Comparing ADA and IDF diagnostic criteria for intermediate hyperglycaemia and diabetes in the SHiDS study
This study aimed to assess the prevalence of IH and diabetes, as well as insulin secretion, insulin sensitivity, and related curve patterns in subjects with different glucose tolerance categories according to the diagnostic criteria established by the American Diabetes Association (ADA) and the more...
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| Veröffentlicht in: | Diabetes research and clinical practice Jg. 219; S. 111963 |
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| Abstract | This study aimed to assess the prevalence of IH and diabetes, as well as insulin secretion, insulin sensitivity, and related curve patterns in subjects with different glucose tolerance categories according to the diagnostic criteria established by the American Diabetes Association (ADA) and the more recently published International Diabetes Federation (IDF) guidelines.
We used data of 5,387 adult participants from the Shanghai High-risk Diabetic Screen (SHiDS) study. All participants underwent a five-point 75 g oral glucose tolerance test (OGTT). Glycemic states were then classified according to the ADA/IDF diagnostic criteria, while OGTT-derived indices were employed to evaluate insulin secretion and sensitivity.
Overall, 3,729 subjects were diagnosed consistently under ADA/IDF criteria; while 941 and 717 subjects exhibited inconsistencies in the diagnostic classification for diabetes and IH, respectively. Notably, all of these individuals with discrepant diagnoses displayed β-cell dysfunction and/or insulin resistance compared to the NGT/NGT group.
The ADA criteria can identify individuals with elevated haemoglobinA1c (HbA1c) levels when the 1-hour plasma glucose (1-h PG) stay within the normal range, while the IDF criteria can identify subjects with impaired insulin sensitivity and secretion when fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) and HbA1c values are in the normal range. |
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| AbstractList | This study aimed to assess the prevalence of IH and diabetes, as well as insulin secretion, insulin sensitivity, and related curve patterns in subjects with different glucose tolerance categories according to the diagnostic criteria established by the American Diabetes Association (ADA) and the more recently published International Diabetes Federation (IDF) guidelines.
We used data of 5,387 adult participants from the Shanghai High-risk Diabetic Screen (SHiDS) study. All participants underwent a five-point 75 g oral glucose tolerance test (OGTT). Glycemic states were then classified according to the ADA/IDF diagnostic criteria, while OGTT-derived indices were employed to evaluate insulin secretion and sensitivity.
Overall, 3,729 subjects were diagnosed consistently under ADA/IDF criteria; while 941 and 717 subjects exhibited inconsistencies in the diagnostic classification for diabetes and IH, respectively. Notably, all of these individuals with discrepant diagnoses displayed β-cell dysfunction and/or insulin resistance compared to the NGT/NGT group.
The ADA criteria can identify individuals with elevated haemoglobinA1c (HbA1c) levels when the 1-hour plasma glucose (1-h PG) stay within the normal range, while the IDF criteria can identify subjects with impaired insulin sensitivity and secretion when fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) and HbA1c values are in the normal range. This study aimed to assess the prevalence of IH and diabetes, as well as insulin secretion, insulin sensitivity, and related curve patterns in subjects with different glucose tolerance categories according to the diagnostic criteria established by the American Diabetes Association (ADA) and the more recently published International Diabetes Federation (IDF) guidelines.AIMSThis study aimed to assess the prevalence of IH and diabetes, as well as insulin secretion, insulin sensitivity, and related curve patterns in subjects with different glucose tolerance categories according to the diagnostic criteria established by the American Diabetes Association (ADA) and the more recently published International Diabetes Federation (IDF) guidelines.We used data of 5,387 adult participants from the Shanghai High-risk Diabetic Screen (SHiDS) study. All participants underwent a five-point 75 g oral glucose tolerance test (OGTT). Glycemic states were then classified according to the ADA/IDF diagnostic criteria, while OGTT-derived indices were employed to evaluate insulin secretion and sensitivity.METHODSWe used data of 5,387 adult participants from the Shanghai High-risk Diabetic Screen (SHiDS) study. All participants underwent a five-point 75 g oral glucose tolerance test (OGTT). Glycemic states were then classified according to the ADA/IDF diagnostic criteria, while OGTT-derived indices were employed to evaluate insulin secretion and sensitivity.Overall, 3,729 subjects were diagnosed consistently under ADA/IDF criteria; while 941 and 717 subjects exhibited inconsistencies in the diagnostic classification for diabetes and IH, respectively. Notably, all of these individuals with discrepant diagnoses displayed β-cell dysfunction and/or insulin resistance compared to the NGT/NGT group.RESULTSOverall, 3,729 subjects were diagnosed consistently under ADA/IDF criteria; while 941 and 717 subjects exhibited inconsistencies in the diagnostic classification for diabetes and IH, respectively. Notably, all of these individuals with discrepant diagnoses displayed β-cell dysfunction and/or insulin resistance compared to the NGT/NGT group.The ADA criteria can identify individuals with elevated haemoglobinA1c (HbA1c) levels when the 1-hour plasma glucose (1-h PG) stay within the normal range, while the IDF criteria can identify subjects with impaired insulin sensitivity and secretion when fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) and HbA1c values are in the normal range.CONCLUSIONSThe ADA criteria can identify individuals with elevated haemoglobinA1c (HbA1c) levels when the 1-hour plasma glucose (1-h PG) stay within the normal range, while the IDF criteria can identify subjects with impaired insulin sensitivity and secretion when fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) and HbA1c values are in the normal range. |
| ArticleNumber | 111963 |
| Author | Jia, Weiping Wang, Congrong Xu, Jinfang Cao, Baige Zhang, Yinan Liu, Shuang |
| Author_xml | – sequence: 1 givenname: Yinan surname: Zhang fullname: Zhang, Yinan email: zhyn@sjtu.edu.cn organization: Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, The Metabolic Disease Biobank, Shanghai, China – sequence: 2 givenname: Shuang surname: Liu fullname: Liu, Shuang organization: Department of Endocrinology & Metabolism, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China – sequence: 3 givenname: Baige surname: Cao fullname: Cao, Baige email: 2111710@tongji.edu.cn organization: Department of Endocrinology & Metabolism, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China – sequence: 4 givenname: Jinfang surname: Xu fullname: Xu, Jinfang email: fangxjf@163.com organization: Department of Health Statistics, Naval Medical University, Shanghai 200433, China – sequence: 5 givenname: Weiping surname: Jia fullname: Jia, Weiping email: wpjia@stju.edu.cn organization: Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Centre for Diabetes, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China – sequence: 6 givenname: Congrong surname: Wang fullname: Wang, Congrong email: crwang@tongji.edu.cn organization: Department of Endocrinology & Metabolism, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China |
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| Cites_doi | 10.1186/s12986-018-0321-8 10.2337/dc17-1351 10.1016/j.diabres.2024.111589 10.1016/j.jdiacomp.2016.07.029 10.2337/dc12-0246 10.2337/diacare.27.6.1439 10.1210/jc.2010-1698 10.2337/dc15-S005 10.2337/dc09-1939 10.2337/dc09-S309 10.2337/dc09-2261 10.2337/dc10-S062 10.1007/s12020-015-0746-z 10.2337/diacare.26.11.3160 10.1038/nrdp.2015.19 10.1007/BF00280883 10.2337/dc05-2179 10.2337/db16-0806 10.1136/bmjdrc-2022-003266 10.1111/dme.13013 10.1111/dme.14375 |
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| Keywords | SHiDS IDF Diabetes Intermediate hyperglycaemia ADA |
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| SubjectTerms | ADA Adult Aged Blood Glucose - analysis Blood Glucose - metabolism China - epidemiology Diabetes Diabetes Mellitus - blood Diabetes Mellitus - diagnosis Diabetes Mellitus - epidemiology Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - epidemiology Female Glucose Tolerance Test Glycated Hemoglobin - analysis Glycated Hemoglobin - metabolism Humans Hyperglycemia - blood Hyperglycemia - diagnosis Hyperglycemia - epidemiology IDF Insulin - metabolism Insulin Resistance Intermediate hyperglycaemia Male Middle Aged SHiDS |
| Title | Comparing ADA and IDF diagnostic criteria for intermediate hyperglycaemia and diabetes in the SHiDS study |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0168822724008738 https://dx.doi.org/10.1016/j.diabres.2024.111963 https://www.ncbi.nlm.nih.gov/pubmed/39706370 https://www.proquest.com/docview/3147972651 |
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