遇见数据集

External validation of prognostic models for preeclampsia in a Dutch multicenter prospective cohort

收藏
Figshare2019-03-20 更新2026-04-29 收录
官方服务:

资源简介:

Objective: To perform an external validation of all published prognostic models for first-trimester prediction of the risk of developing preeclampsia (PE). Methods: Women Results: 3,736 women were included; 87 (2.3%) developed PE. Calibration was poor due to overestimation. Discrimination of 9 models for LO-PE ranged from 0.58 to 0.71 and of 9 models for all PE from 0.55 to 0.75. Conclusion: Only a few easily applicable prognostic models for all PE showed discrimination above 0.70, which is considered an acceptable performance.

研究目的:对已发表的所有用于早孕期预测子痫前期(preeclampsia, PE)发病风险的预后模型开展外部验证。研究方法:纳入妊娠女性作为研究对象。结果:共纳入3736名妊娠女性,其中87例(2.3%)发生子痫前期。因模型存在风险高估情况,校准性能欠佳。针对早发型子痫前期(LO-PE)的9个预后模型,其区分度介于0.58至0.71之间;针对全型子痫前期的9个预后模型,区分度则介于0.55至0.75之间。结论:仅少数易于临床应用的全型子痫前期预后模型,其区分度高于0.70,该性能被认为处于可接受水平。

创建时间:
2019-03-20
二维码
社区交流群
二维码
科研交流群
商业服务