044 Durable clinical efficacy of alemtuzumab in patients with active rrms in the absence of continuous treatment: 7-year follow-up of CARE-MS I patients (Topaz Study)
Bibliographic record
Abstract
Introduction In CARE-MS I ( NCT00530348 ), alemtuzumab 12 mg/day (baseline: 5 days; 12 months later: 3 days) improved clinical/MRI outcomes versus SC IFNB-1a over 2 years (y) in treatment-naive relapsing-remitting MS (RRMS) patients. Efficacy was durable in a 4-y extension ( NCT00930553 ; 95% enrolled, 92% completed), wherein patients could receive as-needed alemtuzumab retreatment for relapse/MRI activity or other disease-modifying therapies (DMTs) per investigator’s discretion. Patients completing the extension could enrol in the 5-y TOPAZ study ( NCT02255656 ) for further evaluation. Here we examine efficacy/safety through Y7 in alemtuzumab-treated patients from CARE-MS I. Methods In TOPAZ, patients can receive alemtuzumab retreatment (≥12 months apart) or other DMTs (both per investigator’s discretion). MRI scans are performed annually. Assessments: annualised relapse rate (ARR); stable/improved Expanded Disability Status Scale (EDSS) from core study baseline; 6 month confirmed disability worsening (CDW); 6 month confirmed disability improvement (CDI); no evidence of disease activity (NEDA); adverse events (AEs). Results 299/321 patients (93%) completed TOPAZ Y1 (Y7 after initiating alemtuzumab). ARR remained low (Y7: 0.13); 60% were relapse-free in Y3–7. The percentage of patients with stable/improved EDSS remained high (Y7: 78%). Through Y7, 74% were free from 6 month CDW, 37% achieved 6 month CDI, and the majority achieved NEDA each year (Y7: 61%). 59% received no additional treatment (alemtuzumab or other DMT) after the initial 2 courses. Overall AE incidence, infusion-associated reactions, and infections decreased over time. Thyroid AE incidence peaked in Y3 (15%) and then declined. Conclusion Alemtuzumab efficacy was maintained for 7 years in treatment-naive patients, despite 59% receiving no additional treatment since the initial 2 courses. 37% of patients also showed disability improvement. The alemtuzumab safety profile remained consistent; overall AE incidence decreased over time. Alemtuzumab may provide a unique treatment approach for RRMS patients, offering durable efficacy in the absence of continuous treatment. Study support Sanofi and Bayer HealthCare Pharmaceuticals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".