Blood biomarkers to predict the onset of pre-eclampsia: A systematic review and meta-analysis
Pre-eclampsia is one of the most common pregnancy complications, and a major cause of fetal and maternal morbidity and mortality globally. Diagnosis currently takes place in the third trimester based on clinical symptoms. This systematic review and meta-analysis sought to determine the blood biomarkers that are associated with pre-eclampsia, and in particular, the biomarkers that could predict pre-eclampsia in early pregnancy. We searched the electronic databases (Medline, Embase, Cochrane Library) from inception up to March 2022. Prospective studies with 1000 or more participants that measured blood biomarkers to predict or diagnose pre-eclampsia have been included in this systematic review. Biomarkers’ measurements were considered from the first up to the third trimester, but not during labor. Data concerning pre-eclampsia, biomarker measurements and study characteristics were extracted. Meta-analysis was performed when possible. We found a total of 43 studies (assessing 62 different biomarkers in 18,170 pregnancies, have been included in this systematic review, and a total of 6 studies (assessing 2 biomarkers have been included in the meta-analysis). Statistical analysis was performed for PlGF and sFlt-1. Mean difference in PlGF levels between pre-eclampsia and healthy pregnancies, appear to increase as the pregnancy progresses. Results of sFlt-1 meta-analysis were inconclusive. No significant publication bias was identified. This is the most comprehensive and up to date systematic review and meta-analysis on this important topic on blood biomarkers for the early prediction of pre-eclampsia. Further This research highlights the urgent needed for further discovery research to identify blood biomarkers that could predict the development of preeclampsia.
Bee Kang Tan was supported by the John and Lucille Van Geest Foundation and the Medical Research Council (MR/R020981/2). Kamlesh Khunti was supported by the National Institute for Health Research
CitationMarianna Danielli, Roisin C. Thomas, Clare L. Gillies, Jiamiao Hu, Kamlesh Khunti, Bee Kang Tan, Blood biomarkers to predict the onset of pre-eclampsia: A systematic review and meta-analysis, Heliyon, 8, 11, 2022, e11226, https://doi.org/10.1016/j.heliyon.2022.e11226.
Author affiliationCardiovascular Sciences
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