title: Metabolic syndrome in the non-pregnant state is associated with the development of preeclampsia.
abstract: BACKGROUND
  The aim of this study was to investigate the association between metabolic syndrome in the non-pregnant state and the development of preeclampsia.
  
  
  METHODS
  We enrolled 212,463 Korean women who had their first delivery between January, 2011 and December, 2012 and had undergone a national health screening examination through the National Health Insurance during the 1-2 years before their first delivery. Women who had hypertension in the non-pregnant state were excluded. The presence of metabolic syndrome was defined using the modified criteria published in National Cholesterol Education Program Adult Treatment Panel III criteria.
  
  
  RESULTS
  The prevalence of metabolic syndrome in non-pregnant state was 1.2%. Preeclampsia developed in 3.1% and its prevalence among women with and without metabolic syndrome was 7.3% and 3.0%, respectively. The pre-pregnancy prevalence of metabolic syndrome was higher in women who developed preeclampsia compared to that in those who had a normal pregnancy (1.1% vs. 2.8%; p<0.001). On multivariate regression analysis, women with metabolic syndrome had an increased risk of developing preeclampsia (odds ratio: 1.48; 95% CI: 1.26 to 1.74) compared to that in those without metabolic syndrome, after adjusting for age, family history of hypertension, smoking status, and pre-pregnancy body mass index. The risk of preeclampsia increased with a rise in the number of components of metabolic syndrome.
  
  
  CONCLUSIONS
  Metabolic syndrome in the non-pregnant state was associated with the development of preeclampsia. Further studies are needed to evaluate whether early intervention for metabolic syndrome before pregnancy can decrease the risk of developing preeclampsia.
authors.affiliation: Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Republic of Korea.
authors.forename: Geum Joon
authors.initials: GJ
authors.lastname: Cho
authors.affiliation: Big Data Steering Department, National Health Insurance Service, Seoul, Republic of Korea.
authors.forename: Jong Heon
authors.initials: JH
authors.lastname: Park
authors.affiliation: Big Data Steering Department, National Health Insurance Service, Seoul, Republic of Korea.
authors.forename: Soon-Ae
authors.initials: SA
authors.lastname: Shin
authors.affiliation: Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Republic of Korea. Electronic address: mjohmd@korea.ac.kr.
authors.forename: Min-Jeong
authors.initials: MJ
authors.lastname: Oh
authors.affiliation: Cardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, 145,Anam-ro, Seongbuk-gu, Seoul 136-701, Republic of Korea. Electronic address: mdhsseo@korea.ac.kr.
authors.forename: Hong Seog
authors.initials: HS
authors.lastname: Seo
mesh_terms: D000328:Adult; D001794:Blood Pressure / Q000502:physiology*; D015992:Body Mass Index; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D024821:Metabolic Syndrome / Q000150:complications* / Q000453:epidemiology; D016017:Odds Ratio; D011225:Pre-Eclampsia / Q000453:epidemiology / Q000209:etiology* / Q000503:physiopathology; D011247:Pregnancy; D015995:Prevalence; D056910:Republic of Korea / Q000453:epidemiology; D012189:Retrospective Studies; D012307:Risk Factors
keywords: Hypertension; Metabolic syndrome; Pre-pregnancy; Preeclampsia