The role of discriminant functions in screening beta thalassemia trait and iron deficiency anemia among laboratory samples

• Main Authors: Ashwani Kumar, Debarshi Saha, Jyoti Kini, Nirupama Murali, Shrijeet Chakraborti, Deepa Adiga
• Format: Article
• Language: English
• Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2017-07-01
• Series: Journal of Laboratory Physicians
• Subjects: discriminant functions; england and frazer index; mentzer index; microcytosis; receiver operator characteristic curve; shine and lal index; youden index
• Online Access: http://www.thieme-connect.de/DOI/DOI?10.4103/0974-2727.208256

INTRODUCTION: Most important differential diagnosis for microcytosis and hypochromia is beta thalassemia trait (BTT) and iron deficiency anemia. AIM: To study the utility of discriminant functions (DFs) and red cell indices in distinguishing BTT and iron deficiency anemia. METHODS: The study is observational (cross sectional). A total of 350 patients, 43 BTT, and 307 iron-deficiency anemia reflecting actual disease prevalence were included. Their complete red blood cell parameters, hemoglobin A2, and serum ferritin level wherever required were obtained. Receiver operator characteristic curve was drawn for each DF and results compared with other studies. RESULTS: Among the six DFs, the highest sensitivity (97.7%) and specificity (98.6%) was shown, respectively, by Shine and Lal (S and L) and England and Fraser index (E and F) in identifying cases of BTT. Youden index of the Mentzer index (MI) was the highest (69.0) and S and L, the lowest (13.2) indicating MI to be the most efficient and the S and L, the least in differentiating the two entities. Red cell distribution width index (RDWI) showed the highest accuracy (91.6%), whereas S and L showed the least accuracy (29.6%). CONCLUSION: MI was the most efficient in discriminating BTT from iron deficiency anemia (IDA). RDWI stands to be the most accurate. S and L could at best be used as screening tool rather than DF. No study except one agreed with us because convenient sampling used in other studies generated bias in their results. Statistically, this study bears far more relevance than other studies because the sample distribution reflects the prevalence of IDA and BTT in the community.