Transcranial Doppler screening for stroke risk in children with sickle cell disease: a systematic review

Sara Mazzucco1,2, Marina Diomedi3, Amrana Qureshi4

  • 11 Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Insights

Transcranial Doppler ultrasound (TCD) effectively screens children with sickle cell disease (SCD) for stroke risk. More research is needed on alternative methods and specific patient groups, especially in Europe.

Area of Science:

  • Pediatrics
  • Neurology
  • Hematology

Background:

  • Sickle cell disease (SCD) is a leading cause of stroke in children globally.
  • Annual transcranial Doppler ultrasound (TCD) screening is standard for stroke risk in children with SCD, based on the STOP trial.
  • Current TCD surveillance may impact stroke risk stratification and clinical management accuracy.

Purpose of the Study:

  • To systematically review literature on TCD screening for stroke prevention in pediatric SCD patients.
  • To focus on screening practices within European countries.
  • To assess the quality of evidence using GRADE methodology.

Main Methods:

  • A systematic literature review (CRD42016050549) was conducted.
  • Included 33 studies (5 RCTs, 8 non-randomized, 20 observational) in English or French.
  • Evidence quality was assessed using Grading of Recommendations Assessment, Development and Evaluation (GRADE).

Main Results:

  • TCD is effective for primary stroke prevention screening in children with SCD.
  • Limited high-quality evidence exists for alternative screening methods like MRI angiography.
  • No data were found on screening effectiveness in children on hydroxyurea or with non-HbSS/HbSβ0 genotypes, nor on European screening rates.

Conclusions:

  • High-quality studies are needed on alternative screening methods and their applicability to specific pediatric SCD subgroups.
  • Updated guidelines are necessary for uniform, evidence-based surveillance in Europe due to low disease awareness and data gaps.