{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T14:50:16Z","timestamp":1788274216214,"version":"build-2803163510"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,20]]},"DOI":"10.7759\/cureus.105572","type":"journal-article","created":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T05:27:02Z","timestamp":1774070822000},"source":"Crossref","is-referenced-by-count":1,"title":["Major Discordance in Hemoglobin A1c Measurement in Sickle Cell Trait: Effect of Analytical Methods"],"prefix":"10.7759","author":[{"given":"Faralahy H","family":"Rakotonjafiniarivo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jocia","family":"Fenomanana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soja M","family":"Rakotomalala","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aim\u00e9e  O","family":"Rakoto Alson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miora K","family":"Ranaivosoa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"ref1","article-title":"Hemoglobin A1C","author":"Eyth E","year":"2026","unstructured":"Eyth E, Zubair M, Naik R. Hemoglobin A1C. StatPearls [Internet]. StatPearls Publishing, Treasure Island (FL); 2026."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1752-7163\/aa9081","article-title":"Relationship between glycated haemoglobin concentration and erythrocyte survival in type 2 diabetes mellitus determined by a modified carbon monoxide breath test","volume":"12","author":"Huang Z","year":"2018","unstructured":"Huang Z, Liu Y, Mao Y, Chen W, Xiao Z, Yu Y. Relationship between glycated haemoglobin concentration and erythrocyte survival in type 2 diabetes mellitus determined by a modified carbon monoxide breath test. J Breath Res. 2018, 12:026004. 10.1088\/1752-7163\/aa9081","journal-title":"J Breath Res"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2021.07.027","article-title":"Evaluation of interference from hemoglobin C, D, E and S traits on measurements of hemoglobin A1c by fifteen methods","volume":"522","author":"Rohlfing C","year":"2021","unstructured":"Rohlfing C, Hanson S, Estey MP, Bordeleau P, Little RR. Evaluation of interference from hemoglobin C, D, E and S traits on measurements of hemoglobin A1c by fifteen methods. Clin Chim Acta. 2021, 522:31-5. 10.1016\/j.cca.2021.07.027","journal-title":"Clin Chim Acta"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/jcm13102893","article-title":"Correction: Colombatti et al. Systematic literature review shows gaps in data on global prevalence and birth prevalence of sickle cell disease and sickle cell trait: call for action to scale up and harmonize data collection. J. Clin. Med. 2023, 12, 5538","volume":"13","author":"Colombatti R","year":"2024","unstructured":"Colombatti R, Hegemann I, Medici M, Birkeg\u00e5rd C. Correction: Colombatti et al. Systematic literature review shows gaps in data on global prevalence and birth prevalence of sickle cell disease and sickle cell trait: call for action to scale up and harmonize data collection. J. Clin. Med. 2023, 12, 5538. J Clin Med. 2024, 13:2893. 10.3390\/jcm13102893","journal-title":"J Clin Med"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/labmed\/lmae073","article-title":"Correction to: Interference of hemoglobin variants with HbA1c measurements by six commonly used HbA1c methods","volume":"56","year":"2025","unstructured":"Correction to. Interference of hemoglobin variants with HbA1c measurements by six commonly used HbA1c methods. Lab Med. 2025, 56:320. 10.1093\/labmed\/lmae073","journal-title":"Lab Med"},{"key":"ref6","article-title":"Sickle cell trait","author":"Ashorobi D","year":"2026","unstructured":"Ashorobi D, Ramsey A, Killeen RB, Bhatt R. Sickle cell trait. StatPearls [Internet]. StatPearls Publishing, Treasure Island (FL); 2026."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00277-025-06253-w","article-title":"Plasma free hemoglobin is associated with LDH, AST, total bilirubin, reticulocyte count, and the hemolysis score in patients with sickle cell anemia","volume":"104","author":"Liu A","year":"2025","unstructured":"Liu A, Jacobs-McFarlane C, Sebastiani P, Glassberg J, McCuskee S, Curtis S. Plasma free hemoglobin is associated with LDH, AST, total bilirubin, reticulocyte count, and the hemolysis score in patients with sickle cell anemia. Ann Hematol. 2025, 104:2221-8. 10.1007\/s00277-025-06253-w","journal-title":"Ann Hematol"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s13340-015-0237-8","article-title":"Detection of hemoglobin variant HbS on the basis of discrepant HbA1c values in different measurement methods","volume":"7","author":"Takeda Y","year":"2016","unstructured":"Takeda Y, Kawanami D, Utsunomiya K. Detection of hemoglobin variant HbS on the basis of discrepant HbA1c values in different measurement methods. Diabetol Int. 2016, 7:199-203. 10.1007\/s13340-015-0237-8","journal-title":"Diabetol Int"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2022.03.028","article-title":"Analytical interference of 33 different hemoglobin variants on HbA1c measurements comparing high-performance liquid chromatography with whole blood enzymatic assay: a multi-center study","volume":"531","author":"Zechmeister B","year":"2022","unstructured":"Zechmeister B, Erden T, Kreutzig B, et al.. Analytical interference of 33 different hemoglobin variants on HbA1c measurements comparing high-performance liquid chromatography with whole blood enzymatic assay: a multi-center study. Clin Chim Acta. 2022, 531:145-51. 10.1016\/j.cca.2022.03.028","journal-title":"Clin Chim Acta"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/jalm\/jfaa042","article-title":"Evaluation of an ion-exchange HPLC device for HbA1c measurement","volume":"5","author":"Altawallbeh G","year":"2020","unstructured":"Altawallbeh G, Makky VF, Saenger AK, Peters JM, Killeen AA. Evaluation of an ion-exchange HPLC device for HbA1c measurement. J Appl Lab Med. 2020, 5:695-703. 10.1093\/jalm\/jfaa042","journal-title":"J Appl Lab Med"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2022.11.031","article-title":"Interference of hemoglobin variants in HbA(1c) quantification","volume":"539","author":"Yadav N","year":"2023","unstructured":"Yadav N, Kumar Mandal A. Interference of hemoglobin variants in HbA(1c) quantification. Clin Chim Acta. 2023, 539:55-65. 10.1016\/j.cca.2022.11.031","journal-title":"Clin Chim Acta"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/193229680900300307","article-title":"A review of variant hemoglobins interfering with hemoglobin A1c measurement","volume":"3","author":"Little RR","year":"2009","unstructured":"Little RR, Roberts WL. A review of variant hemoglobins interfering with hemoglobin A1c measurement. J Diabetes Sci Technol. 2009, 3:446-51. 10.1177\/193229680900300307","journal-title":"J Diabetes Sci Technol"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.20945\/2359-3997000000589","article-title":"Estimated average blood glucose level based on fructosamine level","volume":"67","author":"de Oliveira Andrade LJ","year":"2023","unstructured":"de Oliveira Andrade LJ, Bittencourt AM, de Brito LF, de Oliveira LM, de Oliveira GC. Estimated average blood glucose level based on fructosamine level. Arch Endocrinol Metab. 2023, 67:262-5. 10.20945\/2359-3997000000589","journal-title":"Arch Endocrinol Metab"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0212552","article-title":"Evaluation of agreement between hemoglobin A1c, fasting glucose, and fructosamine in Senegalese individuals with and without sickle-cell trait","volume":"14","author":"Skinner S","year":"2019","unstructured":"Skinner S, Diaw M, Ndour Mbaye M, et al.. Evaluation of agreement between hemoglobin A1c, fasting glucose, and fructosamine in Senegalese individuals with and without sickle-cell trait. PLoS One. 2019, 14:e0212552. 10.1371\/journal.pone.0212552","journal-title":"PLoS One"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.89130","article-title":"Use of fructosamine for glycemic monitoring in patients with sickle cell disease and diabetes: a systematic review","volume":"17","author":"Gaffar Mohammed M","year":"2025","unstructured":"Gaffar Mohammed M, Alsiddig NA, Ibrahim Hag LA. Use of fructosamine for glycemic monitoring in patients with sickle cell disease and diabetes: a systematic review. Cureus. 2025, 17:e89130. 10.7759\/cureus.89130","journal-title":"Cureus"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2016.09.017","article-title":"Erroneous HbA1c results in a patient with elevated HbC and HbF","volume":"462","author":"Adekanmbi J","year":"2016","unstructured":"Adekanmbi J, Higgins T, Rodriguez-Capote K, et al.. Erroneous HbA1c results in a patient with elevated HbC and HbF. Clin Chim Acta. 2016, 462:153-7. 10.1016\/j.cca.2016.09.017","journal-title":"Clin Chim Acta"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.gloepi.2023.100113","article-title":"Prevalence of medication adherence and glycemic control among patients with type 2 diabetes and influencing factors: a cross-sectional study","volume":"5","author":"Suprapti B","year":"2023","unstructured":"Suprapti B, Izzah Z, Anjani AG, Andarsari MR, Nilamsari WP, Nugroho CW. Prevalence of medication adherence and glycemic control among patients with type 2 diabetes and influencing factors: a cross-sectional study. Glob Epidemiol. 2023, 5:100113. 10.1016\/j.gloepi.2023.100113","journal-title":"Glob Epidemiol"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/471683-major-discordance-in-hemoglobin-a1c-measurement-in-sickle-cell-trait-effect-of-analytical-methods","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T05:27:03Z","timestamp":1774070823000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/471683-major-discordance-in-hemoglobin-a1c-measurement-in-sickle-cell-trait-effect-of-analytical-methods"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,20]]},"references-count":17,"URL":"https:\/\/doi.org\/10.7759\/cureus.105572","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3,20]]}}}