Combination vardenifil and tadalifil drug induced liver injury; case report and review of the literature of liver injury associated with phosphodiesterase type 5 inhibitors
Bibliographic record
Abstract
Background: Phosphodiesterase type 5 inhibitors (PDE5I) are prescribed for erectile dysfunction and pulmonary hypertension. Despite its widespread use, there are only seven cases of drug-induced liver injury (DILI) associated with PDE5I, none associated with vardenafil or avanafil. We report a patient who had taken vardenafil and tadalafil individually for several years without developing symptoms of liver injury. However, after taking vardenafil and tadalafil together on 2 consecutive days, he developed severe cholestasis. Methods: Causality was determined using Roussel Uclaf causality assessment method (RUCAM). Results: The patient is a 72-year-old White man in excellent health who drank 2 units of alcohol, three times/week. Previously, he had used vardenafil for more than 2 years and tadalafil for 3 months as single agent for erectile dysfunction without any complications. He took vardenafil and tadalafil for 2 consecutive days and 5 days later, he developed dyspepsia, loss of appetite, jaundice, and intense itching. Liver tests showed mixed cholestatic/hepatocellular pattern of injury. Histology showed marked cholestasis with minimal inflammation. He remained cholestatic for 5 weeks before a full recovery 2 months later. The patient then resumed vardenafil monotherapy with no recurrent liver dysfunction. RUCAM causality score 7 indicates that the combination of PDE5I is probable cause of liver injury. The similarities among the eight cases of PDE5I DILI include a relatively short latency, cholestatic histological features, and complete recovery. Biochemical pattern of liver injury is variable. Conclusions: PDE5I DILI is a rare event that can result in severe acute liver injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 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".