Lecanemab Real‐World Use Perspectives from a New England Alzheimer’s Disease Infusion Center: A Retrospective Chart Review
Bibliographic record
Abstract
BACKGROUND: Lecanemab is a monoclonal antibody targeting neurotoxic Aβ protofibrils and plaques, which has been shown to significantly slow clinical decline in patients with early-stage Alzheimer's disease (AD). The purpose of this single-center, retrospective case series is to provide our real-world experience with the treatment of individuals with early AD treated with lecanemab. METHOD: Patients with a diagnosis of early AD who were treated with lecanemab at the Infusion Center of New England in Foxboro, Massachusetts were included in this case series. Data collection included patient demographic characteristics, clinical history, lecanemab treatment exposure, and from diagnosis to treatment. Assessments included Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) Test for Dementia, and safety measures. Clinician perspectives from our real-world experience with lecanemab and feedback from a patient survey were collected. Data were summarized descriptively. RESULT: A total of 35 patients with early AD were included in the data analysis (19 and 16 patients with 6-month follow-up MMSE and MoCA results, respectively; 7 patients with 12-month follow-up MMSE and MoCA results, respectively). Most of the patients were Caucasian (69%) and female (66%), with a mean age of 73 years. The most common diagnosis was mild AD (77%), and 63% of patients were ApoE4 carriers (46% heterozygotes; 17% homozygotes). 7 patients were initially on aducanumab and successfully transitioned to lecanemab. At 6 and 12 months, mean MMSE (baseline:23.2; 6-months:23.6; 12-months:24.4) and mean MoCA scores (baseline:17.4; 6-months:19.6; 12-months:20.6) were improved. The overall safety profile for lecanemab was similar to that observed in published clinical trials. One asymptomatic ARIA-E (5.7%) case, 2 asymptomatic ARIA-H (5.7%) cases, and 12 infusion-site reactions (34%) were observed. No new long-term safety signals were identified. 80% of survey responders reported feeling 'very satisfied' with lecanemab treatment and experiencing stabilization or slowing of disease progression on lecanemab. CONCLUSION: Findings from this case series provide real-world evidence of the lecanemab safety and tolerability profile consistent with clinical trials which demonstrated that lecanemab slowed disease progression in early-stage AD. To further characterize long-term health outcomes associated with lecanemab, future studies that track patients longitudinally in a real-world clinical setting are warranted.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".