Statin-Induced Necrotizing Autoimmune Myositis
Bibliographic record
Abstract
Statins are the most frequently prescribed medications for primary and secondary prevention of atherosclerotic cardiovascular disease (ASCVD). The United States Preventative Services Task Force recommends that clinicians selectively offer a statin for the primary prevention of ASCVD for adults aged 40 - 75 years with one or more cardiovascular disease risk factors and an estimated 10-year risk of a cardiovascular event of 10% or greater. Despite their ubiquity, it is estimated that approximately 6-10% of patients remain intolerant due to muscle aches. Here, we present a case of a 71-year-old female that was taking atorvastatin for a year and presented to the emergency room with proximal muscle aches and weakness. Laboratory values were significant for an elevated creatinine kinase of 4,166 U/L (reference range, 20 - 180). Her magnetic resonance imaging was significant for edema in bilateral lower extremity proximal muscles. Serology revealed a high anti-3-hydroxy-3-methylglutaryl-coenzyme A reductase antibody, confirming the diagnosis of statin-induced necrotizing autoimmune myositis. A muscle biopsy of the right vastus lateralis revealed necrotic muscle fibers. During her hospital course, she was treated with intravenous methylprednisolone, mycophenolate mofetil, and tacrolimus. Her symptoms gradually improved, and she was discharged after 14 days with a rheumatology follow-up. This is an exceedingly rare complication of statin use and has only recently received increasing attention. Here we present our experience with this disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".