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胎膜早破晚期早产儿的新生儿败血症能否被预测?预测模型的开发。

Can neonatal sepsis be predicted in late preterm premature rupture of membranes? Development of a prediction model.

作者信息

van der Ham David P, van Kuijk Sander, Opmeer Brent C, Willekes Christine, van Beek Johannes J, Mulder Antonius L M, van Loon Aren J, Groenewout Martiët, Mantel Gerald D, Bloemenkamp Kitty W M, Porath Martina, Kwee Anneke, Akerboom Bettina M C, Papatsonis Dimitri N M, Metz Godfried C H, Nijhuis Jan G, Mol Ben W J

机构信息

Department of Obstetrics and Gynecology, Maastricht University Medical Centre, GROW - School for Oncology and Developmental Biology, PO Box 5800, 6202 AZ Maastricht, The Netherlands; Department of Obstetrics and Gynecology, Martini Hospital Groningen, PO Box 30033, 9700 RB Groningen, The Netherlands.

Department of Obstetrics and Gynecology, Maastricht University Medical Centre, GROW - School for Oncology and Developmental Biology, PO Box 5800, 6202 AZ Maastricht, The Netherlands.

出版信息

Eur J Obstet Gynecol Reprod Biol. 2014 May;176:90-5. doi: 10.1016/j.ejogrb.2014.02.003. Epub 2014 Feb 13.

Abstract

OBJECTIVE

Women with late preterm premature rupture of membranes (PROM) have an increased risk that their child will develop neonatal sepsis. We evaluated whether neonatal sepsis can be predicted from antepartum parameters in these women.

STUDY DESIGN

We used multivariable logistic regression to develop a prediction model. Data were obtained from two recent randomized controlled trials on induction of labor versus expectant management in late preterm PROM (PPROMEXIL trials, (ISRCTN29313500 and ISRCTN05689407). Data from randomized as well as non-randomized women, who consented to the use of their medical data, were used. We evaluated 13 potential antepartum predictors for neonatal sepsis. Missing data were imputed. Discriminative ability of the model was expressed as the area under the receiver operating characteristic (ROC) curve and a calibration with both a calibration plot and the Hosmer and Lemeshow goodness-of-fit test. Overall performance of the prediction model was quantified as the scaled Brier score.

RESULTS

We studied 970 women. Thirty-three (3.4%) neonates suffered neonatal sepsis. Maternal age (OR 1.09 per year), maternal CRP level (OR 1.01 per mmol/l), maternal temperature (OR 1.80 per °C) and positive GBS culture (OR 2.20) were associated with an increased risk of neonatal sepsis. The model had an area under the ROC-curve of 0.71. The model had both a good calibration and accuracy.

CONCLUSIONS

Antepartum parameters aid in the more precise prediction of the risk of neonatal sepsis in women with late preterm PPROM.

摘要

目的

晚期早产胎膜早破(PROM)的女性,其孩子发生新生儿败血症的风险增加。我们评估了能否根据这些女性的产前参数预测新生儿败血症。

研究设计

我们使用多变量逻辑回归来建立一个预测模型。数据来自最近两项关于晚期早产PROM引产与期待治疗的随机对照试验(PPROMEXIL试验,ISRCTN29313500和ISRCTN05689407)。使用了随机分组以及同意使用其医疗数据的非随机分组女性的数据。我们评估了13个潜在的新生儿败血症产前预测因素。对缺失数据进行了插补。模型的判别能力用受试者操作特征(ROC)曲线下面积表示,并通过校准图以及Hosmer和Lemeshow拟合优度检验进行校准。预测模型的总体性能用标化Brier评分量化。

结果

我们研究了970名女性。33名(3.4%)新生儿发生了新生儿败血症。产妇年龄(每年OR 1.09)、产妇CRP水平(每毫摩尔/升OR 1.01)、产妇体温(每摄氏度OR 1.80)和GBS培养阳性(OR 2.20)与新生儿败血症风险增加相关。该模型的ROC曲线下面积为0.71。该模型具有良好的校准和准确性。

结论

产前参数有助于更精确地预测晚期早产胎膜早破女性新生儿败血症的风险。

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