Previsão de gravidez pós‐fertilização in vitro de acordo com valor de β‐hCG e progesterona

José Luis Metello, Claudia Tomás, Pedro Ferreira, Sandra Ramos, Vanessa Lisboa, Pedro Sá Melo
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Abstract

Introduction

Multiple studies suggest that the amount of β‐hCG and progesterone can be good predictors of pregnancy.

Objective

To investigate the potential of β‐hCG and progesterone values in predicting evolutive pregnancy and twin pregnancy, 14 days after oocyte puncture in IVF/ICSI cycles, establishing a predictive model.

Methods

A retrospective study of cycles with the use of a puncture and fresh embryo transfer between May/2011 and September/2015. The defined groups were: with no pregnancy; without evolutive pregnancy; and with evolutive (single or twin) pregnancy. Statistical analysis considered α = 5%. To assess the ability to predict evolutive pregnancy and twin pregnancy, a multivariate analysis model was carried out, with the use of a binary logistic regression process. ROC curves were used to evaluate the ability of β‐hCG and progesterone values in differentiating between non‐evolutive and evolutive pregnancy.

Results

149 cases were found: no pregnancy 11.4%, without evolutive pregnancy 24.8%, with evolutive pregnancy 63.8% (83 single, 12 twins). Excluding progesterone and β‐hCG values, there were no statistically significant differences between the variables of non‐evolutive and evolutive pregnancy groups (β‐HCG: 38.9 vs. 159 IU/L, progesterone: 20.4 vs. 60 ng/mL). In a comparison between single and twin pregnancies, only the amount of β‐hCG was statistically significant (β‐HCG: 147 vs. 331 IU/L). When progesterone value is >25, the probability of pregnancy is 5.4 times greater (95% CI, 1.18‐24.8). In a logistic regression for twin pregnancies, only β‐hCG value was statistically significant.

Conclusion

A single assessment of progesterone and β‐hCG values 14 days after the puncture has a good predictive value of evolutive pregnancy, but with limited ability to discriminate between single and twin pregnancies.

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根据β - hCG和孕酮值预测体外受精后妊娠
多项研究表明,β - hCG和黄体酮的量可以很好地预测妊娠。目的探讨体外受精/ICSI周期中卵母细胞穿刺后14天β - hCG和孕酮水平对进化妊娠和双胎妊娠的预测价值,建立预测模型。方法回顾性分析2011年5月至2015年9月穿刺新鲜胚胎移植的周期。定义的群体是:没有怀孕;没有进化妊娠;进化妊娠(单胎或双胎)。统计分析认为α = 5%。为了评估预测进化妊娠和双胎妊娠的能力,使用二元逻辑回归过程进行了多变量分析模型。ROC曲线用于评估β - hCG和孕酮值在区分非进化妊娠和进化妊娠中的能力。结果149例:未妊娠11.4%,未进化妊娠24.8%,进化妊娠63.8%(单胎83例,双胎12例)。排除孕酮和β - hCG值,非进化妊娠组和进化妊娠组之间的变量无统计学差异(β - hCG: 38.9 vs. 159 IU/L,孕酮:20.4 vs. 60 ng/mL)。在单胎和双胎妊娠的比较中,只有β - hCG的含量有统计学意义(β - hCG: 147 vs 331 IU/L)。当孕酮值为25时,怀孕的概率是5.4倍(95% CI, 1.18‐24.8)。在双胎妊娠的逻辑回归中,只有β - hCG值具有统计学意义。结论穿刺后14天单次评估孕酮和β - hCG值对进化妊娠有较好的预测价值,但区分单胎和双胎妊娠的能力有限。
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