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Enregistrement 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 sur 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

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRetinoids in leukemia and cellular processes
Établissements canadiensSickKids FoundationPopulation Health Research InstituteHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésAcute promyelocytic leukemiaMedicineUnivariate analysisIncidence (geometry)PediatricsHematologyInternal medicineRetrospective cohort studyMultivariate analysisRetinoic acid

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,400
Score d'incertitude au seuil0,438

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,250
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2015
Routes d'admission2
Résumé présentoui

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