The mortality risk of elevated serum transferrin saturation and consumption of dietary iron. 2004

Arch G Mainous, and Brian Wells, and Peter J Carek, and James M Gill, and Mark E Geesey
Department of Family Medicine, Medical University of South Carolina, Charleston, SC 29425, USA. mainouag@musc.edu

BACKGROUND Recent data shows an increased mortality risk associated with elevated transferrin saturation. Because ingestion of dietary iron may contribute to iron overload in persons with elevated transferrin saturation, we investigated the relationship between elevated transferrin saturation, ingestion of dietary iron and red meat, and mortality. METHODS This 12-year cohort study used data from the second National Health and Nutrition Examination Survey 1976-1980 (NHANES II) and the NHANES II Mortality Study 1992. Population estimates were based on 9,229 persons aged 35 to 70 years at baseline. A Cox proportional hazards analysis was performed based on levels of transferrin saturation, intake of dietary iron, and intake of red meat. The analysis was conducted while controlling for demographics, severity of illness, body mass index, and smoking status. RESULTS Unadjusted analyses indicated that those who had a high transferrin saturation and reported high dietary iron or red meat consumption had an increased mortality risk. The adjusted survival analysis indicated that persons with elevated transferrin saturation who reported high dietary iron intake had a hazard ratio for death of 2.90 (95% confidence interval [CI], 1.39-6.04) compared with those with normal transferrin saturation levels and reported low dietary iron intake. Persons who had a high transferrin saturation and reported high red meat consumption also had an increased hazard ratio for death (2.26; 95% CI, 1.45-3.52) compared with those who had normal transferrin saturation and reported low red meat consumption. CONCLUSIONS Ingestion of large quantities of dietary iron and red meat in persons with high transferrin saturation is associated with an increase in mortality. Simple dietary restrictions may reduce the mortality risk associated with high transferrin saturation.

UI MeSH Term Description Entries
D008297 Male Males
D008460 Meat The edible portions of any animal used for food including cattle, swine, goats/sheep, poultry, fish, shellfish, and game. Meats
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D004032 Diet Regular course of eating and drinking adopted by a person or animal. Diets
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective
D014168 Transferrin An iron-binding beta1-globulin that is synthesized in the LIVER and secreted into the blood. It plays a central role in the transport of IRON throughout the circulation. A variety of transferrin isoforms exist in humans, including some that are considered markers for specific disease states. Siderophilin,Isotransferrin,Monoferric Transferrins,Serotransferrin,Transferrin B,Transferrin C,beta 2-Transferrin,beta-1 Metal-Binding Globulin,tau-Transferrin,Globulin, beta-1 Metal-Binding,Metal-Binding Globulin, beta-1,Transferrins, Monoferric,beta 1 Metal Binding Globulin,beta 2 Transferrin,tau Transferrin
D016019 Survival Analysis A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function. Analysis, Survival,Analyses, Survival,Survival Analyses

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