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Background: Polycystic Ovary Syndrome (PCOS) is tightly associated with insulin resistance and obesity and characterized by hyperandrogenism, chronic oligo-anovulation and polycystic ovarian morphology when fully expressed. The 2003 Rotterdam consensus proposed that two or three of these features were necessary to make the diagnosis, which generated four phenotypes. Several studies have suggested that these phenotypes could differ in their metabolic and endocrine characteristics and that they could vary in the same patient when analyzed throughout life. Aim: To determine if the initial classification of PCOS phenotypes is modified by different physiological conditions. Material and Methods: We performed a non-concurrent prospective analysis of 88 women with PCOS according to the Rotterdam criteria. The effect of physiological conditions such as changes in body weight, pregnancy and ageing more than five years on PCOS phenotype expression was analyzed. Results: Twenty four percent of women became pregnant, 37% decreased and 24% increased their body weight during follow up. These conditions modified significantly the proportion of the different phenotypes (c2 = 32.2, p < 0.001). For instance, weight reduction was associated with a change to a better phenotype (p = 0.047) and even a normalization of the PCOS condition in 27% of the patients. On the other hand, an increase in body weight modifying body mass index in one unit, conferred an 8% probability of changing to a worst phenotype. Conclusions: Pregnancy and changes in body weight significantly modify PCOS phenotypes.

Background Polycystic Ovary Syndrome (PCOS) is an endocrine disorder that affects women in reproductive age and represents an unfavourable risk factor for several pregnancy and perinatal outcomes. Despite, no guidelines or pharmaceutical strategies for treating PCOS during pregnancy are available. The aim of this study is to determine the association between polycystic ovary syndrome with or without metformin and the pregnancy, perinatal outcomes as well as the risk of obesity in children born to these mothers. Methods In this nationwide population-based cohort study based in Swedish population, all singleton births (n = 1,016,805) from 686,847 women since 2006 up to 2016 were included. Multivariable logistic and Cox regression modelling with odds ratios (OR) and hazard ratios (HR) and 95% confidence intervals were used to study the association between the exposure of maternal PCOS, metformin during pregnancy (or the combination of both) and: 1) Pregnancy outcomes: preeclampsia, gestational diabetes, caesarean section, and acute caesarean section, 2) Perinatal outcomes: preterm birth, stillbirth, low birth weight, macrosomia, Apgar < 7 at 5 min, small for gestational age and large for gestational age, and 3) Childhood Obesity. Results PCOS in women without metformin use during pregnancy was associated with higher risks of preeclampsia (OR = 1.09, 1.02-1.17), gestational diabetes (OR = 1.71, 1.53-1.91) and caesarean section (OR = 1.08, 1.04-1.12), preterm birth (OR = 1.30, 1.23-1.38), low birth weight (OR = 1.29, 1.20-1.38), low Apgar scores (OR = 1.17, 1.05-1.31) and large for gestational age (OR = 1.11, 1.03-1.20). Metformin use during pregnancy (in women without PCOS) was associated with a 29% lower risks of preeclampsia (OR = 0.71, 0.51-0.97), macrosomia and large for gestational age. Obesity was more common among children born to mothers with PCOS without metformin (HR = 1.61, 1.44-1.81); and those with metformin without PCOS (HR = 1.67, 1.05-2.65). PCOS with metformin was not associated with any adverse outcome. Conclusion PCOS was associated with increased risks of adverse pregnancy and perinatal outcomes and childhood obesity. Metformin appears to reduce these risks in mothers with polycystic ovary syndrome and their children; but may increase the risk of childhood-obesity in children form women without PCOS. Open access funding provided by Karolinska Institute. Becas Chile, HKH Kronprinsessan Lovisas förening för barnasjukvård and Stiftelsen Axel Tielmans minnesfond Lovisas. These funding sources were not involved in the design, collection, analysis, or interpretation of the data, writing or the decision to submit this report, and were only used for salary and publishing purposes. To Sweden for building and maintaining the registers that made enabled this and other epidemiological research projects. To Marco Alicera and Dmitry Chekmenev for their support in PostgreSQL.