Thyroid peroxidase antibodies do not predict outcome in 900 women with recurrent pregnancy loss

Background and objectives: Thyroid autoimmunity (TAI) has been associated with a significantly increased risk of miscarriage in women with recurrent pregnancy loss (RPL). The aim of this study was to determine the prevalence of TAI in women with RPL and compare the clinical characteristics of positive and negative TAI women. Materials and Methods: This is a retrospective cross-sectional study; 203 women with RPL were included. Thyroid profile, anti-thyroid peroxidase (TPO-Ab), and anti-thyroglobulin (TG-Ab) antibodies were measured in all participants. Clinical characteristics and causes of RPL were compared between positive and negative TAI. Results: Prevalence of TAI was 14.8%; prevalence of positive TPO-Ab and TG-Ab was 12.3% and 4.9%, respectively. Women with TAI had significantly higher concentrations of thyrotropin (TSH) compared to women without TAI (4.8 ± 3.8 versus 3.1 ± 1.1, p = 0.001). There was no significant difference in age, the number of gestations, miscarriages, state of antiphospholipid antibodies (aPL), or causes of RPL between women that were TAI-positive versus TAI-negative. Prevalence of positive TAI by cause of RPL was: endocrine 7/25 (28%), genetic 1/5 (20%), autoimmune 1/5 (20%), anatomic 8/55 (14.5%), and unexplained cause 13/112 (11.6%). Conclusions: The prevalence of TAI in women with RPL is 14.8%. Women with an endocrine cause have the highest prevalence of TAI.

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Peri conceptional association of the triad of hyperhomocsteinemia, hypothyroidism and impaired carbohydrate metabolism with recurrent pregnancy loss

International Journal of Reproduction Contraception Obstetrics and Gynecology ◽

10.18203/2320-1770.ijrcog20213483 ◽

2021 ◽

Vol 10 (9) ◽

pp. 3549

Author(s):

Bhagyashree Mallinath Gadwal ◽

Revathi S. Rajan ◽

Kamini A. Rao

Keyword(s):

Carbohydrate Metabolism ◽

Pregnancy Loss ◽

Recurrent Pregnancy Loss ◽

Early Recognition ◽

Thyroid Peroxidase ◽

Thyroid Peroxidase Antibody ◽

Two Factors ◽

Potential Risk Factors ◽

Hospital Protocols ◽

Antibody Tests

Background: Recurrent pregnancy loss is a cause of great concern to the affected couple as well as the treating physician. We evaluated the periconceptional association of the triad of hyperhomocystienemia, hypothyroidism, and impaired carbohydrate metabolism with RPL and to identify the potential risk factors for RPL which are probably nutritional.Methods: Seven hundred ninety-six consecutive pregnancies with two or more abortions referring to our Infertility clinic were selected to be studied in a descriptive, prospective observational study in 2012-2014. All the pregnant women were subjected to routine blood tests/ examination/ imaging as per hospital protocols. All underwent TSH, FT4, GTT 75 gm (fasting and 2 h postprandial) as per routine antenatal workup. Additionally, fasting plasma homocysteine, antinuclear antibody, anti phospholipid antibody, anti- thyroid peroxidase antibody tests were performed for patients with RPL. All the patients were studied for the triad of hypothyroidism, hyperhomocysteinemia and impaired carbohydrate metabolism.Results: The incidence of RPL was found to be 5.65 %. Majority of women (51.1%) were in the age group 30-34 years. Majority of the women (55.6%) had 2 previous abortions. Majority of women (57.7%) had conceived normally. Majority of women (46.7%) had BMI<25. PCOS was reported in 28.9% women. HHcy, hypothyroidism and impaired carbohydrate metabolism was found in 78%, 73% and 73% women, respectively. The presence of two factors was reported in 60 to 65% women. 56% women reported the presence of the triad. About 7% of the patients underwent repeat abortion in second trimester of which 66.6% had the association of triad.Conclusions: Investigating these three factors in patients with RPL would help in early recognition, monitoring, and aggressive surveillance, which will help prevent obstetric complications. Simple nutritional correction may allow for better maternal and fetal programming and appropriate risk modulation.

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