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基于 ASPRE 试验算法的用于预测早产子痫前期的简单风险评分在考虑初产妇产妇特征方面的外部验证:一项多中心回顾性队列研究。

External validation of a simple risk score based on the ASPRE trial algorithm for preterm pre-eclampsia considering maternal characteristics in nulliparous pregnant women: a multicentre retrospective cohort study.

机构信息

Division of Obstetrics and Prenatal Medicine, Department of Medicine and Surgery (DIMEC) Sant'Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.

Department of Surgical Sciences, OIRM Sant'Anna Hospital University of Turin, Turin, Italy.

出版信息

BJOG. 2020 Sep;127(10):1210-1215. doi: 10.1111/1471-0528.16246. Epub 2020 Apr 29.

Abstract

OBJECTIVE

To validate the performance of a first-trimester simple risk score based on the ASPRE trial algorithm for pre-eclampsia.

DESIGN

Multicentre retrospective cohort analysis.

SETTING

Four Italian hospitals.

POPULATION

Unselected nulliparous women at 11-13 weeks of gestation from January 2014 through to January 2018.

METHODS

Model performance was evaluated based on discrimination and calibration.

MAIN OUTCOME MEASURES

Delivery before 37 weeks of gestation with a diagnosis of pre-eclampsia.

RESULTS

Based on 73 preterm pre-eclampsia cases and 7546 controls (including 101 cases of late pre-eclampsia), the area under the receiver operating characteristics curve was 0.659 (95% CI 0.579-0.726). The sensitivity was 32.9% (95% CI 22.1-43.7) at a false-positive rate of 8.8%. The positive likelihood ratio was 3.74 (95% CI 2.67-5.23), the positive predictive value was 3.49% (95% CI 2.12-4.86%) and the negative predictive value was 99.3% (95% CI 99.1-99.5%). The sensitivity and positive likelihood ratio were approximately 40% lower than in the original study. The calibration analysis showed a good agreement between observed and expected risks (P = 0.037). Comparison with the Fetal Medicine Foundation (FMF) algorithm yielded a difference in the area under the curve of 0.084 (P = 0.007).

CONCLUSIONS

In our Italian population, the simple risk score had a lower performance than expected for the prediction of preterm pre-eclampsia in nulliparous women. The FMF algorithm applied to the same data set resulted in a better prediction.

TWEETABLE ABSTRACT

Simple risk score predicts preterm pre-eclampsia in Italy.

摘要

目的

验证基于 ASPRE 试验算法的子痫前期初产妇简易风险评分的效能。

设计

多中心回顾性队列分析。

地点

意大利四家医院。

人群

2014 年 1 月至 2018 年 1 月,11-13 孕周、未产妇。

方法

评估模型基于区分度和校准度进行表现。

主要观察指标

37 孕周前因子痫前期行剖宫产分娩。

结果

基于 73 例早产子痫前期病例和 7546 例对照(包括 101 例晚发型子痫前期),受试者工作特征曲线下面积为 0.659(95%CI 0.579-0.726)。假阳性率为 8.8%时,敏感性为 32.9%(95%CI 22.1-43.7)。阳性似然比为 3.74(95%CI 2.67-5.23),阳性预测值为 3.49%(95%CI 2.12-4.86%),阴性预测值为 99.3%(95%CI 99.1-99.5%)。与原始研究相比,敏感性和阳性似然比降低了约 40%。校准分析显示,观察到的风险与预期风险之间具有良好的一致性(P=0.037)。与胎儿医学基金会(FMF)算法比较,曲线下面积差异为 0.084(P=0.007)。

结论

在意大利人群中,对于预测初产妇早产子痫前期,简易风险评分的表现逊于预期。应用于同一数据集的 FMF 算法可获得更好的预测效果。

tweeted abstract: 意大利,简易风险评分预测早产子痫前期。

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