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| The Levels and Significance of CL, phIGFBP-1, fFN, and Vaginal Microbial Metabolites in Preterm Pregnant Women |
| TANG Lin, SHAO Xiulan |
| Shanghai Jinshan District Tinglin Hospital,Shanghai 201500 |
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Abstract 【Objective】To investigate the expression levels and significance of hyperphosphorylated insulin-like growth factor binding protein-1 (phIGFBP-1), fetal fifinexin (fFN), cervical tube length (CL) and vaginal microbial metabolites in cervical secretions in preterm pregnant women. 【Methods】A total of 92 non-full-term single pregnant women with contractions admitted to our hospital from September 2020 to October 2021 were selected and divided into preterm group (n=50) and full-term group (n=42) according to pregnancy outcomes. The positive rates of phIGFBP-1, fFN, CL and vaginal microbial metabolites in cervical secretions of the two groups were compared. The correlation among CL, fFN and phIGFBP-1 was analyzed. The predictive efficacy of phIGFBP-1, fFN, and CL in pregnant women with premature delivery was evaluated. 【Results】The levels of phIGFBP-1 and fFN from cervical secretions in preterm delivery group were significantly higher than those in full-term delivery group (P<0.05), while the level of CL was significantly lower than that in full-term delivery group (P<0.05). There was a negative correlation of phIGFBP-1 and fFN with CL in cervical secretions (r=-0.320, -0.387, P<0.05). There were no significant differences in the positive rates of vaginal microbial metabolites hydrogen peroxide (H2O2), leucocyte esterase (LE) and sialidase (SNA) between preterm and full-term groups (P>0.05). The area under receiver operating characteristic (ROC) curve of phIGFBP-1, fFN, CL and their combination for predicting preterm birth were 0.721, 0.757, 0.841 and 0.976, respectively. 【Conclusion】Compared to full-term pregnant women, the levels of phIGFBP-1 and fFN in preterm pregnant women were significantly higher, CL was lower, and vaginal microbial metabolites were not significantly different. The phIGFBP-1, fFN and CL have a good predictive effect on preterm delivery.
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Received: 29 June 2023
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2024, Vol. 41 
