Ahmad Hamdan, Amna Zar, Fatima R Alsharif, Mohannad N AbuHaweeleh, Nouran Alwisi, Hanan Khudadad, Khalid Bashir, Stephen Beer, Mohammed Bashir, Abdul-Badi Abou-Samra, Suhail A R Doi
{"title":"妊娠期糖尿病标准与统一标准的不等同性。","authors":"Ahmad Hamdan, Amna Zar, Fatima R Alsharif, Mohannad N AbuHaweeleh, Nouran Alwisi, Hanan Khudadad, Khalid Bashir, Stephen Beer, Mohammed Bashir, Abdul-Badi Abou-Samra, Suhail A R Doi","doi":"10.3121/cmr.2025.1974","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> There are two types of criteria for diagnosing gestational diabetes mellitus (GDM). The first is based on measurement of three values on the glucose tolerance test (GTT) and making a diagnosis when any value is abnormal (individual time-point criterion). The second is based on creating a weighted average of the three values and using the average to split glycemic status into normal gestational glycemia (NGG), impaired gestational glycemia (IGG), gestational diabetes (GDM), or high-risk gestational diabetes (hGDM) (unified criterion). There is no information currently regarding how these two criteria relate to each other in the diagnosis of GDM. This study aimed to make this comparison.<b>Design:</b> Cross-sectional study.<b>Setting:</b> Publicly available data on a cohort of women in pregnancy.<b>Participants:</b> Pregnant women from the cohort.<b>Methods:</b> The cross-classification of diagnosis by two criteria was evaluated. The individual time-point criterion had a binary outcome (GDM yes/no), while the unified criterion had the four aforementioned outcomes.<b>Results:</b> Within the low risk (non-GDM) category by the individual time-point criterion, 1 in 85 women would have been deemed at high risk by the unified criterion. More importantly, within the high risk (GDM) category by the individual time-point criterion, 1 in 2 women would have been deemed at low risk by the unified criterion.<b>Conclusion:</b> The standard criterion is not equivalent to the unified criterion in terms of risk estimation. This is important as the unified criterion correlates with area under the GTT curve known to be associated with glucose excursion and is predictive of the net effect of insulin resistance and beta-cell function.</p>","PeriodicalId":47429,"journal":{"name":"Clinical Medicine & Research","volume":"23 2","pages":"53-59"},"PeriodicalIF":1.4000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352914/pdf/","citationCount":"0","resultStr":"{\"title\":\"Non-equivalence of Standard and Unified Criteria for Gestational Diabetes Mellitus.\",\"authors\":\"Ahmad Hamdan, Amna Zar, Fatima R Alsharif, Mohannad N AbuHaweeleh, Nouran Alwisi, Hanan Khudadad, Khalid Bashir, Stephen Beer, Mohammed Bashir, Abdul-Badi Abou-Samra, Suhail A R Doi\",\"doi\":\"10.3121/cmr.2025.1974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> There are two types of criteria for diagnosing gestational diabetes mellitus (GDM). The first is based on measurement of three values on the glucose tolerance test (GTT) and making a diagnosis when any value is abnormal (individual time-point criterion). The second is based on creating a weighted average of the three values and using the average to split glycemic status into normal gestational glycemia (NGG), impaired gestational glycemia (IGG), gestational diabetes (GDM), or high-risk gestational diabetes (hGDM) (unified criterion). There is no information currently regarding how these two criteria relate to each other in the diagnosis of GDM. This study aimed to make this comparison.<b>Design:</b> Cross-sectional study.<b>Setting:</b> Publicly available data on a cohort of women in pregnancy.<b>Participants:</b> Pregnant women from the cohort.<b>Methods:</b> The cross-classification of diagnosis by two criteria was evaluated. The individual time-point criterion had a binary outcome (GDM yes/no), while the unified criterion had the four aforementioned outcomes.<b>Results:</b> Within the low risk (non-GDM) category by the individual time-point criterion, 1 in 85 women would have been deemed at high risk by the unified criterion. More importantly, within the high risk (GDM) category by the individual time-point criterion, 1 in 2 women would have been deemed at low risk by the unified criterion.<b>Conclusion:</b> The standard criterion is not equivalent to the unified criterion in terms of risk estimation. This is important as the unified criterion correlates with area under the GTT curve known to be associated with glucose excursion and is predictive of the net effect of insulin resistance and beta-cell function.</p>\",\"PeriodicalId\":47429,\"journal\":{\"name\":\"Clinical Medicine & Research\",\"volume\":\"23 2\",\"pages\":\"53-59\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352914/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Medicine & Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3121/cmr.2025.1974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Medicine & Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3121/cmr.2025.1974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Non-equivalence of Standard and Unified Criteria for Gestational Diabetes Mellitus.
Objective: There are two types of criteria for diagnosing gestational diabetes mellitus (GDM). The first is based on measurement of three values on the glucose tolerance test (GTT) and making a diagnosis when any value is abnormal (individual time-point criterion). The second is based on creating a weighted average of the three values and using the average to split glycemic status into normal gestational glycemia (NGG), impaired gestational glycemia (IGG), gestational diabetes (GDM), or high-risk gestational diabetes (hGDM) (unified criterion). There is no information currently regarding how these two criteria relate to each other in the diagnosis of GDM. This study aimed to make this comparison.Design: Cross-sectional study.Setting: Publicly available data on a cohort of women in pregnancy.Participants: Pregnant women from the cohort.Methods: The cross-classification of diagnosis by two criteria was evaluated. The individual time-point criterion had a binary outcome (GDM yes/no), while the unified criterion had the four aforementioned outcomes.Results: Within the low risk (non-GDM) category by the individual time-point criterion, 1 in 85 women would have been deemed at high risk by the unified criterion. More importantly, within the high risk (GDM) category by the individual time-point criterion, 1 in 2 women would have been deemed at low risk by the unified criterion.Conclusion: The standard criterion is not equivalent to the unified criterion in terms of risk estimation. This is important as the unified criterion correlates with area under the GTT curve known to be associated with glucose excursion and is predictive of the net effect of insulin resistance and beta-cell function.
期刊介绍:
Clinical Medicine & Research is a peer reviewed publication of original scientific medical research that is relevant to a broad audience of medical researchers and healthcare professionals. Articles are published quarterly in the following topics: -Medicine -Clinical Research -Evidence-based Medicine -Preventive Medicine -Translational Medicine -Rural Health -Case Reports -Epidemiology -Basic science -History of Medicine -The Art of Medicine -Non-Clinical Aspects of Medicine & Science