Cardiac Amyloidosis Patient With Cardiac Conduction Disturbances
Bibliographic record
Abstract
Transthyretin cardiac amyloidosis (ATTR-CA) has recently been diagnosed more because of advances in diagnostic techniques, such as 99m Tc-labeled pyrophosphate ( 99m Tc-PYP) scintigraphy. ATTR-CA remains poorly diagnosed by many physicians, except for cardiologists and neurologists, and by patients. In this manuscript, we present a patient who was recommended to undergo a close examination but developed cardiac conduction disturbances and defects due to delays in the examination and treatment initiation. The patient was a 72-year-old Japanese man treated for hypertension at our hospital for approximately 30 years. The patient was diagnosed with left ventricular hypertrophy at 62 years old and hospitalized for heart failure at 68 years old. ATTR-CA was suspected by 99m Tc-PYP scintigraphy performed at 70 years old, and a skin biopsy was performed. However, the skin biopsy did not confirm the diagnosis, and myocardial biopsy was recommended, which was declined by the patient. He finally consented to myocardial biopsy 2 years later, leading to the diagnosis of ATTR-CA at 72 years old. However, the patient had atrial fibrillation and a complete atrioventricular block. If ATTR-CA were widely recognized and understood, it might have been diagnosed and treated before the cardiac conduction disturbances appeared. It is essential to have an understanding and appropriate examinations for ATTR-CA based on sufficient explanation and consent. J Clin Med Res. 2023;15(10-11):456-460 doi: https://doi.org/10.14740/jocmr5051
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".