Placenta accreta spectrum disorder trends in the context of the universal two-child policy in China and the risk of hysterectomy

Int J Gynaecol Obstet. 2018 Mar;140(3):312-318. doi: 10.1002/ijgo.12418. Epub 2018 Jan 16.

Abstract

Objective: To identify both the trends in placenta accreta spectrum (PAS) disorders in the context of the universal two-child policy in China and risk factors for hysterectomy.

Methods: The present retrospective analysis included confirmed PAS disorders during cesarean delivery at a tertiary hospital in Changsha, Hunan, China, from January 1, 2007, to December 31, 2016. Multivariable logistic regression was used to estimate the risk of hysterectomy.

Results: During the 10-year study period, the overall incidence of cesarean delivery was 51.6% (13 530/26 214) and that of PAS disorders was 1.2% (302/26 214). The PAS rate increased from 0.1% (5/4617) in 2007-2008 to 2.1% (133/6351) in 2015-2016, alongside a rise in elective repeat cesarean delivery from 5.0% (106/2124) to 38.4% (1385/3603). Previous cesarean delivery greatly increased the likelihood of PAS disorders (odds ratio [OR] 97.4; P<0.001). Invasive depth (OR 92.0; P<0.001), inter-cesarean interval less than 36 months (OR 7.0; P=0.002), rural residence (OR 5.3; P=0.018), and advanced maternal age (OR 3.0; P=0.045) were independent risk factors for hysterectomy among women with PAS disorders.

Conclusion: The increasing incidence of elective repeat cesarean delivery combined with a high overall rate of cesarean delivery implies a high prevalence of PAS disorders within the context of the universal two-child policy in China. The main predictor of hysterectomy was invasive depth.

Keywords: Cesarean delivery; Hysterectomy; Placenta accreta spectrum; Risk; Two-child policy.

MeSH terms

  • Adult
  • Cesarean Section, Repeat / statistics & numerical data
  • China / epidemiology
  • Female
  • Health Policy*
  • Humans
  • Hysterectomy / statistics & numerical data*
  • Maternal Age
  • Placenta Accreta / epidemiology
  • Placenta Accreta / surgery*
  • Pregnancy
  • Retrospective Studies
  • Risk Factors
  • Rural Population / statistics & numerical data