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Infectious Complications in Advanced Relapsed/Refractory Multiple Myeloma Patients Treated with Lenalidomide (Revlimid +/- Corticosteroids).

2009· article· en· W2550950130 on OpenAlexaffabout
Vishal Kukreti, Esther Masih‐Khan, Saima Dean, Deepali Kumar, Joseph Mıkhael, Suzanne Trudel, Donna Reece, Christine Chen

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of AlbertaPrincess Margaret Cancer Centre
Fundersnot available
KeywordsLenalidomideMedicineNeutropeniaThalidomideMultiple myelomaInternal medicineSurgeryChemotherapy

Abstract

fetched live from OpenAlex

Abstract Abstract 2876 Poster Board II-852 Multiple myeloma (MM) patients (pts) are immunosuppressed given the underlying disease, previous treatments and myelosuppression seen on lenalidomide (Revlimid, Rev). We evaluated the infectious complications seen on Celgene's Expanded Access Rev program at Princess Margaret Hospital. We have treated 75 pts who had progressed after at least one prior therapy as part of a national study in Canada. At entry, pts were required to have a neutrophil count of ≥1.0 ×109/L. The median age was 61 yrs (range 35-79); 52% were males. Prior therapy included stem cell transplant in 65, thalidomide in 54 and bortezomib in 24. Number of lines of prior therapy were as follows: 24 (one), 29 (two), 16 (three), 8 (four) and one (five). Neupogen was used liberally (63%) after a patient had a dose delay on trial due to neutropenia. Patients were treated with full dose lenalidomide at entry onto clinical trial and were maintained on full dosing unless platelet counts were <30×109/L or ANC was <1.0×109/L. No other dose adjustments were made for renal dysfunction. Results: There were 32 pts (43%) who had a clinically evident infection; the majority (91%) was on prophylactic antibiotics (septra/ciprofloxacin) at the time. There were two deaths due to infection and 23 pts (72%) required hospitalization (range 2-27 days). The majority of infections occurred within the first 4 cycles of treatment (26 pts) and seemed to occur more in pts with several lines of prior therapy – 7/24 (29%) with 1 prior therapy, 14/29 (48%) with 2, 9/16 (56%) with 3 and 2/8 (25%) with 4 prior therapies. Sixteen were neutropenic of which 7 had febrile neutropenia (9%). The types of infections were: respiratory in 14 (1 with pneumocystis pneumonia), cellulitis in 4, herpes simplex and herpes zoster in 2 pts each. These included streptococcus pneumoniae (1), staphylococcus aureus (3), respiratory syncitial virus (1) and mycobacterium chelonae (1). Rev was held during the infection in 23 pts (72%). Conclusions: 1) Infections are frequent in this patient population (43%) and often lead to hospitalization (72%); respiratory infections accounted for a large majority (43%). 2) Early aggressive growth factor support and broader antibiotic prophylaxis may be of benefit especially in heavily pretreated patients. 3) Dose reduction of Rev in the context of serious infections should be further evaluated. Disclosures: Kukreti: Celgene: Honoraria. Trudel:Celgene: Honoraria, Speakers Bureau; Ortho Biotech: Honoraria. Chen:Celgene: Honoraria.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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
Published2009
Admission routes2
Has abstractyes

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