Utility of First-Line Diagnostic Tests and Molecular Methods for Accurate Characterization of Sickle Cell Disorders

Diksha Dev Yadav1, Sanjeev Chhabra1, Jasbir Kaur Hira1

  • 1Department of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Insights

Sickle cell disorder diagnosis relies on HPLC and hemogram data, with sickling tests and molecular analysis for complex cases. Accurate classification is crucial for effective patient management and understanding disease variants.

Area of Science:

  • Hematology
  • Clinical Diagnostics
  • Genetic Disorders

Background:

  • Sickle cell disorders (SCD) are prevalent hemoglobinopathies globally.
  • Accurate diagnosis requires multiple tests like complete blood count, HPLC, electrophoresis, sickling tests, and molecular assays.
  • Evaluating diagnostic utilities of these methods is essential for precise SCD classification.

Purpose of the Study:

  • To assess the diagnostic performance of various testing methods for precise classification of SCDs.
  • To compare the effectiveness of HPLC, electrophoresis, sickling tests, and molecular assays in a specialist hematology setting.

Main Methods:

  • Analysis of clinical, demographic, and laboratory data for SCD cases diagnosed between 2009 and 2020.
  • Utilized CE-HPLC, slide-based sickling test, and cellulose acetate electrophoresis.
  • Conducted molecular testing for HbS and β-thalassemia mutations in select cases.

Main Results:

  • Identified 261 HbS variant cases: 56% sickle cell trait, 21% Sβ-thalassemia, 17% sickle cell anemia, and 5% HbSD-Punjab.
  • HbA2 ≥ 4.0% showed high sensitivity (95.2%) and specificity (96.5%) in differentiating SCA from Sβ-thalassemia.
  • Alkaline pH electrophoresis and sickling tests demonstrated 100% sensitivity; PCR-RFLP had a diagnostic pitfall.

Conclusions:

  • HPLC and hemogram data reliably characterize most SCDs in hospital settings.
  • Sickling tests and parental HPLCs supplement diagnosis when needed.
  • Molecular analysis is valuable for complex cases but has potential pitfalls.
Abstract