Performance Characteristics of Current Biomarkers for the Prediction of Spontaneous Preterm Birth

Herein, we synthesize and evaluate the test characteristics of candidate biomarkers of sPTB, concluding that no single biomarker can accurately predict sPTB. However, several individual or combined panels of biomolecules, including some commercially available, carry clinically significant predictive information. These biomarkers include cervical ultrasonography, the ratio of insulin-like growth factor-binding protein 4 to sex-hormone binding globulin, panels of urinary metabolites and amniotic fluid proteins, and maternal circulating cell-free RNA. Future integration of select biomarkers drawn from prospective validation cohorts into existing risk stratification strategies may enhance sPTB prediction, thereby identifying patients at greatest risk.

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Publication Details

Journal
Clinical Chemistry
Published
2025-10-16
DOI
https://doi.org/10.1093/clinchem/hvaf141
Primary Topic
Preterm Birth and Chorioamnionitis
Type
article
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article

Performance Characteristics of Current Biomarkers for the Prediction of Spontaneous Preterm Birth

Gregory W. Kirschen, Kristin D. Gerson
Clinical Chemistry
Preterm Birth and Chorioamnionitis
article

Performance Characteristics of Current Biomarkers for the Prediction of Spontaneous Preterm Birth

Gregory W. Kirschen, Kristin D. Gerson
article en

Abstract

Herein, we synthesize and evaluate the test characteristics of candidate biomarkers of sPTB, concluding that no single biomarker can accurately predict sPTB. However, several individual or combined panels of biomolecules, including some commercially available, carry clinically significant predictive information. These biomarkers include cervical ultrasonography, the ratio of insulin-like growth factor-binding protein 4 to sex-hormone binding globulin, panels of urinary metabolites and amniotic fluid proteins, and maternal circulating cell-free RNA. Future integration of select biomarkers drawn from prospective validation cohorts into existing risk stratification strategies may enhance sPTB prediction, thereby identifying patients at greatest risk.

Clinical ChemistryVol. 72(1)
University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 29%
Preterm Birth and Chorioamnionitis
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