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Serum Albumin Level < 32 g/l on Day 30 Can Predicts Higher Risk of Non-Relapse Mortality in Acute Lymphoblastic Leukemia Following Allogeneic Stem Cell Transplantation

2014· article· en· W983430947 on OpenAlexaff
Feras Alfraih, Vikas Gupta, John Kuruvilla, Jeffrey H. Lipton, Hans A. Messner, Matthew D. Seftel, Jieun Uhm, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsLeukemia & Lymphoma Society of CanadaPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyHematopoietic stem cell transplantationAlbuminTransplantationAcute lymphocytic leukemiaSerum albuminLeukemiaSurgeryImmunologyLymphoblastic Leukemia

Abstract

fetched live from OpenAlex

Introduction: It is extremely significant issue to predict hematopoietic stem cell transplant (HSCT) outcomes using a biomarker. In this study, we attempted to evaluate the impact of post-transplant serum albumin on outcomes in patients with acute lymphoblastic leukemia (ALL). Methods: 123 patients with ALL receiving HSCTs between 1999 and 2012 at our center were evaluated for post-transplant serum albumin levels and their correlation with transplant's outcome. The level of serum albumin was retrospectively retrieved in certain time point ± 3 days for following periods: 1 month pre HSCT and then weekly after transplantation for first 3 months. 100 patients had available serum albumin levels. The ROC analyses were used to determine the most statistically significant cutoff level of serum albumin level correlating with NRM at 1 year. The ROC analysis suggested the level of 32 g/l at 4 weeks post HSCT as the best cutoff level for further analysis. Thus patients were stratified into low versus high albumin level group according to that cutoff level. Results: Median age for all patients is 37 (range 17-61), 35% were female and related donors were 57%. Matched donors were 83%. 71% were in 1st complete remission. 37% were Philadelphia chromosome positive. GVHD prophylaxis was CSA/MTX 60%, CSA/MMF 22%. Conditioning regimen was myeloablative in 95%. 61% received peripheral blood stem cells. With a median follow-up among survivors of 60 months (range 21-100), 61% patients showed albumin level ³ 32g/l at day 30 while 39% showed dropped albumin level <32 g/l at day 30. The OS rate at 2 years was 61% in high albumin group versus 23% in low albumin group (p < 0.001). The NRM rate was 62% in high albumin group versus 17% in low albumin group (p < 0.001). However, no difference of relapse incidence was noted between the two groups. The cumulative incidence of overall acute GVHD, grades 2/4, grades 3/4 at day 120 and overall chronic GVHD at 2 years was 67%, 59%, 16% and 45% in high albumin group versus 72%, 70%, 49% and 39% in low albumin group, suggesting higher incidence of grade 3/4 acute GVHD in low albumin group vs high. In multivariate analysis, serum albumin level < 32 g/l at 4 weeks was confirmed as an independent adverse risk factor for NRM (p=0.04, HR 2.81) together with acute GVHD grades 3/4 (p 0.01, HR 3.79) and chronic GVHD (p²0.001, HR 0.21). For OS, albumin level was not confirmed as an independent risk factor, but acute GVHD grade 3/4 (p< 0.001, HR 3.36) and chronic GVHD (p <0.001, HR 0.008) were found to be independent factors. For relapse chronic GVHD grade 3-4 was the only independent prognostic factor (p <0.001, HR 0.27). Conclusion: The present study suggested that 1) serum albumin level less than 32 g/l at day 30 can predicts higher risk of non-relapse mortality and 2) dropped serum albumin might be affected by in part the occurrence of severe acute GVHD, and by independent mechanism of gut GVHD. Further study is strongly warranted to confirm the prognostic role of serum albumin level on transplant outcomes in a prospectively designed study. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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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)0.002
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.017
GPT teacher head0.259
Teacher spread0.242 · 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
Published2014
Admission routes1
Has abstractyes

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