Fatigue and health‐related quality of life in paroxysmal nocturnal haemoglobinuria: A post hoc analysis of the pegcetacoplan <scp>PEGASUS</scp> trial data
Bibliographic record
Abstract
OBJECTIVES: Paroxysmal nocturnal haemoglobinuria (PNH) is a rare, non-malignant haematological disorder associated with disabling fatigue and reduced health-related quality of life. Post hoc analysis of PEGASUS phase 3 trial (NCT03500549) characterised improvements in patient-reported fatigue measured by functional assessment of chronic illness therapy-fatigue (FACIT-fatigue) instrument item-level ratings for pegcetacoplan and eculizumab for the treatment of PNH. METHODS: Item-level responder analysis was conducted on a ≥2-level change from baseline (CFB) clinically important response (CIR) for the FACIT-fatigue 13 individual items rated on a 5-level Likert scale. We evaluated ≥2-level change against the minimal clinically important difference (MCID) of the FACIT-fatigue total score (≥5 points) and clinical parameters, haemoglobin (Hb; ≥1 g/dL) and normalised absolute reticulocyte count (ARC; 30-100 pg/cells). Logistic regressions estimated baseline-to-Week-16 FACIT-fatigue item-level transitional probabilities; Kaplan-Meier analysis estimated time to FACIT-fatigue item CIR. RESULTS: Pegcetacoplan versus eculizumab was associated with significantly greater odds of Week 16 CIR across 8/13 items and on total score MCID (OR [CI] = 11.19 [3.73, 33.57]) and faster times to responses. The item-level CIR threshold also showed clinical relevance on Hb level and ARC normalization. CONCLUSIONS: Compared with eculizumab, pegcetacoplan was associated with clinically meaningful greater improvements on a majority of FACIT-fatigue items.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".