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      Clinical and biochemical signs of polycystic ovary syndrome in young women born preterm

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          Abstract

          Objective

          It has been suggested that adverse early life exposures increase the risk of developing polycystic ovary syndrome (PCOS) in later life. We hypothesized that women born preterm would have more biochemical and clinical signs of PCOS than women born at term.

          Design

          The ESTER Preterm Birth Study participants were born in Northern Finland and identified from the Northern Finland Birth Cohort and the Finnish Medical Birth Register. Altogether, 74 women born very or moderately preterm (<34 gestational weeks, VMPT), 127 born late preterm (at 34–36 weeks, LPT), and 184 born full term (≥37 weeks, controls) were included in the analysis (mean age: 23.2 years).

          Methods

          We measured serum total testosterone and sex hormone-binding globulin (SHBG) and calculated the free androgen index (FAI). PCOS according to the clinical and biochemical signs was defined either as hirsutism and oligoamenorrhea (via questionnaire) or as oligoamenorrhea and elevated testosterone levels (>2.4 nmol/L).

          Results

          Women born VMPT/LPT exhibited 33.0% (8.7, 62.8)/16.4% (−2.0, 38.1) higher testosterone, 28.5% (5.3, 45.9)/24.1% (5.6, 38.9) lower SHBG levels, and 64.6% (19.4, 127.1)/42.5% (11.1, 82.9) higher FAI than controls after adjusting for age and recruitment cohort, maternal BMI, smoking, and pregnancy disorders, parental education, history of hypertension, diabetes, myocardial infarction or stroke, and subject’s birth weight s.d. Odds ratios for having PCOS were 1.67 (0.44, 6.23)/3.11 (1.26, 7.70).

          Conclusions

          Women born preterm have a more hyperandrogenic hormonal profile, and those born LPT are approximately three times more likely at risk to have PCOS compared to women born at term.

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          Most cited references41

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          Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis

          Summary Background Preterm birth is the leading cause of death in children younger than 5 years worldwide. Although preterm survival rates have increased in high-income countries, preterm newborns still die because of a lack of adequate newborn care in many low-income and middle-income countries. We estimated global, regional, and national rates of preterm birth in 2014, with trends over time for some selected countries. Methods We systematically searched for data on preterm birth for 194 WHO Member States from 1990 to 2014 in databases of national civil registration and vital statistics (CRVS). We also searched for population-representative surveys and research studies for countries with no or limited CRVS data. For 38 countries with high-quality data for preterm births in 2014, data are reported directly. For countries with at least three data points between 1990 and 2014, we used a linear mixed regression model to estimate preterm birth rates. We also calculated regional and global estimates of preterm birth for 2014. Findings We identified 1241 data points across 107 countries. The estimated global preterm birth rate for 2014 was 10·6% (uncertainty interval 9·0–12·0), equating to an estimated 14·84 million (12·65 million–16·73 million) live preterm births in 2014. 12· 0 million (81·1%) of these preterm births occurred in Asia and sub-Saharan Africa. Regional preterm birth rates for 2014 ranged from 13·4% (6·3–30·9) in North Africa to 8·7% (6·3–13·3) in Europe. India, China, Nigeria, Bangladesh, and Indonesia accounted for 57·9 million (41×4%) of 139·9 million livebirths and 6·6 million (44×6%) of preterm births globally in 2014. Of the 38 countries with high-quality data, preterm birth rates have increased since 2000 in 26 countries and decreased in 12 countries. Globally, we estimated that the preterm birth rate was 9×8% (8×3–10×9) in 2000, and 10×6% (9×0–12×0) in 2014. Interpretation Preterm birth remains a crucial issue in child mortality and improving quality of maternal and newborn care. To better understand the epidemiology of preterm birth, the quality and volume of data needs to be improved, including standardisation of definitions, measurement, and reporting. Funding WHO and the March of Dimes.
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            Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome

            (2004)
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              The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis.

              What is the reported overall prevalence of polycystic ovary syndrome (PCOS) according to the criteria of the National Institutes of Health (NIH), Rotterdam or the Androgen Excess and PCOS Society (AE-PCOS Society)?

                Author and article information

                Journal
                Eur J Endocrinol
                Eur J Endocrinol
                EJE
                European Journal of Endocrinology
                Bioscientifica Ltd (Bristol )
                0804-4643
                1479-683X
                03 June 2021
                01 August 2021
                : 185
                : 2
                : 279-288
                Affiliations
                [1 ]Finnish Institute for Health and Welfare , Population Health Unit, Oulu and Helsinki, Finland
                [2 ]PEDEGO Research Unit (Research Unit for Pediatrics , Dermatology, Clinical Genetics, Obstetrics, and Gynecology), Medical Research Center Oulu (MRC Oulu), Oulu University Hospital and University of Oulu, Oulu, Finland
                [3 ]Children’s Hospital , Helsinki University Hospital and University of Helsinki, Helsinki, Finland
                [4 ]Research Center for Child Psychiatry , University of Turku, Turku, Finland
                [5 ]INVEST Research Flagship , University of Turku, Turku, Finland
                [6 ]Folkhälsan Research Center , Helsinki, Finland
                [7 ]Department of General Practice and Primary Care , University of Helsinki and Helsinki University Hospital, Helsinki, Finland
                [8 ]Department of Obstetrics and Gynecology , National University of Singapore, Yong Loo Lin School of Medicine, Singapore, Singapore
                [9 ]Singapore Institute for Clinical Sciences , Agency for Science, Technology, and Research, Singapore, Singapore
                [10 ]Imperial College , London, UK
                [11 ]Department of Clinical and Molecular Medicine , Norwegian University of Science and Technology, Trondheim, Norway
                Author notes
                Correspondence should be addressed to M Paalanne; Email: marika.paalanne@ 123456ppshp.fi
                Author information
                http://orcid.org/0000-0003-1626-9410
                Article
                EJE-20-1462
                10.1530/EJE-20-1462
                8284903
                34081616
                6ee96869-922c-43fb-8965-26d9d75b2877
                © The authors

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 21 December 2020
                : 03 June 2021
                Categories
                Clinical Study

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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