Validation of HemoCue method and development of a revised hemoglobin cut-off to detect anemia in children aged 6-24-months
Mahfuz, M.; Khan, A.-R.; Hasan, S. M. T.; Hossain, M. S.; Rezwan, A. H. M.; Mahfuz, M. T.; Alam, M. A.; Ahmed, T.
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Background Accurate hemoglobin (Hb) measurement is essential for determining anemia prevalence at the population level. The HemoCue method, commonly used in resource poor settings, has been shown to overestimate Hb levels compared to the direct cyanmethemoglobin (DCM) method, leading to an underestimation of anemia. This study aimed to validate the HemoCue method against the DCM method and establish an optimal cut-off value for diagnosing anemia in children under two. Methods Date were collected from children under two years of age as part of the Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development study in Bangladesh, conducted in Mirpur, Dhaka, from February 2010 to February 2017. Using HemoCue 201 instrument and DCM method, Hb levels was measured in 846 venous blood samples collected from 589 children. Youdens Index was used to identify the optimal cut-off for hemoglobin. While it provided a strong threshold, we prioritized achieving at least 70% sensitivity and specificity to confirm balanced diagnostic performance. Results The median (IQR) Hb concentrations estimated by HemoCue and DCM were 11.6 (10.5, 12.5) g/dL and 10.8 (10.1, 11.5) g/dL, respectively. Using a cut-off of <10.5 g/dL for anemia, the prevalence was significantly higher with the DCM method (35.2% vs. 23.2%). Considering DCM as the gold standard, the sensitivity and specificity of the HemoCue method were found to be 93% and 53%, respectively. In the test/train analysis, the newly identified cut-off of 11.00 g/dL, indicated an anemia prevalence of 34.2% in the testing dataset, with a sensitivity of 84% and specificity of 69%. Conclusion This study underscores the discrepancies between the HemoCue and DCM methods for measuring Hb levels. By proposing and validating a new cut-off value, we provide a more accurate means of diagnosing anemia in children under two.
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