Publications by authors named "Luc Jm Smits"
Background: Fetal growth restriction is associated with perinatal morbidity and mortality. Early identification of women having at-risk fetuses can reduce perinatal adverse outcomes.
Objectives: To assess the predictive performance of existing models predicting fetal growth restriction and birthweight, and if needed, to develop and validate new multivariable models using individual participant data.
Article Synopsis
- Doctors are trying to figure out who is at the highest risk of having another stroke after a TIA or minor stroke by looking at different factors, mainly how blocked someone's carotid arteries are.
- A new tool called the IMPROVE model has been created to better predict stroke risk by using information from MRI scans and other factors like age and sex.
- This model has been tested successfully and can help doctors decide who might need surgery to prevent future strokes.
Background: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management.
Objectives: To assess the performance of existing pre-eclampsia prediction models and to develop and validate models for pre-eclampsia using individual participant data meta-analysis.
Background: Recently, validated risk models predicting adverse obstetric outcomes combined with risk-dependent care paths have been made available for early antenatal care in the southeastern part of the Netherlands. This study will evaluate implementation progress and impact of the new approach in obstetric care.
Objective: The objective of this paper is to describe the design of a study evaluating the impact of implementing risk-dependent care.
Background: A number of first-trimester prediction models addressing important obstetric outcomes have been published. However, most models have not been externally validated. External validation is essential before implementing a prediction model in clinical practice.
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