Novel biomarkers for predicting intrauterine growth restriction: a systematic review and meta-analysis

Authors

  • A Conde-Agudelo,

    1. Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD and Detroit, MI, USA
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  • AT Papageorghiou,

    1. Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Women's Centre, John Radcliffe Hospital, Oxford, UK
    2. Oxford Maternal and Perinatal Health Institute, Green Templeton College, Oxford, UK
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  • SH Kennedy,

    1. Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Women's Centre, John Radcliffe Hospital, Oxford, UK
    2. Oxford Maternal and Perinatal Health Institute, Green Templeton College, Oxford, UK
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  • J Villar

    Corresponding author
    1. Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Women's Centre, John Radcliffe Hospital, Oxford, UK
    2. Oxford Maternal and Perinatal Health Institute, Green Templeton College, Oxford, UK
    • Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD and Detroit, MI, USA
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Correspondence: Prof J Villar, Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Women's Centre, John Radcliffe Hospital, Oxford OX3 9DU, UK. Email jose.villar@obs-gyn.ox.ac.uk

Abstract

Background

Several biomarkers for predicting intrauterine growth restriction (IUGR) have been proposed in recent years. However, the predictive performance of these biomarkers has not been systematically evaluated.

Objective

To determine the predictive accuracy of novel biomarkers for IUGR in women with singleton gestations.

Search strategy

Electronic databases, reference list checking and conference proceedings.

Selection criteria

Observational studies that evaluated the accuracy of novel biomarkers proposed for predicting IUGR.

Data collection and analysis

Data were extracted on characteristics, quality and predictive accuracy from each study to construct 2 × 2 tables. Summary receiver operating characteristic curves, sensitivities, specificities and likelihood ratios (LRs) were generated.

Main results

A total of 53 studies, including 39 974 women and evaluating 37 novel biomarkers, fulfilled the inclusion criteria. Overall, the predictive accuracy of angiogenic factors for IUGR was minimal (median pooled positive and negative LRs of 1.7, range 1.0–19.8; and 0.8, range 0.0–1.0, respectively). Two small case–control studies reported high predictive values for placental growth factor and angiopoietin-2 only when IUGR was defined as birthweight centile with clinical or pathological evidence of fetal growth restriction. Biomarkers related to endothelial function/oxidative stress, placental protein/hormone, and others such as serum levels of vitamin D, urinary albumin : creatinine ratio, thyroid function tests and metabolomic profile had low predictive accuracy.

Conclusions

None of the novel biomarkers evaluated in this review are sufficiently accurate to recommend their use as predictors of IUGR in routine clinical practice. However, the use of biomarkers in combination with biophysical parameters and maternal characteristics could be more useful and merits further research.

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