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Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project

Background: Total body iron (TBI) that is calculated from ferritin and soluble transferrin receptor (sTfR) allows for the evaluation of the full range of iron status from deficiency to excess. However, both ferritin and sTfR are affected by inflammation and malaria, which may require a statistical a...

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Autores principales: Mei, Zuguo, Namaste, Sorrel ML, Serdula, Mary, Suchdev, Parminder S, Rohner, Fabian, Flores-Ayala, Rafael, Addo, O Yaw, Raiten, Daniel J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Nutrition 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5490648/
https://www.ncbi.nlm.nih.gov/pubmed/28615255
http://dx.doi.org/10.3945/ajcn.116.142307
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author Mei, Zuguo
Namaste, Sorrel ML
Serdula, Mary
Suchdev, Parminder S
Rohner, Fabian
Flores-Ayala, Rafael
Addo, O Yaw
Raiten, Daniel J
author_facet Mei, Zuguo
Namaste, Sorrel ML
Serdula, Mary
Suchdev, Parminder S
Rohner, Fabian
Flores-Ayala, Rafael
Addo, O Yaw
Raiten, Daniel J
author_sort Mei, Zuguo
collection PubMed
description Background: Total body iron (TBI) that is calculated from ferritin and soluble transferrin receptor (sTfR) allows for the evaluation of the full range of iron status from deficiency to excess. However, both ferritin and sTfR are affected by inflammation and malaria, which may require a statistical adjustment. TBI has been used to assess iron status in the United States, but its use worldwide and in settings with inflammation has been limited. Objective: We examine whether inflammation-adjusted ferritin and sTfR concentrations affect TBI values and the prevalence of low TBI (<0 mg/kg) in preschool children (PSC) (age range: 6–59 mo) and women of reproductive age (WRA) (age range: 15–49 y). Design: Cross-sectional data for PSC (8 surveys; n = 8413) and WRA (4 surveys; n = 4258) from the Biomarkers Reflecting the Inflammation and Nutritional Determinants of Anemia (BRINDA) project were analyzed individually and combined. TBI and the prevalence of low TBI were compared following 3 adjustment approaches for ferritin and sTfR: 1) the exclusion of individuals with inflammation (C-reactive protein concentration >5 mg/L or α-1-acid glycoprotein concentration >1 g/L), 2) the application of arithmetic correction factors, and 3) the use of regression correction. Results: Regardless of the method that was used to adjust ferritin and sTfR for inflammation, the adjusted mean TBI decreased in both PSC and WRA compared with unadjusted values. Subsequently, inflammation-adjusted TBI increased the prevalence of low TBI by a median of 4–14 percentage points (pps) in PSC and 1–3 pps in WRA compared with unadjusted TBI. The regression approach resulted in a greater median increase than was achieved with the exclusion or correction-factor approaches, and accounting for malaria in addition to inflammation did not have an added effect on the prevalence estimates. Conclusion: The prevalence of low TBI is underestimated if it is not adjusted by inflammation, particularly in children living in areas with a high prevalence of inflammation.
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spelling pubmed-54906482017-07-19 Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project Mei, Zuguo Namaste, Sorrel ML Serdula, Mary Suchdev, Parminder S Rohner, Fabian Flores-Ayala, Rafael Addo, O Yaw Raiten, Daniel J Am J Clin Nutr Supplement—Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) Background: Total body iron (TBI) that is calculated from ferritin and soluble transferrin receptor (sTfR) allows for the evaluation of the full range of iron status from deficiency to excess. However, both ferritin and sTfR are affected by inflammation and malaria, which may require a statistical adjustment. TBI has been used to assess iron status in the United States, but its use worldwide and in settings with inflammation has been limited. Objective: We examine whether inflammation-adjusted ferritin and sTfR concentrations affect TBI values and the prevalence of low TBI (<0 mg/kg) in preschool children (PSC) (age range: 6–59 mo) and women of reproductive age (WRA) (age range: 15–49 y). Design: Cross-sectional data for PSC (8 surveys; n = 8413) and WRA (4 surveys; n = 4258) from the Biomarkers Reflecting the Inflammation and Nutritional Determinants of Anemia (BRINDA) project were analyzed individually and combined. TBI and the prevalence of low TBI were compared following 3 adjustment approaches for ferritin and sTfR: 1) the exclusion of individuals with inflammation (C-reactive protein concentration >5 mg/L or α-1-acid glycoprotein concentration >1 g/L), 2) the application of arithmetic correction factors, and 3) the use of regression correction. Results: Regardless of the method that was used to adjust ferritin and sTfR for inflammation, the adjusted mean TBI decreased in both PSC and WRA compared with unadjusted values. Subsequently, inflammation-adjusted TBI increased the prevalence of low TBI by a median of 4–14 percentage points (pps) in PSC and 1–3 pps in WRA compared with unadjusted TBI. The regression approach resulted in a greater median increase than was achieved with the exclusion or correction-factor approaches, and accounting for malaria in addition to inflammation did not have an added effect on the prevalence estimates. Conclusion: The prevalence of low TBI is underestimated if it is not adjusted by inflammation, particularly in children living in areas with a high prevalence of inflammation. American Society for Nutrition 2017-07 2017-06-14 /pmc/articles/PMC5490648/ /pubmed/28615255 http://dx.doi.org/10.3945/ajcn.116.142307 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the CC-BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Supplement—Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA)
Mei, Zuguo
Namaste, Sorrel ML
Serdula, Mary
Suchdev, Parminder S
Rohner, Fabian
Flores-Ayala, Rafael
Addo, O Yaw
Raiten, Daniel J
Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project
title Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project
title_full Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project
title_fullStr Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project
title_full_unstemmed Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project
title_short Adjusting total body iron for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project
title_sort adjusting total body iron for inflammation: biomarkers reflecting inflammation and nutritional determinants of anemia (brinda) project
topic Supplement—Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5490648/
https://www.ncbi.nlm.nih.gov/pubmed/28615255
http://dx.doi.org/10.3945/ajcn.116.142307
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