Early Changes in Hepatitis C Virus (HCV) RNA Levels Predict Response to Interferon Treatment in Non-Cirrhotic HCV Patients
Bibliographic record
Abstract
UNLABELLED: The role of hepatitis C virus (HCV) RNA quantification in determining ideal interferon (IFN) treatment of noncirrhotic HCV liver disease is uncertain. The specific aim of this study was to determine whether measurement of baseline HCV RNA or changes in HCV RNA levels (DHCV RNA) early during therapy predict response to IFN alpha in noncirrhotic HCV patients. PATIENTS AND METHODS: Twenty-one noncirrhotic patients with chronic HCV were treated with 3 MU IFN alpha-2a three times per week. HCV RNA levels were determined at baseline and after two, four, six, eight and 12 weeks of treatment. Baseline HCV RNA and DHCV RNA during therapy were compared with treatment response results at six months. Data were expressed as mean +/- SE, and differences were assessed using Student's t test. RESULTS: Twenty-one patients initiated IFN alpha therapy. Two patients were noncompliant and lost to follow-up. One patient discontinued IFN alpha due to side effects. Apart from age, where responders tended to be younger than nonresponders, the baseline clinical characteristics and alanine aminotransferase (ALT), aspartate aminotransferase, bilirubin and HCV RNA levels did not differ between IFN alpha responders and nonresponders. Levels of HCV RNA were significantly lower after both two and four weeks of therapy in IFN alpha responders compared with nonresponders (P<0.001). Changes in log HCV RNA levels after both two and four weeks of therapy were significantly greater in IFN alpha responders compared with nonresponders (P<0.001). Changes in log HCV RNA of more than 1.0 after two weeks of IFN alpha therapy identified all six-month responders, with a sensitivity of 100% and a specificity of 89%. Potential financial impact of these findings on patients' management was also calculated. Decisions regarding discontinuation of therapy based on early changes in HCV RNA levels would result in a 40% to 50% reduction in IFN alpha cost. CONCLUSIONS: In noncirrhotic HCV patients, the change in quantitative HCV RNA after the first two weeks of IFN alpha therapy identifies responders. This finding would result in a 40% to 50% cost savings if decisions about continuing IFN alpha were based on early changes in HCV RNA levels rather than ALT or HCV RNA assessment after the completion of three months of IFN alpha treatment.
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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) | 0.000 | 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 | 0.000 |
| 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".