Hörmansdörfer C, Schmidt P, Hillemanns P, Scharf A
Frauenklinik der Medizinischen Hochschule Hannover.
Z Geburtshilfe Neonatol. 2007 Dec;211(6):243-9. doi: 10.1055/s-2007-981361.
As a defined basic risk, the maternal background risk represents the most important influencing factor in the First Trimester Screening according to Nicolaides. However, the generated risk estimations often deviate from the observed clinical-practical values. The aims of this study were to perform a test performance analysis of the first trimester screening according to Nicolaides and its comparison with the novel "Advanced First Trimester Screening (AFS)" algorithm, which explicitly excludes the maternal background risk.
At the Medical University of Hannover 2 743 pregnancies at 11 + 0 to 13 + 6 weeks of gestation underwent a combined ultrasonographic and biochemical First Trimester Screening. In a prospective approach, the risk calculation according to Nicolaides was performed with both the classic and the specific algorithm of the "ViewPoint-PIA Fetal database (PIA)" software. The risk calculation with the AFS algorithm was carried out in a retrospective approach.
The observed study population included seven cases of trisomy 21, two cases of trisomy 18, and one case of trisomy 13. Both the PIA and the AFS algorithm reached a sensitivity of 80 %, a false negative rate of 20 %, and a negative prediction value of 99.9 %. However, with a specificity of 97.01 %, a false positive rate of 2.99 %, and a positive prediction value of 11.76 % the AFS algorithm showed a better test performance than the PIA algorithm (96.06 %, 3.94 %, and 9.20 % respectively).
The calculation with AFS generated more precise risk estimations for trisomy 13, 18, and 21. An examination in large, prospective studies may be recommended to consider an introduction of this novel test strategy.
作为一种明确的基础风险,孕产妇背景风险是 Nicolaides 提出的孕早期筛查中最重要的影响因素。然而,生成的风险估计值往往偏离观察到的临床实际值。本研究的目的是对 Nicolaides 提出的孕早期筛查进行检测性能分析,并将其与明确排除孕产妇背景风险的新型“高级孕早期筛查(AFS)”算法进行比较。
在汉诺威医学院,对 2743 例妊娠 11 + 0 至 13 + 6 周的孕妇进行了超声和生化联合孕早期筛查。采用前瞻性方法,使用“ViewPoint-PIA 胎儿数据库(PIA)”软件的经典算法和特定算法根据 Nicolaides 进行风险计算。采用回顾性方法使用 AFS 算法进行风险计算。
观察到的研究人群包括 7 例 21 三体、2 例 18 三体和 1 例 13 三体。PIA 算法和 AFS 算法的灵敏度均达到 80%,假阴性率为 20%,阴性预测值为 99.9%。然而,AFS 算法的特异性为 97.01%,假阳性率为 2.99%,阳性预测值为 11.76%,其检测性能优于 PIA 算法(分别为 96.06%、3.94%和 9.20%)。
使用 AFS 进行计算可为 13、18 和 21 三体生成更精确的风险估计值。可能建议在大型前瞻性研究中进行检验,以考虑引入这种新型检测策略。