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Background The management of potential pre-eclamptic patients using the soluble FMS-like tyrosine kinase 1 (sFlt-1)/ placental growth factor (PlGF) ratio is characterised by frequent false-positive results. Methods A retrospective cohort study was conducted to identify and validate cut-off values, obtained using a machine learning model, for the sFlt-1/PlGF ratio and NT-proBNP that would be predictive of the absence or presence of early-onset pre-eclampsia (PE) in singleton pregnancies presenting at 24 to 33 + 6 weeks of gestation. Results For the development cohort, we defined two sFlt-1/PlGF ratio cut-off values of 23 and 45 to rule out and rule in early-onset PE at any time between 24 and 33 + 6 weeks of gestation. Using an sFlt-1/PlGF ratio cut-off value of 23, the negative predictive value (NPV) for the development of early-onset PE was 100% (95% confidence interval [CI]: 99.5-100). The positive predictive value (PPV) of an sFlt-1/PlGF ratio &gt;45 for a diagnosis of early-onset PE was 49.5% (95% CI: 45.8-55.6). When an NT-proBNP value &gt;174 was combined with an sFlt-1/PlGF ratio &gt;45, the PPV was 86% (95% CI: 79.2-92.6). In the validation cohort, the negative and positive values were very similar to those found for the development cohort. Conclusions An sFlt-1/PlGF ratio &lt;23 rules out early-onset PE between 24 and 33 + 6 weeks of gestation at any time, with an NPV of 100%. An sFlt-1/PlGF ratio &gt;45 with an NT-proBNP value &gt;174 significantly enhances the probability of developing early-onset PE.

A more accurate prediction to rule in and rule out pre-eclampsia using the sFlt-1/PlGF ratio and NT-proBNP as biomarkers