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A cross-sectional study comparing D-Dimer levels from first trimester to day 2 post partum in low risk pregnancies
  1. N Murphy1,
  2. B Wallace1,
  3. D Broadhurst1,
  4. A Khashan1,
  5. O Gilligan2,
  6. L Kenny1,
  7. K O'Donoghue1
  1. 1Anu Research Centre, University College Cork, Cork, Ireland
  2. 2Cork University Hospital, Cork, Ireland


D-Dimer measurement is a highly recognised test to exclude venous thromboembolism (VTE). However, during pregnancy D-Dimer levels increase significantly, making diagnosis of VTE using the recommended non-pregnancy cut-off point ineffectual.

The aim of this cross-sectional study was to establish reference values for D-Dimers in both the first trimester of normal pregnancy and for women day 2 post partum; thus assisting them to develop effective cut-off values for accurately predicting VTE during/postpregnancy.

D-Dimer measurements were carried out on 164 low risk women carrying singleton pregnancy in their first trimester, and 147 women day 2 post partum who gave birth at term. Samples were analysed using Bio-pool Auto-Dimer Assay. Both sample populations were selected using the same exclusion criteria for low risk pregnancy outcome.

The results showed that there was a significant difference in mean D-Dimer values between the two populations. This supported previous studies that have shown an increase in D-Dimer levels during normal pregnancy. Importantly, the post partum data show that D-Dimer levels remain high in the 48 h period after delivery. Analysis of the population distributions (table below) shows that the D-Dimer 95th percentile diagnostic cut-off point for normal non-pregnant women (224 ng/ml) is not applicable at either pregnancy time-point. The results also suggest that the cut-off point will increase throughout pregnancy.

PeriodMedian5th percentile95th percentile/cut-off*
Pregnant <12-week gestation (n=164)10139499
Day 2 post partum (n=147)4802001389
  • * The recommended non-pregnancy D-Dimer cut-off level for the Bio-pool Auto-Dimer Assay is 224 ng/ml.

  • Statistics from

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