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本文引用的文献

1
Electrohysterographic conduction velocity estimation.子宫电图传导速度估计
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6934-7. doi: 10.1109/IEMBS.2009.5333636.
2
Spatial analysis of uterine EMG signals: evidence of increased in synchronization with term.子宫肌电信号的空间分析:与足月时同步性增加的证据。
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6296-9. doi: 10.1109/IEMBS.2009.5332795.
3
Accuracy of frequency-related parameters of the electrohysterogram for predicting preterm delivery: a review of the literature.用于预测早产的子宫电图频率相关参数的准确性:文献综述
Obstet Gynecol Surv. 2009 Aug;64(8):529-41. doi: 10.1097/OGX.0b013e3181a8c6b1.
4
Inter-electrode delay estimators for electrohysterographic propagation analysis.用于子宫电描记图传播分析的电极间延迟估计器
Physiol Meas. 2009 Aug;30(8):745-61. doi: 10.1088/0967-3334/30/8/002. Epub 2009 Jun 24.
5
On the propagation analysis of electrohysterographic signals.关于子宫电图信号的传播分析
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3868-71. doi: 10.1109/IEMBS.2008.4650054.
6
Spatiotemporal electrohysterography patterns in normal and arrested labor.正常分娩和产程停滞中的时空电子宫造影模式
Am J Obstet Gynecol. 2009 Jan;200(1):54.e1-7. doi: 10.1016/j.ajog.2008.09.008.
7
Preterm labour detection by use of a biophysical marker: the uterine electrical activity.利用生物物理标志物检测早产:子宫电活动。
BMC Pregnancy Childbirth. 2007 Jun 1;7 Suppl 1(Suppl 1):S5. doi: 10.1186/1471-2393-7-S1-S5.
8
Identification of human term and preterm labor using artificial neural networks on uterine electromyography data.利用人工神经网络基于子宫肌电图数据识别足月和早产。
Ann Biomed Eng. 2007 Mar;35(3):465-73. doi: 10.1007/s10439-006-9248-8. Epub 2007 Jan 17.
9
Comparing uterine electromyography activity of antepartum patients versus term labor patients.比较产前患者与足月分娩患者的子宫肌电图活动。
Am J Obstet Gynecol. 2005 Jul;193(1):23-9. doi: 10.1016/j.ajog.2005.01.050.
10
The epidemiology of threatened preterm labor: a prospective cohort study.先兆早产的流行病学:一项前瞻性队列研究。
Am J Obstet Gynecol. 2005 Apr;192(4):1325-9; discussion 1329-30. doi: 10.1016/j.ajog.2004.12.055.

经阴道子宫肌电图预测早产。

Noninvasive uterine electromyography for prediction of preterm delivery.

机构信息

Department of Obstetrics and Gynecology, St Joseph's Hospital and Medical Center, 445 N. 5th Street, Phoenix, AZ 85004, USA.

出版信息

Am J Obstet Gynecol. 2011 Mar;204(3):228.e1-10. doi: 10.1016/j.ajog.2010.09.024. Epub 2010 Dec 8.

DOI:10.1016/j.ajog.2010.09.024
PMID:21145033
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3090039/
Abstract

OBJECTIVE

Power spectrum (PS) of uterine electromyography (EMG) can identify true labor. EMG propagation velocity (PV) to diagnose labor has not been reported. The objective was to compare uterine EMG against current methods to predict preterm delivery.

STUDY DESIGN

EMG was recorded in 116 patients (preterm labor, n = 20; preterm nonlabor, n = 68; term labor, n = 22; term nonlabor, n = 6). A Student t test was used to compare EMG values for labor vs nonlabor (P < .05, significant). Predictive values of EMG, Bishop score, contractions on tocogram, and transvaginal cervical length were calculated using receiver-operator characteristics analysis.

RESULTS

PV was higher in preterm and term labor compared with nonlabor (P < .001). Combined PV and PS peak frequency predicted preterm delivery within 7 days with area under the curve (AUC) of 0.96. Bishop score, contractions, and cervical length had an AUC of 0.72, 0.67, and 0.54.

CONCLUSION

Uterine EMG PV and PS peak frequency more accurately identify true preterm labor than clinical methods.

摘要

目的

子宫肌电图(EMG)的功率谱(PS)可识别真性临产。EMG 传播速度(PV)用于诊断临产尚未有报道。本研究旨在比较子宫 EMG 与目前用于预测早产的方法。

研究设计

记录了 116 例患者(早产临产,n=20;早产未临产,n=68;足月临产,n=22;足月未临产,n=6)的 EMG。采用 Student t 检验比较临产与未临产的 EMG 值(P<.05,差异有统计学意义)。采用受试者工作特征曲线分析计算 EMG、Bishop 评分、宫缩图宫缩和经阴道宫颈长度的预测值。

结果

早产和足月临产的 PV 均高于未临产(P<.001)。PV 和 PS 峰频率联合预测 7 天内早产的曲线下面积(AUC)为 0.96。Bishop 评分、宫缩和宫颈长度的 AUC 分别为 0.72、0.67 和 0.54。

结论

与临床方法相比,子宫 EMG 的 PV 和 PS 峰频率更能准确识别真性早产临产。