Expert review of hematology · 2021
The value of the red cell distribution width index versus other parameters in the differentiation between iron deficiency anemia and beta thalassemia trait among children in Mosul, Iraq.
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Al-Numan Aws H, Al-Obeidi Riyadh A
Аннотация
BACKGROUND: Iron deficiency anemia (IDA) in children may be confounded with the beta-thalassemia trait (BTT). This study aimed to reevaluate the role of the red blood cell distribution width index (RDWI) in distinguishing BTT from IDA.
RESEARCH DESIGN AND METHODS: This cross-sectional study was conducted from June 2018 to February 2019 in two pediatric teaching hospitals in Mosul, Iraq. Two sets of patients with hypochromic microcytic anemia in the age range 6 months-12 years were included. The receiver-operating characteristics curve was used to identify the test best distinguishing BTT from IDA.
RESULTS: In the first patient set, 54 (51.92%) had IDA and 50 (48.07%) had BTT. The area under the curve (AUC) for the RDWI was larger than for other parameters at 0.963, suggesting a discriminant tool to detect cases of BTT (p-value < 0.0001) . In the second patient set, 25 (42.85%) IDA cases and 20 (57.14%) BTT cases were analyzed, and the RDWI still had the highest AUC when compared with other parameters (p-value < 0.0001). An RDWI cutoff value suggested to differentiate BTT from IDA was 200.18 and 200.35 respectively for both groups.
CONCLUSIONS: RDWI may be a useful screening parameter in differentiating BTT from IDA.
RESEARCH DESIGN AND METHODS: This cross-sectional study was conducted from June 2018 to February 2019 in two pediatric teaching hospitals in Mosul, Iraq. Two sets of patients with hypochromic microcytic anemia in the age range 6 months-12 years were included. The receiver-operating characteristics curve was used to identify the test best distinguishing BTT from IDA.
RESULTS: In the first patient set, 54 (51.92%) had IDA and 50 (48.07%) had BTT. The area under the curve (AUC) for the RDWI was larger than for other parameters at 0.963, suggesting a discriminant tool to detect cases of BTT (p-value < 0.0001) . In the second patient set, 25 (42.85%) IDA cases and 20 (57.14%) BTT cases were analyzed, and the RDWI still had the highest AUC when compared with other parameters (p-value < 0.0001). An RDWI cutoff value suggested to differentiate BTT from IDA was 200.18 and 200.35 respectively for both groups.
CONCLUSIONS: RDWI may be a useful screening parameter in differentiating BTT from IDA.