Changes suggestive of post‐partum thyroiditis in women with established hypothyroidism: incidence and predictors
Bibliographic record
Abstract
OBJECTIVE: Post-partum thyroiditis (PPT) is a common phenomenon in the general population. To date there have been few studies examining the incidence of PPT in women with hypothyroidism antedating pregnancy. This study aimed to assess the incidence and potential predictors of PPT in women with treated hypothyroidism antedating pregnancy. DESIGN: Retrospective cohort study. PATIENTS AND METHODS: We compiled a cohort of 97 women with previous hypothyroidism antedating pregnancy seen in the Endocrinology in Pregnancy clinic from 1999 to 2011, collecting data on thyroid function, antibodies and levothyroxine doses post-partum. The incidence of PPT and its predictors were analysed. RESULTS: A total of 66 (68%) women had fluctuations in thyroid function consistent with PPT. Of these, 22 (33%) had a hyperthyroid phase alone, 22 (33%) had a hypothyroid phase alone and 22 (33%) had both a hyper and hypo phase. The majority of women had their dose of thyroid medication adjusted during the PPT episode. Women who were on a full dose of thyroxine post-partum were significantly less likely to have a hypothyroid phase. In multivariable analysis, the only predictor of PPT was the presence of thyroid antibodies, with 83% of antibody positive women having PPT compared to 44% of antibody negative women (P = 0·0001). CONCLUSIONS: In our cohort, 2/3 of women had fluctuations in thyroid function consistent with PPT and most required adjustment of their thyroid dose. Women with hypothyroidism antedating pregnancy are at high risk for PPT and should be closely monitored during the first year post-partum.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".