Minocycline- and Tetracycline-Induced Hypertriglyceridemia in an HIV-Seropositive Patient Receiving Combination Antiretroviral Therapy
Bibliographic record
Abstract
BACKGROUND: Acne vulgaris may occur as part of immune reconstitution in human immunodeficiency virus (HIV)-seropositive patients on highly active antiretroviral therapy (HAART). Tetracyclines are a common acne treatment. Hypertriglyceridemia has not been reported as a side effect of this drug class. OBJECTIVE: We report a case of an HIV-seropositive man on HAART (CD4 count 450 cells/microL) who developed isolated hypertriglyceridemia (> 13 mmol/L) after three separate challenges with minocycline or tetracycline, improving each time therapy was discontinued. RESULTS: Based on a review of the literature, this is the first reported case of hypertriglyceridemia with minocycline or tetracycline therapy. No published reports have examined the safety of tetracyclines in the setting of HIV or HAART. CONCLUSION: A strong temporal association between tetracycline use and hypertriglyceridemia was found without an alternate explanation for the observed lipid profile. Given the common use of tetracyclines in dermatology, we feel that this is an important observation to report.
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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 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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".