title: Estimation of high risk pregnancy contributing to perinatal morbidity and mortality from a birth population-based regional survey in 2010 in China.
abstract: BACKGROUND
  Neonatal mortality reduction in China over past two decades was reported from nationwide sampling surveys, however, how high risk pregnancy affected neonatal outcome is unknown. The objective of this study was to explore relations of pregnancy complications and neonatal outcomes from a regional birth population.
  
  
  METHODS
  In a prospective, cross-sectional survey of complete birth population-based data file from 151 level I-III hospitals in Huai'an region in 2010, pregnancy complications were analyzed for perinatal morbidity and mortality in association with maternal and perinatal characteristics, hospital levels, mode of delivery, newborn birth weight and gestational age, using international definition for birth registry and morbidities.
  
  
  RESULTS
  Pregnancy complications were found in 10% of all births, in which more than 70% were delivered at level II and III hospitals associated with higher proportions of fetal and neonatal death, preterm birth, death at delivery and congenital anomalies. High Cesarean section delivery was associated with higher pregnancy complications, and more neonatal critical illnesses. The pregnancy complications related perinatal morbidity and mortality in level III were 2-4 times as high as in level I and II hospitals. By uni- and multi-variate regression analysis, impact of pregnancy complications was along with congenital anomalies and preterm birth, and maternal child-bearing age and school education years contributing to the prevalence.
  
  
  CONCLUSIONS
  This survey revealed variable links of pregnancy complications to perinatal outcome in association with very high Cesarean section deliveries, which warrants investigation for causal relations between high risk pregnancy and neonatal outcome in this emerging region.
authors.forename: Libo
authors.initials: L
authors.lastname: Sun
authors.forename: Hongni
authors.initials: H
authors.lastname: Yue
authors.affiliation: Departments of Pediatrics and Neonatology, Children's Hospital and the Institutes of Biomedical Science, Fudan University, and the Laboratory of Neonatal Medicine, National Health and Family Planning Commission, Shanghai 201102, China. bsun98@aliyun.com.
authors.forename: Bo
authors.initials: B
authors.lastname: Sun
authors.forename: Liangrong
authors.initials: L
authors.lastname: Han
authors.forename: Zhaofang
authors.initials: Z
authors.lastname: Tian
authors.forename: Meihua
authors.initials: M
authors.lastname: Qi
authors.forename: Shuyan
authors.initials: S
authors.lastname: Lu
authors.forename: Chunming
authors.initials: C
authors.lastname: Shan
authors.forename: Jianxin
authors.initials: J
authors.lastname: Luo
authors.forename: Yujing
authors.initials: Y
authors.lastname: Fan
authors.forename: Shouzhong
authors.initials: S
authors.lastname: Li
authors.forename: Maotian
authors.initials: M
authors.lastname: Dong
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Zuo
authors.forename: Yixing
authors.initials: Y
authors.lastname: Zhang
authors.forename: Wenlong
authors.initials: W
authors.lastname: Lin
authors.forename: Jinzhong
authors.initials: J
authors.lastname: Xu
authors.forename: Yongbo
authors.initials: Y
authors.lastname: Heng
mesh_terms: D000704:Analysis of Variance; D002423:Cause of Death; D002585:Cesarean Section / Q000706:statistics & numerical data; D002681:China; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D015994:Incidence; D007231:Infant, Newborn; D007235:Infant, Premature, Diseases / Q000175:diagnosis / Q000401:mortality*; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D054238:Perinatal Mortality / Q000639:trends*; D011247:Pregnancy; D011248:Pregnancy Complications / Q000175:diagnosis / Q000453:epidemiology*; D018566:Pregnancy, High-Risk; D047928:Premature Birth; D011446:Prospective Studies; D012044:Regression Analysis