Cryptic evidence on underreporting of mRNA vaccine-induced cardiomyositis in the elderly: a need to modify antihypertensive therapy
Bibliographic record
Abstract
BACKGROUND Cardiomyositis has been considered a rare complication of COVID-19 vaccination that primarily affects young people. However, recent studies indicate under-reporting of cases in the elderly. Furthermore, post-mortem studies of five cases (median age 58) that died suddenly within 7 days of vaccination, indicate an autoimmune element. Albeit an individual case history, the author’s unexpected personal evidence supports the latter studies. METHODS Readings of blood pressure (BP) and pulse were taken twice daily. FINDINGS Seven days after the fifth of a series of anti-COVID-19 vaccinations, a “stress test” (15 min jog) in an elderly subject exposed a cardiac problem – arrhythmia and a rapid fall of BP with slow recovery. The timing suggested myocarditis as a post-vaccination _early_ side-effect that usually targets those more likely to exercise (i.e., the young). Thus, it is usually cryptic in the elderly. In addition, retrospective studies of his own BP readings during the vaccination period (2021-2023) revealed the sudden emergence of transient, but prolonged, falls of BP _several weeks_ after each of his last four vaccinations. These hypotensive episodes were cryptic (asymptomatic) and likely not detected in shorter post-vaccination analyses. INTERPRETATION Short-term post-vaccination side effects are distinct from those occurring after some weeks. The first category includes systemic or localized inflammatory responses that, in the case of the heart, might either trigger arrythmia and acute functional impairment, or remain cryptic. Localized responses could initiate tissue damage, culminating weeks later in the second category – asymptomatic but measurable functional impairment. Continuing regular dosages of antihypertensive medication during this period would likely intensify the hypotension. That this did not occur in the author’s case is attributed to his two-decade-long practice of modulating dosage daily, based on BP readings. Failure to follow this protocol might explain some sudden home deaths. A parallel is drawn with his previous study that showed the need to modify antihypertensive therapy in response to external temperature changes.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".