Literature DB >> 30371961

Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.

Bernd Richter1, Bianca Hemmingsen, Maria-Inti Metzendorf, Yemisi Takwoingi.   

Abstract

BACKGROUND: Intermediate hyperglycaemia (IH) is characterised by one or more measurements of elevated blood glucose concentrations, such as impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycosylated haemoglobin A1c (HbA1c). These levels are higher than normal but below the diagnostic threshold for type 2 diabetes mellitus (T2DM). The reduced threshold of 5.6 mmol/L (100 mg/dL) fasting plasma glucose (FPG) for defining IFG, introduced by the American Diabetes Association (ADA) in 2003, substantially increased the prevalence of IFG. Likewise, the lowering of the HbA1c threshold from 6.0% to 5.7% by the ADA in 2010 could potentially have significant medical, public health and socioeconomic impacts.
OBJECTIVES: To assess the overall prognosis of people with IH for developing T2DM, regression from IH to normoglycaemia and the difference in T2DM incidence in people with IH versus people with normoglycaemia. SEARCH
METHODS: We searched MEDLINE, Embase, ClincialTrials.gov and the International Clinical Trials Registry Platform (ICTRP) Search Portal up to December 2016 and updated the MEDLINE search in February 2018. We used several complementary search methods in addition to a Boolean search based on analytical text mining. SELECTION CRITERIA: We included prospective cohort studies investigating the development of T2DM in people with IH. We used standard definitions of IH as described by the ADA or World Health Organization (WHO). We excluded intervention trials and studies on cohorts with additional comorbidities at baseline, studies with missing data on the transition from IH to T2DM, and studies where T2DM incidence was evaluated by documents or self-report only. DATA COLLECTION AND ANALYSIS: One review author extracted study characteristics, and a second author checked the extracted data. We used a tailored version of the Quality In Prognosis Studies (QUIPS) tool for assessing risk of bias. We pooled incidence and incidence rate ratios (IRR) using a random-effects model to account for between-study heterogeneity. To meta-analyse incidence data, we used a method for pooling proportions. For hazard ratios (HR) and odds ratios (OR) of IH versus normoglycaemia, reported with 95% confidence intervals (CI), we obtained standard errors from these CIs and performed random-effects meta-analyses using the generic inverse-variance method. We used multivariable HRs and the model with the greatest number of covariates. We evaluated the certainty of the evidence with an adapted version of the GRADE framework. MAIN
RESULTS: We included 103 prospective cohort studies. The studies mainly defined IH by IFG5.6 (FPG mmol/L 5.6 to 6.9 mmol/L or 100 mg/dL to 125 mg/dL), IFG6.1 (FPG 6.1 mmol/L to 6.9 mmol/L or 110 mg/dL to 125 mg/dL), IGT (plasma glucose 7.8 mmol/L to 11.1 mmol/L or 140 mg/dL to 199 mg/dL two hours after a 75 g glucose load on the oral glucose tolerance test, combined IFG and IGT (IFG/IGT), and elevated HbA1c (HbA1c5.7: HbA1c 5.7% to 6.4% or 39 mmol/mol to 46 mmol/mol; HbA1c6.0: HbA1c 6.0% to 6.4% or 42 mmol/mol to 46 mmol/mol). The follow-up period ranged from 1 to 24 years. Ninety-three studies evaluated the overall prognosis of people with IH measured by cumulative T2DM incidence, and 52 studies evaluated glycaemic status as a prognostic factor for T2DM by comparing a cohort with IH to a cohort with normoglycaemia. Participants were of Australian, European or North American origin in 41 studies; Latin American in 7; Asian or Middle Eastern in 50; and Islanders or American Indians in 5. Six studies included children and/or adolescents.Cumulative incidence of T2DM associated with IFG5.6, IFG6.1, IGT and the combination of IFG/IGT increased with length of follow-up. Cumulative incidence was highest with IFG/IGT, followed by IGT, IFG6.1 and IFG5.6. Limited data showed a higher T2DM incidence associated with HbA1c6.0 compared to HbA1c5.7. We rated the evidence for overall prognosis as of moderate certainty because of imprecision (wide CIs in most studies). In the 47 studies reporting restitution of normoglycaemia, regression ranged from 33% to 59% within one to five years follow-up, and from 17% to 42% for 6 to 11 years of follow-up (moderate-certainty evidence).Studies evaluating the prognostic effect of IH versus normoglycaemia reported different effect measures (HRs, IRRs and ORs). Overall, the effect measures all indicated an elevated risk of T2DM at 1 to 24 years of follow-up. Taking into account the long-term follow-up of cohort studies, estimation of HRs for time-dependent events like T2DM incidence appeared most reliable. The pooled HR and the number of studies and participants for different IH definitions as compared to normoglycaemia were: IFG5.6: HR 4.32 (95% CI 2.61 to 7.12), 8 studies, 9017 participants; IFG6.1: HR 5.47 (95% CI 3.50 to 8.54), 9 studies, 2818 participants; IGT: HR 3.61 (95% CI 2.31 to 5.64), 5 studies, 4010 participants; IFG and IGT: HR 6.90 (95% CI 4.15 to 11.45), 5 studies, 1038 participants; HbA1c5.7: HR 5.55 (95% CI 2.77 to 11.12), 4 studies, 5223 participants; HbA1c6.0: HR 10.10 (95% CI 3.59 to 28.43), 6 studies, 4532 participants. In subgroup analyses, there was no clear pattern of differences between geographic regions. We downgraded the evidence for the prognostic effect of IH versus normoglycaemia to low-certainty evidence due to study limitations because many studies did not adequately adjust for confounders. Imprecision and inconsistency required further downgrading due to wide 95% CIs and wide 95% prediction intervals (sometimes ranging from negative to positive prognostic factor to outcome associations), respectively.This evidence is up to date as of 26 February 2018. AUTHORS'
CONCLUSIONS: Overall prognosis of people with IH worsened over time. T2DM cumulative incidence generally increased over the course of follow-up but varied with IH definition. Regression from IH to normoglycaemia decreased over time but was observed even after 11 years of follow-up. The risk of developing T2DM when comparing IH with normoglycaemia at baseline varied by IH definition. Taking into consideration the uncertainty of the available evidence, as well as the fluctuating stages of normoglycaemia, IH and T2DM, which may transition from one stage to another in both directions even after years of follow-up, practitioners should be careful about the potential implications of any active intervention for people 'diagnosed' with IH.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30371961      PMCID: PMC6516891          DOI: 10.1002/14651858.CD012661.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  614 in total

1.  Cut-off values of fasting and post-load plasma glucose and HbA1c for predicting Type 2 diabetes in community-dwelling Japanese subjects: the Hisayama Study.

Authors:  N Mukai; Y Doi; T Ninomiya; J Hata; Y Hirakawa; M Fukuhara; M Iwase; Y Kiyohara
Journal:  Diabet Med       Date:  2012-01       Impact factor: 4.359

2.  Antihypertensive drugs as predictors of type 2 diabetes among subjects with impaired glucose tolerance.

Authors:  U Rajala; Q Qiao; M Laakso; S Keinänen-Kiukaanniemi
Journal:  Diabetes Res Clin Pract       Date:  2000-12       Impact factor: 5.602

3.  The influence of prehypertension, hypertension, and glycated hemoglobin on the development of type 2 diabetes mellitus in prediabetes: the Korean Genome and Epidemiology Study (KoGES).

Authors:  Ju Young Jung; Chang-Mo Oh; Jae-Hong Ryoo; Joong-Myung Choi; Young-Jun Choi; Woo Taek Ham; Sung Keun Park
Journal:  Endocrine       Date:  2018-01-29       Impact factor: 3.633

4.  Prevalence of cardiovascular and renal complications in older adults with normal or impaired glucose tolerance or NIDDM. A population-based study.

Authors:  D L Wingard; E L Barrett-Connor; C Scheidt-Nave; J B McPhillips
Journal:  Diabetes Care       Date:  1993-07       Impact factor: 19.112

5.  The value of glycosylated hemoglobin (HbA1c) as a predictive risk factor in the diagnosis of diabetes mellitus (DM) in the elderly.

Authors:  M Motta; E Bennati; E Cardillo; L Ferlito; M Malaguarnera
Journal:  Arch Gerontol Geriatr       Date:  2009-04-03       Impact factor: 3.250

6.  Association of fasting glucose levels with incident atherosclerotic cardiovascular disease: An 8-year follow-up study in a Chinese population.

Authors:  Fangchao Liu; Xueli Yang; Jianxin Li; Jie Cao; Jichun Chen; Ying Li; Xiaoqing Liu; Liancheng Zhao; Chong Shen; Ling Yu; Jianfeng Huang; Dongfeng Gu
Journal:  J Diabetes       Date:  2016-03-16       Impact factor: 4.006

7.  Hemoglobin A1c as a diagnostic tool for diabetes screening and new-onset diabetes prediction: a 6-year community-based prospective study.

Authors:  Sung Hee Choi; Tae Hyuk Kim; Soo Lim; Kyong Soo Park; Hak C Jang; Nam H Cho
Journal:  Diabetes Care       Date:  2011-02-18       Impact factor: 19.112

8.  High-Sensitivity Cardiac Troponin T (hs-cTnT) as a Predictor of Incident Diabetes in the Atherosclerosis Risk in Communities Study.

Authors:  Seamus P Whelton; John W McEvoy; Mariana Lazo; Josef Coresh; Christie M Ballantyne; Elizabeth Selvin
Journal:  Diabetes Care       Date:  2016-11-15       Impact factor: 19.112

9.  Diurnal Cortisol Patterns, Future Diabetes, and Impaired Glucose Metabolism in the Whitehall II Cohort Study.

Authors:  Ruth A Hackett; Mika Kivimäki; Meena Kumari; Andrew Steptoe
Journal:  J Clin Endocrinol Metab       Date:  2015-12-08       Impact factor: 5.958

10.  Developing optimal search strategies for detecting clinically sound prognostic studies in MEDLINE: an analytic survey.

Authors:  Nancy L Wilczynski; R Brian Haynes
Journal:  BMC Med       Date:  2004-06-09       Impact factor: 8.775

View more
  35 in total

1.  Identifying subgroups of people at risk for type 2 diabetes.

Authors:  Miriam S Udler
Journal:  Nat Med       Date:  2021-01       Impact factor: 53.440

2.  Risk of progression to diabetes and mortality in older people with prediabetes: The English longitudinal study on ageing.

Authors:  Nicola Veronese; Marianna Noale; Alan Sinclair; Mario Barbagallo; Ligia J Dominguez; Lee Smith; Damiano Pizzol; Stefania Maggi
Journal:  Age Ageing       Date:  2022-02-02       Impact factor: 10.668

3.  Anthropometric Indices as Long-Term Predictors of Diabetes in Impaired Fasting Glucose Metabolism: Findings in the PURE Study in Poland.

Authors:  Agnieszka Święcicka-Klama; Katarzyna Połtyn-Zaradna; Maria Wołyniec; Andrzej Szuba; Katarzyna Zatońska
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

Review 4.  Screening for Diabetes and Prediabetes.

Authors:  Daisy Duan; Andre P Kengne; Justin B Echouffo-Tcheugui
Journal:  Endocrinol Metab Clin North Am       Date:  2021-07-12       Impact factor: 4.748

5.  Association of the extent of return to fasting state 2-hours after a glucose challenge with incident prediabetes and type 2 diabetes: The CARDIA study.

Authors:  Sithara Vivek; Mercedes R Carnethon; Anna Prizment; April P Carson; Michael P Bancks; David R Jacobs; Bharat Thyagarajan
Journal:  Diabetes Res Clin Pract       Date:  2021-08-12       Impact factor: 8.180

Review 6.  Benefit of lifestyle-based T2DM prevention is influenced by prediabetes phenotype.

Authors:  Matthew D Campbell; Thirunavukkarasu Sathish; Paul Z Zimmet; Kavumpurathu R Thankappan; Brian Oldenburg; David R Owens; Jonathan E Shaw; Robyn J Tapp
Journal:  Nat Rev Endocrinol       Date:  2020-02-14       Impact factor: 43.330

7.  Association of Prediabetes With CKD Progression and Adverse Cardiovascular Outcomes: An Analysis of the CRIC Study.

Authors:  João Sérgio Neves; Simon Correa; Rute Baeta Baptista; Miguel Bigotte Vieira; Sushrut S Waikar; Finnian R Mc Causland
Journal:  J Clin Endocrinol Metab       Date:  2020-04-01       Impact factor: 5.958

Review 8.  Prediabetes and What It Means: The Epidemiological Evidence.

Authors:  Justin B Echouffo-Tcheugui; Elizabeth Selvin
Journal:  Annu Rev Public Health       Date:  2021-12-23       Impact factor: 21.981

Review 9.  Phenotyping the Prediabetic Population-A Closer Look at Intermediate Glucose Status and Cardiovascular Disease.

Authors:  Elena Barbu; Mihaela-Roxana Popescu; Andreea-Catarina Popescu; Serban-Mihai Balanescu
Journal:  Int J Mol Sci       Date:  2021-06-25       Impact factor: 5.923

10.  Efficacy of lifestyle intervention in adults with impaired glucose tolerance with and without impaired fasting plasma glucose: A post hoc analysis of Da Qing Diabetes Prevention Outcome Study.

Authors:  Qiuhong Gong; Ping Zhang; Jinping Wang; Edward W Gregg; Yiling J Cheng; Guangwei Li; Peter H Bennett
Journal:  Diabetes Obes Metab       Date:  2021-07-27       Impact factor: 6.408

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.