Development and internal validation of the Edmonton Obesity Staging System-2 Risk screening Tool (EOSS-2 Risk Tool) for weight-related health complications: a case-control study in a representative sample of Australian adults with overweight and obesity.

OBJECTIVE: Excess weight and related health complications remain under diagnosed and poorly treated in general practice. We aimed to develop and validate a brief screening tool for determining the presence of unknown clinically significant weight-related health complications for potential application in general practice. DESIGN: We considered 14 self-reported candidate predictors of clinically significant weight-related health complications according to the Edmonton Obesity Staging System (EOSS score of ≥2) and developed models using multivariate logistic regression across training and test data sets. The final model was chosen based on the area under the receiver operating characteristic curve and the Hosmer-Lemeshow statistic; and validated using sensitivity, specificity and positive predictive value. SETTING AND PARTICIPANTS: We analysed cross-sectional data from the Australian Health Survey 2011-2013 sample aged between 18 and 65 years (n=7518) with at least overweight and obesity. RESULTS: An EOSS≥2 classification was present in 78% of the sample. Of 14 candidate risk factors, 6 (family history of diabetes, hypertension, high sugar in blood/urine, high cholesterol and self-reported bodily pain and disability) were automatically included based on definitional or obvious correlational criteria. Three variables were retained in the final multivariate model (age, self-assessed health and history of depression/anxiety). The EOSS-2 Risk Tool (index test) classified 89% of those at 'extremely high risk' (≥25 points), 67% of those at 'very high risk' (7-24 points) and 42% of those at 'high risk' (<7 points) of meeting diagnostic criteria for EOSS≥2 (reference). CONCLUSION: The EOSS-2 Risk Tool is a simple, safe and accurate screening tool for diagnostic criteria for clinically significant weight-related complications for potential application in general practice. Research to determine the feasibility and applicability of the EOSS-2 Risk Tool for improving weight management approaches in general practice is warranted.

Outcomes of twin pregnancies complicated by gestational diabetes: a meta-analysis of observational studies.

OBJECTIVE: Gestational diabetes mellitus (GDM) in singleton pregnancy is associated with large for gestational age neonates and adverse perinatal outcomes; however, the impact of GDM in twin pregnancy is unclear. Thus, the aim of this study is to assess the perinatal outcomes of twin pregnancies complicated by GDM by performing a meta-analysis of observational studies. STUDY DESIGN: Studies investigating GDM in twin pregnancy were identified through an online search of three databases: Medline, Embase and Web of Science. Selection criteria comprised full paper observational studies (retrospective or prospective) published in English that examined GDM in twin pregnancy compared with non-GDM twin pregnancy and reported on birth weight and/or adverse perinatal outcomes. Random-effects models with inverse-variance weighting were used to calculate standardized mean differences and unadjusted odds ratios. Sensitivity analyses were carried out to determine the impact of possible maternal confounders (body mass index and age) and GDM diagnostic criteria on perinatal outcomes. RESULTS: Thirteen observational studies were included. GDM twins were born at the same gestation as non-GDM twins, with marginally lower birth weight. There was no difference in the incidence of large or small for gestational age neonates. Although there was no correlation between GDM in twin pregnancy and respiratory distress, neonatal hypoglycemic or low Apgar score, GDM twins had a higher rate of neonatal intensive care unit admission (OR 1.49; 95% confidence interval: 1.10, 2.02; P<0.01). CONCLUSION: Identification and subsequent treatment of GDM in twin pregnancy demonstrates a similar risk of adverse perinatal outcomes compared with non-GDM twin pregnancies.