Detecting impaired glucose tolerance or type 2 diabetes mellitus by means of an oral glucose tolerance test in HIV-infected patients

AbstractType 2 diabetes, which is caused by both genetic and environmental factors, may be diagnosed using the oral glucose tolerance test (OGTT). Recent studies demonstrated specific patterns in glucose curves during OGTT associated with cardiometabolic risk profiles. As the relative contribution of genetic and environmental influences on glucose curve patterns is unknown, we aimed to investigate the heritability of these patterns. We studied twins from the Danish GEMINAKAR cohort aged 18–67 years and free from diabetes at baseline during 1997–2000; glucose concentrations were measured three times during a 2-h OGTT. Heterogeneity of the glucose response during OGTT was examined with latent class mixed-effects models, evaluating goodness of fit by Bayes information criterion. The genetic influence on curve patterns was estimated using quantitative genetic modeling based on linear structural equations. Overall, 1455 twins (41% monozygotic) had valid glucose concentrations measured from the OGTT, and four latent classes with different glucose response patterns were identified. Statistical modeling demonstrated genetic influence for belonging to a specific class or not, with heritability estimated to be between 45% and 67%. During ∼12 years of follow-up, the four classes were each associated with different incidence of type 2 diabetes. Hence, glucose response curve patterns associated with type 2 diabetes risk appear to be moderately to highly heritable.

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Accuracy of 1-Hour Plasma Glucose During the Oral Glucose Tolerance Test in Diagnosis of Type 2 Diabetes in Adults: A Meta-analysis

10.2337/figshare.13570910 ◽

2021 ◽

Author(s):

Vasudha Ahuja ◽

Pasi Aronen ◽

TA Pramod Kumar ◽

Helen Looker ◽

Angela Chetrit ◽

...

Keyword(s):

Type 2 Diabetes ◽

Glucose Tolerance ◽

Oral Glucose Tolerance Test ◽

Plasma Glucose ◽

Glucose Tolerance Test ◽

Meta Analysis ◽

Tolerance Test ◽

Oral Glucose ◽

Oral Glucose Tolerance

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 cut-off of 1-h PG to detect 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 2705 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 cut-off to detect 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 cut-offs 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 cut-off of 11.6 mmol/L (95% CI 10.6, 12.6) had a sensitivity 0.92 (0.87, 0.95), specificity of 0.91 (0.88, 0.93), AUC 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 <a>has a </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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