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Record W2590481202 · doi:10.1182/blood.v112.11.351.351

Decreased Infections in Recipients of Unrelated Donor (URD Hematopoietic Cell Transplantation (HCT) from Donors with An Activating KIR B Genotype (B/x)

2008· article· en· W2590481202 on OpenAlexaff
Marcie Tomblyn, Jo‐Anne H. Young, Michael Haagenson, John P. Klein, Jan Storek, Stephen R. Spellman, Sarah Cooley, Daniel J. Weisdorf, Jeffrey S. Miller

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGenotypeTransplantationMedicineImmunologyInternal medicineHematopoietic stem cell transplantationGenotypingIncidence (geometry)LeukemiaCumulative incidenceGastroenterologyBiologyGenetics

Abstract

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Abstract In URD allogeneic HCT, donor, not recipient, KIR B/x genotype improves leukemia free survival. Decreased rates of CMV reactivation occur in renal transplant recipients with KIR B/x genotypes. We hypothesized that recipients of cells from a KIR B/x genotypic URD will have decreased infectious complications due to enhanced NK cell function. The National Marrow Donor Program (NMDP) prospectively collected data oninfectious complications at 2 week intervals beginning with conditioning until day 100 and then monthly until day 180 after URD HCT for malignant and nonmalignant diseases at 27 centers (n = 211). A subset of these donors (n = 116) had samples available through the NMDP Research Repository for KIR genotyping (A/A: n = 44; B/x: n = 72). The two cohorts had similar characteristics including age, gender, Karnofsky score, disease and disease status, degree of HLA matching, conditioning intensity, graft type, and donor/recipient CMV match and sex match. Infections were characterized as clinical infectious syndromes if no organism was identified or bacterial, fungal, or viral based on the causative organism. Bacterial infections were significantly lower for recipients of a B/x genotypic donor compared to the A/A genotype [68% (57 – 78) vs 86% (75 – 95); p = 0.02]. The cumulative incidence of other infection types was similar between the groups. A Poisson regression model estimated the expected number of infections for a patient observed up until day 180 and determined characteristics associated with specific infections. Donor KIR genotype was considered in every model. Other factors analyzed included patient and donor age, donor/recipient CMV and sex match, disease (leukemia/MDS vs other), disease status, HLA match (well matched vs partially matched vs mismatched), GVHD prophylaxis (CSA/FK based vs other), and graft type. The mean estimated number of infections per patient was as follows: bacterial, 1.138; viral, 0.58; fungal, 0.764; clinical infectious syndromes, 0.506; and total infections, 6.306. Based on these models, a B/x donor was associated with a statistically lower mean ratio of total infections [B/x = 1.00 vs A/A = 1.23 (1.02 – 1.49), p = 0.03] and bacterial infections [B/x = 1.00 vs A/A = 1.50 (1.16 – 1.94), p = 0.002] compared to recipients of an A/A donor. The table shows the other factors associated with total infections and bacterial infections. The use of an A/A donor was associated with a lower mean ratio of fungal infections [B/x = 1.00 vs A/A= 0.40 (0.17 – 0.92), p = 0.03] but similar ratios of viral and clinical infectious syndromes. Multivariate analysis found a similar relative risk of aGVHD II – IV, cGVHD, and survival regardless of donor KIR genotype. The role of donor KIR genotype on post HCT infectious complications is intriguing and warrants further study in larger populations of patients with uniform antimicrobial prophylaxis to better assess clinical impact. Variable Total Infections Bacterial Infections Ratio of Mean number of infections (95% CI) p-value Ratio of Mean number of infections (95% CI) p-value KIR Genotype A/A 1.23 (1.02 – 1.49) 0.03 1.50 (1.16 – 1.94) 0.002 B/x 1.00 1.00 Patient Age, yrs <0.0001 0.004 <10 0.44 (0.34 – 0.88) 0.01 0.60 (0.32 – 1.15) 0.13 10 – 19 1.23 (0.9 – 1.69) 0.20 1.36 (0.85 – 2.16) 0.20 20 – 29 0.57 (0.42 – 0.77) 0.0003 0.50 (0.33 – 0.78) 0.002 30 – 39 1.05 (0.81 – 1.37) 0.71 0.91 (0.64 – 1.30) 0.61 40 – 49 0.69 (0.51 – 0.94) 0.02 0.84 (0.55 – 1.28) 0.42 >50 1.00 1.00 D/R sex match 0.0001 0.009 F/F 1.00 1.00 F/M 1.28 (0.95 – 1.72) 0.10 1.22 (0.81 – 1.83) 0.34 M/F 0.84 (0.60 – 1.17) 0.30 0.76 (0.48 – 1.20) 0.24 M/M 1.50 (1.14 – 1.97) 0.004 1.40 (0.97 – 2.04) 0.07 D/R CMV match <0.0001 0.03 N/N 0.79 (0.56 – 1.12) 0.18 0.90 (0.59 – 1.37) 0.62 N/P 1.65 (1.25 – 2.18) 0.0004 1.31 (0.90 – 1.90) 0.16 P/N higher 0.84 (0.61 – 1.16) 0.29 0.76 (0.49 – 1.16) 0.20 P/P 1.00 1.00 Disease status 0.0008 0.0003 Early 1.14 (0.87 – 1.48) 0.34 1.51 (1.04 – 2.18) 0.03 Intermediate 0.68 (0.51 – 0.91) 0.01 0.61 (0.40 – 0.92) 0.02 Advanced 1.23 (0.95 – 1.60) 0.13 1.36 (0.96 – 1.93) 0.09 Other 1.00 1.00 Donor Age, yrs 0.022 - 20 – 29 0.64 (0.46 – 0.88) 0.006 - 30 – 39 0.80 (0.58 – 1.09) 0.16 - 40 – 49 0.89 (0.63 – 1.24) 0.48 - >50 1.00 - HLA Match <0.0001 Well matched - 1.00 Partially matched - 1.54 (1.15 – 2.07) 0.004 Mismatched - 2.87 (2.02 – 4.05) <0.0001 GVHD Prophylaxis - CSA/FK based - 1.84 (1.30 – 2.60) 0.0005 Other - 1.00

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)0.002
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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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Citations4
Published2008
Admission routes1
Has abstractyes

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