Red cell indices: differentiation between β-thalassemia trait and iron deficiency anemia and application to sickle cell disease and sickle cell thalassemia

Clin Chem Lab Med. 2013 Aug;51(8):1595-603. doi: 10.1515/cclm-2012-0842.

Abstract

Background: In Tunisia, thalassemia and sickle cell disease (SS) represent the most prevalent monogenic hemoglobin disorders with 2.21% and 1.89% of carriers, respectively. This study aims to evaluate the diagnosis reliability of 12 red blood cell (RBC) indices in differentiation of β-thalassemia trait (β-TT) from iron deficiency anemia (IDA) and between homozygous SS and sickle cell thalassemia (ST).

Methods: The study covered 384 patients divided into three groups. The first one is composed of 145 control group, the second consists of 57 β-TT and 52 IDA subjects and the last one with 88 SS and 42 ST patients. We calculated sensitivity, specificity, positive-predictive values, negative-predictive values, percentage of correctly identified patients and Youden's Index (YI) for each indice. We also established new cut-off values by receiver operating characteristic curves for each indice. An evaluation study was performed on another population composed of 106 β-TT, 125 IDA, 31 SS, and 17 ST patients.

Results: Srivastava Index (SI) shows the highest reliability in discriminating β-TT from IDA at 5.17 as a cut-off and also SS from ST with 7.7 as another threshold. Mentzer Index (MI) and RBC appear also useful in both groups with new cut-offs slightly different from those described in literature for β-TT and IDA.

Conclusions: The effectiveness and the simplicity of calculation of these indices make them acceptable and easy to use. They can be relied on for differential diagnosis and even for diagnosis of β-TT with atypical HbA₂ levels.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Anemia, Iron-Deficiency / blood*
  • Anemia, Sickle Cell / blood*
  • Cell Differentiation
  • Erythrocyte Indices*
  • Female
  • Ferritins / blood
  • Humans
  • Male
  • Middle Aged
  • Mutation
  • ROC Curve
  • Receptors, Transferrin / blood
  • Sequence Analysis, DNA
  • Young Adult
  • beta-Thalassemia / blood*
  • beta-Thalassemia / genetics

Substances

  • Receptors, Transferrin
  • Ferritins