Maternal Thyroid Hormone Changes and Preeclampsia Risk in Euthyroid Women

A large retrospective study investigates associations between FT4/TSH changes during pregnancy and preeclampsia risk. The research, authored by Jianxia Lin and last updated in May 2026, uses logistic regression and segmented regression models on data from women with normal thyroid function. Results show a J-shaped nonlinear association for TSH changes and a linear negative association for FT4 changes with preeclampsia risk.

Use Cases

• Modeling preeclampsia risk based on thyroid hormone level changes during pregnancy.
• Identifying threshold effects in TSH changes associated with adverse pregnancy outcomes.
• Calculating population-attributable risk for preeclampsia cases linked to specific thyroid function patterns.
• Comparing incidence of complications like preterm birth and low birth weight across thyroid function groups.

Strengths

• The study is large-scale and retrospective, providing substantial statistical power.
• Analysis includes sensitivity analyses to confirm the robustness of findings.
• Results provide specific thresholds (e.g., TSH change > 0.68 mIU/L) and adjusted odds ratios (e.g., aOR = 1.89).

Limitations

• The dataset is small at 31.7 KB, suggesting limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for detailed modeling.

Provenance

Source

figshare

Collection Method

Retrospective study using logistic regression and restricted cubic spline models.

Freshness

Last updated 2026-05-26 04:39:18