Affiliation:
1. Department of Transfusion Medicine Medanta‐The Medicity, Sector‐38 Gurgaon India
2. Department of Pathology and Laboratory Medicine Medanta‐The Medicity, Sector‐38 Gurgaon India
3. Sysmex India Pvt. Ltd. Mumbai India
Abstract
AbstractBackground and ObjectivesMalaria continues to be a significant public health concern in India, with several regions experiencing endemicity and sporadic outbreaks. The prevalence of malaria in blood donors, in India, varies between 0.02% and 0.07%. Common techniques to screen for malaria, in blood donors and patients, include microscopic smear examination and rapid diagnostic tests (RDTs) based on antigen detection. The aim of this study was to evaluate a new fully automated analyser, XN‐31, for malaria detection, as compared with current practice of using RDT.Materials and MethodsCross‐sectional analytical study was conducted to evaluate clinical sensitivity and specificity of new automated analyser XN‐31 among blood donors' samples and clinical samples (patients with suspicion of malaria) from outpatient clinic collected over between July 2021 and October 2022. No additional sample was drawn from blood donor or patient. All blood donors and patients' samples were processed by malaria rapid diagnostic test, thick‐smear microscopy (MIC) and the haematology analyser XN‐31. Any donor blood unit incriminated for malaria was discarded. Laboratory diagnosis using MIC was considered the ‘gold standard’ in the present study. Clinical sensitivity and specificity of XN‐31 were compared with the gold standard.ResultsFife thousand and five donor samples and 82 diagnostic samples were evaluated. While the clinical sensitivity and specificity for donor samples were 100%, they were 72.7% and 100% for diagnostic samples.ConclusionAutomated haematology analysers represent a promising solution, as they can deliver speedy and sensitive donor malaria screening assessments. This method also has the potential to be used for pre‐transfusion malaria screening along with haemoglobin estimation.
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