Cargando…

Estimating the burden of iron deficiency among African children

BACKGROUND: Iron deficiency (ID) is a major public health burden in African children and accurate prevalence estimates are important for effective nutritional interventions. However, ID may be incorrectly estimated in Africa because most measures of iron status are altered by inflammation and infect...

Descripción completa

Detalles Bibliográficos
Autores principales: Muriuki, John Muthii, Mentzer, Alexander J., Webb, Emily L., Morovat, Alireza, Kimita, Wandia, Ndungu, Francis M., Macharia, Alex W., Crane, Rosie J., Berkley, James A., Lule, Swaib A., Cutland, Clare, Sirima, Sodiomon B., Diarra, Amidou, Tiono, Alfred B., Bejon, Philip, Madhi, Shabir A., Hill, Adrian V. S., Prentice, Andrew M., Suchdev, Parminder S., Elliott, Alison M., Williams, Thomas N., Atkinson, Sarah H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045745/
https://www.ncbi.nlm.nih.gov/pubmed/32102669
http://dx.doi.org/10.1186/s12916-020-1502-7
_version_ 1783501837544980480
author Muriuki, John Muthii
Mentzer, Alexander J.
Webb, Emily L.
Morovat, Alireza
Kimita, Wandia
Ndungu, Francis M.
Macharia, Alex W.
Crane, Rosie J.
Berkley, James A.
Lule, Swaib A.
Cutland, Clare
Sirima, Sodiomon B.
Diarra, Amidou
Tiono, Alfred B.
Bejon, Philip
Madhi, Shabir A.
Hill, Adrian V. S.
Prentice, Andrew M.
Suchdev, Parminder S.
Elliott, Alison M.
Williams, Thomas N.
Atkinson, Sarah H.
author_facet Muriuki, John Muthii
Mentzer, Alexander J.
Webb, Emily L.
Morovat, Alireza
Kimita, Wandia
Ndungu, Francis M.
Macharia, Alex W.
Crane, Rosie J.
Berkley, James A.
Lule, Swaib A.
Cutland, Clare
Sirima, Sodiomon B.
Diarra, Amidou
Tiono, Alfred B.
Bejon, Philip
Madhi, Shabir A.
Hill, Adrian V. S.
Prentice, Andrew M.
Suchdev, Parminder S.
Elliott, Alison M.
Williams, Thomas N.
Atkinson, Sarah H.
author_sort Muriuki, John Muthii
collection PubMed
description BACKGROUND: Iron deficiency (ID) is a major public health burden in African children and accurate prevalence estimates are important for effective nutritional interventions. However, ID may be incorrectly estimated in Africa because most measures of iron status are altered by inflammation and infections such as malaria. Through the current study, we have assessed different approaches to the prediction of iron status and estimated the burden of ID in African children. METHODS: We assayed iron and inflammatory biomarkers in 4853 children aged 0–8 years from Kenya, Uganda, Burkina Faso, South Africa, and The Gambia. We described iron status and its relationship with age, sex, inflammation, and malaria parasitemia. We defined ID using the WHO guideline (ferritin < 12 μg/L or < 30 μg/L in the presence of inflammation in children < 5 years old or < 15 μg/L in children ≥ 5 years old). We compared this with a recently proposed gold standard, which uses regression-correction for ferritin levels based on the relationship between ferritin levels, inflammatory markers, and malaria. We further investigated the utility of other iron biomarkers in predicting ID using the inflammation and malaria regression-corrected estimate as a gold standard. RESULTS: The prevalence of ID was highest at 1 year of age and in male infants. Inflammation and malaria parasitemia were associated with all iron biomarkers, although transferrin saturation was least affected. Overall prevalence of WHO-defined ID was 34% compared to 52% using the inflammation and malaria regression-corrected estimate. This unidentified burden of ID increased with age and was highest in countries with high prevalence of inflammation and malaria, where up to a quarter of iron-deficient children were misclassified as iron replete. Transferrin saturation < 11% most closely predicted the prevalence of ID according to the regression-correction gold standard. CONCLUSIONS: The prevalence of ID is underestimated in African children when defined using the WHO guidelines, especially in malaria-endemic populations, and the use of transferrin saturation may provide a more accurate approach. Further research is needed to identify the most accurate measures for determining the prevalence of ID in sub-Saharan Africa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-020-1502-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-7045745
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-70457452020-03-03 Estimating the burden of iron deficiency among African children Muriuki, John Muthii Mentzer, Alexander J. Webb, Emily L. Morovat, Alireza Kimita, Wandia Ndungu, Francis M. Macharia, Alex W. Crane, Rosie J. Berkley, James A. Lule, Swaib A. Cutland, Clare Sirima, Sodiomon B. Diarra, Amidou Tiono, Alfred B. Bejon, Philip Madhi, Shabir A. Hill, Adrian V. S. Prentice, Andrew M. Suchdev, Parminder S. Elliott, Alison M. Williams, Thomas N. Atkinson, Sarah H. BMC Med Research Article BACKGROUND: Iron deficiency (ID) is a major public health burden in African children and accurate prevalence estimates are important for effective nutritional interventions. However, ID may be incorrectly estimated in Africa because most measures of iron status are altered by inflammation and infections such as malaria. Through the current study, we have assessed different approaches to the prediction of iron status and estimated the burden of ID in African children. METHODS: We assayed iron and inflammatory biomarkers in 4853 children aged 0–8 years from Kenya, Uganda, Burkina Faso, South Africa, and The Gambia. We described iron status and its relationship with age, sex, inflammation, and malaria parasitemia. We defined ID using the WHO guideline (ferritin < 12 μg/L or < 30 μg/L in the presence of inflammation in children < 5 years old or < 15 μg/L in children ≥ 5 years old). We compared this with a recently proposed gold standard, which uses regression-correction for ferritin levels based on the relationship between ferritin levels, inflammatory markers, and malaria. We further investigated the utility of other iron biomarkers in predicting ID using the inflammation and malaria regression-corrected estimate as a gold standard. RESULTS: The prevalence of ID was highest at 1 year of age and in male infants. Inflammation and malaria parasitemia were associated with all iron biomarkers, although transferrin saturation was least affected. Overall prevalence of WHO-defined ID was 34% compared to 52% using the inflammation and malaria regression-corrected estimate. This unidentified burden of ID increased with age and was highest in countries with high prevalence of inflammation and malaria, where up to a quarter of iron-deficient children were misclassified as iron replete. Transferrin saturation < 11% most closely predicted the prevalence of ID according to the regression-correction gold standard. CONCLUSIONS: The prevalence of ID is underestimated in African children when defined using the WHO guidelines, especially in malaria-endemic populations, and the use of transferrin saturation may provide a more accurate approach. Further research is needed to identify the most accurate measures for determining the prevalence of ID in sub-Saharan Africa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-020-1502-7) contains supplementary material, which is available to authorized users. BioMed Central 2020-02-27 /pmc/articles/PMC7045745/ /pubmed/32102669 http://dx.doi.org/10.1186/s12916-020-1502-7 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Muriuki, John Muthii
Mentzer, Alexander J.
Webb, Emily L.
Morovat, Alireza
Kimita, Wandia
Ndungu, Francis M.
Macharia, Alex W.
Crane, Rosie J.
Berkley, James A.
Lule, Swaib A.
Cutland, Clare
Sirima, Sodiomon B.
Diarra, Amidou
Tiono, Alfred B.
Bejon, Philip
Madhi, Shabir A.
Hill, Adrian V. S.
Prentice, Andrew M.
Suchdev, Parminder S.
Elliott, Alison M.
Williams, Thomas N.
Atkinson, Sarah H.
Estimating the burden of iron deficiency among African children
title Estimating the burden of iron deficiency among African children
title_full Estimating the burden of iron deficiency among African children
title_fullStr Estimating the burden of iron deficiency among African children
title_full_unstemmed Estimating the burden of iron deficiency among African children
title_short Estimating the burden of iron deficiency among African children
title_sort estimating the burden of iron deficiency among african children
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045745/
https://www.ncbi.nlm.nih.gov/pubmed/32102669
http://dx.doi.org/10.1186/s12916-020-1502-7
work_keys_str_mv AT muriukijohnmuthii estimatingtheburdenofirondeficiencyamongafricanchildren
AT mentzeralexanderj estimatingtheburdenofirondeficiencyamongafricanchildren
AT webbemilyl estimatingtheburdenofirondeficiencyamongafricanchildren
AT morovatalireza estimatingtheburdenofirondeficiencyamongafricanchildren
AT kimitawandia estimatingtheburdenofirondeficiencyamongafricanchildren
AT ndungufrancism estimatingtheburdenofirondeficiencyamongafricanchildren
AT machariaalexw estimatingtheburdenofirondeficiencyamongafricanchildren
AT cranerosiej estimatingtheburdenofirondeficiencyamongafricanchildren
AT berkleyjamesa estimatingtheburdenofirondeficiencyamongafricanchildren
AT luleswaiba estimatingtheburdenofirondeficiencyamongafricanchildren
AT cutlandclare estimatingtheburdenofirondeficiencyamongafricanchildren
AT sirimasodiomonb estimatingtheburdenofirondeficiencyamongafricanchildren
AT diarraamidou estimatingtheburdenofirondeficiencyamongafricanchildren
AT tionoalfredb estimatingtheburdenofirondeficiencyamongafricanchildren
AT bejonphilip estimatingtheburdenofirondeficiencyamongafricanchildren
AT madhishabira estimatingtheburdenofirondeficiencyamongafricanchildren
AT hilladrianvs estimatingtheburdenofirondeficiencyamongafricanchildren
AT prenticeandrewm estimatingtheburdenofirondeficiencyamongafricanchildren
AT suchdevparminders estimatingtheburdenofirondeficiencyamongafricanchildren
AT elliottalisonm estimatingtheburdenofirondeficiencyamongafricanchildren
AT williamsthomasn estimatingtheburdenofirondeficiencyamongafricanchildren
AT atkinsonsarahh estimatingtheburdenofirondeficiencyamongafricanchildren