{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T18:03:14Z","timestamp":1762624994219,"version":"3.41.2"},"reference-count":26,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T00:00:00Z","timestamp":1681171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cardiovasc. Med."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Impaired iron transport (IIT) is a form of iron deficiency (ID) defined as transferrin saturation (TSAT)\u2009&amp;lt;\u200920% irrespective of serum ferritin levels. It is frequently observed in heart failure (HF) where it negatively affects prognosis irrespective of anaemia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>In this retrospective study we searched for a surrogate biomarker of IIT.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We tested the predictive power of red distribution width (RDW), mean corpuscular volume (MCV) and mean corpuscular haemoglobin concentration (MCHC) to detect IIT in 797 non-anaemic HF patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>At ROC analysis, RDW provided the best AUC (0.6928). An RDW cut-off value of 14.2% identified patients with IIT, with positive and negative predictive values of 48 and 80%, respectively. Comparison between the true and false negative groups showed that estimated glomerular filtration rate (eGFR) was significantly higher (<jats:italic>p<\/jats:italic>\u2009=\u20090.0092) in the true negative vs. false negative group. Therefore, we divided the study population according to eGFR value: 109 patients with eGFR\u2009\u2265\u200990\u2005ml\/min\/1.73\u2005m<jats:sup>2<\/jats:sup>, 318 patients with eGFR 60\u201389\u2005ml\/min\/1.73\u2005m<jats:sup>2<\/jats:sup>, 308 patients with eGFR 30\u201359\u2005ml\/min\/1.73\u2005m<jats:sup>2<\/jats:sup> and 62 patients with eGFR\u2009&amp;lt;\u200930\u2005ml\/min\/1.73\u2005m<jats:sup>2<\/jats:sup>. In the first group, positive and negative predictive values were 48 and 81% respectively, 51 and 85% in the second group, 48 and 73% in the third group and 43 and 67% in the fourth group.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>RDW may be seen as a reliable marker to exclude IIT in non-anaemic HF patients with eGFR \u226560\u2005ml\/min\/1.73\u2005m<jats:sup>2<\/jats:sup>.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fcvm.2023.1133233","type":"journal-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T04:33:45Z","timestamp":1681187625000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Is red distribution width a valid tool to predict impaired iron transport in heart 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