Long-term outcomes of elosulfase alfa enzyme replacement therapy in adults with MPS IVA: a sub-analysis of the Morquio A Registry Study (MARS)
Bibliographic record
Abstract
Abstract Background Mucopolysaccharidosis (MPS) IVA is a rare disease with substantial, multisystemic morbidity. We assessed real-world safety and effectiveness of the enzyme replacement therapy (ERT) elosulfase alfa in patients with MPS IVA in the multinational, observational Morquio A Registry Study (MARS) who initiated ERT in adulthood (aged ≥ 18 years). Methods Patients were enrolled between September 2014 and February 2022; urinary keratan sulfate (uKS), 6-minute walk test (6MWT) distance, forced expiratory volume in 1 s (FEV 1 ), forced vital capacity (FVC), EuroQoL-5D-5L (EQ-5D-5L) score, and safety were assessed during routine care. Results As of February 13, 2022, 90 patients who initiated ERT had enrolled (median exposure: 5.6 years; median age at first ERT: 27.8 years). Reductions from baseline in uKS levels were sustained over mean follow-up of 5.4 years (mean percent change: -52.9%; p < 0.0001). In patients with available data, mean change in 6MWT distance was + 15.8 m ( p = 0.3627) over a mean follow-up of 5.8 years. FEV 1 and FVC remained stable over mean follow-up of 5.3 years (mean change: 0.0 L for both). The mean change from baseline in EQ-5D-5L index score was + 0.1 after 1 year of treatment. Thirty-four patients (39.5%) had ≥ 1 adverse event (AE), 23 patients (26.7%) had ≥ 1 serious AE, and 10 (11.6%) had ≥ 1 drug-related AE (infusion-related reactions [ n = 3; 3.5%], pyrexia [ n = 2; 2.3%]). Eight deaths occurred; none were deemed treatment related. Conclusions Real-world data collected from MARS suggest that patients with MPS IVA who initiated ERT in adulthood remained stable over 7 years of follow-up. No new safety signals were identified.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".