妊娠早期和中期PP13和pap - a:子痫前期的预测因素?

ISRN obstetrics and gynecology Pub Date : 2012-01-01 Epub Date: 2012-06-18 DOI:10.5402/2012/263871
Narges Moslemi Zadeh, Farshad Naghshvar, Sepideh Peyvandi, Parand Gheshlaghi, Sara Ehetshami
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引用次数: 24

摘要

背景。子痫前期影响了5-6%的怀孕。先兆子痫的预测因素有助于本病的早期诊断。本研究评价生化指标胎盘蛋白13 (PP13)和妊娠相关血浆蛋白A (PAPP-A)在子痫前期诊断中的预测价值。方法。本病例对照研究对2010年至2011年期间到伊朗萨里一家医疗中心就诊的1500名妇女进行了研究。在妊娠11-13周和24-28周抽取血样。其中发生先兆子痫者为病例组。对照组由平均年龄、身体质量指数(BMI)和怀孕年龄相似的女性组成。测定血清中ppp - a、PP13水平。使用适当的统计检验对数据进行分析。结果。发生子痫前期的妇女在妊娠早期和妊娠中期血清中ppp - a和PP13水平均显著降低(P < 0.001)。4个变量的累积值截止点为238.5,敏感性为91.0%,特异度为0.968,对子痫前期最有诊断价值。结论。在妊娠早期和中期测量ppp - a和PP13,特别是它们在两个妊娠期的累积值,有可能用于预测子痫前期的发生率。
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PP13 and PAPP-A in the First and Second Trimesters: Predictive Factors for Preeclampsia?

Background. Preeclampsia affects 5-6% of all pregnancies. Predictive factors of preeclampsia can be helpful in early diagnosis of this disease. In this study the predictive values of biochemical markers placenta protein 13 (PP13) and pregnancy-associated plasma protein A (PAPP-A) have been assessed in early diagnosis of preeclampsia. Methods. This case-control study was conducted on 1500 women who presented to a healthcare center of Sari, Iran, between 2010 and 2011. Blood samples were drawn in weeks 11-13 and 24-28 of pregnancy. Of them who developed preeclampsia were considered as case group. A control group consisted of similar women regarding mean age, body mass index (BMI), and pregnancy age. PAPP-A and PP13 serum levels were measured. Data were analyzed using proper statistical tests. Results. PAPP-A and PP13 serum levels were significantly lower in both the first and second trimesters in women who developed preeclampsia (P < 0.001). The cumulative value of all four variables with cut-off point of 238.5 has sensitivity, specificity of 91.0%, and undercurve surface of 0.968 which is the most diagnostic value for preeclampsia. Conclusion. It is possible to advantage measuring of PAPP-A and PP13 in the first and second trimesters especially their cumulative values in both trimesters for prediction of the incidence of preeclampsia.

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