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Factors that affect serum levels of ferritin in Australian adults and implications for Follow-up
Journal article   Open access   Peer reviewed

Factors that affect serum levels of ferritin in Australian adults and implications for Follow-up

E.J. McKinnon, E. Rossi, J.P. Beilby, D. Trinder and J.K. Olynyk
Clinical Gastroenterology and Hepatology, Vol.12(1), pp.101-108
2014
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Abstract

Background & Aims Serum levels of ferritin are commonly measured to assess iron stores but are affected by factors such as obesity and chronic disease. Published reference ranges have not changed in decades, and the number of patients whose levels exceed the upper limits has been increasing. As a result, more patients are evaluated for iron overload. Methods We compared serum levels of ferritin in 1188 Australian adults who participated in the 2005 Busselton Population Survey with levels from the 1995 survey. Parametric regression was used to assess the effects of body weight and biochemical parameters on serum level of ferritin to derive contemporary population-appropriate reference ranges. Results In 2005, age-adjusted levels of ferritin were 21% higher in men (P < .0001) and 10% higher in women (P = .01) than in 1995; 31% of men exceeded levels of 300 μg/L, compared with 23% in 1995. Body mass index (BMI) ≥25 kg/m2 was associated with higher levels of ferritin in men ≥35 years old and in postmenopausal women (P ≤ .002). Serum level of γ-glutamyltransferase (GGT) correlated with serum level of ferritin (P < .0001). In men, the estimated 95th percentiles ranged from 353 to 495 μg/L (<35 years), from 350 to 511 μg/L (≥35 years, BMI <25 kg/m2), and from 413 to 696 μg/L (≥35 years, BMI ≥25 kg/m2) when GGT levels were 10–75 IU/L. In women, the 95th percentiles ranged from 106 to 235 μg/L (premenopausal), from 222 to 323 μg/L (postmenopausal, BMI <25 kg/m2), and from 249 to 422 μg/L (postmenopausal, BMI ≥25 kg/m2) when GGT levels were 8–45 IU/L. Conclusion Serum levels of ferritin increased significantly between 1995 and 2005. Reference ranges that accommodate demographic and biomedical variations will assist clinicians in identifying individuals who require further evaluation for iron overload.

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Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.184 Physiology & Metals
1.184.573 Iron Metabolism
Web Of Science research areas
Gastroenterology & Hepatology
ESI research areas
Clinical Medicine
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