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Scientific paper - Original scientific paper
Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients
Frontiers in Pediatrics, 11 (2024); 1258054. https://doi.org/10.3389/fped.2023.1258054
Turudić, Daniel; Vučak, Jerko; Kocheva, Svetlana; Milošević, Danko; Bilić, Ernest

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Turudić, D., Vučak, J., Kocheva, S., Milošević, D. & Bilić, E. (2024). Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients. Frontiers in Pediatrics, 11.. doi: 10.3389/fped.2023.1258054

Turudić, Daniel, et al. "Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients." Frontiers in Pediatrics, vol. 11, 2024. https://doi.org/10.3389/fped.2023.1258054

Turudić, Daniel, Jerko Vučak, Svetlana Kocheva, Danko Milošević and Ernest Bilić. "Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients." Frontiers in Pediatrics 11 (2024). https://doi.org/10.3389/fped.2023.1258054

Turudić, D., et al. (2024) 'Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients', Frontiers in Pediatrics, 11. doi: 10.3389/fped.2023.1258054

Turudić D, Vučak J, Kocheva S, Milošević D, Bilić E. Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients. Frontiers in Pediatrics [Internet]. 2024 January 16 [cited 2025 March 14];11. doi: 10.3389/fped.2023.1258054

D. Turudić, J. Vučak, S. Kocheva, D. Milošević and E. Bilić, "Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients", Frontiers in Pediatrics, vol. 11, January 2024. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:864772. [Accessed: 14 March 2025]

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Title (english)Differentinating between non-transfusion dependant β-thalassemia and iron deficinecy anemia in children using ROC and logistic regression analysis: two novel discrimination indices designed for pediatric patients
AuthorDaniel Turudić
AuthorJerko Vučak
AuthorSvetlana Kocheva
AuthorDanko Milošević
AuthorErnest Bilić
Author's institutionUniversity of Zagreb
School of Medicine
(Department of Pediatrics)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Pediatrics
Abstract (english)
Introduction: This cross-sectional study enrolled a group of 271 children with microcytic anemia in order to test the performance of 41 single and 2 composite formulas andindices in distinguishing between β-thalassemia (β-thal) and iron deficiency anemia (IDA) in the pediatric population. Methods: Optimal pediatric cut-off values from the previously published formulas and indices were generated using ROC analysis. Logistic regression in R using generalized linear models (GLM) generated two new indices. Results: Formulas and indices with optimal cut-offvalues in children with accuracy ≥90% were (in descending order): Matos & Carvalho index, MDHL(Telmissani) formula, England and Fraser formula, Pornprasert index, Sirachainan index, Telmissani (MCHD) formula, CRUISE index, Hameed index, Sargolzaie formula and Zaghloul II index. The CroThalDD-LM1 index has an accuracy of 93.36% (AUC 0.986, 95% CI 0.975-0.997), while the second CroThalDD-LM2 index utilizes absolute reticulocyte count alongside CBC variables, with an accuracy of 96.77% (AUC 0.985, 95% CI 0.988-0.999). Discussion and conclusion: We recommend using aforementioned formulas and indices with corrected cut-off values and accuracy >90% alongside two new proposed indices. A comparison of both native and these new indices is encouraged. These are the first discrimination indices generated and designed precisely for the pediatric population, which includes preschool children.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleFrontiers in Pediatrics
Numberingvol. 11, 1258054
e-ISSN2296-2360
DOIhttps://doi.org/10.3389/fped.2023.1258054
URN:NBNurn:nbn:hr:105:864772
Publication2024-01-16
Document URLhttps://www.frontiersin.org/articles/10.3389/fped.2023.1258054/full
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-12-03 08:27:12