Hypothalamic-pituitary-thyroid system activity during lithium augmentation therapy in patients with unipolar major depression
Bibliographic record
Abstract
OBJECTIVE: Lithium augmentation is an established strategy in the treatment of refractory depression, but little is known about predictors of response and its mode of action. There is increasing evidence that low thyroid function indices within the normal range are associated with a poorer treatment response to antidepressants, but previous studies on the hypothalamic-pituitary-thyroid (HPT) system during lithium augmentation provide inconclusive results and have methodological limitations. This study aimed at exploring the role of thyroid function in lithium augmentation and used a prospective design that included a homogeneous sample of inpatients with unipolar major depressive disorder. METHODS: In 24 euthyroid patients with a major depressive episode who had not responded to antidepressant monotherapy of at least 4 weeks, we measured serum thyroid-stimulating hormone (TSH), total triiodothyronine (T3) and total thyroxine (T4) before (baseline) and during lithium augmentation therapy (follow-up). The time point of the endocrinological follow-up depended on the status of response, which was assessed weekly with the Hamilton Depression Rating Scale, 17-item version (HDRS17). Responders were reassessed immediately after response was determined, and non-responders after 4 weeks of lithium augmentation. RESULTS: There was a statistically significant change in thyroid system activity during lithium augmentation, with an increase of TSH levels and a decrease of peripheral T3 and T4 levels. However, there were no differences in any of the HPT hormones between responders and non-responders at baseline or at follow-up. CONCLUSIONS: The decrease of thyroid system activity during lithium treatment reflects the well-established "antithyroid" properties of lithium. However, it appears that thyroid status does not predict response to lithium augmentation in euthyroid patients before treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".