Risk for Imminent Delivery in Preeclampsia Based on the sFlt-1/PlGF Ratio: Do We Need New Cut-Offs?

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Abstract

INTRODUCTION: It is still difficult to predict the outcome of preeclampsia and determine the individual procedure with regards to the time of birth. Cut-offs of the sFlt-1/PlGF ratio with a high risk for imminent delivery have been previously published and analyzed by our study group, but could not be confirmed. The aim of the current study is to re-evaluate the described cut-off values again in a new period of time.

MATERIALS AND METHODS: We performed a retrospective analysis (IRB 1279/2020) including all preeclampsia patients delivering in our department over a 3-year period. Patients were divided into 2 groups - gestational week 24+0-33+6 with an s-Flt1/PlGF > 655.2 and 34+0-37+0 weeks with an sFlt-1/PlGF > 201 and were compared with preeclampsia patients of the same weeks with sFlt-1/PlGF values below the described cut-offs. Correlation between sFlt-1/PlGF ratio and time to delivery was assessed.

RESULTS: The association between sFlt-1/PlGF above the threshold and delivery within 48 h is significant for the high ratio early group (p < 0.01) but not for the high ratio late group (p = 0.62). In the early group, 60% of patients with sFlt-1/PlGF > 655.2 but only 8% in the low ratio group delivered within 48 h. In both the early and the late preeclampsia group, a high number of patients remained pregnant even though they showed elevated ratios.

CONCLUSION: High sFlt-1/PlGF ratios seem to correlate with a shorter pregnancy duration to some extent. Nevertheless, not all patients need to be delivered within 48 h, so the decision should never be based on the laboratory test alone.

Translated title of the contributionRisiko für eine drohende Entbindung bei Präeklampsie basierend auf dem sFlt-1/PlGF-Quotienten: Brauchen wir neue Grenzwerte?
Original languageEnglish
Pages (from-to)190-199
Number of pages10
JournalGeburtshilfe und Frauenheilkunde
Volume85
Issue number2
DOIs
Publication statusPublished - Feb 2025

Fields of science

  • 302022 Gynaecology
  • 101018 Statistics
  • 502051 Economic statistics
  • 105108 Geostatistics
  • 302 Clinical Medicine
  • 302017 Obstetrics
  • 101029 Mathematical statistics
  • 102009 Computer simulation
  • 101026 Time series analysis
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  • 101024 Probability theory
  • 102037 Visualisation
  • 303007 Epidemiology
  • 303040 Health services research
  • 502025 Econometrics
  • 504006 Demography
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  • 504004 Population statistics
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  • 301 Medical-Theoretical Sciences, Pharmacy
  • 302014 Endocrinology
  • 106007 Biostatistics
  • 305 Other Human Medicine, Health Sciences
  • 504007 Empirical social research
  • 101007 Financial mathematics
  • 302081 Thoracic surgery
  • 302018 Vascular surgery
  • 302026 Heart surgery

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