Affiliation:
1. Department of Obstetrics and Gynecology Peking University Third Hospital Beijing China
2. National Centre for Healthcare Quality Management in Obsterics Beijing China
3. Department of Obstetrics Maternal and Child Health Hospital of Changzhi Changzhi China
4. Research Center of Clinical Epidemiology Peking University Third Hospital Beijing China
Abstract
AbstractObjectiveTo identify the risk factors for placenta accreta spectrum (PAS) disorders in women without prior cesarean section (CS).MethodsThis retrospective case–control study investigated patients without prior CS who gave birth at Peking University Third Hospital between January 1, 2015 and December 31, 2021. Patients diagnosed with PAS according to the clinical diagnostic criteria of the 2019 International Federation of Gynecology and Obstetrics (FIGO) classification were included as the study group. Patients were matched as the control group according to delivery date and placenta previa, in a 1:2 allocation ratio. Maternal characteristics were compared between the two groups.ResultsThe study included 348 patients in the study group and 696 in the control group. The multivariate analysis showed that the independent risk factors of PAS consisted of operative hysteroscopy (once: adjusted odds ratio [aOR] 2.38, 95% CI 1.28–4.24, P = 0.006; twice or more: aOR 5.43, 95% CI 1.04–28.32, P = 0.045), uterine curettage (once: aOR 2.54, 95% CI 1.80–3.58, P < 0.001; twice: aOR 3.01, 95% CI 1.81–5.02, P < 0.001; three or more times: aOR 9.18, 95% CI 4.64–18.18, P < 0.001), multifetal pregnancy (aOR 5.64, 95% CI 3.01–10.57, P < 0.001), adenomyosis (aOR 2.77, 95% CI 1.23–6.22, P = 0.014), in vitro fertilization (aOR 1.51, 95% CI 1.04–2.20, P = 0.030) and pre‐eclampsia (aOR 2.72, 95% CI 1.36–5.45, P = 0.005), and the independent protective factor was being multiparous (aOR 0.37, 95% CI 0.25–0.54, P < 0.001).ConclusionAfter controlling the effect of placenta previa, we found that patients with PAS without prior CS had unique maternal characteristics. Classification and quantification of the intrauterine surgeries they have undergone is essential for identifying high‐risk patients. Early identification of high‐risk groups by risk factors has the potential to improve the prognosis considerably.
Funder
National Key Research and Development Program of China
Natural Science Foundation of Beijing Municipality