{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T15:24:34Z","timestamp":1766503474217,"version":"3.40.5"},"reference-count":34,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>The objective of the study was to evaluate the performance of the Abbott Alinity hq advanced multi angle polarized scatter separation (MAPSS<jats:sup>TM<\/jats:sup>)\u2010based optical RBC technology, for the differentiation between iron deficiency anemia (IDA) and \u03b2\u2010thalassemia carrier status.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Four hundred and sixty\u2010four samples were analyzed. 228 were healthy controls, 30 were \u03b2\u2010thalassemia carriers, and 40 were IDA. Receiver operating characteristics analysis evaluated the performance of red cell parameters and mathematical formulas.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>RBC concentration was the most efficient discriminant (area under the curve; AUC of 0.963, Youden Index of 0.88) followed by red blood cell distribution width in size distribution (AUC of 0.960 and YI of 0.86), and red blood cell distribution width coefficient of variation (AUC of 0.924, and YI of 0.74). The absolute reticulocyte concentration showed good diagnostic efficiency, with AUC of 0.808. Hemoglobin distribution width, the %CV of directly measured cellular hemoglobin concentration, and CHCr, the average hemoglobin concentration of reticulocytes have emerged as novel discriminating parameters, with AUC of 0.749 and 0.785, respectively.<\/jats:p><jats:p>The England and Fraser index was the best discriminating mathematical formula based on Youden Index of 0.91. The Ricerca, red blood cell distribution width index, Green and King, and Mentzner Index formulas also showed strong discriminative power. The Shine and Lal index, together with the recent mathematical formula M\/H, (ratio of percent microcytic and hypochromic red blood cells) demonstrated moderate performance with AUC of 0.796 and 0.740, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Extended red cell analysis delivered by the advanced optical technology on the Alinity hq hematology analyzer has efficient diagnostic utility in the initial discrimination of the two most common microcytic anemias: IDA and \u03b2\u2010thalassemia trait.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.13663","type":"journal-article","created":{"date-parts":[[2021,8,2]],"date-time":"2021-08-02T06:11:08Z","timestamp":1627884668000},"page":"1635-1643","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Clinical utility of Abbott Alinity hq extended red blood cell parameters in differentiating \u03b2\u2010thalassemia trait and iron deficiency anemia"],"prefix":"10.1111","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6415-205X","authenticated-orcid":false,"given":"Zainab","family":"Mukhtar","sequence":"first","affiliation":[{"name":"Abbott, Hematology, Santa Clara CA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabatino","family":"Valente","sequence":"additional","affiliation":[{"name":"Clinical Pathology Department \u201cSan Giovanni Calibita\" Fatebenefratelli Hospital Rome Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Loredana","family":"Masi","sequence":"additional","affiliation":[{"name":"Clinical Pathology Department \u201cSan Giovanni Calibita\" Fatebenefratelli Hospital Rome Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriella","family":"Lakos","sequence":"additional","affiliation":[{"name":"Abbott, Hematology, Santa Clara CA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabrizio","family":"Papa","sequence":"additional","affiliation":[{"name":"Clinical Pathology Department \u201cSan Giovanni Calibita\" Fatebenefratelli Hospital Rome Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/cdn\/nzaa053_035"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajh.24820"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.12527"},{"volume-title":"BMJ Best Practice. 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