Scientific Reports (Mar 2024)

Risk factors for placenta accreta spectrum disorders in women with any prior cesarean and a placenta previa or low lying: a prospective population-based study

  • Gilles Kayem,
  • Aurélien Seco,
  • Francoise Vendittelli,
  • Catherine Crenn Hebert,
  • Corinne Dupont,
  • Bernard Branger,
  • Cyril Huissoud,
  • Jeanne Fresson,
  • Norbert Winer,
  • Bruno Langer,
  • Patrick Rozenberg,
  • Olivier Morel,
  • Marie Pierre Bonnet,
  • Franck Perrotin,
  • Elie Azria,
  • Lionel Carbillon,
  • Coralie Chiesa,
  • Pierre Raynal,
  • René Charles Rudigoz,
  • Sophie Patrier,
  • Gaël Beucher,
  • Michel Dreyfus,
  • Loïc Sentilhes,
  • Catherine Deneux-Tharaux

DOI
https://doi.org/10.1038/s41598-024-56964-9
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 8

Abstract

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Abstract This study aimed to identify the risk factors for placenta accreta spectrum (PAS) in women who had at least one previous cesarean delivery and a placenta previa or low-lying. The PACCRETA prospective population-based study took place in 12 regional perinatal networks from 2013 through 2015. All women with one or more prior cesareans and a placenta previa or low lying were included. Placenta accreta spectrum (PAS) was diagnosed at delivery according to standardized clinical and histological criteria. Of the 520,114 deliveries, 396 fulfilled inclusion criteria; 108 were classified with PAS at delivery. Combining the number of prior cesareans and the placental location yielded a rate ranging from 5% for one prior cesarean combined with a posterior low-lying placenta to 63% for three or more prior cesareans combined with placenta previa. The factors independently associated with PAS disorders were BMI ≥ 30, previous uterine surgery, previous postpartum hemorrhage, a higher number of prior cesareans, and a placenta previa. Finally, in this high-risk population, the rate of PAS disorders varies greatly, not only with the number of prior cesareans but also with the exact placental location and some of the women's individual characteristics. Risk stratification is thus possible in this population.