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Summary: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in females. Modest weight loss improves reproductive and metabolic PCOS features. While lifestyle modifications and pharmacotherapies remain first‐line weight loss strategies, bariatric surgery is emerging as a potentially effective treatment. We performed a systematic review and meta‐analysis of published literature to examine the impact of bariatric surgery in PCOS to inform the 2023 International PCOS Evidence‐based Guidelines. Electronic databases were searched for observational studies and trials comparing pharmacologic or lifestyle treatments to bariatric surgery in women with PCOS or bariatric surgery in women with or without PCOS. Anthropometric, reproductive, hormonal, and metabolic outcomes were included and, where possible, meta‐analyzed using random‐effects models. Risk of bias and evidence quality were assessed. Ten studies were included involving 432 women with and 590 women without PCOS. Comparisons between bariatric surgery and pharmacologic or lifestyle treatments were only reported in one study each, and most reproductive outcomes were limited to a single study; therefore, meta‐analyses could not be performed. Meta‐analysis found that women with PCOS experience similar improvements in anthropometric, hormonal, and metabolic outcomes after bariatric surgery compared to those without PCOS. Existing research is limited and of low quality with high risk of bias, especially in comparison to existing PCOS treatments and with respect to reproductive outcomes including pregnancy, highlighting the need for additional studies to inform clinical recommendations. [ABSTRACT FROM AUTHOR]

Background: There is limited information regarding the association between missed appointments and neonatal outcomes for diabetes in pregnancy. Study Methods: This retrospective live birth cohort included pregnant women with Type 1 or 2 diabetes who attended specialized clinics from 2008 to 2020. The association between at least one missed antenatal diabetes appointments and outcomes were assessed using logistic regression and reported as adjusted odds ratios (aOR) (95% confidence interval). Mediation analyses were conducted to examine if above target HbA1c mediated these relationships. Results: The cohort included 407 and 902 women with Type 1 and 2 diabetes, respectively, of whom 25.1% and 34.5% missed at least one appointment. Women with Type 1 diabetes who missed an appointment were more likely to have a caesarean section (aOR 1.95 [1.15, 3.31]) and their babies more likely to be admitted to the neonatal intensive care unit (aOR 2.25 [1.35, 3.75]). Women with Type 2 diabetes who missed an appointment were more likely to have a large‐for‐gestational‐age infant (aOR 1.61 [1.13, 2.28]), and an extreme large‐for‐gestational‐age infant (aOR 1.69 [1.02, 2.81]) compared with women who did not miss appointments. Above target HbA1c mediated the relationship between missed appointments and caesarean delivery in Type 1 diabetes and large‐for‐gestational age and extreme large‐for‐gestational age in Type 2 diabetes. Conclusion: In individuals with Type 1 and 2 diabetes, there are differences in neonatal outcomes between those who missed an appointment compared to those who did not. It remains unclear if missed diabetes appointments are causative or a marker of other health behaviours or risk factors leading to neonatal morbidity. [ABSTRACT FROM AUTHOR]

Aims: (1) To determine the likelihood of full breastfeeding at 3 months postpartum in women with and without diabetes in pregnancy (DiP); (2) to explore the associations between diabetes management practices and infant feeding practices in those who had DiP and (3) to examine women's experiences of feeding their infants after having DiP. Methods: The quantitative study used data from Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study. Participants who had DiP (n = 62) were matched 1:3 to participants without DiP for pre‐pregnancy BMI, parity, mode of delivery and pre‐term birth. Infant feeding questionnaires, prospective breastfeeding diaries and medical chart data were analysed to determine likelihood of fully breastfeeding at 3 months postpartum. For the qualitative study, interviews were conducted with postpartum women who had DiP to explore the experiences of infant feeding. Interviews were thematically analysed, and the results were compared between women who were categorized as 'full breast feeders' or 'mixed feeders'. Results: The odds of fully breastfeeding were 50% lower in women with DiP than women without DiP (OR: 0.50, 95% CI 0.25–0.99, p = 0.04). Qualitative interviews identified that although all women showed resilience in the face of infant feeding challenges, those who were fully breastfeeding reported seeking out external infant feeding supports, for example, classes or Doula's. Mixed Feeders perceived there was a lack of infant feeding information and support given to them prior to giving birth. Conclusion: Women with DiP may require additional prenatal and postnatal infant feeding support to be better prepared to overcome feeding challenges they may face. [ABSTRACT FROM AUTHOR]

Objective: The objective of the study is to assess the impact of maternal glycaemic control and large-for-gestational-age (LGA) infant size on the risk of developing neonatal hypoglycaemia in offspring of women with type 1 diabetes and to determine possible predictors of neonatal hypoglycaemia and LGA.Research Methods and Design: This retrospective cohort study evaluated pregnancies in 161 women with type 1 diabetes mellitus at a large urban centre between 2006 and 2010. Mean trimester A1c values were categorized into five groups. Multiple logistic regression analyses were used to examine predictors of neonatal hypoglycaemia and large-for-gestational-age (LGA).Results: Hypoglycaemia occurred in 36.6% of neonates. There was not a linear association between trimester specific A1c and LGA. After adjusting for maternal age, body mass index (BMI), smoking and premature delivery, neonatal hypoglycaemia was not linearly associated with A1c in the first, second or third trimesters. LGA was the only significant predictor for neonatal hypoglycaemia (OR, 95% CI 2.51 [1.10, 5.70]) in logistic regression analysis that adjusted for glycaemic control, maternal age, smoking, prematurity and BMI. An elevated third trimester A1c increased the odds of LGA (1.81 [1.03, 3.18]) after adjustment for smoking, parity and maternal BMI.Conclusions: Large-for-gestational-age imparts a 2.5-fold increased odds of hypoglycaemia in neonates of women with type 1 diabetes and may be a better predictor of neonatal hypoglycaemia than maternal glycaemic control. Our data suggest that LGA neonates of women with type 1 diabetes should prompt increased surveillance for neonatal hypoglycaemia and that the presence of optimum maternal glycaemic control should not reduce this surveillance. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]