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2022, Número 3-4

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MEDICC Review 2022; 24 (3-4)


Adjusting Iron Deficiency for Inflammation in Cuban Children Aged Under Five Years: New Approaches Using Quadratic and Quantile Regression

Montero-Díaz M, Chávez-Chong C, Rodríguez-Martínez E, Pita-Rodríguez GM, Lambert-Lamazares B, Basabe-Tuero B, Alfonso-Sagué K

Idioma: Ingles.
Referencias bibliográficas: 29
Paginas: 36-45
Archivo PDF: 627.77 Kb.


RESUMEN

Sin resumen.


REFERENCIAS (EN ESTE ARTÍCULO)

  1. Beard JL, Murray-Kolb LE, Rosales FJ, SolomonNW, Angelilli ML. Interpretation of serumferritin concentrations as indicators of totalbodyiron stores in survey populations: the roleof biomarkers for the acute phase response.Am J Clin Nutr [Internet]. 2006 Dec [cited 2020Mar 6];84(6):1498–505. https://doi.org/10.1093/ajcn/84.6.1498

  2. World Health Organization [Internet]. Geneva:World Health Organization; c2022. Publicationsdetail. WHO guideline on use of ferritin concentrationsto assess iron status in individuals andpopulations; 2020 Apr 21 [cited 2021 Jan 2]. 72p. Available at: https://www.who.int/publications-detail-redirect/9789240000124

  3. Witte DL. Can serum ferritin be eff ectivelyinterpreted in the presence of the acute-phaseresponse? Clin Chem [Internet]. 1991 Apr 1[cited 2020 Mar 6];37(4):484–5. https://doi.org/10.1093/clinchem/37.4.484

  4. Raiten DJ, Ashour FAS, Ross AC, MeydaniSN, Dawson HD, Stephensen CB, et al. Infl ammationand Nutritional Science for Programs/Policies and Interpretation of Research Evidence(INSPIRE). J Nutr [Internet]. 2015 [cited 2020Mar 6];145(5):1039S–108S. https://doi.org/10.3945/jn.114.194571

  5. World Health Organization [Internet]. Geneva:World Health Organization; c2022. Serum ferritinconcentrations for the assessment of iron statusand iron defi ciency in populations; 2011 [cited2014 Jul 5]. Available at: https://www.who.int/vmnis/indicators/serum_ferritin.pdf

  6. Thurnham DI, McCabe LD, Haldar S, WieringaFT, Northrop-Clewes CA, McCabe GP. Adjustingplasma ferritin concentrations to removethe eff ects of subclinical infl ammation in theassessment of iron defi ciency: a meta-analysis.Am J Clin Nutr [Internet]. 2010 Jul 7 [cited 2020Dec 20];92(3):546–55. https://doi.org/10.3945/ajcn.2010.29284

  7. Namaste SM, Aaron GJ, Varadhan R, PeersonJM, Suchdev PS on behalf of the BRINDA WorkingGroup. Methodologic approach for the BiomarkersRefl ecting Infl ammation and NutritionalDeterminants of Anemia (BRINDA) project. AmJ Clin Nutr [Internet]. 2017 Jun 14 [cited 2020Dec 18];106(Suppl 1):333S–47S. https://doi.org/10.3945/ajcn.116.142273

  8. Mei Z, Namaste SM, Serdula M, Suchdev PS,Rohner F, Flores-Ayala R et al. Adjusting totalbody iron for infl ammation: Biomarkers Refl ectingInfl ammation and Nutritional Determinantsof Anemia (BRINDA) project. Am J Clin Nutr[Internet]. 2017 Jul [cited 2020 Dec 18];106(Suppl1):383S–9S. Epub 2017 Jun 14. https://doi:10.3945/ajcn.116.142307 PMID: 28615255;PMCID: PMC5490648.

  9. Suchdev PS, Williams AM, Mei Z, Flores-AyalaR, Pasricha SR, Rogers LM, et al. Assessmentof iron status in settings of infl ammation: challengesand potential approaches. Am J ClinNutr [Internet]. 2017 Oct 25 [cited 2020 Dec 18].https://doi.org/10.3945/ajcn.117.155937

  10. Mwangi MN, Echoka E, Knijff M, Kaduka L, WeremaBG, Kinya FM, et al. Iron status of Kenyanpregnant women after adjusting for infl ammationusing BRINDA regression analysis and other correctionmethods. Nutrients [Internet]. 2019 Feb16 [cited 2020 Dec 18];11(2):420. https://doi.org/10.3390/nu11020420

  11. Muriuki JM, Mentzer AJ, Webb EL, MorovatA, Kimita W, Ndungu FM, et al. Estimating theburden of iron defi ciency among African children.BMC Med [Internet]. 2020 Feb 27 [cited2020 Dec 19];18:31. https://doi.org/10.1186/s12916-020-1502-7

  12. Mbunga BK, Mapatano MA, Strand TA, GjengedalELF, Akilimali PZ, Engebretsen IMS.Prevalence of anemia, iron-defi ciency anemia,and associated factors among children aged1–5 years in the rural, malaria-endemic settingof Popokabaka, Democratic Republic of Congo:a cross-sectional study. Nutrients [Internet]. 2021Mar 21 [cited 2021 Jun 3];13(3):1010. https://doi.org/10.3390/nu13031010

  13. Greff euille V, Fortin S, Gibson R, Rohner F, WilliamA, Young MF, et al. Associations between zincand hemoglobin concentrations in preschool childrenand women of reproductive age: an analysisof representative survey data from the BiomarkersRefl ecting Infl ammation and Nutritional Determinantsof Anemia (BRINDA) Project. J Nutr [Internet].2021 May [cited 2021 Jun 3];151(5):1277–85.https://doi.org/10.1093/jn/nxaa444

  14. Orsango AZ, Habtu W, Lejisa T, Loha E, Lindtjørn B,Engebretsen IMS. Iron defi ciency anemia amongchildren aged 2–5 years in southern Ethiopia: acommunity-based cross-sectional study. Peer J[Internet]. 2021 [cited 2021 Jun 3];9:2021:e11649.https://doi.org/10.7717/peerj.11649

  15. Petry N, Olofi n I, Hurrell RF, Boy E, Wirth JP,Moursi M, et al. The proportion of anemia associatedwith iron defi ciency in low, medium, and highhuman development index countries: a systematicanalysis of national surveys. Nutrients [Internet].2016 Nov 2 [cited 2021 Jan 2];8:693. https://doi.org/10.3390/nu8110693

  16. Pita-Rodríguez GM, Chávez-Chong C, Lambert-Lamazares B, Montero-Díaz M, Selgas-LizanoR, Basabe-Tuero B, et al. Infl uence of infl ammationin assessing ferritin concentrations in Cubanpreschool children. MEDICC Rev [Internet]. 2021Jul–Oct [cited 2021 Dec 20];23(3):37–45. https://doi.org/10.37757/MR2021.V23.N3.7

  17. Suchdev PS, Namaste SM, Aaron GJ, Raiten DJ,Brown KH, Flores-Ayala R, et al. Overview of theBiomarkers Refl ecting Infl ammation and NutritionalDeterminants of Anemia (BRINDA) Project.Adv Nutr [Internet]. 2016 Mar 15 [cited 2021May 10];7(2):349–56. https://doi.org/10.3945/an.115.010215

  18. Cichon B, Ritz C, Fabiansen C, Christensen VB,Filteau S, Friis H, et al. Assessment of regressionmodels for adjustment of iron status biomarkersfor infl ammation in children with moderate acutemalnutrition in Burkina Faso. J Nutr [Internet].2017 Jan [cited 2020 Mar 6 ];147(1):125–32.https://doi.org/10.3945/jn.116.240028

  19. Namaste SML, Ou J, Williams AM, Young MF, YuEX, Suchdev PS, et al. Adjusting iron and vitaminA status in settings of infl ammation: a sensitivityanalysis of the Biomarkers Refl ecting Infl ammationand Nutritional Determinants of Anemia (BRINDA)approach. Am J Clin Nutr [Internet]. 2020 Aug4 [cited 2021 Jan 2];112(Suppl 1):458S–67S.https://doi.org/10.1093/ajcn/nqaa141

  20. Weisberg S. Applied Linear Regression [Internet].4th ed. New Jersey: John Wiley & Sons,Inc; 2014 [cited 2021 Jan 2]. 350 p. Available at:http://z.umn.edu/alr4ed

  21. Koenker R. Quantile Regression [Internet].Cambridge: Cambridge University Press; 2005[cited 2021 Jan 2]. 349 p. https://doi.org/10.1017/CBO9780511754098

  22. Hao L, Naiman DQ. Quantile Regression[Internet]. London: Sage publications; 2007 [cited 2020 Dec 6]. 126 p. https://doi.org/10.4135/9781412985550

  23. Davino C, Furno M, Vistocco D. Quantile Regression.Theory and Applications [Internet]. NewYork: Wiley; 2013 Dec [cited 2020 Dec 10]. 288p. Available at: https://www.wiley.com/en-us/Quantile+Regression:+Theory+and+Applications-p-9781119975281

  24. Huang Q, Zhang H, Chen J, He M. Quantileregression models and their applications: areview. J Biom Biostat [Internet]. 2017 [cited2020 Dec 10];8:354. https://doi.org/10.4172/21556180.1000354

  25. R Core Team. R: A Language and Environment forStatistical Computing [Internet]. Vienna: R Foundationfor Statistical Computing; 2019 [cited 2020Dec 10]. Available at: https://www.R-project.org/

  26. Koenker R. quantreg: Quantile Regression. Rpackage version 5.21 [Internet]. 2016 [cited 2020Dec 10]. Available at: https://cran.r-project.org/web/packages/quantreg/quantreg.pdf

  27. Bassett G, Koenker R. Tests of linear hypothesesand L1 estimation. Econometrica. 1982Nov;50(6):1577–84.

  28. Koenker R, Machado JAF. Goodness of fi t andrelated inference processes for quantile regression.J Am Statistical Assoc. 1999;94(448):1296–310.https://doi.org/10.1080/01621459.1999.10473882

  29. Lynch S, Pfeiff er CM, Georgieff MK, BrittenhamG, Fairweather-Tait S, Hurrell RF et al. Biomarkersof Nutrition for Development (BOND)—Iron Review. J Nutr [Internet]. 2018 Jun 1[cited 2020 Dec 10];148(Suppl 1):1001S–67S.https://doi.org/10.1093/jn/nxx036




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