Trojner Bregar Andreja, Lucovnik Miha, Verdenik Ivan, Jager Franc, Gersak Ksenija, Garfield Robert E
Department of Perinatology, Division of Obstetrics and Gynecology, University Medical Center Ljubljana, Ljubljana, Slovenia.
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Acta Obstet Gynecol Scand. 2016 Feb;95(2):197-202. doi: 10.1111/aogs.12818. Epub 2015 Dec 8.
In a prospective study in a tertiary university hospital we wanted to determine whether uterine electromyography (EMG) can differentiate between the active and latent phase of labor.
Thirty women presenting at ≥37(0/7) weeks of gestation with regular uterine contractions, intact membranes, and a Bishop score <6. EMG was recorded from the abdominal surface for 30 min. Latent phase was defined as no cervical change within at least 4 h. Student's t-test was used for statistical analysis (p ≤ 0.05 significant). Diagnostic accuracy of EMG was determined by receiver operator characteristics (ROC) analysis. The integral of the amplitudes of the power density spectrum (PDS) corresponding to the PDS energy within the "bursts" of uterine EMG activity was compared between the active and latent labor groups.
Seventeen (57%) women were found to be in the active phase of labor and 13 (43%) were in the latent phase. The EMG PDS integral was significantly higher (p = 0.02) in the active (mean 3.40 ± 0.82 μV) compared with the latent (mean 1.17 ± 0.33 μV) phase of labor. The PDS integral had an area under the ROC curve (AUC) of 0.80 to distinguish between active and latent phases of labor, compared with number of contractions on tocodynamometry (AUC = 0.79), and Bishop score (AUC = 0.78). The combination (sum) of PDS integral, tocodynamometry, and Bishop score predicted active phase of labor with an AUC of 0.90.
Adding uterine EMG measurements to the methods currently used in the clinics could improve the accuracy of diagnosing active labor.
在一所三级大学医院进行的一项前瞻性研究中,我们想要确定子宫肌电图(EMG)能否区分产程的活跃期和潜伏期。
30名妊娠≥37(0/7)周、有规律子宫收缩、胎膜完整且Bishop评分<6分的女性。从腹部表面记录肌电图30分钟。潜伏期定义为至少4小时内宫颈无变化。采用学生t检验进行统计分析(p≤0.05为有统计学意义)。通过受试者工作特征(ROC)分析确定肌电图的诊断准确性。比较活跃期和潜伏期分娩组子宫肌电活动“爆发”内对应功率密度谱(PDS)能量的功率密度谱(PDS)振幅积分。
17名(57%)女性处于产程活跃期,13名(43%)处于潜伏期。与潜伏期(平均1.17±0.33μV)相比,活跃期(平均3.40±0.82μV)的肌电图PDS积分显著更高(p = 0.02)。PDS积分的ROC曲线下面积(AUC)为0.80,用于区分产程的活跃期和潜伏期,相比之下,宫缩图上的宫缩次数(AUC = 0.79)和Bishop评分(AUC = 0.78)。PDS积分、宫缩图和Bishop评分的组合(总和)预测产程活跃期的AUC为0.90。
在目前临床使用的方法中增加子宫肌电图测量可以提高诊断活跃产程的准确性。