Ursodeoxycholic Acid and Atorvastatin in the Treatment of Nonalcoholic Steatohepatitis
Bibliographic record
Abstract
BACKGROUND/AIMS: Nonalcoholic steatohepatitis (NASH) is a serious disorder with the potential to gradually progress to cirrhosis. It is generally associated with obesity, diabetes and hyperlipidemia. Currently, there is no established therapy for NASH. The aim of the present study was to evaluate the effectiveness of atorvastatin and ursodeoxycholic acid (UDCA) in the treatment of NASH. METHODS: This prospective study included 44 adult patients (24 men, 20 women) with a mean age of 48.90+/-7.69 years and mean body mass index (BMI) of 29.40+/-3.82. Ten patients had a history of diabetes. Serological markers for viral hepatitis were negative in all patients and there was no history of alcohol or drug abuse. Patients who had autoimmune hepatitis were excluded from the study. Liver biopsy was performed before therapy to confirm the diagnosis. Among NASH patients, 17 normolipidemic cases received UDCA 13 to 15 mg/kg/day (group 1), while hyperlipidemic cases (n=27) received atorvastatin 10 mg/day (group 2) for six months. The BMI, serum lipids, liver function tests and liver density, assessed by computerized tomography, were evaluated before and after the treatment period. The BMI, serum aminotransferase levels, histological parameters (steatosis, inflammation, fibrosis scores) and liver densities were not statistically different between the groups at the beginning of therapy. RESULTS: The BMI, serum glucose, and triglyceride levels did not change in either group after the treatment period. In group 1, serum alanine aminotransferase (ALT) and gamma-glutamyl-transferase (GGT) levels reduced significantly, and in group 2, serum cholesterol, aspartate aminotransferase, ALT, alkaline phosphatase and GGT levels reduced significantly. Liver densities increased only in group 2, probably as a result of diminishing fat content of liver. The normalization of transaminases was also more prevalent in group 2. Liver steatosis was closely correlated with liver density, but inflammation and fibrosis were not. CONCLUSIONS: The use of atorvastatin in NASH patients with hyperlipidemia was found to be both effective and safe. The benefit of statin and UDCA therapy in normolipidemic patients with NASH requires confirmation with further placebo-controlled trials.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".