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Record W2560051287 · doi:10.1182/blood.v126.23.172.172

Predictors of Early Death in Childhood Acute Promyelocytic Leukemia: Results of an International Retrospective Study

2015· article· en· W2560051287 on OpenAlexaffabout
Oussama Abla, Raul C. Ribeiro, Anna Maria Testi, Pau Montesinos Fernández, Ursula Creutzig, Lillian Sung, Giancarlo Di Giuseppe, Derek Stephens, Henrik Hasle, Gertjan J.L. Kaspers, Luciano Dalla‐Pozza, Álvaro Lassaletta, Martin S. Tallman, Franco Locatelli, Dirk Reinhardt, Johann Hitzler, Miguel Á. Sanz

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsSickKids FoundationPopulation Health Research InstituteHospital for Sick Children
Fundersnot available
KeywordsAcute promyelocytic leukemiaMedicineUnivariate analysisIncidence (geometry)PediatricsHematologyInternal medicineRetrospective cohort studyMultivariate analysisRetinoic acid

Abstract

fetched live from OpenAlex

Abstract Background: Acute promyelocytic leukemia (APL) is a rare subtype of childhood acute myeloid leukemia (AML). Bleeding complications occur in 80% of patients at diagnosis and contribute to a higher incidence of early death (ED) in APL compared to other AML subtypes. However, estimates of ED in pediatric APL are imprecise and factors associated with ED in children with APL are unknown. Objectives: To determine the incidence and predictors of ED, defined as death within 60 days from presentation, in childhood APL. Methods: We conducted a retrospective international analysis of children diagnosed with APL between January 1993 and December 2013. The study included 236 patients from the Italian Associazione Italiana Ematologia/Oncologia Pediatrica(AIEOP) group, 148 from the Spanish Programa de Estudio y Tratamiento de las hemopatias Malignas (PETHEMA) group, 112 from the German Berlin-Frankfurt-Munster (BFM) group, 56 from Canadian pediatric centers, 25 from the Nordic Society of Paediatric Haematology/Oncology (NOPHO), 17 from the Dutch Children's Oncology group (DCOG), 14 from St. Jude Children's Research Hospital and 14 from the Australian and New Zealand Children's Hematology-Oncology Group (ANZCHOG). Factors examined included age, sex, ethnicity, body mass index, initial white blood cell (WBC)/peripheral blood (PB) blast and platelet (PLT) counts, initial coagulation parameters, microgranular variant (M3v), intracranial hemorrhage (ICH), time from hospital admission to first all-trans retinoic acid (ATRA) dose, induction treatment including ATRA, and steroid prophylaxis in high-risk patients. All patients had a molecular and/or cytogenetic diagnosis of APL. Univariate and multivariable binary logistic regression analyses were used to determine predictors of ED. Results: The study included 622 children with APL registered on, or treated as per, each group's clinical trial. Five hundred ninety-nine (96.3%) studies included patients registered on therapeutic trials whereas 23 (3.7%) were population based. Overall, the incidence of ED was at 5.6% (35/622) and ranged from 2.5% to 16%. In univariate logistic regression analysis, initial WBC and PB blast counts were predictive of ED, with odds ratios (OR) of 1.17 (95% confidence interval, CI:1.10-1.25, P < 0.001) and 1.24 (CI: 1.10-1.41, P = 0.001), respectively. M3v APL was an independent predictor of ED, with an OR of 3.72 (CI:1.65-8.35, P = 0.001). All other predictors were not statistically significant. Twenty-two/26 patients (84.6%) with ICH had ED as opposed to 9/571 (1.6%) who did not have ICH. Use of ATRA during induction was associated with a lower proportion of ED (4.3% compared to 38% without ATRA, OR = 0.07, CI:0.03-0.19, P<0.001), while the time interval from presentation to first ATRA dose was not predictive (OR = 1.00, CI:0.99-1.01, P = 0.8). WBC and M3v were included in a multivariable logistic regression, as they were the most clinically relevant and statistically significant univariate predictors of ED. Figure 1 illustrates ED probability plotted against WBC counts by APL subtype. Initial WBC was predictive of ED with an OR of 1.15 (CI:1.066-1.23, P < 0.001). There was a trend towards a higher incidence of ED in patients with M3v (OR = 2.18, CI:0.88-5.42, P = 0.093), although not statistically significant at the 5% level. Among 35 patients with ED, 33 occurred within the first 30 days from the start of induction and 2 between day 30 and 60 (due to infection). The most common cause of ED was ICH (n=20, 57.1%); two died before starting therapy. Other causes of ED were pulmonary hemorrhage (n=3), differentiation syndrome (n=3, all within the first 3 weeks of induction), infections (n=5, including the 2 deaths between day 30 and 60), renal failure (n=2), multi-organ failure (n=1) and cerebral thrombosis (n=1). Conclusions: In this largest international retrospective cohort study of ED in pediatric APL to date, we found that initial WBC was significantly associated with ED. APL patients with ICH had a significantly higher probability of ED. Novel measures to reduce hemorrhagic complications should be explored as a strategy to minimize ED in children with APL, especially in high-risk APL. Optimization of the management of coagulation disorders, as well as the use of arsenic trioxide during induction treatment, are expected to reduce the risk of ED in childhood APL. Figure 1. Estimated Probability of ED at WBC counts by APL subtype Figure 1. Estimated Probability of ED at WBC counts by APL subtype Disclosures Kaspers: Janssen-Cilag: Research Funding.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.400
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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 teacher head, 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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Citations2
Published2015
Admission routes2
Has abstractyes

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