diabetes Res Clin Pract 2021; 173:108683. [PMID: 33607161 DOI: 10.1016/j.diabres.2021.108683] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 01/08/2021] [Accepted: 01/20/2021] [Indexed: 01/19/2023]
Abstract
AIM There have been few reports regarding the association between 1 h-PG concentration and type 2 diabetes mellitus (T2DM) in the elderly. This study was performed to assess the efficacy of 1 h-PG and 2 h-PG values in predicting future risk of T2DM in elderly. METHODS The study population consisted of 928 male volunteers ≥ 55 years old without diabetes who were involved in a retrospective-prospective cohort study over 20 years with a baseline fasting plasma glucose (FPG) and OGTT that included measurement of 1 h-PG and 2 h-PG. The predictive capabilities of FPG and 1 h-PG, 2 h-PG values obtained during OGTT alone and added to a clinical prediction model consisting of traditional diabetes risk factors were assessed. RESULTS Overall, 577 of all the 928 study participants (62%) developed T2DM over the 20-year follow-up. 1 h-PG and 2 h-PG values predicted T2DM and remained independent predictors of T2DM after adjusting for various traditional risk factors [HR = 1.269 (95% CI = 1.214-1.327), P < 0.001; HR = 1.269 (95% CI = 1.179-1.366), P < 0.001, respectively]. C-statistics for 1-h PG (C-statistics 0.794 [95% CI 0.765-0.823]) was significantly greater than that for 2-h PG (C-statistic 0.747 [95% CI 0.716-0.779]) in models adjusting for various traditional risk factors. 1 h-PG had the greatest area under the ROC curve (AUC, 0.766), which was greater than that of 2 h-PG (0.719). CONCLUSIONS 1 h-PG is useful as a predictor of future development of T2DM independently of traditional risk factors in an elderly Chinese male population.
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Affiliation(s)
- Lingjun Rong
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China
| | - Na Luo
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China
| | - Yanping Gong
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China; National Clinical Research Center for Geriatric Disease, the People's Liberation Army General Hospital, Beijing, China
| | - Hui Tian
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China
| | - Banruo Sun
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China; National Clinical Research Center for Geriatric Disease, the People's Liberation Army General Hospital, Beijing, China.
| | - Chunlin Li
- Department of Endocrinology, the Second Medical Center, the People's Liberation Army General Hospital, Beijing, China; National Clinical Research Center for Geriatric Disease, the People's Liberation Army General Hospital, Beijing, China.
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21
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Saunajoki A, Auvinen J, Saarela V, Uusitalo JJ, Leiviskä I, Keinänen-Kiukaanniemi S, Liinamaa MJ, Timonen M. Association of glucose metabolism and retinopathy signs in non-diabetic individuals in midlife-The Northern Finland Birth Cohort 1966 study. PLoS One 2020; 15:e0240983. [PMID: 33091029 PMCID: PMC7580974 DOI: 10.1371/journal.pone.0240983] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 10/06/2020] [Indexed: 11/18/2022] Open
Abstract
Diabetic retinopathy is a microvascular complication of hyperglycaemia. Little is known about the association of glucose metabolism and retinopathy signs in the non-diabetic middle-aged population. We studied prevalence of retinopathy in a subsample of Northern Finland Birth Cohort study (NFBC1966) of 1809 subjects, at 47 years of age, without previously diagnosed type 2 diabetes and/or blood pressure-lowering medication. All participants underwent clinical evaluations including an oral glucose tolerance test (glucose and insulin values measured at 0, 30, 60 and 120 min) and HbA1c. The retinopathy signs were diagnosed by fundus photographs and classified according to the Eurodiab classification scheme. The overall prevalence of newly diagnosed retinopathy was 1.4%. The retinopathy signs were significantly associated with increased 30 min, 1-h and 2-h glucose levels and 2-h insulin level in an OGTT. After adjustment with systolic blood pressure, only 30 min glucose, 1-h glucose and 2-h insulin levels were associated with retinopathy signs. Our findings show the potential role of 30 min and 1-h post-load glucose and 2-h insulin levels as risk factors for retinopathy lesions among the participants without previously diagnosed diabetes or hypertensive medication.
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Affiliation(s)
- Anni Saunajoki
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Juha Auvinen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Healthcare and Social Services of Oulunkaari, Ii, Finland
| | - Ville Saarela
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - Janne-Joonas Uusitalo
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - Ilmari Leiviskä
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - Sirkka Keinänen-Kiukaanniemi
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Healthcare and Social Services of Selänne, Pyhäjärvi, Finland
- Healthcare and Social Services of City of Oulu, Oulu, Finland
| | - M. Johanna Liinamaa
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Healthcare and Social Services of Oulunkaari, Ii, Finland
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22
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Bergman M, Abdul-Ghani M, DeFronzo RA, Manco M, Sesti G, Fiorentino TV, Ceriello A, Rhee M, Phillips LS, Chung S, Cravalho C, Jagannathan R, Monnier L, Colette C, Owens D, Bianchi C, Del Prato S, Monteiro MP, Neves JS, Medina JL, Macedo MP, Ribeiro RT, Filipe Raposo J, Dorcely B, Ibrahim N, Buysschaert M. Review of methods for detecting glycemic disorders. Diabetes Res Clin Pract 2020; 165:108233. [PMID: 32497744 PMCID: PMC7977482 DOI: 10.1016/j.diabres.2020.108233] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 05/19/2020] [Indexed: 02/07/2023]
Abstract
Prediabetes (intermediate hyperglycemia) consists of two abnormalities, impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) detected by a standardized 75-gram oral glucose tolerance test (OGTT). Individuals with isolated IGT or combined IFG and IGT have increased risk for developing type 2 diabetes (T2D) and cardiovascular disease (CVD). Diagnosing prediabetes early and accurately is critical in order to refer high-risk individuals for intensive lifestyle modification. However, there is currently no international consensus for diagnosing prediabetes with HbA1c or glucose measurements based upon American Diabetes Association (ADA) and the World Health Organization (WHO) criteria that identify different populations at risk for progressing to diabetes. Various caveats affecting the accuracy of interpreting the HbA1c including genetics complicate this further. This review describes established methods for detecting glucose disorders based upon glucose and HbA1c parameters as well as novel approaches including the 1-hour plasma glucose (1-h PG), glucose challenge test (GCT), shape of the glucose curve, genetics, continuous glucose monitoring (CGM), measures of insulin secretion and sensitivity, metabolomics, and ancillary tools such as fructosamine, glycated albumin (GA), 1,5- anhydroglucitol (1,5-AG). Of the approaches considered, the 1-h PG has considerable potential as a biomarker for detecting glucose disorders if confirmed by additional data including health economic analysis. Whether the 1-h OGTT is superior to genetics and omics in providing greater precision for individualized treatment requires further investigation. These methods will need to demonstrate substantially superiority to simpler tools for detecting glucose disorders to justify their cost and complexity.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, NYU Diabetes Prevention Program, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, 423 East 23rd Street, Room 16049C, NY, NY 10010, USA.
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
| | - Ralph A DeFronzo
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
| | - Melania Manco
- Research Area for Multifactorial Diseases, Bambino Gesù Children Hospital, Rome, Italy.
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome Sapienza, Rome 00161, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Catanzaro 88100, Italy.
| | - Antonio Ceriello
- Department of Cardiovascular and Metabolic Diseases, Istituto Ricerca Cura Carattere Scientifico Multimedica, Sesto, San Giovanni (MI), Italy.
| | - Mary Rhee
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Lawrence S Phillips
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Stephanie Chung
- Diabetes Endocrinology and Obesity Branch, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Celeste Cravalho
- Diabetes Endocrinology and Obesity Branch, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Ram Jagannathan
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Louis Monnier
- Institute of Clinical Research, University of Montpellier, Montpellier, France.
| | - Claude Colette
- Institute of Clinical Research, University of Montpellier, Montpellier, France.
| | - David Owens
- Diabetes Research Group, Institute of Life Science, Swansea University, Wales, UK.
| | - Cristina Bianchi
- University Hospital of Pisa, Section of Metabolic Diseases and Diabetes, University Hospital, University of Pisa, Pisa, Italy.
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
| | - Mariana P Monteiro
- Endocrine, Cardiovascular & Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
| | - 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, São João University Hospital Center, Porto, Portugal.
| | | | - Maria Paula Macedo
- CEDOC-Centro de Estudos de Doenças Crónicas, NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal; APDP-Diabetes Portugal, Education and Research Center (APDP-ERC), Lisboa, Portugal.
| | - Rogério Tavares Ribeiro
- Institute for Biomedicine, Department of Medical Sciences, University of Aveiro, APDP Diabetes Portugal, Education and Research Center (APDP-ERC), Aveiro, Portugal.
| | - João Filipe Raposo
- CEDOC-Centro de Estudos de Doenças Crónicas, NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal; APDP-Diabetes Portugal, Education and Research Center (APDP-ERC), Lisboa, Portugal.
| | - Brenda Dorcely
- NYU School of Medicine, Division of Endocrinology, Diabetes, Metabolism, NY, NY 10016, USA.
| | - Nouran Ibrahim
- NYU School of Medicine, Division of Endocrinology, Diabetes, Metabolism, NY, NY 10016, USA.
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University Clinic Saint-Luc, Brussels, Belgium.
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Saunajoki AE, Auvinen JP, Bloigu AH, Timonen MJ, Keinänen-Kiukaanniemi SM. Evaluating the 1-h post-load glucose level to predict future type 2 diabetes. Diabetes Res Clin Pract 2020; 160:108009. [PMID: 31926844 DOI: 10.1016/j.diabres.2020.108009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 12/06/2019] [Accepted: 01/07/2020] [Indexed: 12/25/2022]
Abstract
AIMS To evaluate the predictive ability of 2-h post-load glucose level in addition to fasting and 1-h glucose levels in predicting the risk of type 2 diabetes. METHODS We examined a prospective population-based cohort study of 654 subjects without type 2 diabetes at baseline. All subjects underwent an oral glucose tolerance test (OGTT), with measurement of glucose at 0, 60, and 120 min at baseline, and after 12 years in a follow-up survey. We evaluated the predictive properties of fasting, 1- and 2-h post-load glucose levels by comparing the areas under the receiver-operating characteristic (ROC) curve. RESULTS We found that 2-h glucose concentration in the prediction model with fasting and 1-h glucose levels did not significantly increase the predictability of type 2 diabetes compared to a model only including fasting and 1-h glucose levels (AUC 0.83 vs. AUC 0.82, respectively; p = 0.23). The area under the ROC curve was the largest for 1-h glucose level (AUC 0.81), compared to fasting (AUC 0.71; p < 0.01) and 2-h glucose levels (AUC 0.72; p = 0.01). CONCLUSIONS Adding 2-h glucose to the model with fasting and 1-h glucose levels did not improve the predictability of new onset type 2 diabetes.
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Affiliation(s)
- Anni E Saunajoki
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.
| | - Juha P Auvinen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Healthcare and Social Services of Oulunkaari, Ii, Finland.
| | - Aini H Bloigu
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.
| | - Markku J Timonen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Healthcare and Social Services of Oulunkaari, Ii, Finland.
| | - Sirkka M Keinänen-Kiukaanniemi
- Center for Life Course Health Research, University of Oulu, Oulu, Finland; Healthcare and Social Services of Selänne, Pyhäjärvi, Finland.
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Kumpatla S, Parveen R, Stanson S, Viswanathan V. Elevated one hour with normal fasting and 2 h plasma glucose helps to identify those at risk for development of Type2 Diabetes-11 years observational study from south India. Diabetes Metab Syndr 2019; 13:2733-2737. [PMID: 31405701 DOI: 10.1016/j.dsx.2019.06.029] [Citation(s) in RCA: 3] [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: 06/04/2019] [Accepted: 06/27/2019] [Indexed: 11/19/2022]
Abstract
AIMS To compare conversion rates of diabetes in subjects with elevated 1 h plasma glucose (1hrPG) during an OGTT with normal glucose tolerance(NGT) subjects over a period of 11 years. METHODS 4023 subjects were selected from electronic data base of medical records.233 subjects who were followed up for a period of 11 years were included.160 with isolated prediabetes and their combinations were excluded.The remaining 73 were categorized into group1 NGT (n = 37) and group-2 (n = 36) with elevated 1hrPG.Kaplan Meier curves for incident diabetes and Cox proportional hazard model were compared between groups. RESULTS During follow up, 10.8% and 44.4% converted to DM in group1 and group2 (p = 0.003). Elevated 1hrPG was associated with incident diabetes(HR 7.9[95%CI 2.2-28.1](p = 0.001)provided better risk assessment.The adjusted risk of event in subjects with elevated 1hrPG is likely to be 7 times more when compared to NGT.Subjects with elevated1hrPG remained free of diabetes for a median period of 7.6 years (95% CI 5.8-7.8) whereas NGT subjects remained free for 10 years (95% CI 8.5-10.0) (p < 0.001). CONCLUSION In conclusion, conversion to DM was higher and risk was 7 times more in subjects with elevated 1hrPG. Elevated 1hrPG during OGTT has to be considered as a distinct entity.
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Affiliation(s)
- Satyavani Kumpatla
- Department of Biochemistry, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Center (WHO Collaborating Center for Research Education and Training in Diabetes), Royapuram, Chennai, Tamil Nadu, India
| | - Rizwana Parveen
- Department of Primary prevention of diabetes, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Center (WHO Collaborating Center for Research Education and Training in Diabetes), Royapuram, Chennai, Tamil Nadu, India
| | - Shalini Stanson
- Department of Primary prevention of diabetes, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Center (WHO Collaborating Center for Research Education and Training in Diabetes), Royapuram, Chennai, Tamil Nadu, India
| | - Vijay Viswanathan
- Department of Diabetology, M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Center (WHO Collaborating Center for Research Education and Training in Diabetes), Royapuram, Chennai, Tamil Nadu, India.
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25
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Kasturi K, Onuzuruike AU, Kunnam S, Shomaker LB, Yanovski JA, Chung ST. Two- vs one-hour glucose tolerance testing: Predicting prediabetes in adolescent girls with obesity. Pediatr Diabetes 2019; 20:154-159. [PMID: 30520201 PMCID: PMC6361688 DOI: 10.1111/pedi.12803] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND During an oral glucose tolerance test (OGTT), morphological features of the glucose curve (monophasic curve, glucose peak >30 minutes and 1-hour glucose ≥ 155 mg/dL) maybe associated with higher prediabetes risk, but their reproducibility and predictive ability in adolescents with obesity are unknown. METHODS Nondiabetic adolescent girls with obesity underwent a multiple-sample OGTT at baseline (n = 93), 6 weeks (n = 83), and 1 year (n = 72). Short-term reproducibility (baseline to 6 weeks) and the predictive ability for prediabetes (baseline to 1 year) for each feature were compared with standard fasting and 2-hour OGTT diagnostic criteria. RESULTS There was fair/moderate short-term reproducibility (κ < 0.5) for all morphological features. At 1 year, compared with standard OGTT criteria, the areas under the receiver operating curve (ROC-AUCs) for glucose peak > 30 minutes, 1 hour ≥155 mg/dL or a combination of the two criteria were comparable (all P > 0.05), but the monophasic curve had the lowest ROC-AUC (P < 0.001). CONCLUSIONS In adolescent girls with obesity, glucose peak > 30 minutes and/or glucose ≥155 mg/dL had similar reproducibility and 1-year predictive ability for prediabetes compared with standard OGTT criteria. The shortened 1-hour OGTT may provide diagnostic equivalence for prediabetes risk with the additional advantage of a less time-consuming risk assessment.
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Affiliation(s)
- Kannan Kasturi
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda MD
| | - Anthony U. Onuzuruike
- Section on Ethnicity and Health, Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD
| | - Shwetha Kunnam
- Section on Ethnicity and Health, Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD
| | - Lauren B. Shomaker
- Human Development and Family Studies, Colorado State University; Community and Behavioral Health, Colorado School of Public Health; and Pediatric Endocrinology, University of Colorado School of Medicine/Children’s Hospital Colorado
| | - Jack A. Yanovski
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda MD
| | - Stephanie T. Chung
- Section on Ethnicity and Health, Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD
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26
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Thewjitcharoen Y, Jones Elizabeth A, Butadej S, Nakasatien S, Chotwanvirat P, Wanothayaroj E, Krittiyawong S, Himathongkam T, Himathongkam T. Performance of HbA1c versus oral glucose tolerance test (OGTT) as a screening tool to diagnose dysglycemic status in high-risk Thai patients. BMC Endocr Disord 2019; 19:23. [PMID: 30770743 PMCID: PMC6377733 DOI: 10.1186/s12902-019-0339-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Accepted: 01/09/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Dysglycemic status defined by prediabetes and diabetes is known to be related with future risk of diabetic complications and cardiovascular diseases. Herein, we aimed to determine the diagnostic accuracy of glycated hemoglobin (HbA1c) when compared with oral glucose tolerance test (OGTT) as a reference test in identifying dysglycemic status among high-risk Thai patients receiving care in an out-patient setting. METHODS An 11-year retrospective cross-sectional study of high-risk Thai patients who underwent OGTT during 2007-2017 was analysed. The OGTT was used as a reference test to identify subjects of dysglycemic status. The diagnostic accuracy of HbA1c and the agreement between HbA1c and OGTT were examined. Validated Thai diabetes risk score, Thai cardiovascular risk score (Thai CV risk score), and visceral fat area (VFA) were also compared in each glycemic status from OGTT as surrogate markers for future diabetes and cardiovascular diseases. RESULTS A total of 512 subjects (females 60.5%, mean age of 50.3 ± 12.7 years, BMI of 26.5 ± 4.6 kg/m2) were reviewed. Normal glucose tolerance (NGT) was found in 220 patients (43.0%), impaired glucose tolerance (IGT) in 191 patients (37.3%), and diabetes in 101 patients (19.7%). The prevalence of diabetes using OGTT was approximately two times higher than those defined by HbA1c (19.7% versus 11.1%). There were poor agreements between the classifications of prediabetes and diabetes defined by OGTT and HbA1c (Cohen's Kappa 0.154 and 0.306, respectively). Using a cut-off value for HbA1c ≥6.5% as a threshold for HbA1c-defined criteria of diabetes, sensitivity was 32% (95% CI 23-41%) and specificity was 94% (95% CI 92-96%). The optimal cut-off HbA1c value for detecting diabetes by Youden's index was at HbA1c 6.2%. Thai CV risk score was much higher among the OGTT-defined diabetes group when compared with the NGT group (median score 10 vs. 3, p-value < 0.001). CONCLUSIONS Despite the practicality and validity of HbA1c as a diagnostic test, our study suggested that HbA1c as a screening tool for diabetes in high-risk Thai patients is much inferior to OGTT. With limitations of HbA1c, physicians should continue to advocate OGTT as a screening tool for the identification of dysglycemic status in high-risk Thai patients.
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Affiliation(s)
| | | | - Siriwan Butadej
- Diabetes and Thyroid Center, Theptarin Hospital, Bangkok, Thailand
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27
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Bergman M, Manco M, Sesti G, Dankner R, Pareek M, Jagannathan R, Chetrit A, Abdul-Ghani M, Buysschaert M, Olsen MH, Nilsson PM, Medina JL, Roth J, Groop L, Del Prato S, Raz I, Ceriello A. Petition to replace current OGTT criteria for diagnosing prediabetes with the 1-hour post-load plasma glucose ≥ 155 mg/dl (8.6 mmol/L). Diabetes Res Clin Pract 2018; 146:18-33. [PMID: 30273707 DOI: 10.1016/j.diabres.2018.09.017] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 09/25/2018] [Indexed: 02/08/2023]
Abstract
Many individuals with prediabetes, as presently defined, will progress to diabetes (T2D) despite the considerable benefit of lifestyle modification. Therefore, it is paramount to screen individuals at increased risk with a more sensitive method capable of identifying prediabetes at an even earlier time point in the lengthy trajectory to T2D. This petition reviews findings demonstrating that the 1-hour (1-h) postload plasma glucose (PG) ≥ 155 mg/dl (8.6 mmol/L) in those with normal glucose tolerance (NGT) during an oral glucose tolerance test (OGTT) is highly predictive for detecting progression to T2D, micro- and macrovascular complications and mortality in individuals at increased risk. Furthermore, the STOP DIABETES Study documented effective interventions that reduce the future risk of T2D in those with NGT and a 1-h PG ≥ 155 mg/dl (8·6 mmol/L). The 1-h OGTT represents a valuable opportunity to extend the proven benefit of diabetes prevention to the sizeable and growing population of individuals at increased risk of progression to T2D. The substantial evidence provided in this petition strongly supports redefining current diagnostic criteria for prediabetes with the elevated 1-h PG level. The authors therefore advocate a 1-h OGTT to detect prediabetes and hence, thwart the global diabetes epidemic.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, Department of Medicine and of Population Health, Division of Endocrinology and Metabolism, NYU Langone Diabetes Prevention Program, New York, NY, USA.
| | - Melania Manco
- Research Unit for Multifactorial Diseases and Complex Phenotypes, Bambino Gesù Children Hospital, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Rome, Italy
| | - Giorgio Sesti
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Rachel Dankner
- The Feinstein Institute for Medical Research, Manhasset, North Shore, NY, USA; Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel; Sackler Faculty of Medicine, School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Manan Pareek
- Centre for Individualized Medicine in Arterial Diseases (CIMA), Odense University Hospital, University of Southern Denmark, Denmark; Cardiology Section, Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark
| | - Ram Jagannathan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 18, Atlanta, GA, USA
| | - Angela Chetrit
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University, Clinic Saint-Luc, Brussels, Belgium
| | - Michael H Olsen
- Centre for Individualized Medicine in Arterial Diseases (CIMA), Odense University Hospital, University of Southern Denmark, Denmark; Cardiology Section, Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark
| | - Peter M Nilsson
- Department of Clinical Sciences and Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, Sweden
| | | | - Jesse Roth
- The Feinstein Institute for Medical Research, Manhasset, North Shore, NY, USA
| | - Leif Groop
- Lund University, Lund University Diabetes Centre, Malmö, Sweden
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Itamar Raz
- Diabetes Unit at Hadassah University Hospital, Hadassah Center for the Prevention of Diabetes, Diabetes Clinical Research Center, Jerusalem, Israel
| | - Antonio Ceriello
- Institut d'Investigacions Biomèdiques August Pi I Sunyer and Centro de Investigación Biomedica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Barcelona, Spain; Department of Cardiovascular and Metabolic Diseases, Istituto Ricerca Cura Carattere Scientifico Multimedica, Sesto, San Giovanni, MI, Italy
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