Yongqing Zhang1, Luping Chen1, Menglin Zhou1, Yuan Li1, Jie Luo1, Zhengyun Chen2. 1. Department of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China. 2. Department of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China. Electronic address: chenzy1290@zju.edu.cn.
Abstract
OBJECTIVES: To investigate the risk factors of persistent cesarean scar pregnancy (PCSP) after dilation and curettage (D&C). MATERIALS AND METHODS: A retrospective, age-matched case-control study including 45 cases of PCSP patients after D&C was conducted between January 2013 and April 2018. For each case, 4 women who had been diagnosed with CSP and had the same age and same hospitalization period as the case group but no residual CSP tissue after D&C were selected as the controls (Control group, n = 180). Conditional logistic regression analysis was used to assess the risk factors of PCSP after D&C. RESULTS: After conditional logistic regression, the 3 factors associated with PCSP after D&C were maximum diameter of CSP mass (or gestational sac) ≥4.5 cm (adjusted odds ratio [aOR] 6.51, 95% CI 1.39-30.47), myometrial thickness at the implantation site <2 mm (aOR 3.58, 95% CI 1.37-9.38) and a ≤66.42% decrease rate in β-hCG levels on the first day after D&C (aOR 18.58, 95% CI 5.80-59.57). ROC analysis showed that the indicator [(hCG0-hCG1)/hCG0*100%] has a good predictive value for PCSP, and the area under the curve (AUC) is 0.745; when the cut-off value is equal to 66.42%, the indicator has the best predictive value, with a sensitivity of 82.2% and a specificity of 67.7%. CONCLUSIONS: For these high-risk patients with PCSP, choosing individualized treatment options and proper management could reduce the incidence of PCSP.
OBJECTIVES: To investigate the risk factors of persistent cesarean scar pregnancy (PCSP) after dilation and curettage (D&C). MATERIALS AND METHODS: A retrospective, age-matched case-control study including 45 cases of PCSP patients after D&C was conducted between January 2013 and April 2018. For each case, 4 women who had been diagnosed with CSP and had the same age and same hospitalization period as the case group but no residual CSP tissue after D&C were selected as the controls (Control group, n = 180). Conditional logistic regression analysis was used to assess the risk factors of PCSP after D&C. RESULTS: After conditional logistic regression, the 3 factors associated with PCSP after D&C were maximum diameter of CSP mass (or gestational sac) ≥4.5 cm (adjusted odds ratio [aOR] 6.51, 95% CI 1.39-30.47), myometrial thickness at the implantation site <2 mm (aOR 3.58, 95% CI 1.37-9.38) and a ≤66.42% decrease rate in β-hCG levels on the first day after D&C (aOR 18.58, 95% CI 5.80-59.57). ROC analysis showed that the indicator [(hCG0-hCG1)/hCG0*100%] has a good predictive value for PCSP, and the area under the curve (AUC) is 0.745; when the cut-off value is equal to 66.42%, the indicator has the best predictive value, with a sensitivity of 82.2% and a specificity of 67.7%. CONCLUSIONS: For these high-risk patients with PCSP, choosing individualized treatment options and proper management could reduce the incidence of PCSP.