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

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.

Association of Self-Reported Polycystic Ovary Syndrome, Obesity, and Weight Gain From Adolescence to Adulthood With Hypertensive Disorders of Pregnancy: A Community-Based Approach.

The purpose of this prospective, population-based cohort study was to evaluate the roles of polycystic ovary syndrome (PCOS), obesity, weight gain, and hyperandrogenemia in the development of hypertensive disorders of pregnancy (HDP) through fertile age both in PCOS and in non-PCOS women. The study population-NFBC1966 (Northern Finland Birth Cohort 1966)-allowed a long-term follow-up of women from age 14 until 46 years who developed HDP (n=408) or did not (n=3373). HDP diagnosis was confirmed by combining hospital discharge records, data from Finnish Medical Birth Registers, and the questionnaire data at age 46. Women with self-reported PCOS (srPCOS; n=279), defined by both oligo-amenorrhea and hirsutism at age 31 or with PCOS diagnosis by age 46, were compared with women without reported PCOS (n=1577). Women with srPCOS had an increased HDP risk (odds ratio, 1.56 [95% CI, 1.03-2.37]), but the association disappeared after adjustment for body mass index. In women with srPCOS and HDP, body mass index increased from age 14 to 46 significantly more than in srPCOS women without HDP (median [interquartile range], 9.82 [6.23-14.6] and 7.21 [4.16-10.5] kg/m2, respectively; P<0.001). Also, in non-PCOS women, the increase was higher in women with (7.54 [5.32-11.62] kg/m2; P<0.001) than without HDP (6.33 [3.90-9.33] kg/m2; P<0.001). Increase in waist circumference between ages 31 and 46 years was associated with HDP but not with PCOS. Hyperandrogenemia at 31 or 46 years did not associate with HDP (1.44 [0.98-2.11]). In conclusion, obesity, especially abdominal obesity, and weight gain from adolescence to age 46, but not srPCOS or hyperandrogenemia, were associated with an increased risk of HDP.

Evaluating the 1-h post-load glucose level to predict future type 2 diabetes.

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.