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How can we better predict the risk of spontaneous miscarriage among women experiencing threatened miscarriage?

Publication ,  Journal Article
Ku, CW; Allen, JC; Malhotra, R; Chong, HC; Tan, NS; Østbye, T; Lek, SM; Lie, D; Tan, TC
Published in: Gynecol Endocrinol
2015

This study seeks to establish progesterone and progesterone-induced blocking factor (PIBF) levels as predictors of subsequent completed miscarriage among women presenting with threatened miscarriage between 6 and 10 weeks of gestation. Our secondary objective was to assess the known maternal risk factors, toward development of a parsimonious and clinician-friendly risk assessment model for predicting completed miscarriage. In this article, we present a prospective cohort study of 119 patients presenting with threatened miscarriage from gestation weeks 6 to 10 at a tertiary women's hospital emergency unit in Singapore. Thirty (25.2%) women had a spontaneous miscarriage. Low progesterone and PIBF levels are similarly predictive of subsequent completed miscarriage. Study results (OR, 95% CI) showed that higher levels of progesterone (0.91, 95% CI 0.88-0.94) and PIBF (0.99, 95% CI 0.98-0.99) were associated with lower risk of miscarriage. Low progesterone level was a very strong predictor of miscarriage risk in our study despite previous concerns about its pulsatile secretion. Low serum progesterone and PIBF levels predicted spontaneous miscarriage among women presenting with threatened miscarriage between gestation weeks 6 to 10. Predictive models to calculate probability of spontaneous miscarriage based on serum progesterone, together with maternal BMI and fetal heart are proposed.

Duke Scholars

Published In

Gynecol Endocrinol

DOI

EISSN

1473-0766

Publication Date

2015

Volume

31

Issue

8

Start / End Page

647 / 651

Location

England

Related Subject Headings

  • Young Adult
  • Suppressor Factors, Immunologic
  • Risk Assessment
  • Risk
  • Prospective Studies
  • Progesterone
  • Pregnancy Trimester, First
  • Pregnancy Proteins
  • Pregnancy
  • Obstetrics & Reproductive Medicine
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ku, C. W., Allen, J. C., Malhotra, R., Chong, H. C., Tan, N. S., Østbye, T., … Tan, T. C. (2015). How can we better predict the risk of spontaneous miscarriage among women experiencing threatened miscarriage? Gynecol Endocrinol, 31(8), 647–651. https://doi.org/10.3109/09513590.2015.1031103
Ku, Chee Wai, John C. Allen, Rahul Malhotra, Han Chung Chong, Nguan Soon Tan, Truls Østbye, Sze Min Lek, Desiree Lie, and Thiam Chye Tan. “How can we better predict the risk of spontaneous miscarriage among women experiencing threatened miscarriage?Gynecol Endocrinol 31, no. 8 (2015): 647–51. https://doi.org/10.3109/09513590.2015.1031103.
Ku CW, Allen JC, Malhotra R, Chong HC, Tan NS, Østbye T, et al. How can we better predict the risk of spontaneous miscarriage among women experiencing threatened miscarriage? Gynecol Endocrinol. 2015;31(8):647–51.
Ku, Chee Wai, et al. “How can we better predict the risk of spontaneous miscarriage among women experiencing threatened miscarriage?Gynecol Endocrinol, vol. 31, no. 8, 2015, pp. 647–51. Pubmed, doi:10.3109/09513590.2015.1031103.
Ku CW, Allen JC, Malhotra R, Chong HC, Tan NS, Østbye T, Lek SM, Lie D, Tan TC. How can we better predict the risk of spontaneous miscarriage among women experiencing threatened miscarriage? Gynecol Endocrinol. 2015;31(8):647–651.

Published In

Gynecol Endocrinol

DOI

EISSN

1473-0766

Publication Date

2015

Volume

31

Issue

8

Start / End Page

647 / 651

Location

England

Related Subject Headings

  • Young Adult
  • Suppressor Factors, Immunologic
  • Risk Assessment
  • Risk
  • Prospective Studies
  • Progesterone
  • Pregnancy Trimester, First
  • Pregnancy Proteins
  • Pregnancy
  • Obstetrics & Reproductive Medicine