Genetic determinants and stroke in children with sickle cell disease

Daniela O W Rodrigues1, Luiz C Ribeiro2, Lysla C Sudário3

  • 1Fundação Hemominas, Juiz de Fora, MG, Brazil; Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, MG, Brazil.

Jornal De Pediatria
|June 9, 2016
PubMed

Insights

Stroke incidence is high in male children with sickle cell anemia (SCA). Genetic factors like alpha thalassemia and beta globin haplotypes were not significantly linked to stroke in children with sickle cell disease (SCD).

Area of Science:

  • Pediatrics
  • Hematology
  • Genetics

Background:

  • Sickle cell disease (SCD) is a genetic blood disorder with a high risk of stroke in children.
  • Identifying genetic determinants of stroke in pediatric SCD is crucial for prevention and treatment.

Purpose of the Study:

  • To investigate genetic factors, including alpha thalassemia and beta globin haplotypes, associated with stroke in children diagnosed with sickle cell disease (SCD).

Main Methods:

  • A prospective cohort study followed 110 children with SCD diagnosed via neonatal screening.
  • Analysis included hemoglobinopathy type, gender, alpha thalassemia (α-thal) coinfection, beta globin chain cluster haplotypes, and stroke occurrence.
  • Statistical analysis used the chi-squared test on 66 children with sickle cell anemia (SCA).

Main Results:

  • Sickle cell anemia (SCA) was present in 60% of children with SCD.
  • Stroke incidence was significantly higher in children with SCA (27.3%) compared to other SCD types (2.3%) and in males (24.1%) versus females (9.6%).
  • Alpha thalassemia (α-thal) and the Bantu haplotype (CAR) showed no statistically significant association with stroke.

Conclusions:

  • Male children and those with SCA face a high incidence of stroke.
  • Coinfection with α-thal and specific beta globin chain cluster haplotypes were not significantly associated with stroke.
  • Further research is needed to elucidate the role of genetic factors in stroke among SCD patients due to study heterogeneity.
Abstract

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