Uccella S, Cromi A, Colombo G F, Bogani G, Casarin J, Agosti M, Ghezzi F
Department of Obstetrics and Gynaecology, University of Insubria, Del Ponte Hospital , Varese , Italy.
J Obstet Gynaecol. 2015 Apr;35(3):241-5. doi: 10.3109/01443615.2014.958144. Epub 2014 Sep 25.
Our aim was to investigate the accuracy in predicting intrapartum fetal acidaemia and the interobserver reproducibility of a mathematical algorithm for the interpretation of electronic fetal heart rate (FHR) monitoring throughout labour. Eight physicians (blinded to the clinical outcomes of the deliveries) evaluated four randomly selected intrapartum FHR tracings by common visual interpretation, trying to predict umbilical artery base excess at birth. They subsequently were asked to re-evaluate the tracings using a mathematical algorithm for FHR tracing interpretation. Common visual interpretation allowed a correct estimation of the umbilical artery base excess in 34.4% of cases, with a poor interobserver reproducibility (Kappa correlation coefficient = 0.24). After implementation of the algorithm, the proportion of correct estimates significantly increased to 90.6% (p < 0.001), with excellent inter-clinician agreement (κ: 0.85). To conclude, incorporation of a standardised algorithm reduces the interobserver variability and allows a better estimation of fetal acidaemia at birth.
我们的目的是研究一种用于解读整个分娩过程中电子胎儿心率(FHR)监测的数学算法在预测产时胎儿酸中毒方面的准确性以及观察者间的可重复性。八位医生(对分娩的临床结果不知情)通过常规视觉解读对随机选择的四份产时FHR描记图进行评估,试图预测出生时脐动脉碱剩余。随后,要求他们使用一种用于FHR描记图解读的数学算法重新评估这些描记图。常规视觉解读在34.4%的病例中能够正确估计脐动脉碱剩余,观察者间的可重复性较差(Kappa相关系数 = 0.24)。实施该算法后,正确估计的比例显著提高到90.6%(p < 0.001),临床医生间的一致性极佳(κ:0.85)。总之,纳入标准化算法可减少观察者间的变异性,并能更好地估计出生时的胎儿酸中毒情况。