| 贾冬丽,方丽丽,司晓辉.血清血小板衍生生长因子-B、胎盘生长因子和可溶性Fms样酪氨酸激酶1水平检测在预测子痫前期发生中的意义[J].安徽医药,2018,22(4):685-688. |
| 血清血小板衍生生长因子-B、胎盘生长因子和可溶性Fms样酪氨酸激酶1水平检测在预测子痫前期发生中的意义 |
| Significances of serum levels of PDGF-BB,PIGF and sFlt-1 in predicting preeclampsia |
| 投稿时间：2016-12-05 |
| DOI： |
| 中文关键词: 子痫前期 血小板衍生生长因子-B 胎盘生长因子 可溶性Fms样酪氨酸激酶1 预测 |
| 英文关键词: preeclampsia platelet-derived growth factor-B placental growth factor soluble Fms like tyrosine kinase 1 prediction |
| 基金项目:吴阶平医学基金(320.6750.14109) 血清血小板衍生生长因子-B、胎盘生长因子和可溶性Fms样酪氨酸激酶1水平检测在预测子痫前期发生中的意义贾冬丽1,方丽丽1,司晓辉2 (1.漯河市中心医院,河南 漯河 462000；2.焦作煤业集团中央医院,河南 焦作 454150)血清血小板衍生生长因子-B、胎盘生长因子和可溶性Fms样酪氨酸激酶1水平检测 在预测子痫前期发生中的意义贾冬丽1,方丽丽1,司晓辉2 Significances of serum levels of PDGF-BB,PIGF and sFlt-1 in predicting preeclampsia JIA Dongli1,FANG Lili1,SI Xiaohui2 |
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| 中文摘要: |
| 目的 探讨血清血小板衍生生长因子-B(PDGF-BB)、胎盘生长因子(PIGF)和可溶性Fms样酪氨酸激酶1(sFlt-1)水平检测在预测子痫前期发生中的意义。方法 选取138例子痫前期患者,根据病情分为轻度组(n=75)和重度组(n=63),同期选取健康孕妇58例作为对照组,收集临床资料,检测血清PDGF-BB、PIGF和sFlt-1水平,利用受试者工作特征曲线(ROC曲线)和二元Logistic回归模型对血清PDGF-BB、PIGF和sFlt-1水平在预测子痫前期发生中的价值进行分析。结果 重度组患者血清PDGF-BB、sFlt-1和sFlt-1/PIGF比值均高于轻度组和对照组,且轻度组均高于对照组,重度组患者血清PIGF水平低于轻度组和对照组,且轻度组低于对照组,均差异有统计学意义(P<0.05)；ROC曲线分析显示,血清PDGF-BB水平在预测子痫前期发生中曲线下面积0.845(95%CI:0.791～0.899),取截点值71.50 ng·L-1时,灵敏度72.5%,特异度91.4%；血清PIGF水平在预测子痫前期发生中曲线下面积0.844(95%CI:0.777～0.911),取截点值1.56 μg·L-1时,灵敏度67.2%,特异度94.2%；血清sFlt-1水平在预测子痫前期发生中曲线下面积0.844(95%CI:0.789～0.900),取截点值25.53 μg·L-1时,灵敏度67.4%,特异度86.2%；sFlt-1/PIGF比值在预测子痫前期发生中曲线下面积0.918(95%CI:0.880～0.956),取截点值16.32,灵敏度80.4%,特异度100.0%；血清PDGF-BB和sFlt-1/PIGF比值联合时,曲线下面积0.948(95%CI:0.919～0.977),灵敏度98.3%,特异度84.5%。结论 子痫前期患者血清PDGF-BB、sFlt-1水平和sFlt-1/PIGF比值升高,而PIGF水平降低,血清PDGF-BB水平联合sFlt-1/PIGF比值在预测子痫前期发病中具有较好的价值。 |
| 英文摘要: |
| Objective To investigate the significances of serum levels of platelet-derived growth factor-B(PDGF-BB),placental growth factor(PIGF) and soluble Fms like tyrosine kinase 1(sFlt-1) in predicting preeclampsia. Methods 138 cases of patients with preeclampsia were selected,according to the disease.The patients were divided into mild group(n=75) and severe group(n=63).In the same period,58 normal pregnant women were selected as the control group.The clinical data were collected.Serum levels of PDGF-BB,PIGF and sFlt-1 were measured.The values of serum levels of PDGF-BB,PIGF and sFlt-1 in predicting of preeclampsia were analyzed by using the receiver operating characteristic curve(ROC curve) and the binary logistic regression model. Results The serum levels of PDGF-BB,sFlt-1 and the sFlt-1/PIGF ratio in the severe group were higher than the mild group and control group,and the mild group were higher than the control group.The serum level of PIGF in the severe group was lower than the mild group and control group,and the mild group was lower than the control group,with statistically significant differences(P<0.05).ROC curve analysis showed that,when the serum level of PDGF-BB in predicting preeclampsia,the area under the curve was 0.845(95%CI:0.791-0.899),the cutoff value was 71.50 ng·L-1,the sensitivity was 72.5%,the specificity was 91.4%.When the serum level of PIGF in predicting preeclampsia,the area under the curve was 0.844(95%CI:0.777-0.911),the cutoff value was 1.56 μg·L-1,the sensitivity was 67.2%,the specificity was 94.2%.Whenthe serum level of sFlt-1 in predicting preeclampsia,the area under the curve was 0.844(95%CI:0.789-0.900),when the cutoff value was 25.53 μg·L-1,the sensitivity was 67.4%,the specificity was 86.2%.When the sFlt-1/PIGF ratio in predicting preeclampsia,the area under the curve was 0.918(95%CI:0.880-0.956),the cutoff value was 16.32,the sensitivity was 80.4%,the specificity was 100.0%.The serum level of PDGF-BB combined with sFlt-1/PIGF ratio in predicting preeclampsia,the area under the curve was 0.948(95%CI:0.919-0.977),the sensitivity was 98.3%,the specificity was 84.5%. Conclusions The serum levels of PDGF-BB and sFlt-1 and the sFlt-1/PIGF ratio in patients with preeclampsia areincreased,while the serum level of PIGF isdecreased.The serum level of PDGF-BB combined with sFlt-1/PIGF ratio in predicting of preeclampsia is witha good value in predicting. |
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