Revista Brasileira de Ginecologia e Obstetrícia (Sep 2024)

Biochemical markers for prediction of the first half pregnancy losses: a review

  • Meruyet Kuspanova,
  • Andrey Gaiday,
  • Nurzhamal Dzhardemaliyeva,
  • Maxat Tuganbayev,
  • Maksym Gorobeiko,
  • Andrii Dinets,
  • Saule Bermagambetova,
  • Zhanna Amirbekova,
  • Gulshat Oraltayeva,
  • Dinara Omertayeva,
  • Akylbek Tussupkaliyev

DOI
https://doi.org/10.61622/rbgo/2024rbgo72
Journal volume & issue
Vol. 46

Abstract

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Abstract Objective 26% of all pregnancies end in miscarriage, and up to 10% of clinically diagnosed pregnancies, and recurrent pregnancy loss is 5% among couples of childbearing ages. Although there are several known causes of pregnancy loss in the first half, including recurrent pregnancy loss, including parental chromosomal abnormalities, uterine malformations, endocrinological disorders, and immunological abnormalities, about half of the cases of pregnancy loss in its first half remain unexplained. Methods The review includes observational controlled studies (case-control or cohort, longitudinal studies, reviews, meta-analyses), which include the study of biochemical factors for predicting pregnancy losses in the first half, in singlet pregnancy. The Newcastle-Ottawa Scale (NOS) was used to assess the research quality. Results Finally, 27 studies were included in the review, which has 134904 examined patients. The results of the review include estimates of β-human chorionic gonadotropin, progesterone, pregnancy-associated protein – A, angiogenic vascular factors, estradiol, α-fetoprotein, homocysteine and CA-125 as a predictors or markers of the first half pregnancy losses. Conclusion It may be concluded that to date, research data indicate the unavailability of any reliable biochemical marker for predicting pregnancy losses in its first half and require either a combination of them or comparison with clinical evidence. A fairly new model shall be considered for the assessment of α-fetoprotein in vaginal blood, which may have great prospects in predicting spontaneous miscarriages.

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