Accuracy of Automated Sysmex XN-1OOO Haematology Analyzer to Diagnose Malaria Keeping Microscopy as Gold Standard

Authors

  • Dur-e Nayyab Haematology Department, Hayatabad Medical Complex, Peshawar, Pakistan
  • Khalid Khan Haematology Department, Hayatabad Medical Complex, Peshawar, Pakistan
  • Muhammad Ibrahim Haematology Department, Hayatabad Medical Complex, Peshawar, Pakistan
  • Hamed Mahabat Khan Haematology Department, Hayatabad Medical Complex, Peshawar, Pakistan
  • Sana Arif Haematology Department, Hayatabad Medical Complex, Peshawar, Pakistan
  • Huma Riaz Haematology Department, Hayatabad Medical Complex, Peshawar, Pakistan

DOI:

https://doi.org/10.70749/ijbr.v3i7.2932

Keywords:

Malaria diagnosis, Sysmex XN-1000, haematology analyser, diagnostic accuracy, microscopy

Abstract

Objective: To assess the diagnostic accuracy of the Sysmex XN-1000 haematology analyser for malaria detection, using peripheral blood smear microscopy as the reference standard. Methods: A cross-sectional diagnostic accuracy study that included 185 blood samples obtained from patients undergoing routine complete blood count testing. Samples were taken by using non-probability consecutive sampling at the Haematology Department of PGMI/Hayatabad Medical Complex, Peshawar for the duration of three months from March 21, 2025 to June 20, 2025. Each sample was evaluated by using the Sysmex XN-1000 analyser with particular assessment of malaria-associated scattergram abnormalities. Paired peripheral blood smears were prepared and independently examined by a consultant haematologist who was blinded to analyser results. Direct comparisons with microscopic findings were used to compute diagnostic indices. Results: 68 out of 185 samples confirmed malarial parasites in microscopy, suggesting a prevalence of 36.8%. The Sysmex XN-1000 analyser showed a 92.65% sensitivity and 89.74% specificity. The 95.45% negative predictive value, indicates a strong ability to exclude malaria when analyser flags were absent. The overall diagnostic accuracy was 90.81%. Conclusion: As a screening tool for malaria, the Sysmex XN-1000 haematology analyzer demonstrates a strong diagnostic accuracy and high sensitivity. In regions where malaria is endemic, its regular application may help identify suspected cases promptly. It further expedites the confirmation tests and starts the management on time, even though it does not substitute for microscopy.

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References

1. Organization WH. WHO malaria policy advisory group (MPAG) meeting report, 18–20 April 2023: World Health Organization; 2023.

2. Chen I, Cooney R, Feachem RG, Lal A, Mpanju-Shumbusho W. The Lancet Commission on malaria eradication. The Lancet. 2018;391(10130):1556-8.

https://doi.org/10.1016/s0140-6736(18)30911-5

3. Khan MI, Qureshi H, Bae SJ, Khattak AA, Anwar MS, Ahmad S, et al. Malaria prevalence in Pakistan: a systematic review and meta-analysis (2006–2021). Heliyon. 2023;9(4).

https://doi.org/10.1016/j.heliyon.2023.e15373

4. Hodson DZ, Mbarga Etoundi Y, Mbatou Nghokeng N, Mohamadou Poulibe R, Magne Djoko S, Goodwin J, et al. Clinical characteristics of Plasmodium falciparum infection among symptomatic patients presenting to a major urban military hospital in Cameroon. Malaria Journal. 2022;21(1):298.

https://doi.org/10.1186/s12936-022-04315-2

5. Berzosa P, De Lucio A, Romay-Barja M, Herrador Z, González V, García L, et al. Comparison of three diagnostic methods (microscopy, RDT, and PCR) for the detection of malaria parasites in representative samples from Equatorial Guinea. Malaria journal. 2018;17(1):333.

https://doi.org/10.1186/s12936-018-2481-4

6. Stauffer WM, Cartwright CP, Olson DA, Juni BA, Taylor CM, Bowers SH, et al. Diagnostic performance of rapid diagnostic tests versus blood smears for malaria in US clinical practice. Clinical Infectious Diseases. 2009;49(6):908-13.

https://doi.org/10.1086/605436

7. Hofmann N, Mwingira F, Shekalaghe S, Robinson LJ, Mueller I, Felger I. Ultra-sensitive detection of Plasmodium falciparum by amplification of multi-copy subtelomeric targets. PLoS medicine. 2015;12(3):e1001788.

https://doi.org/10.1371/journal.pmed.1001788

8. Ramiah J, Pillay D, Rapiti N. Performance of the automated Sysmex XN-3000 analyser for detecting white blood cell abnormalities in South Africa. African Journal of Laboratory Medicine. 2023;12(1):2140.

https://doi.org/10.4102/ajlm.v12i1.2140

9. Sunilkumar K, Naik P. Usefulness of automated haematology analyzer Sysmex XN 1000 in detection of Malaria. Indian J Path Onc. 2016;3:658-61.

https://doi.org/10.5958/2394-6792.2016.00122.8

10. Buderer NMF. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Academic Emergency Medicine. 1996;3(9):895-900.

https://doi.org/10.1111/j.1553-2712.1996.tb03538.x

11. Ali N, Khan NU, Waheed S, Mustahsan S. Etiology of acute undifferentiated fever in patients presenting to the emergency department of a tertiary care center in Karachi, Pakistan. Pakistan Journal of Medical Sciences. 2020;36(6):1285.

https://doi.org/10.12669/pjms.36.6.2334

12. Qamar G, Imran AI. Diagnostic accuracy of haematology analyzer sysmex Xn-1000 scattergrams in the diagnosis of malaria. Journal of Haematology and Stem Cell Research. 2023;3(1):12-6.

13. Mulatie Z, Kelem A, Chane E, Tarekegn AM, Teketelew BB, Yenesew A, et al. Diagnostic role of Sysmex haematology analyzer in the detection of malaria: A systematic review and meta-analysis. Plos one. 2024;19(9):e0296766.

https://doi.org/10.1371/journal.pone.0296766

14. Dahal P, Khanal B, Rai K, Kattel V, Yadav S, Bhattarai NR. Challenges in Laboratory Diagnosis of Malaria in a Low‐Resource Country at Tertiary Care in Eastern Nepal: A Comparative Study of Conventional vs. Molecular Methodologies. Journal of Tropical Medicine. 2021;2021(1):3811318.

https://doi.org/10.1155/2021/3811318

15. Mahjaf G, Abdelgader L, Abuzeid N. Differentiating malaria from dengue fever by routine hematological parameters in Shendi City, Sudan. J Bacteriol Mycol Open Access. 2025;13(3):169-70.

https://doi.org/10.15406/jbmoa.2025.13.00418

16. Zhang Y, Yu P, Chen Z, Zhang J, Lin Q, Wang M, Cao Y. Flagging performance of two automated haematology analyzers in blast cell screening. Annals of Translational Medicine. 2021;9(20):1606.

https://doi.org/10.21037/atm-21-5238

17. Haslacher H, Rappel R, Thalhammer R, Demyanets S, Simbrunner B, Reiberger T, et al. Adequate scattergram interpretation increases the reliability of automated polymorphonuclear (pmn) cell counts from ascitic fluid of patients with liver cirrhosis. International Journal of Laboratory Haematology. 2021;43(4):O176..

https://doi.org/10.1111/ijlh.13488

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Published

2025-07-15

How to Cite

Dur-e Nayyab, Khan, K., Muhammad Ibrahim, Mahabat Khan, H., Arif, S., & Riaz, H. (2025). Accuracy of Automated Sysmex XN-1OOO Haematology Analyzer to Diagnose Malaria Keeping Microscopy as Gold Standard. Indus Journal of Bioscience Research, 3(7), 1580-1583. https://doi.org/10.70749/ijbr.v3i7.2932