@article{96b6414281334d8e93a89766b82d2efc,
title = "Data-driven physiologic thresholds for iron deficiency associated with hematologic decline",
abstract = "Iron-deficiency contributes to a ∼50% of anemia prevalence worldwide, but reference intervals for iron status tests are not optimized for anemia diagnosis. To address this limitation, we identified the serum ferritin (SF) thresholds associated with hematologic decline in iron-deficient patients, and the SF thresholds from which an SF increase was associated with hematologic improvement. Paired red blood cell and SF measurements were analysed from two adult cohorts at Massachusetts General Hospital (MGH), from 2008-2011 (N = 48 409), and 2016-2018 (N = 10 042). Inter-patient measurements in the first cohort were used to define optimal SF thresholds based on the physiologic relationship between SF and red cell measurements. Intra-patient measurements (1-26 weeks apart) in the second cohort were used to identify SF thresholds from which an SF increase was associated, with an increase in red cell measurements. The identified optimal SF thresholds varied with age, sex and red cell measure. Thresholds associated with a ∼5% decline in red cell index were typically in the range 10-25 ng/mL. Thresholds for younger women (18-45 year) were ∼5 ng/mL lower than for older women (60-95 years), and ∼10 ng/mL lower than for men. Thresholds from which a subsequent increase in SF was associated with a concomitant increase in red cell measure showed similar patterns: younger women had lower thresholds (∼15 ng/mL) than older women (∼25 ng/mL), or men (∼35 ng/mL). These results suggest that diagnostic accuracy may be improved by setting different SF thresholds for younger women, older women, and men. This study illustrates how clinical databases may provide physiologic evidence for improved diagnostic thresholds.",
author = "Foy, {Brody H.} and Aodong Li and McClung, {James P.} and Rajesh Ranganath and Higgins, {John M.}",
note = "Funding Information: We thank the Partners Healthcare Research Patient Data Registry group for facilitating use of their database. Portions of the computational analysis in this study were conducted on the Orchestra High Performance Compute Cluster at Harvard Medical School. This work was supported in part by NIH grant DP2DK098087 to JMH. The authors thank Mike Sawka and Jonathan Carlson for helpful discussions. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or as reflecting the views of the Army or the Department of Defense. Any citations of commercial organizations and trade names in this report do not constitute an official Department of the Army endorsement of approval of the products or services of these organizations. Funding Information: We thank the Partners Healthcare Research Patient Data Registry group for facilitating use of their database. Portions of the computational analysis in this study were conducted on the Orchestra High Performance Compute Cluster at Harvard Medical School. This work was supported in part by NIH grant DP2DK098087 to JMH. The authors thank Mike Sawka and Jonathan Carlson for helpful discussions. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or as reflecting the views of the Army or the Department of Defense. Any citations of commercial organizations and trade names in this report do not constitute an official Department of the Army endorsement of approval of the products or services of these organizations. Publisher Copyright: {\textcopyright} 2019 Wiley Periodicals, Inc.",
year = "2020",
month = mar,
day = "1",
doi = "10.1002/ajh.25706",
language = "English (US)",
volume = "95",
pages = "302--309",
journal = "American Journal of Hematology",
issn = "0361-8609",
publisher = "Wiley-Liss Inc.",
number = "3",
}