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Early Recovery of Absolute Lymphocyte Count (ALC) Is a Predictor of Long-Term Outcome Following Related Allogeneic Peripheral Blood Stem Cell Transplantation in Adults with AML/MDS.

2007· article· en· W2591845364 on OpenAlexaffabout
Gizelle Popradi, Dong Hwan Kim, John Kuruvilla, Vikas Gupta, Mark D. Minden, Jeffrey H. Lipton, Hans A. Messner

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineBusulfanTransplantationInternal medicineIncidence (geometry)Stem cellCohortCumulative incidenceHematopoietic stem cell transplantationLymphocyteDonor lymphocyte infusionTotal body irradiationSurgeryGastroenterologyCyclophosphamideChemotherapy

Abstract

fetched live from OpenAlex

Background: Early recovery of absolute lymphocyte count (ALC) is associated with improved outcomes following allogeneic and autologous stem cell transplantation for various hematological malignancies. The mechanism(s) underlying this observation is (are) unknown, but lymphocyte recovery may be a marker of immune reconstitution or graft-versus-leukemia activity. Objective: We assessed the incidence of early ALC recovery (defined as ALC ≥ 0.5 x 109/l by day+30) after peripheral blood stem cell transplantation (PBSCT) in recipients transplanted for AML or MDS and investigated its role as a potential prognostic marker for post PBSCT outcomes. Methods: We reviewed the cases of 110 consecutive patients who underwent first allogeneic PBSCT from related donors for a diagnosis of AML (n=92) or MDS (n=18) at the Princess Margaret Hospital (Toronto, Canada) between 2000 and 2007. All patients received related donor transplants (matched related, n=103; mismatched related, n=7) and were alive at day+30. The primary outcome measure was incidence of early ALC recovery at day +30 post PBSCT. Endpoints were overall survival (OS), non-relapse mortality (NRM) and relapse incidence (RI) after PBSCT according to day +30 ALC ≥ 0.5 x 109/l (high ALC group) or < 0.5 x 109/l (low ALC group). Results: The cohort included 51 women and 59 men. Median age at PBSCT was 51.7 years (range 18–71 years). Myeloablative conditioning (MAC) was employed in 65 (59%) patients (TBI based, n=62; Busulfan based, n=3), and 45 (41%) received reduced intensity conditioning (RIC). Median follow-up for survivors was 32 months. ALC ≥ 0.5 x 109/l by day+30 was reached by 72 patients (66%). There was no association between recipients’ gender, age at PBSCT or type of conditioning regimen and the probability of attaining ALC ≥ 0.5 x 109/l by day+30. Two-year OS in the entire cohort was 61%. Two-year OS of the high ALC group was superior to that of the low ALC group (72% vs. 40%, p=0.0003) (Figure 1A). The high ALC group also had significantly lower NRM (16% vs. 35%, p=0.005) (Figure 1B) and RI (21% vs. 42%, p=0.003) compared to the low ALC group (Figure 1C). No association between early ALC recovery and the incidences of acute or chronic graft-versus-host disease or incidence of CMV reactivation was observed. On multivariate analyses, low ALC at day +30 (ALC < 0.5 x 109/l) was an independent prognostic factor for inferior OS (p=0.02, HROS=2.27), higher RI (p= 0.01, HRRI=3.18), and higher NRM (p=0.03, HRNRM=2.1). Conclusion: In AML and MDS early lymphocyte recovery by day 30 is associated with improved OS. Failure to attain early ALC recovery may identify patients with higher risk of relapse and NRM after PBSCT. Figure 1. Comparison of transplant outcomes between groups with high and low ALC counts at day 30 in terms of survival (A), non-relapse (C). Figure 1. Comparison of transplant outcomes between groups with high and low ALC counts at day 30 in terms of survival (A), non-relapse (C).

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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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".

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Citations0
Published2007
Admission routes2
Has abstractyes

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