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经腹子宫肌电图预测足月和早产分娩

Predicting term and preterm delivery with transabdominal uterine electromyography.

作者信息

Maner William L, Garfield Robert E, Maul Holger, Olson Gayle, Saade George

机构信息

Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas 77555-1062, USA.

出版信息

Obstet Gynecol. 2003 Jun;101(6):1254-60. doi: 10.1016/s0029-7844(03)00341-7.

DOI:10.1016/s0029-7844(03)00341-7
PMID:12798533
Abstract

OBJECTIVE

To determine whether delivery can be predicted using transabdominal uterine electromyography.

METHODS

A total of 99 patients were grouped as either term (37 weeks or more) or preterm (less than 37 weeks). Uterine electrical activity was recorded for 30 minutes in clinic. Electromyographic "bursts" were evaluated to determine the power density spectrum. Measurement-to-delivery time was compared with the average power density spectrum's peak frequency. Receiver operating characteristic curve analysis was performed for 48, 24, 12, and 8 hours from term delivery, and 6, 4, 2, and 1 day(s) from preterm delivery.

RESULTS

The power density spectrum peak frequency increased as the measurement-to-delivery interval decreased. Receiver operating characteristic curve analysis gave high positive and negative predictive values for both term and preterm delivery. At term, the average power density spectrum peak frequency was significantly higher for the 24-or-fewer-hours-to-delivery group than for the more-than-24-hours-to-delivery group, whereas at preterm, the average power density spectrum peak frequency was significantly higher in the 4-or-fewer-days-to-delivery group than in the more-than-4-days-to-delivery group (P <.05).

CONCLUSION

Transabdominal uterine electromyography predicts delivery within 24 hours at term and within 4 days preterm. This methodology offers many advantages and benefits that are not available with present uterine monitoring systems.

摘要

目的

确定是否可以通过经腹子宫肌电图预测分娩。

方法

总共99例患者被分为足月组(37周及以上)或早产组(小于37周)。在诊所记录子宫电活动30分钟。评估肌电图“爆发”以确定功率密度谱。将测量至分娩的时间与平均功率密度谱的峰值频率进行比较。对足月分娩的48、24、12和8小时以及早产的6、4、2和1天进行受试者操作特征曲线分析。

结果

随着测量至分娩间隔的缩短,功率密度谱峰值频率增加。受试者操作特征曲线分析得出足月和早产分娩的高阳性和阴性预测值。足月时,分娩时间在24小时及以内的组的平均功率密度谱峰值频率显著高于分娩时间超过24小时的组,而早产时,分娩时间在4天及以内的组的平均功率密度谱峰值频率显著高于分娩时间超过4天的组(P<.05)。

结论

经腹子宫肌电图可预测足月分娩在24小时内以及早产分娩在4天内。这种方法具有许多现有子宫监测系统所没有的优势和益处。

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