Optimizing the Diagnosis of Microcytic Hypochromic Anemia: A Comparative Evaluation of Erythrocyte and Reticulocyte Parameters.

bessman index england and fraser index hematological indices iron deficiency anemia (ida) microcytic hypochromic anemia red cell distribution width (rdw) β-thalassemia

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 27 08 2024
accepted: 11 09 2024
medline: 14 10 2024
pubmed: 14 10 2024
entrez: 14 10 2024
Statut: epublish

Résumé

Background Anemia is a widespread, worldwide hematological disorder, with iron deficiency anemia (IDA) and thalassemia trait (TT) being two frequently encountered forms. For effective management, it is vital to distinguish between these two conditions. Existing diagnostic methods have some limitations due to their inaccessibility and high cost. This study aims to evaluate novel hematological indices for distinguishing IDA from TT, offering potential improvements in diagnostic accuracy and patient care. Objective To compare the efficacy of novel hematological indices in differentiating IDA from TT, and to assess their sensitivity and specificity in clinical practice. Methods This cross-sectional observational study included 80 anemia patients (40 diagnosed cases of IDA and 40 of TT each). Hematological parameters were measured using the Sysmex XN-1000 analyzer (Sysmex Corporation, Kobe, Japan), and statistical analysis was conducted using the Mann-Whitney test, Pearson correlation coefficient (r), and correlation matrix. Results Significant differences were observed between IDA and TT patients in the indices studied. The Green and King Index demonstrated high diagnostic accuracy, with a sensitivity of 90% and specificity of 82%. The red cell distribution width (RDW) Index exhibited similar diagnostic performance, with a sensitivity of 90% and specificity of 77%. The England and Fraser Index showed a sensitivity of 85% and specificity of 80%, with a large effect size (r = -0.60). The correlation matrix revealed strong associations between key parameters, including a negative correlation between hemoglobin and RDW Index (r = -0.61) and a positive correlation between mean corpuscular volume (MCV) and Shine and Lal Index (r = 0.82). On the other hand, our study found that indices like Shine and Lal and Srivastava had limited diagnostic value, with smaller effect sizes (r = 0.28 and r = -0.005, respectively). Conclusion Hematological indices, such as the Green and King, RDW, and England and Fraser indices, show strong potential for differentiating IDA from TT, with high sensitivity, specificity, and large effect sizes. The correlation matrix further supports the diagnostic utility of these indices. These tools can enhance diagnostic precision in resource-limited settings and improve patient outcomes.

Identifiants

pubmed: 39398855
doi: 10.7759/cureus.69244
pmc: PMC11470839
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e69244

Informations de copyright

Copyright © 2024, Nerune et al.

Déclaration de conflit d'intérêts

Human subjects: Consent was obtained or waived by all participants in this study. BLDE (DU) Shri B.M. Patil Medical College Hospital and Research Centre, Institutional Ethics Review Board issued approval BLDE(DU)/IEC/846-A/2022-23. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Savitri M Nerune (SM)

Pathology, Shri B.M. Patil Medical College Hospital and Research Centre, Bijapur Lingayat District Educational (BLDE) Association (Deemed to be University), Vijayapura, IND.

Sohan Rao H R (S)

Pathology, Central Referral Hospital, Sikkim Manipal Institute of Medical Sciences, Gangtok, IND.

K Pallavi (K)

Pathology, GSL Medical College, Rajahmundry, IND.

Amogh P Lavate (AP)

Pathology, Shri B.M. Patil Medical College Hospital and Research Centre, Bijapur Lingayat District Educational (BLDE) Association (Deemed to be University), Vijayapura, IND.

Sayandeep K Das (SK)

Pathology, Shri B.M. Patil Medical College Hospital and Research Centre, Bijapur Lingayat District Educational (BLDE) Association (Deemed to be University), Vijayapura, IND.

Sajal Pagi (S)

Pathology, Shri B.M. Patil Medical College Hospital and Research Centre, Bijapur Lingayat District Educational (BLDE) Association (Deemed to be University), Vijayapura, IND.

Classifications MeSH