DIFFERENCES IN SELF-REPORTED QUALITY OF LIFE AMONG PATIENTS WITH AUTOIMMUNE HEPATITIS AND PRIMARY BILIARY CHOLANGITIS DURING CANADA'S STATE OF EMERGENCY RESPONSE TO COVID-19
Bibliographic record
Abstract
Background: Between March 13th and March 22nd, 2020, a state of emergency (SoE) was declared across Canada due to transmission of COVID-19 We compare self-reported quality of life (QoL) changes between Autoimmune Hepatitis (AIH) and Primary Biliary Cholangitis (PBC) patients during the first 3 months of SoE Methods: Patients with an AIH or PBC diagnosis from the Canadian Network for Autoimmune Liver disease with completed QoL surveys between July 2019 and June 2020 were included in the analysis Surveys completed after March 17th, 2020 were categorized as during SoE, and data prior to February 1st, 2020 were categorized as before SoE Domain-specific QoL measurements included the Short-Form 36 (SF-36) and Itch Numeric Rating Scale (NRS) Multiple linear mixed effect regressions and estimated marginal means compared PBC and AIH scores before and during the SoE, adjusting for age at diagnosis, duration of disease, and site Results: Of the total 456 participants included in the analysis, 63 3% had PBC Participants included were from six liver clinics across Canada: Toronto (AIH= 131, PBC =186), Montreal (PBC = 39), Edmonton (AIH= 2, PBC = 24), Saskatchewan (AIH = 13, PBC =17), Ottawa (AIH = 8, PBC = 14), and Kingston (AIH = 12, PBC = 9) Females accounted for 86 2% (n=393) of the cohort, and 78 9% (n=360) of participants were Caucasian Medians for age at diagnosis and age at SoE were 49 2 years [IQR 37 8- 57 8] and 58 3 years [48 7-66 4], respectively AIH patients were on average 7 years younger than PBC patients There were 316 assessment completed before the SoE (65% PBC) and 185 during (62% PBC) There were no significant differences in estimated mean SF-36 Physical component between diseases across time (Pre: AIH= 40 9 vs PBC= 41 8, p =0 9 vs During: 43 1 vs 40 7, p=0 49) Similar findings were observed in the SF-36 Mental component pre-SoE (p=0 78) and post-SoE (p=0 9) Overall, QoL scores in AIH remained stable across time Both patients with AIH and PBC reported lower SF-36 scores compared to the general Canadian population (p<0 001) Longer disease duration and older age at diagnosis were associated with better SF-36 scores, regardless of SoE (p<0 001) Estimated mean NRS scores for PBC were significantly worse than AIH, both before SoE (AIH= 1 7 vs PBC=2 63, p<0 05) and during SoE (AIH = 2 26 vs PBC= 3 62, p<0 01) Conclusion: Physical and mental QoL components remain stable for both patients with AIH and PBC, and we observed expected differences in itch between diagnoses
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".