MétaCan
Menu
Back to cohort
Record W4417019669 · doi:10.1182/blood-2025-4596

Real-world incidence and management of non-icans neurologic events following ciltacabtagene autoleucel in multiple myeloma

2025· article· en· W4417019669 on OpenAlexaff
Doris K. Hansen, Omar Castañeda Puglianini, Ariel Grajales‐Cruz, Saurabh Nagar, Lin Fan, Victoria R. Alegria, Kevin C. De Braganca, Tamar Lengil, Mukta Sharma, H. C. Pai, Matthew Perciavalle, Jessica Maitland, Bruno Émond, Todd Bixby, Zaina P. Qureshi, Murali Janakiram

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsGroup for Research in Decision AnalysisInnovative Research Group (Canada)
Fundersnot available
KeywordsIncidence (geometry)Multiple myelomaLenalidomideMedical recordCohortRetrospective cohort studyInterim analysisChartMedical diagnosis

Abstract

fetched live from OpenAlex

Abstract Introduction: Ciltacabtagene autoleucel (cilta-cel) is an established effective treatment strategy for relapsed/refractory multiple myeloma in fifth line or later (5L+) and was recently approved for patients who have received ≥1 prior line of therapy. Although rare, non-immune effector cell-associated neurotoxicity syndrome (ICANS) neurologic events (NEs), including cranial nerve palsy (CNP), parkinsonism, and Guillain-Barré syndrome, may occur post-infusion. This study evaluated the incidence, clinical characteristics, and management strategies of non-ICANS NEs to inform patient care. Methods: This retrospective cohort analysis utilized Loopback Analytics electronic medical records (Feb 2017–May 2025) supplemented with physician chart notes from academic and community centers across the US. Adults treated with cilta-cel in second to fourth line (2L–4L) and 5L+ settings were included if they had ≥1 absolute lymphocyte count (ALC) test within 30 days pre- and post-infusion. Incident non-ICANS NEs were defined as ≥2 ICD-10 diagnoses of the same condition on distinct days within 30 days of each other. Non-ICANS NEs were further verified through manual chart review using unstructured data elements from patient charts to ensure clinical accuracy. Pre-lymphodepletion ALC (x 103/μL; i.e., closest value to cilta-cel infusion),post-infusion peak ALC (x 103/μL), and management strategies for non-ICANS NEs were described along with cilta-cel response and mortality. Interim results are presented; data collection is ongoing with updated analyses planned for additional patients. Results: Among 174 patients (2L–4L cilta-cel: 73; 5L+ cilta-cel: 101), median age was 64 years (range: 37-83 years). With a median follow-up of 6.1 months (2L–4L; range: 0.2-13.3) and 17.2 months (5L+; range: 1.1-33.0), non-ICANS NEs remained rare. CNP occurred in 4 (5.5%) patients in the 2L–4L cohort and 3 (3.0%) in the 5L+ cohort. Parkinsonism and Guillain-Barré syndrome were each reported in 1 patient, both in the 5L+ cohort, with no cases observed in 2L–4L. Among patients without non-ICANS NEs, the median post-infusion peak ALC was 2.1 in the 2L–4L cohort and 2.0 in the 5L+ cohort. In the 2L–4L cohort, 4 CNP cases occurred at a median of 29 days post-infusion. Median pre-lymphodepletion ALC was 0.10, while post-infusion peak ALC was 7.6 (range: 1.2-16.8; median day 11 post-infusion). Management included prednisone and valacyclovir. Over a median follow-up of 6.7 months, 3 (75.0%) patients showed improvement in CNP (median 15 days), and 1 (25.0%) patient experienced full resolution by day 62. In the 5L+ cohort, 3 CNP cases occurred at a median of 25 days post-infusion. Median pre-lymphodepletion ALC was 0.10, and post-infusion peak ALC was 8.8 (range: 8.3-26.9; median day 11 post-infusion). Management reported for one 5L+ CNP patient resulting in full resolution of CNP included prednisone, dexamethasone, and valacyclovir; data on CNP improvement wasn't documented for the remaining two patients in the medical charts. Over a median follow-up of 7.9 months, all 3 patients achieved a complete response to cilta-cel. The one case of parkinsonism in the 5L+ cohort occurred on day 46 post-infusion. Pre-lymphodepletion ALC was 0.60, with a post-infusion peak ALC of 14.5 on day 15. Management for parkinsonism included cyclophosphamide. The patient achieved complete response to cilta-cel within 15.5 months of follow-up. Data on neurologic symptom improvement wasn't documented for this patient in the medical charts. Finally, the case of Guillain-Barré syndrome in the 5L+ cohort occurred on day 105 post-infusion. Pre-lymphodepletion ALC was 0.04, with a post-infusion peak ALC of 8.8 on day 10. During the 15.7 month follow-up period, management included intravenous immunoglobulin and plasma exchange, and the patient achieved complete response post-cilta-cel. Data on neurologic symptom improvement wasn't documented for this patient in the medical charts. Conclusion: In this real-world cohort, CNP, parkinsonism, and Guillain-Barré syndrome cases were infrequent following cilta-cel infusion. Affected patients had higher post-infusion peak ALCs compared to those without non-ICANS NEs, suggesting peak ALC may serve as a potential biomarker for identifying patients at risk for NEs and guiding prophylactic and therapeutic strategies. Despite experiencing non-ICANS NEs, all patients with available response assessments responded to cilta-cel, and no deaths were reported.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.024
GPT teacher head0.320
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicCAR-T cell therapy researchFrench-language works237,207