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Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study
The percentage of hypochromic red blood cells (%HRC) estimates the availability of iron by evaluating the degree of hemoglobinization. We investigated whether %HRC was a predictor of anemia in patients undergoing hemodialysis. We recruited 142 patients undergoing routine hemodialysis between 2017 an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688501/ https://www.ncbi.nlm.nih.gov/pubmed/34931015 http://dx.doi.org/10.1038/s41598-021-03746-2 |
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author | Kee, Youn Kyung Jeon, Hee Jung Oh, Jieun Shin, Dong Ho |
author_facet | Kee, Youn Kyung Jeon, Hee Jung Oh, Jieun Shin, Dong Ho |
author_sort | Kee, Youn Kyung |
collection | PubMed |
description | The percentage of hypochromic red blood cells (%HRC) estimates the availability of iron by evaluating the degree of hemoglobinization. We investigated whether %HRC was a predictor of anemia in patients undergoing hemodialysis. We recruited 142 patients undergoing routine hemodialysis between 2017 and 2019. Delta hemoglobin level (ΔHb)(1mo-baseline) was calculated as the difference between the hemoglobin level at 1 month after study enrollment and that at the time of study enrollment. Development of anemia was defined as hemoglobin level ≤ 15% of baseline. The median %HRC was 3.1%. There was a significant negative correlation between (ΔHb)(1mo- baseline) and %HRC (r = − 0.63, P < 0.001). The incidence of anemia was significantly higher in patients with %HRC > 3.1% than in those with %HRC ≤ 3.1%. In the multivariate logistic regression analysis, %HRC was significantly related to the development of anemia (odds ratio 2.57, 95% confidence interval [CI] 1.72–3.85, P < 0.001). The best cutoff value for %HRC to predict the development of anemia was 4.3%, with a sensitivity and specificity of 67.74 (95% CI, 54.7–79.1) and 97.50 (95% CI, 91.3– 99.7), respectively. %HRC is an independent predictor of anemia in patients undergoing hemodialysis. %HRC ≤ 4.3% is an early marker to consider changing the anemia treatment. |
format | Online Article Text |
id | pubmed-8688501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86885012021-12-22 Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study Kee, Youn Kyung Jeon, Hee Jung Oh, Jieun Shin, Dong Ho Sci Rep Article The percentage of hypochromic red blood cells (%HRC) estimates the availability of iron by evaluating the degree of hemoglobinization. We investigated whether %HRC was a predictor of anemia in patients undergoing hemodialysis. We recruited 142 patients undergoing routine hemodialysis between 2017 and 2019. Delta hemoglobin level (ΔHb)(1mo-baseline) was calculated as the difference between the hemoglobin level at 1 month after study enrollment and that at the time of study enrollment. Development of anemia was defined as hemoglobin level ≤ 15% of baseline. The median %HRC was 3.1%. There was a significant negative correlation between (ΔHb)(1mo- baseline) and %HRC (r = − 0.63, P < 0.001). The incidence of anemia was significantly higher in patients with %HRC > 3.1% than in those with %HRC ≤ 3.1%. In the multivariate logistic regression analysis, %HRC was significantly related to the development of anemia (odds ratio 2.57, 95% confidence interval [CI] 1.72–3.85, P < 0.001). The best cutoff value for %HRC to predict the development of anemia was 4.3%, with a sensitivity and specificity of 67.74 (95% CI, 54.7–79.1) and 97.50 (95% CI, 91.3– 99.7), respectively. %HRC is an independent predictor of anemia in patients undergoing hemodialysis. %HRC ≤ 4.3% is an early marker to consider changing the anemia treatment. Nature Publishing Group UK 2021-12-20 /pmc/articles/PMC8688501/ /pubmed/34931015 http://dx.doi.org/10.1038/s41598-021-03746-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kee, Youn Kyung Jeon, Hee Jung Oh, Jieun Shin, Dong Ho Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study |
title | Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study |
title_full | Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study |
title_fullStr | Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study |
title_full_unstemmed | Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study |
title_short | Hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study |
title_sort | hypochromic red cells as predictors of anemia in patients undergoing hemodialysis: an observational retrospective study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688501/ https://www.ncbi.nlm.nih.gov/pubmed/34931015 http://dx.doi.org/10.1038/s41598-021-03746-2 |
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