Resolution of Sinus Tachycardia Secondary to Hyperthyroidism With Ivabradine
Bibliographic record
Abstract
Currently, ivabradine is not approved for the treatment of sinus tachycardia secondary to hyperthyroidism. We aimed to increase the recognition of ivabradine as an effective alternative to, or combination with, beta-blockers in controlling sinus tachycardia secondary to hyperthyroidism. Elevated thyroid hormone levels enhance cardiac performance through a positive chronotropic effect, resulting in an increased heart rate (HR), an effect brought on by increasing the I f funny current at sinoatrial node (SAN). Ivabradine is a novel, dose-dependent selective inhibitor of I f channels. By decreasing SAN pacemaker activity, ivabradine allows for selective reduction of HR with a resultant increase in ventricular filling time. This mechanism sets ivabradine apart from the typical rate-reducing medications, namely beta-blockers and calcium channel blockers, which simultaneously decrease HR and myocardial contractility. We describe a case of hyperthyroidism-induced sinus tachycardia, resistant to maximal doses of beta-blocker, which was successfully managed by ivabradine. After excluding other causes of tachycardia, such as anemia, hypovolemic states, structural heart disease, drug abuse, and infection, ivabradine was given off-label for symptomatic relief of hyperthyroidism-induced sinus tachycardia. Within 24 h, HR steadily decreased to the low 80s. Our patient had a unique presentation in which he presented with hyperthyroidism-induced sinus tachycardia with no relief after administration of maximal dose of beta-blocker. Ivabradine was then given, with resolution of sinus tachycardia within 24 h. J Clin Med Res. 2023;15(6):336-339 doi: https://doi.org/10.14740/jocmr4940
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.003 |
| 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".