Gestational diabetes modifies the association between PlGF in early pregnancy and preeclampsia in women with obesity

Matias C. Vieira, Shahina Begum, Paul T. Seed, Dania Badran, Annette L. Briley, Carolyn Gill, Keith M. Godfrey, Deborah A. Lawlor, Scott M. Nelson, Nashita Patel, Naveed Sattar, Sara L. White, Lucilla Poston, Dharmintra Pasupathy, UPBEAT Consortium

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Objective: To identify clinical and biomarker risk factors for preeclampsia in women with obesity and to explore interactions with gestational diabetes, a condition associated with preeclampsia. Study design: In women with obesity (body mass index ≥ 30 kg/m2) from the UK Pregnancies Better Eating and Activity Trial (UPBEAT), we examined 8 clinical factors (socio-demographic characteristics, BMI, waist circumference and clinical variables) and 7 biomarkers (HDL cholesterol, hemoglobin A1c, adiponectin, interleukin-6, high sensitivity C-reactive protein, and placental growth factor (PlGF)) in the early second trimester for association with later development of preeclampsia using logistic regression. Factors were selected based on prior association with preeclampsia. Interaction with gestational diabetes was assessed. Main outcome measure: Preeclampsia. Results: Prevalence of preeclampsia was 7.3% (59/824). Factors independently associated with preeclampsia were higher mean arterial blood pressure (Odds Ratio (OR) 2.22; 95% Confidence Interval (CI) 1.58–3.12, per 10 mmHg) and lower PlGF (OR 1.39; 95% CI 1.03–1.87, per each lower 1 log2). The association of PlGF with preeclampsia was present amongst obese women without gestational diabetes (OR 1.91; 95% CI 1.32–2.78), but not in those with GDM (OR 1.05; 95% CI 0.67–1.63), p = 0.04 for interaction. Conclusion: The relationship between PlGF and preeclampsia differed in women with obesity according to gestational diabetes status, which may suggest different mechanistic pathways to preeclampsia. Whilst replication is required in other populations, this study suggests that performance of prediction models for preeclampsia should be confirmed in pre-specified subgroups.

Original languageEnglish
Pages (from-to)267-272
Number of pages6
JournalPregnancy Hypertension
Volume13
DOIs
Publication statusPublished - Jul 2018
Externally publishedYes

Keywords

  • Biomarkers
  • Gestational diabetes mellitus
  • Obesity
  • Preeclampsia
  • Risk factors

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