Literature DB >> 21568946

Likelihood ratios for the prediction of preterm delivery with biomarkers.

Lene Hee1.   

Abstract

OBJECTIVE: To conduct a literature search for selected biomarkers on preterm delivery and estimate their likelihood ratios (LR).
DESIGN: Structured review. POPULATION: Low and high-risk populations and women with symptoms of preterm delivery. METHODS. Publications were identified in PubMed. MAIN OUTCOME MEASURES: LR on selected biomarkers for preterm delivery.
RESULTS: In asymptomatic women with low risk of preterm delivery, the following biomarkers gave major shifts in probability (LR above 5): twins (LR+ 10), Ureaplasma urealyticum in amniotic fluid (LR+ of 10), cervical length <25mm (LR+ 6), salival estriol (LR+ 5) and various combined tests. In asymptomatic women with high risk of preterm delivery, short cervical length (LR+ 11, LR- 0.7), high serum tumor necrosis factor-alpha (LR+ 10, LR- 0.6) gave major shifts in probability. In women with symptoms of preterm delivery, major shifts in probability can be obtained from the following amniotic fluid biomarkers: high matrix metalloproteinase-8 (LR+ 23, LR- 0.6), Ureaplasma urealyticum (LR+ 19, LR- 0.8), high interleukin (IL)-6 (LR+ 9, LR- 0.2), IL-8 (LR+10, LR- 0.2) and tumor necrosis factor-alpha (LR+ 8, LR- 0.4). In serum IL-6 (LR+ 12, LR- 0.2), Cluster of Differentiation 163 (LR+9, LR-0.8) and various combined tests. Vaginal fetal fibronectin (LR+ 3 and LR- 0.5) and short cervical length (LR+ 2, LR- 0.3) gave LRs of some importance (LR below 5).
CONCLUSION: Several biomarkers have been identified for assessment of risk of preterm delivery. Their clinical relevance depends on the efficacy of the interventions which can be offered to these patients.
© 2011 The Author Acta Obstetricia et Gynecologica Scandinavica© 2011 Nordic Federation of Societies of Obstetrics and Gynecology.

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Year:  2011        PMID: 21568946     DOI: 10.1111/j.1600-0412.2011.01187.x

Source DB:  PubMed          Journal:  Acta Obstet Gynecol Scand        ISSN: 0001-6349            Impact factor:   3.636


  11 in total

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