Conversion From Hypothyroidism to Hyperthyroidism and Back After Anti-SARS-CoV-2 Vaccination
Bibliographic record
Abstract
Cases presenting with changes in various organs caused by anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination are rare. In particular, after such instances of vaccination, onset of subacute thyroiditis, Hashimoto thyroiditis, and Graves’ disease was observed. We present the case of a 55-year-old woman whose hypothyroidism converted to hyperthyroidism after vaccination with Gam-COVID-Vac (Sputnik V). After the first dose of vaccine, a hormonal metabolism alteration was noted, i.e., conversion from hypothyroidism to euthyroidism. After the second dose of vaccine, onset of hyperthyroidism with thyrotoxicosis was noted without signs of subacute thyroiditis. Hyperthyroidism persisted for several weeks before reverting to hypothyroidism. Assessments did not reveal an increase in the patient’s thyroid-stimulating hormone receptor antibody levels throughout the indicated period. However, after hyperthyroidism reverted to hypothyroidism, a significant increase in the peak systolic velocity of the superior thyroid arteries was observed, which is characteristic of hyperthyroidism. Owing to the known involvement of the autonomic nervous system (ANS) in blood vessel tone regulation, thyroid hormonogenesis, and stress, the ANS-mediated conversion from hypothyroidism to hyperthyroidism in certain individuals after receiving a vaccine, which may serve as a sufficient stimulus for ANS nerve centers, is highly probable. Therefore, diagnostic assessment of ANS condition should be performed before vaccination in patients with chronic thyroid disorders or diseases of other organs or organ systems. If changes in ANS are found, providing preemptive treatment before vaccination is recommended. J Endocrinol Metab. 2022;12(6):202-208 doi: https://doi.org/10.14740/jem833
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".