A systematic review of the literature for severity predictors in children with sickle cell anemia

Emily Riehm Meier1, Ross M Fasano2, Paul R Levett3

  • 1Indiana Hemophilia and Thrombosis Center, Indianapolis, IN 46260, USA.

Insights

Predicting sickle cell anemia (SCA) severity in children is challenging. While alpha thalassemia and fetal hemoglobin show some protective effects, only transcranial Doppler and reticulocyte count reliably predict complications, highlighting the need for better early indicators.

Area of Science:

  • Hematology
  • Genetics
  • Pediatric Medicine

Background:

  • Sickle cell anemia (SCA) presents with variable clinical phenotypes despite a single genetic mutation.
  • Predicting SCA severity early in life is difficult, hindering timely therapeutic interventions for high-risk patients.

Purpose of the Study:

  • To identify validated predictors of SCA severity in pediatric patients.
  • To evaluate the effectiveness of various biomarkers in predicting SCA complications.

Main Methods:

  • A systematic literature search was conducted across PubMed, Cochrane Clinical Trials Register, and Scopus.
  • Full-text review of 94 articles from 590 references, with 54 ultimately included in the analysis.

Main Results:

  • Alpha globin gene number, fetal hemoglobin (HbF), and reticulocyte count were commonly studied predictors.
  • Alpha thalassemia trait demonstrated protection against stroke and abnormal transcranial Doppler (TCD), but not painful crises or silent cerebral infarct.
  • HbF showed mixed results; while some studies indicated benefits, others found no association with reduced hospitalization or stroke rates.
  • Transcranial Doppler (TCD) and absolute reticulocyte count showed the most consistent ability to predict SCA complications.

Conclusions:

  • Existing SCA severity predictors in children have limited reliability.
  • Transcranial Doppler (TCD) and absolute reticulocyte count are the most promising validated predictors currently available.
  • There is an urgent need for more robust and reliable predictors to guide therapeutic decisions in pediatric SCA patients.

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