Official Journal Health Science of Prince of Songkla University

  • Home
  • Search
  • Current
  • Archives
  • Announcements
  • Guide for Authors
  • Publication Ethics
  • Editorial Board
  • Submit
  • About
  • Contact
  • Online-first Articles
  • EVENTS
  • Review Process
Home > Online-first > Penglong

Evaluation of Red Blood Cell Indices and Reticulocyte Parameters for Thalassemia Carrier Screening Using the Dymind Automated Hematology Analyzer

Tipparat Penglong, Wanicha Tepakhan, Nisreen Sariddeepeerapan, Suppawit Thongsan, Nasra Tehyoh, Korntip Sreworadechpisal, Sataron Kanjanaopas, Yanisa Na Songkhla, Chakkrit Songnak, Kanitta Srinoun

Abstract

Objective: The Dymind automated hematology analyzers, comprising the DF55, DH76, and DH615, were recently released. The appropriate cutoffs of the mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) for hemoglobinopathy screening are related to the study population and automated analyzers. This study aimed to evaluate the Dymind automated hematology analyzers for screening thalassemia and common abnormal hemoglobin (Hb).
Material and Methods: Blood samples of known α0-thalassemia and β-thalassemia carriers were analyzed to establish the suitable cutoffs for each analyzer, derived from the receiver operating characteristic curve. These selected cutoffs were used for prospective validation for screening α0-thalassemia and β-thalassaemia, in combination with the dichlorophenolindophenol (DCIP) test for Hb E screening. Thalassemia genotypes were determined using Hb typing and Deoxyribonucleic acid (DNA) analyses.
Results: MCV 80 fL and MCH 27 pg, analyzed using the DF55, DH76, and DH615 analyzers, were the appropriate cutoffs. Using these cutoffs in combination with the DCIP test for screening α0-thalassaemia, β-thalassaemia, and Hb E revealed 100% sensitivity and 100% negative predictive value. Our study showed that a reticulocyte hemoglobin equivalent (Ret-He) less than 26 pg could be indicative of both the thalassemia trait and iron deficiency. Interestingly, the cutoff below 23.7 pg is more indicative of the α0-thalassemia trait. For the sample stability study, the MCV and MCH remained stable at 4 °C. Additionally, the MCH remained stable at room temperature.
Conclusion: Therefore, the combined MCV and MCH analyzed using the Dymind automated hematology analyzers with the DCIP test, together with Ret-He parameters from the DH615, are effective for screening thalassemia and common abnormal Hb in the Thai population.

 Keywords

cutoff values; thalassemia screening; automated hematology analyzer; MCV; MCH; Ret-He

 Full Text:

PDF

References

Fucharoen S, Winichagoon P. Haemoglobinopathies in southeast Asia. Indian J Med Res 2011;134:498-506.

Paiboonsukwong K, Jopang Y, Winichagoon P, Fucharoen S. Thalassemia in Thailand. Hemoglobin 2022;46:53-7.

Kattamis A, Forni GL, Aydinok Y, Viprakasit V. Changing patterns in the epidemiology of beta-thalassemia. Eur J Haematol 2020;105:692-703.

Fucharoen G, Sanchaisuriya K, Sae-ung N, Dangwibul S, Fucharoen S. A simplified screening strategy for thalassaemia and haemoglobin E in rural communities in south-east Asia. Bull World Health Organ 2004;82:364-72.

Sanchaisuriya K, Fucharoen S, Fucharoen G, Ratanasiri T, Sanchaisuriya P, Changtrakul Y, et al. A reliable screening protocol for thalassemia and hemoglobinopathies in pregnancy: an alternative approach to electronic blood cell counting. Am J Clin Pathol 2005;123:113-8.

Bain BJ, Daniel Y, Henthorn J, de la Salle B, Hogan A, Roy NBA, et al. Significant haemoglobinopathies: a guideline for screening and diagnosis: a British society for haematology guideline: a british society for haematology guideline. Br J Haematol 2023;201:1047-65.

Guidelines for investigation of the alpha and beta thalassaemia traits. The Thalassaemia Working Party of the BCSH General Haematology Task Force. J Clin Pathol 1994;47:289-95.

The laboratory diagnosis of haemoglobinopathies. Br J Haematol 1998;101:783-92.

Karnpean R, Pansuwan A, Fucharoen G, Fucharoen S. Evaluation of the URIT-2900 automated hematology analyzer for screening of thalassemia and hemoglobinopathies in Southeast Asian populations. Clin Biochem 2011;44:889-93.

Chaitraiphop C, Sanchaisuriya K, Inthavong S, Fucharoen G, Sanchaisuriya P, Changrakun Y, et al. Thalassemia Screening Using Different Automated Blood Cell Counters: Consideration of Appropriate Cutoff Values. Clin Lab 2016;62:545-52.

Ding N, Ma YH, Guo P, Wang TK, Liu L, Wang JB, et al. Reticulocyte hemoglobin content associated with the risk of iron deficiency anemia. Heliyon 2024;10:e25409.

Urrechaga Igartua E, Hoffmann J, Izquierdo-Alvarez S, Escanero JF. Reticulocyte hemoglobin content (MCHr) in the detection of iron deficiency. J Trace Elem Med Biol 2017;43:29-32.

Kadegasem P, Songdej D, Lertthammakiat S, Chuansumrit A, Paisooksantivatana K, Mahaklan L, et al. Reticulocyte hemoglobin equivalent in a thalassemia-prevalent area. Pediatr Int 2019;61:240-5.

Tangvarasittichai O, Poonanan N, Tangvarasittichai S. Using red cell indices and reticulocyte parameters for carrier screening of various Thalassemia syndromes. Indian J Clin Biochem 2017;32:61-7.

Zini G, International Council for Standardization in H. Stability of complete blood count parameters with storage: toward defined specifications for different diagnostic applications. Int J Lab Hematol 2014;36:111-3.

Jomoui W, Panyasai S, Sripornsawan P, Tepakhan W. Revisiting and updating molecular epidemiology of alpha-thalassemia mutations in Thailand using MLPA and new multiplex gap-PCR for nine alpha-thalassemia deletion. Sci Rep 2023;13:9850.

Fucharoen S, Sanchaisuriya K, Fucharoen G, Panyasai S, Devenish R, Luy L. Interaction of hemoglobin E and several forms of alpha-thalassemia in Cambodian families. Haematologica 2003;88:1092-8.

Levy S, Schapkaitz E. The clinical utility of new reticulocyte and erythrocyte parameters on the Sysmex XN 9000 for iron deficiency in pregnant patients. Int J Lab Hematol 2018;40:683-90.

Velizarova M, Yacheva T, Genova M, Svinarov D. Evaluation of automated hematology analyzer DYMIND DH76 compared to SYSMEX XN 1000 system. J Med Biochem 2021;40:367-77.

DOI: http://dx.doi.org/10.31584/jhsmr.20251248

Refbacks

  • There are currently no refbacks.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

SUBMIT A PAPER

JHSMR accepts online submission through

AHR-iCON 2025

Journal Metrics


2020
Acceptance rate: 52%
2021
Acceptance rate: 27.8%
2022 (March)
Acceptance rate: 15.6%
2023 (June)
Acceptance rate: 23.6%
2024 (June)
Acceptance rate: 19%


Submission to final decision
74 days

Acceptance to publication
40 days

0.6
2024CiteScore
 
 
31st percentile
Powered by Scopus
About The Authors

Tipparat Penglong
Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Wanicha Tepakhan
Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Nisreen Sariddeepeerapan
Faculty of Medical Technology, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Suppawit Thongsan
Faculty of Medical Technology, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Nasra Tehyoh
Faculty of Medical Technology, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Korntip Sreworadechpisal
Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Sataron Kanjanaopas
Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Yanisa Na Songkhla
Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Chakkrit Songnak
Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Kanitta Srinoun
Faculty of Medical Technology, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Article Tools
Abstract
Print this article
Indexing metadata
How to cite item
Email this article (Login required)
Email the author (Login required)

Supported by

 

JHSMR now Indexed in



Scopus logo.svg






Image result for crossref





PSUMJ Homepage

Keywords COVID-19 SARS-CoV-2 Thailand anxiety children computed tomography cross-cultural adaptation depression diabetes diabetes mellitus elderly hypertension knowledge mental health mortality prevalence quality of life reliability risk factors treatment validity
Journal Content

Browse
  • By Issue
  • By Author
  • By Title
Font Size

Open Journal Systems