Doherty Dorota A, James Ian R, Newnham John P
Department of Mathematics and Statistics, Murdoch University, Murdoch WA, Australia.
Ultrasound Med Biol. 2002 Oct;28(10):1261-70. doi: 10.1016/s0301-5629(02)00574-4.
Blood flow variables obtained via Doppler ultrasound (US) waveform estimation have been investigated for prediction of fetal distress. The umbilical flow was assessed using a number of waveform summary statistics in addition to the currently used resistance indices. We examined the relationship between umbilical artery waveform patterns and intrauterine growth restriction, preterm delivery and hypertensive disorders. To enhance prediction, we defined waveform skewness profiles based on pivotal points of the umbilical waveform that appeared to be related to the incidence of preterm delivery and that facilitated construction of IUGR prediction models. The data comprised 204 unselected pregnancies with the umbilical artery images recorded at 18 pregnancy weeks. The sample was divided into 114 pregnancies used to estimate model parameters and 90 pregnancies to validate the model. Logistic prediction models for detection of abnormal velocity waveforms associated with intrauterine growth restriction were derived, based on the waveform information. The estimated model sensitivity and specificity on the training data were 74% and 84%, respectively. Validation of the model on independent data yielded a sensitivity of 57% and specificity of 84%. The logistic IUGR prediction model appears to have significant predictive ability and potential for clinical use, even at this early gestational age. Our data suggest that prediction of IUGR at 18 pregnancy weeks can be much improved when the waveform shape is captured with a number of summary statistics in addition to resistance indices.
通过多普勒超声(US)波形估计获得的血流变量已被研究用于预测胎儿窘迫。除了目前使用的阻力指数外,还使用了一些波形汇总统计量来评估脐血流。我们研究了脐动脉波形模式与宫内生长受限、早产和高血压疾病之间的关系。为了提高预测能力,我们根据脐动脉波形的关键点定义了波形偏度轮廓,这些关键点似乎与早产发生率相关,并且有助于构建宫内生长受限预测模型。数据包括204例未经选择的妊娠,在妊娠18周时记录了脐动脉图像。样本分为114例用于估计模型参数的妊娠和90例用于验证模型的妊娠。基于波形信息,推导了用于检测与宫内生长受限相关的异常速度波形的逻辑预测模型。训练数据上估计的模型敏感性和特异性分别为74%和84%。在独立数据上对模型进行验证,得到的敏感性为57%,特异性为84%。即使在这个妊娠早期,逻辑宫内生长受限预测模型似乎也具有显著的预测能力和临床应用潜力。我们的数据表明,除了阻力指数外,使用一些汇总统计量来捕捉波形形状时,妊娠18周时宫内生长受限的预测可以得到很大改善。