P. Valensi

A large proportion of prediabetes and diabetes goes undiagnosed when only fasting plasma glucose and/or HbA1c are measured in overweight or obese patients

AIMS The purposes of the study were to determine the prevalence of unrecognized dysglycaemia in overweight (body mass index [BMI] 25-29.9 kg/m(2)) and obese (BMI ≥30 kg/m(2)) patients, to assess the extent to which measures of fasting plasma glucose (FPG) and/or HbA(1c), compared with oral glucose tolerance tests (OGTTs), misdiagnose dysglycaemia, and to determine the factors associated with an isolated abnormal post-OGTT glucose value. METHODS OGTT was performed and HbA(1c) was measured in 1283 inpatients with BMI scores ≥ 25 kg/m(2) and no history of dysglycaemia. RESULTS Prediabetes was found in 257 (20.0%) subjects (197 with impaired glucose tolerance, 29 with impaired fasting glucose, 31 with both) and diabetes in 77 (6.0%), including 22 with FPG ≥ 7 mmol/L (WHO definition). The sensitivity of FPG >6 mmol/L, FPG >5.5 mmol/L, HbA(1c) ≥ 6% and the recommendations of the French National Agency of Accreditation and Evaluation in Health Care (ANAES) to identify patients with abnormal OGTTs was 29.9, 41.3, 36.8 and 15.6%, respectively. The factors that were independently associated with diabetes in obese women with FPG <7 mmol/L were age (per 10 years: OR 1.54 [1.00-2.11]; P=0.049) and FPG (OR 6.1 [1.4-30.0]; P=0.014), whereas age (OR 1.26 [1.09-1.44]; P<0.01) and waist circumference (per 10 cm: OR 1.17 [1.01-1.33]; P<0.05) were independently associated with dysglycaemia in obese women with FPG <6.1 mmol/L. CONCLUSION In overweight and obese patients: dysglycaemia is commonly seen; FPG alone, compared with OGTT, failed to diagnose 70% of dysglycaemia cases; FPG >5.5 mmol/L and HbA(1c) ≥ 6.0% are not necessarily substitutes for OGTT; and older age and larger waist circumference should be used to select those obese women with normal FPG who might further benefit from OGTTs to diagnose dysglycaemia.

The Diagnostic and Prognostic Performance of a Selective Screening Strategy for Gestational Diabetes Mellitus According to Ethnicity in Europe

CONTEXT The performance of standard selective screening strategies for gestational diabetes mellitus (GDM) may vary according to ethnicity. OBJECTIVE We aimed to evaluate the diagnostic and prognostic performance of a selective screening tool to determine whether it accurately predicts GDM and events in women of different ethnicities. The tool selectively screens based on patients having one or more of the following risk factors (RFs): body mass index ≥25 kg/m(2), age ≥35 years, family history of diabetes, and personal history of GDM or macrosomia. DESIGN AND SETTING We conducted an observational prospective study at a university hospital. PARTICIPANTS We included 17 344 women of European (30.9%), North African (29.6%), Sub-Saharan African (22.2%), Caribbean (8.7%), Indian-Pakistani-Sri Lankan (5.5%), and Asian (3.3%) ethnicities who were without pregravid diabetes and had singleton deliveries (2002-2010). MAIN OUTCOME MEASURES We universally screened GDM and GDM-related events (pre-eclampsia, birth weight ≥4000 g, or dystocia). RESULTS Independent of confounding factors, North African (odds ratio [OR], 1.35; 95% confidence interval [CI], 1.21-1.52; P < .001) and Indian-Pakistani-Sri Lankan (OR, 2.52; 95% CI, 2.13-3.00; P < .001) women had more GDM than Europeans, whereas Sub-Saharan African women had less (OR, 0.82; 95% CI, 0.71-0.94; P < .01). Having one or more RFs was associated with GDM among Europeans (OR, 1.45; 95% CI, 1.22-1.76), North African (OR, 1.33; 95% CI, 1.13-1.55), Sub-Saharan African (OR, 1.48; 95% CI, 1.20-1.83), and Caribbean (OR, 1.55; 95% CI, 1.12-2.14) women. Having one or more RFs was also associated with GDM-related events only in European (P < .01) and North African (P < .05) women, with the following incidences in Europeans: no GDM/no RF, 6.9%; no GDM/RF, 9.0%; GDM/no RF, 14.7%; and GDM/RF, 12.6%. CONCLUSION 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.

Taux de sevrage tabagique chez la femme enceinte en fonction des trimestres

OBJECTIVE To investigate the smoking cessation period during pregnancy. PATIENTS AND METHODS Questionnaire-based, descriptive study of 979 pregnant women in four regions of France. The variables analysed included the characteristics of the mother and neonate at delivery, the smoking habits of the mother before and during pregnancy, the perception of risk linked to smoking, and the reasons for giving up smoking. RESULTS Eighteen percent of women smoked until delivery. Forty-five percent of women gave up smoking during pregnancy, usually in the first trimester. More precisely, about one woman who smoked out of 50 gives up in order to prepare pregnancy. The proportion of women who stop smoking in each of the three trimesters of pregnancy is 84,1, 8,8 and 7,1% respectively. DISCUSSION AND CONCLUSION Most women appear to stop smoking before any intervention therapy is possible. The first contact with a midwife or an obstetrician takes place whereas smoking cessation is already successful.

Glycation Gap Is Associated With Macroproteinuria but Not With Other Complications in Patients With Type 2 Diabetes

OBJECTIVE We investigated whether glycation gap (G-Gap), an index of intracellular glycation of proteins, was associated with diabetes complications. RESEARCH DESIGN AND METHODS We 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). RESULTS Macroproteinuria 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. CONCLUSIONS In 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.

Factors associated with screening for glucose abnormalities after gestational diabetes mellitus: Baseline cohort of the interventional IMPACT study

INTRODUCTION Although it is important to screen women who have had gestational diabetes mellitus (GDM) for abnormal post-partum glucose levels, such testing is rarely performed. The aim of this study was to use data from the first observational phase of the IMPACT study to determine rates of screening within 6 months of delivery in a multiethnic cohort, focusing in particular on the effects of social deprivation and the risk of future diabetes. PATIENTS AND METHODS To investigate the frequency of post-partum screening, charts were analyzed, and all women attending four centres located in a deprived area who had had GDM between January 2009 and December 2010 were contacted by phone. The Evaluation of Precarity and Inequalities in Health Examination Centres (EPICES) deprivation index and Finnish Diabetes Risk Score (FINDRISK) questionnaire were also evaluated. RESULTS Data were evaluable for 589 of the 719 women contacted (mean age: 33.4 ± 5.2 years; mean body mass index: 27.6 ± 5.4 kg/m(2)), and 196 (33.3%) reported having been screened. On multivariate analysis, factors associated with a lack of screening were smoking [odds ratio (OR): 0.42 (0.20-0.90), P<0.05], low consumption of fruit and vegetables [OR: 0.58 (0.39-0.82), P<0.01] and heavier offspring birth weight (P<0.05), although there were no differences in FINDRISK and EPICES scores between screened and unscreened women. CONCLUSION One-third of women who had had GDM reported having been screened for dysglycaemia at 6 months post-partum. However, it is expected that the interventional phase of the IMPACT study will increase screening rates, especially in women with the risk factors associated with lower screening rates during this observational phase.

Screening for dysglycaemia during pregnancy: Proposals conciliating International Association of Diabetes and Pregnancy Study Group (IADPSG) and US National Institutes of Health (NIH) panels

The International Association of Diabetes and Pregnancy Study Group (IADPSG) has proposed that blood glucose levels for the diagnosis of gestational diabetes mellitus (GDM) be the values associated with a 1.75-fold increase in the risk of neonatal complications in the Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study. However, this recommendation was not adopted by the US National Institutes of Health (NIH) panel as it would have been responsible for a huge increase in the prevalence of GDM with no clear evidence of a reduction of events at such blood glucose values. Considering this aspect, we now propose the use of a blood glucose threshold combination associated with an odds-ratio of 2.0 for neonatal disorders [fasting plasma glucose (FPG)≥ 95 mg/dL, or a 1-h glucose value after a 75-g oral glucose tolerance test (OGTT)≥ 191 mg/dL or a 2-h glucose value ≥ 162 mg/dL] for GDM diagnosis. This would lead to a lower prevalence of GDM and concentrate medical resources on those with the highest risk of complications. This would also allow the use of a similar FPG value for both the diagnosis and therapeutic target of GDM. The IADPSG also proposed screening for dysglycaemia during early pregnancy, using FPG measurement with a similar threshold after 24 weeks of gestation. We propose the same strategy considering an FPG value ≥ 95 mg/dL as abnormal, but only after confirmatory measurements. We also believe that an OGTT should not be used before 24 weeks of gestation as normal values during that time are as yet unknown.

Use of clinical scores to detect dysglycaemia in overweight or obese women

AIMS To test if the use of either HbA(1c) level or calculated clinical scores including two published scores and a new score (the Bondy score) could help in selecting overweight or obese women who should benefit from oral glucose tolerance test (OGTT) to detect dysglycaemia. METHODS The French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) score and the Finnish Diabetes risk score (Findrisk) were calculated, whereas the Bondy score was built in a development sample of 698 women, BMI 37±7 kg/m(2), without known diabetes. External validation was performed in a validation sample of 212 women. RESULTS A dysglycaemia (according to OGTT results, WHO criteria) was diagnosed in 161 (23.1%) patients. Sensitivity of fasting plasma glucose (FPG)≥6.1 mmol/l and HbA(1c)≥6% to identify dysglycaemia were respectively 27 and 41%. Areas under Receiver Operator Curve (AROC) of HbA(1c), DESIR score and Findrisk to detect dysglycaemia were 0.630 [95% confidence interval 0.580-0.680], 0.606 [0.561-0.652] and 0.635 [0.588-0.683], respectively. The Bondy score, based on age and waist circumference, had a better AROC (0.674 [0.626-0.721]) than the DESIR score (P<0.05). These performances were confirmed in the validation sample. Performing OGTT only in subjects with a Bondy score≥4 (41% of the sample) had a sensitivity of 61% and a better net benefit (0.128) than measuring FPG in all subjects (0.069). CONCLUSION Performing OGTT in obese women selected on a simple clinical score is more sensitive to identify dysglycaemia than measuring FPG in all of them and may be cost-effective.

Psychosocial deprivation in women with gestational diabetes mellitus is associated with poor fetomaternal prognoses: an observational study

Objective To evaluate the prognoses associated with psychosocial deprivation in women with gestational diabetes mellitus (GDM). Design Observational study considering the 1498 multiethnic women with GDM who gave birth between January 2009 and February 2012. Setting Four largest maternity units in the northeastern suburban area of Paris. Participants The 994 women who completed the Evaluation of Precarity and Inequalities in Health Examination Centers (EPICES) questionnaire. Main outcome measure Main complications of GDM (large infant for gestational age (LGA), shoulder dystocia, caesarean section, pre-eclampsia). Results Psychosocial deprivation (EPICES score ≥30.17) affected 577 women (56%) and was positively associated with overweight/obesity, parity and non-European origin, and negatively associated with family history of diabetes, fruit and vegetable consumption and working status. The psychosocially deprived women were diagnosed with GDM earlier, received insulin treatment during pregnancy more often and were more likely to have LGA infants (15.1% vs 10.6%, OR=1.5 (95% CI 1.02 to 2.2), p<0.05) and shoulder dystocia (3.1% vs 1.2%, OR=2.7 (0.97 to 7.2), p<0.05). In addition to psychosocial deprivation, LGA was associated with greater parity, obesity, history of GDM, ethnicity, excessive gestational weight gain and insulin therapy. A multivariate analysis using these covariates revealed that the EPICES score was independently associated with LGA infants (per 10 units, OR=1.12 (1.03 to 1.20), p<0.01). Conclusions In our area, psychosocial deprivation is common in women with GDM and is associated with earlier GDM diagnoses and greater insulin treatment, an increased likelihood of shoulder dystocia and, independently of obesity, gestational weight gain and other confounders with LGA infants.

The impact of ovulation induction and ovarian stimulation on the risk of pregnancy-induced hypertension and on neonatal outcomes: A case/control study

OBJECTIVES To study the role of ovarian stimulation procedures on the risk of pregnancy-induced hypertension, gestational diabetes mellitus and neonatal outcomes according to womens characteristics and the causes of infertility. DESIGN Retrospective, observational, case/control study. PATIENTS Spontaneous pregnancies (group A, n=8107), pregnancies achieved after mild ovarian ovulation induction without other Assisted Reproductive Technology (ART) procedures (group B, n=44), pregnancies after mild ovarian stimulation and ART procedures (group C, n=53) or pregnancies after multi (>2) follicular stimulation with gonadotrophin therapy and ART procedures (group D, n=133); all of the groups had identical protocols for prenatal care. MAIN OUTCOME MEASUREMENTS Pregnancy-induced hypertension (PIH), fetal macrosomia (estimated fetal weight >90th percentile), gestational diabetes mellitus, caesarean section, and neonatal outcomes. RESULTS The incidence rates of PIH (2.7, 11.6, 4.2, and 2.5%) in groups A, B, C and D, respectively, (p=0.004), fetal macrosomia (4.7, 7.0, 20.8, and 7.6%, respectively, p<0.001), caesarean section (21.8, 37.2, 21.7, and 17.6%, respectively, p=0.048), differed among the groups. The high incidence of PIH in pregnancies following ovulation induction was driven by polycystic ovarian syndrome (PCOS) per se. CONCLUSION PCOS per se was associated with more PIH, and ART procedures after mild mono/bi follicular ovarian stimulation were associated with more fetal macrosomia.

Fetal gender is not associated with either gestational diabetes mellitus or placental weight: A cohort study

AIM This study assessed whether male fetal gender increases the risk of maternal gestational diabetes mellitus (GDM) and investigated the association with placental weight. METHODS The study included 20,149 women without pregestational diabetes who delivered singletons at our hospital between January 2002 and December 2010. There was universal screening for GDM, and all placentas were weighed at delivery. RESULTS GDM (affecting 14.2% of women) was not associated with fetal gender (male fetuses in women without and with GDM: 51.8% vs. 51.7%, respectively; P=0.957), and remained likewise after logistic-regression analysis of risk factors for GDM (OR: 1.007, 95% CI: 0.930-1.091; P=0.858). Placental weights were 600±126g, 596±123g, 584±118g and 587±181g in women with GDM/female, GDM/male, no GDM/female and no GDM/male fetuses, respectively (GDM effect: P=0.017; gender effect: P=0.41; GDM * gender effect: P=0.16). CONCLUSION The present results suggest that fetal gender is not associated with GDM and, while placental weights were higher in cases of GDM, there were still no gender effects.