Spencer Kevin, Bindra Renu, Nicolaides Kypros H
Clinical Biochemistry Department, Harold Wood Hospital, Gubbins Lane, Romford, Essex, UK.
Prenat Diagn. 2003 Oct;23(10):851-5. doi: 10.1002/pd.708.
To assess the suitability of either the log-linear or reciprocal-linear regression procedure for maternal weight correction of biochemical marker MoMs in the first trimester.
Data from two prospective first-trimester OSCAR screening programmes including 32,010 women with first-trimester maternal serum-free beta-hCG and PAPP-A measured by the Kryptor analyser was analysed by regression analysis to provide parameters for the log-linear and reciprocal-linear MoM correction procedures. Assessment was made by goodness of fit to the data. The impact on detection rate and false-positive rate of the different correction procedures was assessed using statistical modelling with biochemical markers alone.
Both log-linear and reciprocal-linear correction were shown to fit the data well. For free beta-hCG, the log-linear procedure was marginally superior to the reciprocal-linear procedure (r2=0.986 v 0.980), whilst for PAPP-A the reciprocal-linear procedure was marginally better (r2=0.991 v 0.985). Log-linear correction reduced the variance for both markers more than did the reciprocal-linear procedure. For free beta-hCG, the sd was reduced from 0.2675 to 0.2605 and for PAPP-A, it was reduced from 0.2545 to 0.2336. Correcting for maternal weight was shown to reduce the population false-positive rate from 7.0 to 6.5%, whilst maintaining the same detection rate at a risk cut-off of 1 in a 100. At individual levels, a two-fold variation in risk was demonstrated depending upon the individual's weight.
To provide accurate individual patient-specific risks for trisomy 21, maternal weight must be taken into account and should be a mandatory data item for screening programmes. Maternal weight correction in the first trimester using free beta-hCG and PAPP-A can be best achieved using the log-linear procedure.
评估对数线性回归或倒数线性回归程序用于孕早期生化标志物中位数倍数(MoM)的母体体重校正的适用性。
对两项前瞻性孕早期OSCAR筛查项目的数据进行分析,这些项目包括32010名妇女,其孕早期母体血清游离β-人绒毛膜促性腺激素(β-hCG)和妊娠相关血浆蛋白A(PAPP-A)由Kryptor分析仪测定,通过回归分析为对数线性和倒数线性MoM校正程序提供参数。通过对数据的拟合优度进行评估。仅使用生化标志物,通过统计建模评估不同校正程序对检出率和假阳性率的影响。
对数线性校正和倒数线性校正均显示出对数据的良好拟合。对于游离β-hCG,对数线性程序略优于倒数线性程序(r2 = 0.986对0.980),而对于PAPP-A,倒数线性程序略好(r2 = 0.991对0.985)。对数线性校正比倒数线性程序更能降低两种标志物的方差。对于游离β-hCG,标准差从0.2675降至0.2605,对于PAPP-A,从0.2545降至0.2336。校正母体体重可使人群假阳性率从7.0%降至6.5%,同时在1/100的风险截断值下保持相同的检出率。在个体水平上,根据个体体重显示风险有两倍的差异。
为了提供准确的个体患者特异性21三体风险,必须考虑母体体重,并且它应该是筛查项目的强制性数据项。使用游离β-hCG和PAPP-A在孕早期进行母体体重校正,采用对数线性程序可达到最佳效果。