A221 A RETROSPECTIVE ANALYSIS OF PATIENTS WITH BIOPSY PROVEN NASH IN AN URBAN CENTRE.
Bibliographic record
Abstract
Fatty Liver Disease (FLD) has become the most common liver disease in Canada with at least 25% of the population afflicted. With that number on the rise, the need for non-invasive tools for diagnosis and management has become vital. We sought to gain a better understanding of the population of patients affected with FLD in order to better understanding of the burden of disease on the community. We also compared liver fibrosis diagnosed via liver biopsy to those diagnosed with fibroscan (liver stiffness). 67 patients who had undergone a Liver Biopsy for confirmative diagnosis of NASH (non-alcoholic steatohepatitis) and staging of liver fibrosis. All Liver biopsies with were conducted at one facility and interpreted by a liver pathologist. Fibroscan tests were conducted at a separate facility and liver stiffness was measured in kilopascals. Data was collected and retrospectively analysed for: patient demographics, fibroscan values, and Liver Biopsy report. Only patients with NAS≥2 (NASH Activity Score) were included in the study. The primary reason for referral for all 67 patients was an elevated ALT discovered by family physicians. Of the 67, 41 males, and 26 females. Mean age for males was 48.39, and females 52.46. Of the 67 patients studied, 65 underwent both a fibroscan and biopsy with a mean time of 161.46 days in between the two tests. Fibroscan: Mean LS was 11.60kPa, with 11.60kPa, and 11.30kPa for males and females, respectively. (Table 2 for gender breakdown). 39 of the 67 patients underwent serial fibroscans. Liver Biopsy: 6 of 7 patients with NAS=2 had significant fibrosis by Brunt. NAS score correlated to LS with P-value of 0.021. Only 2 patients underwent serial liver biopsies. (Refer to Table 1 for fibrosis stages by Brunt.) Based on our study cohort, more males at a younger age were effected by NASH. A discrepancy was found between fibrosis staging by fibroscan vs. biopsy. Meanwhile, NAS score strongly correlated to LS suggesting that LS proves to be a useful non-invasive tool to diagnose and monitor patients with NASH. Fibrosis Staging by Liver Stiffness (kPa) vs Fibrosis (Brunt/4). Figure 1: Assessment of Fibrosis by Liver Stiffness (kPa) vs. NASH Activity Score (NAS). None
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".