An innovative method to better understand thyroid function changes: longitudinal trajectories of gestational thyroid function

Nikku Yadav; Asha Chandola-Saklani; Abhinav Bahuguna

doi:10.1530/endoabs.101.PS2-18-07

PS2-18-07

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Endocrine Abstracts (2024) 101 PS2-18-07 | DOI: 10.1530/endoabs.101.PS2-18-07

ETA2024 Poster Presentations Pregnancy (10 abstracts)

An innovative method to better understand thyroid function changes: longitudinal trajectories of gestational thyroid function

Nikku Yadav ¹ , Asha Chandola-Saklani ² & Abhinav Bahuguna ³

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Author affiliations

¹Swami Rama Himalayan University, Jolly Grant Dehradun, India-248016, Clinical Research Under Department of Community Medicine, Himalayan Institute of Medical Sciences, Dehradhun, India; ²Swami Rama Himalayan University, Jolly Grant Dehradun, India-248016, Clinical Research Under Department of Community Medicine, Himalayan Institute of Medical Sciences, India; ³Swami Rama Himalayan University, Jolly Grant Dehradun, India-248016, Department of Biostatistics, Himalayan Institute of Medical Sciences, India

Background: Pregnancy causes significant changes in regulation of the hypothalamus-pituitary-thyroid (HPT) hub and extrathyroidal thyroid chemical digestion. Thus, after effects of thyroid capability tests contrast in pregnant ladies contrasted and nonpregnant ladies, and trimester-explicit reference scopes of TSH and free T4 (fT4) have been proposed. Most studies of thyroid function changes during pregnancy use a cross-sectional design comparing means between groups rather than similarities within groups. A unique method for examining longitudinal changes that offer a dynamic knowledge of the connection between thyroid status and progressing pregnancy is latent class growth analysis (LCGA).

Objective: To examine the longitudinal changes that offer a dynamic knowledge of the connection between thyroid status and progressing pregnancy using latent class growth analysis, or LCGA.

Design: Prospective observational study with repeated assessments.

Setting: General community in collaboration of Health directorate, Govt of Haryana India

Subjects: Three hundred seven healthy pregnant women were included at 10 weeks’ gestation. Main Outcome Measures: The presence of both free T4 (FT4) and TSH trajectories throughout pregnancy determined by LCGA.

Results: When taking into account the effect of age as a predictor variable, the results obtained from LGCA analyses a considerable fluctuation in TSH, FT4, and UIE levels with time. The foundation of these methods is structural equation modeling. A negative covariance (m=-0.802) is seen for TSH between the slope and the intercept, indicating that a higher baseline TSH value will result in a slower rate of growth in trimesters over time. Comparably, for FT4, a negative covariance (m=-0.747) is found between the intercept and slope; for each successive length, this covariance is predicted to drop by 3.72 points (from a baseline value of 24.35). The projected trimester for UIE is anticipated to drop by 3.81 points from a baseline value of 130.36, following a similar pattern. Additionally, there is a negative covariance for UIE.

Conclusion: Unique trajectories of longitudinal variations in women’s TSH, FT4, and UIE levels throughout pregnancy were shown by LCGA. These trajectories were associated with parity and showed patterns that may indicate that multiparous and multiparous women.

Research facility from Swami Rama Himalayan University & Apeejay Stya University are gratefully acknowledged