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DOI 10.1080/07853890.2016.1211789

Медицинская библиотека · Annals of medicine · 2016

Early- or mid-trimester amniocentesis biomarkers for predicting preterm delivery: a meta-analysis.

Liu Yinglin, Liu Yukun, Zhang Rui, Zhu Liqiong, Feng Ziya

СтатьяМетаанализОбзорПеревод в очереди

Аннотация

OBJECTIVE

To determine the value of early- or mid-trimester amniotic fluid levels of interleukin-6 (IL-6), matrix metalloproteinase-8 (MMP-8), and glucose for predicting preterm delivery.

METHODS

Randomized controlled trials and two-arm prospective, retrospective, cohorts, and case-controlled studies in which patients received early- or mid-trimester amniocentesis for karyotyping, and biomarker testing of the amniotic fluid was performed and delivery data were available were included in the analysis.

RESULTS

Outcome measures were the associations of amniotic fluid IL-6, MMP-8, and glucose levels with preterm delivery. Differences in means with 95% confidence intervals (CIs) were calculated. Of 288 articles identified, 14 were included in the meta-analysis with a total of 675 patients who had preterm birth and 2518 patients who had term births. The preterm-delivery group had significantly higher amniotic fluid IL-6 and MMP-8 levels, and a significantly lower glucose level than the term delivery group (IL-6: difference in means = 0.32, 95% CI: 0.22-0.43, p < 0.001; MMP-8: difference in means = 4.47, 95% CI: 0.83-8.11), p = 0.016; glucose: difference in means = -5.22, 95% CI: -8.19 to -2.26, p = 0.001)

Conclusion

Early- or mid-trimester amniotic fluid IL-6, MMP-8, and glucose levels are useful for predicting the risk of preterm delivery. KEY MESSAGES Median amniotic fluid ferritin and IL-6 levels, and mean amniotic fluid ALP levels were higher in the preterm group. The preterm-delivery group had significantly higher amniotic fluid IL-6 and MMP-8 levels, and a significantly lower glucose level than the term-delivery group.

Для цитирования: Liu Yinglin, Liu Yukun, Zhang Rui, Zhu Liqiong, Feng Ziya. Early- or mid-trimester amniocentesis biomarkers for predicting preterm delivery: a meta-analysis.. Annals of medicine. 2016. DOI: 10.1080/07853890.2016.1211789.

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