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Enregistrement W3095094264 · doi:10.1182/blood-2020-133778

Pediatric-Onset Evans Syndrome Is Associated with Broad Immunopathological Manifestations, High Treatment Burden and Mortality in Long-Term Follow-up

2020· article· en· W3095094264 sur OpenAlexaff
Thomas Pincez, Helder Fernandes, Thierry Leblanc, Gérard Michel, Vincent Barlogis, Yves Bertrand, Bénédicte Neven, Wadih Abou Chahla, Marlène Pasquet, Corinne Guitton, Aude Marie‐Cardine, Isabelle Pellier, Corinne Armari‐Alla, Joy Benadiba, Pascale Blouin, Éric Jeziorski, Frédéric Millot, Catherine Paillard, Caroline Thomas, Nathalie Cheikh, Sophie Bayard, Fanny Fouyssac, Christophe Piguet, Mariana Deparis, Claire Briandet, Éric Doré, Judith Landman‐Parker, Guy Leverger, Nathalie Aladjidi

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood groups and transfusion
Établissements canadiensUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Organismes subventionnairesnon disponible
Mots-clésCytopeniaMedicineEvans syndromePediatricsCohortProportional hazards modelProspective cohort studyInternal medicineAnemiaAutoimmune hemolytic anemiaBone marrow

Résumé

récupéré en direct d'OpenAlex

Introduction Pediatric-onset Evans syndrome (pES) is defined by the association between immune thrombocytopenic purpura (ITP) and autoimmune hemolytic anemia (AIHA) before the age of 18 years and may be associated to various immunopathological manifestations (IMs). No comprehensive study of this rare disease exists, and its long-term outcomes are poorly described. Methods Patients from the nationwide French prospective OBS'CEREVANCE cohort with pES and more than 5 years of follow-up were included (excepted pES secondary to bone marrow transplantation or primary immunodeficiencies known at the inclusion). All patients, including those with less than 5 years of follow-up, were included in survival analyses. Multivariate Cox proportional hazards model was used to analyze factors associated with time-dependent variables. Results Of the 216 patients with pES in the cohort, 151 (88 males and 63 females) were included with a median (min-max) follow-up time after first cytopenia diagnosis of 11.3 (5.1-38) years. Median age at final follow-up was 18.5 (6.8-50.0) years. The proportion of patients achieving a sustained complete response (i.e. persisting until final follow-up) increased after cytopenia onset (Fig. 1A). ITP and AIHA were in complete remission in 40.5% and 54.5%, 74.1% and 62.3%, and 78.4% and 86% of patients at 5, 10, and 15 years, respectively. Clinical IMs (cIMs) developed in 100/151 patients (66%), before the first diagnosis of cytopenia in 21/100 cases. The number of cIMs increased over time (Fig. 1B). The proportions of patients with one and more than one cIM were 50% and 14%, 57% and 19%, and 81% and 44% at 5, 10, and 15 years after the first cytopenia diagnosis, respectively. A broad spectrum of cIMs were present, lymphoproliferation (n = 71), dermatological (n = 26), gastrointestinal/hepatic (n = 23), and pneumological manifestations (n = 16) being the most common. Three patients had a hematological malignancy. Biological IMs (bIMs) were diagnosed in 101/151 patients (67%) and also increased over time, with hypogammaglobulinemia (n = 54) being the most common. Autoimmune neutropenia developed in 43 patients (28.5%) and was independently associated with the number of cIMs (hazard ratio [HR], 2.4; 95% confidence interval [CI], 1.5-3.8; p = 0.0002). Severe or recurrent infections were present in 53 patients (35%). The number of second-line treatments received (i.e. other than steroids and immunoglobulins) increased over time without reaching a plateau (Fig. 1C). Half of the patients had received at least one, two, and three different treatments at 2.7, 10.5, and 14.7 years after the first cytopenia diagnosis, respectively. The number of cIMs was independently associated with the number of second-line treatments received (HR, 1.3; 95% CI, 1.08-1.6; p = 0.006). Systemic lupus erythematosus (SLE) was diagnosed in 11/151 patients (7.3%, 1/88 males and 10/63 females) and autoimmune lymphoproliferative syndrome (ALPS) in six (4.0%). Sixteen of the 151 patients followed for more than 5 years (10.6%) died, and seven died before the fifth year of follow-up (23 deaths in total). Survival at 5, 10, and 15 years after the first cytopenia was 97%, 92%, and 84%, respectively (Fig. 1D). Deaths occurred regularly throughout the follow-up period, at a median age of 18.0 (1.7-31.5) years. The most frequent cause of death was infections (n = 12, 52%). Four patients (18%) died of hemorrhage, all were less than 13 years old. The numbers of second-line treatments (HR, 1.3; 95% CI, 1.1-1.6; p = 0.004) and severe or recurrent infections (HR, 3.4; 95% CI, 1.2-9.7; p = 0.02) were independently associated with mortality after 5 years of follow-up. Overall, 20-year-old compared to 10-year-old patients more frequently showed a sustained complete response for AIHA (72% vs. 30%) and ITP (50% vs. 26%), but more frequently had cIMs (74% vs. 37%), bIMs (75% vs. 39%), and ongoing second-line treatments (88% vs. 47%; p < 0.001 for all comparisons). Conclusions Long-term outcomes of pES were associated to IMs and second-line treatment burden, not active cytopenia. The significant mortality rates, mostly among adolescents and young adults, were linked to drug-induced and/or constitutive immunodeficiencies. Few cases were associated with SLE or ALPS, which is consistent with a heterogeneous genetic background. These results highlight the importance of multidisciplinary care during the transition from childhood to adulthood. Figure 1 Disclosures No relevant conflicts of interest to declare.

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 enseignants0,014
Score d'incertitude au seuil0,592

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 Opus0,019
Tête enseignante GPT0,256
Écart entre enseignants0,236 · 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

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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