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Original Research ArticleInternational Journal of Reproduction, Contraception, Obstetrics and Gynecology

Publication:
Role of cervicovaginal β-hCG in prediction of preterm delivery: a prospective observational study

Int J Reprod Contracept Obstet Gynecol. 2020;9(9):3677-3682.DOI10.18203/2320-1770.ijrcog20203839

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Abstract

Background The World Health Organization (WHO) factsheet revealed that 15 million babies are born too early every year and almost 1 million children die each year due to complications of preterm birth. The objective of this study was to determine whether cervicovaginal β-hCG level can be used as predictor of preterm delivery in asymptomatic high-risk pregnant women at 24-34 weeks gestation age.

Methods This was prospective observational study. Total 134 asymptomatic pregnant women were taken for study who had at least one risk factor for preterm delivery at 24-34 weeks gestation age. Cervicovaginal secretion was collected and β-hCG level was measured by chemiluminescent immunoassay.

Results Out of 134 cases, 42.5% had preterm delivery and 57.5% had term delivery. Mean cervicovaginal β-hCG level (mIU/ml) in preterm delivery group was 39.38±19.66 and term delivery group was 21.86±11.18. Cervicovaginal β-hCG level was significantly higher in preterm group compare to term group demonstrating significant association of raised β-hCG with preterm group (p value <0.001). ROC curve analysis was done to find out best cut off value of cervicovaginal β-hCG for prediction of preterm delivery and optimal cut off value was 36.45 mIU/ml. The optimal cut off value for cervicovaginal β-hCG (36.45 mIU/ml) gave sensitivity 71.9%, specificity 81.8%, positive predictive value 74.5%, negative predictive value 79.7% and diagnostic accuracy of 77.6% for prediction of preterm delivery.

Conclusions Cervicovaginal β-hCG can be used as sensitive and specific biomarker of prediction of preterm delivery in asymptomatic high-risk women.

Keywords

Affiliations

  1. Department of Obstetrics and Gynecology, Tata Main Hospital, Jamshedpur, Jharkhand, India
  2. Department of Medicine, ESIC Polyclinic, Alwar, Rajasthan, India

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