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Uterocervical Angle Measurement for Prediction Spontaneous Preterm Birth in Twin Pregnancy |
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| รหัสดีโอไอ | |
| Creator | Panisara Niyomyam |
| Title | Uterocervical Angle Measurement for Prediction Spontaneous Preterm Birth in Twin Pregnancy |
| Contributor | Dhirapatara Charoenvidhya, Boonchai Uerpairojkit |
| Publisher | PIMDEE Co., Ltd. |
| Publication Year | 2565 |
| Journal Title | Thai Journal of Obstetrics and Gynaecology |
| Journal Vol. | 30 |
| Journal No. | 5 |
| Page no. | 362-368 |
| Keyword | cervical length, preterm birth, second trimester, uterocervical angle, twin pregnancy |
| URL Website | https://tci-thaijo.org/index.php/tjog/index |
| Website title | www.tci-thaijo.org |
| ISSN | 2673-0871 |
| Abstract | Objectives: This study's objective determined the predictive value of the uterocervical angle in predicting preterm birth in twin pregnant women at 16-23+6 weeks of gestation. Materials and Methods: A diagnostic study was conducted in twin pregnant women at 16-23+6 weeks of gestation who had prenatal care at the King Chulalongkorn Memorial Hospital between March 2019 and February 2020. Uterocervical angle and cervical length were assessed at 16-23+6 weeks of gestation. Optimal cut-off for the uterocervical angle was obtained to calculate the predictive values for preterm birth. Results: A total of 84 pregnant women were included in this study. Thirty-eight cases (47.5%) developed preterm birth. Women who delivered < 37 weeks had significantly higher uterocervical angles compared to those who delivered ? 37 weeks (109.32 degrees vs. 96.41 degrees, p = 0.016). The optimal cut-off of the uterocervical angle was 102 degrees. Sensitivity specificity, positive predictive value, and negative predictive value were 65.8%, 61.9%, 61.9%, and 68.4%, respectively.Conclusion: The uterocervical angle was an easy technique that could be one of the screening tools to predict preterm birth among twin pregnant women who had an angle equal to or greater than 102o, with a sensitivity, positive predictive value, and a negative predictive value of more than 60%. |
