Department of Obstetrics and Gynecology, Marien Hospital Witten, Teaching Hospital of the Ruhr University Bochum, Witten/Herdecke University, Marienplatz 2, Witten, Germany.
Gynecol Obstet Invest. 2011;72(3):169-73. doi: 10.1159/000327133. Epub 2011 Sep 14.
To evaluate and compare the computer analyzing software system with subjective interpretation using the FIGO classification of intrapartum cardiotocograms.
Twenty-four obstetricians and 19 midwives from 3 hospitals [19 junior (≤3 years) and 24 senior (>3 years) experience] participated in this study. Forty-three doctors and midwives interpreted intrapartum cardiotocographic (CTG) readings from 12 parturients without knowing the clinical outcome. Two CTG readings were repeated for evaluation of the intraobserver variability. Inter- and intraobserver agreement in CTG interpretation using the FIGO score and the computer analyzing software was assessed via proportions of agreement (Pa), with 95% confidence intervals. The level of inter- and intraobserver agreement was analyzed by calculating Pa values for CTG baseline, variability, accelerations and decelerations.
In total, for all parameters of the FIGO classification, Pa was very low. The highest 95% confidence level of Pa was found for the baseline parameter (0.49-1.01), and the lowest for the parameter acceleration. No significant difference was seen between obstetricians and midwives as well as between junior and senior experience. In assessments of normal cases, the Pa were significantly higher than in pathological readings.
Computer analyzing software can reduce the high inter- and intraobserver variability; however, further studies are needed to find out whether this can improve fetal outcome and reduce the number of Cesarean sections.
评估并比较使用 FIGO 分类法对产时胎心监护图进行主观解读与计算机分析软件系统的效果。
本研究纳入了来自 3 家医院的 24 名产科医生和 19 名助产士(19 名初级医生(≤3 年经验)和 24 名高级医生(>3 年经验))。43 名医生和助产士对 12 名产妇的产时胎心监护图进行了解读,他们在不知道临床结局的情况下进行了解读。对 2 次 CTG 读数进行了重复,以评估观察者内变异性。通过一致性比例(Pa)评估 FIGO 评分和计算机分析软件对 CTG 解读的观察者间和观察者内一致性,置信区间为 95%。通过计算 CTG 基线、变异性、加速和减速的 Pa 值来分析观察者间和观察者内的一致性水平。
在 FIGO 分类的所有参数中,Pa 均非常低。Pa 的最高 95%置信水平见于基线参数(0.49-1.01),而最低的则见于加速参数。产科医生和助产士之间以及初级和高级经验之间没有显著差异。在正常病例的评估中,Pa 明显高于病理读数。
计算机分析软件可以降低观察者间和观察者内的高变异性;然而,还需要进一步的研究来确定这是否可以改善胎儿结局并减少剖宫产的数量。