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Although women with GDM are considered to be highly motivated, SMBG adherence and reliability are of concern and may be associated with poor gestational prognosis, suggesting that caregivers should systematically check the glucose meter memory to improve GDM management.

Standard selective screening criteria were not predictive of GDM in women from India-Pakistan-Sri Lanka and Asia and were associated with GDM-related events only in European and North African women. However, the women with GDM, who were routinely treated, had a poor prognosis, even for those free of RFs. These results support universal screening, irrespective of ethnicity.

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OBJECTIVEWe investigated whether glycation gap (G-Gap), an index of intracellular glycation of proteins, was associated with diabetes complications.RESEARCH DESIGN AND METHODSWe measured concomitantly HbA1c and fructosamine in 925 patients with type 2 diabetes to calculate the G-Gap, defined as the difference between measured HbA1c, and fructosamine-based predicted HbA1c. Patients were explored for retinopathy, nephropathy, peripheral neuropathy, cardiac autonomic neuropathy (n = 512), and silent myocardial ischemia (n = 506).RESULTSMacroproteinuria was the only complication that was associated with G-Gap (prevalence in the first, second, and third tertile of G-Gap: 2.9, 6.2, and 11.0%, respectively; P < 0.001). The G-Gap was higher in patients with macroproteinuria than in those without (1.06 ± 1.62 vs. 0.03 ± 1.30%; P < 0.0001). Because HbA1c was associated with both G-Gap (HbA1c 7.0 ± 1.4, 7.9 ± 1.4, and 10.1 ± 1.8% in the first, second, and third G-Gap tertile, respectively; P < 0.0001) and macroproteinuria (HbA1c 8.8 ± 2.2% if macroproteinuria, 8.3 ± 2.0% if none; P < 0.05), and because it could have been a confounder, we matched 54 patients with macroproteinuria and 200 patients without for HbA1c. Because macroproteinuria was associated with lower serum albumin and fructosamine levels, which might account for higher G-Gap, we calculated in this subpopulation albumin-indexed fructosamine and G-Gap; macroproteinuria was independently associated with male sex (odds ratio [OR] 3.2 [95% CI 1.5–6.7]; P < 0.01), hypertension (2.9 [1.1–7.5]; P < 0.05), and the third tertile of albumin-indexed G-Gap (2.3 [1.1–4.4]; P < 0.05) in multivariate analysis.CONCLUSIONSIn type 2 diabetic patients, G-Gap was associated with macroproteinuria, independently of HbA1c, albumin levels, and confounding factors, suggesting a specific role of intracellular glycation susceptibility on kidney glomerular changes.

Aims To evaluate the percentage of women with untreated fasting hyperglycaemia in early pregnancy who develop gestational diabetes mellitus after 22 weeks’ gestation, the determinants of gestational diabetes development in such women and the prognosis of early fasting hyperglycaemia according to whether the women go on to develop gestational diabetes. Methods From a large cohort of women who delivered in our hospital between 2012 and 2016, we retrospectively selected all those who had untreated early fasting hyperglycaemia and separated them into a ‘gestational diabetes’ and a ‘no‐gestational diabetes’ group according to oral glucose tolerance test results after 22 weeks’ gestation. We compared the incidence of a predefined composite outcome (preeclampsia or large‐for‐gestational‐age infant or shoulder dystocia or neonatal hypoglycaemia) in both groups. Results A total of 268 women (mean fasting plasma glucose 5.3 ± 0.3 mmol/l at a mean ± sd of 10.2 ± 4.2 weeks’ gestation) were included. Gestational diabetes developed in 134 women and was independently associated with early fasting plasma glucose ≥ 5.5 mmol/l [odds ratio 3.16 (95% CI 1.57, 6.33)], age ≥ 30 years [odds ratio 2.78 (95% CI 1.46, 5.31)], preconception obesity [odds ratio 2.12 (95% CI 1.11, 4.02)], family history of diabetes [odds ratio 1.87 (95% CI 1.00, 3.50)] and current employment [odds ratio 0.46 (95% CI 0.26, 0.83)]. Despite treatment, gestational diabetes induced a significant increase in the composite outcome as compared to no gestational diabetes (odds ratio 2.16 [95% CI 1.08, 4.34]). The association disappeared after adjustment for risk factors. Conclusions Only half of the women with early fasting hyperglycaemia and no specific care subsequently developed gestational diabetes, and these women had a poor prognosis despite gestational diabetes treatment. Poor prognosis was mostly attributable to risk factors. Our results suggest that only women with certain risk factors should be screened for early fasting hyperglycaemia.

Our data do not support the characterization of metabolically healthy obesity, even definite, as really healthy, as many patients with this phenotype have abnormal cardiovascular markers and glucose or liver abnormalities. HbA1c measurement seems to be more sensitive than OGTT to detect dysglycemia in this population.