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Enregistrement W2586822406 · doi:10.1182/blood.v116.21.3794.3794

Neutropenia In Infants with Hemolytic Disease of the Newborn.

2010· article· en· W2586822406 sur OpenAlexaffabout
Esther Blanco-Alemany, Donna L. Johnston

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBlood disorders and treatments
Établissements canadiensChildren's Hospital of Eastern Ontario
Organismes subventionnairesnon disponible
Mots-clésMedicineNeutropeniaPediatricsAnemiaGestational ageHematologyHydrops fetalisPregnancyInternal medicineGestationChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 3794 Introduction: Hemolytic disease of the newborn (HDN) results from maternal IgG antibodies that cross the placenta into the fetal circulation during gestation and cause red blood cell (RBC) destruction. Anemia, hyperbilirubinemia and, in severe cases, hydrops fetalis are well-recognized complications. However, much less is known about the prevalence and outcome of neutropenia as a feature of HDN. This study examined the prevalence and outcome of neutropenia in infants with HDN who were followed in the Pediatric Hematology Clinic at the Children's Hospital of Eastern Ontario (CHEO) during the last 5 years, and also investigates possible risk factors for the development of neutropenia in this setting. Methods: A retrospective chart review was perfomed on all infants with HDN followed in the Pediatric Hematology Clinic at CHEO from April 2005 to May 2010. Neutropenia was defined as a neutrophil count low for patient's age according to laboratory normal values (<1.5×109/L for patients <14 days, <1.0×109/L for patients ≥14 days). Statistical analysis was done using SPSS version 18.0 and a Chi-squared test was used to determine significance. The study was approved by the Research Ethics Board at CHEO. Results: Seventy-four infants with a diagnosis of HDN were identified during the study time period, of which 69 were evaluable. The male to female ratio was 1:1 and the median gestational age at birth was 38 weeks. Rh antibodies were the most prevalent (48%), followed by ABO incompatibility (42%). No cases of hydrops fetalis were recorded. Fifty-three percent of the infants studied developed some degree of neutropenia, with a median neutrophil count at nadir of 0.56 ×109/L. The mean age at the nadir of the neutropenia was 56 days (range 5–181 days) and the neutropenia lasted a mean of 37 days following the nadir (range 3–153 days). No infectious complications were recorded during the period of neutropenia except for one patient born at 32 weeks of gestational age who had necrotizing enterocolitis and bowel perforation at the onset of the neutropenia. In most instances the neutropenia resolved spontaneously within days, but interestingly, 6 infants subsequently developed chronic neutropenia. Statistical analysis revealed that males with HDN were at a significantly higher risk of developing neutropenia (p=0.022) compared to females, but no statistically significant associations between neutropenia and severity of HDN, antibody specificity, treatment with IVIG or transfusions were found. Not surprisingly, 77% of infants with HDN developed thrombocytosis with a maximum platelet count of 1200 ×109/L, and this was not significantly associated with the development of neutropenia. Conclusion: This is the largest study to date to determine the prevalence of neutropenia in the context of hemolytic disease of the newborn. Our results demonstrate that neutropenia is a common feature of HDN, regardless of the severity of disease, the treatment received or the antibody specificity. Although its clinical course seems to be benign, careful follow-up of these infants should be undertaken. Given the retrospective nature of the study, possible contributing factors such as maternal conditions of pre-eclampsia, drug exposure or ethnicity were not available. Larger prospective studies should be conducted to learn more about the pathophysiology of this phenomenon and its natural course. 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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,009
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
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)0,0010,000

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 Opus0,002
Tête enseignante GPT0,189
Écart entre enseignants0,187 · 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 source (Gemma direct ou Codex distillé), 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
Publié2010
Routes d'admission2
Résumé présentoui

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