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Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States
BACKGROUND: Anemia is common in non-dialysis-dependent chronic kidney disease (NDD-CKD) patients, but detailed information on prevalence and treatment is lacking. METHODS: We evaluated anemia prevalence and treatment using two datasets: the Medicare 20% random sample (ages 66–85 years), and the Truv...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856223/ https://www.ncbi.nlm.nih.gov/pubmed/29544446 http://dx.doi.org/10.1186/s12882-018-0861-1 |
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author | St. Peter, Wendy L. Guo, Haifeng Kabadi, Shaum Gilbertson, David T. Peng, Yi Pendergraft, Trudy Li, Suying |
author_facet | St. Peter, Wendy L. Guo, Haifeng Kabadi, Shaum Gilbertson, David T. Peng, Yi Pendergraft, Trudy Li, Suying |
author_sort | St. Peter, Wendy L. |
collection | PubMed |
description | BACKGROUND: Anemia is common in non-dialysis-dependent chronic kidney disease (NDD-CKD) patients, but detailed information on prevalence and treatment is lacking. METHODS: We evaluated anemia prevalence and treatment using two datasets: the Medicare 20% random sample (ages 66–85 years), and the Truven Health MarketScan database (ages 18–63 years). We selected stage 3–5 NDD-CKD patients with and without anemia from both databases during 2011–2013. We evaluated anemia prevalence and treatment (erythropoietin stimulating agents [ESAs], intravenous [IV] iron, red blood cell [RBC] transfusions) following anemia diagnosis during a 1-year baseline period, and healthcare utilization during a 1-year follow-up period. We used Poisson regression models to compare healthcare utilization in patients with and without anemia, adjusting for demographics, baseline comorbid conditions, inflammatory conditions, and CKD stage. RESULTS: We identified 218,079 older and 56,188 younger stage 3–5 NDD-CKD patients. Anemia prevalence increased with age in both datasets; was higher in women, black patients (Medicare only), and patients with comorbid conditions; and rose sharply with increasing CKD stage. Of 15,716 younger anemic patients, 11.7%, 10.8%, and 9.4% were treated with RBC transfusion, ESAs, and IV iron, respectively. Corresponding proportions of 109,251 older anemic patients were 22.2%, 12.7%, and 6.7%. Regardless of age, anemic patients were more likely than non-anemic patients to use healthcare resources, including hospitalizations and emergency department, hematologist, nephrologist, and outpatient visits. Anemic NDD-CKD patients were more likely to be treated with RBC transfusion than with ESAs or IV iron. CONCLUSION: More research is necessary to determine best approaches to anemia management in CKD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-0861-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5856223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58562232018-03-22 Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States St. Peter, Wendy L. Guo, Haifeng Kabadi, Shaum Gilbertson, David T. Peng, Yi Pendergraft, Trudy Li, Suying BMC Nephrol Research Article BACKGROUND: Anemia is common in non-dialysis-dependent chronic kidney disease (NDD-CKD) patients, but detailed information on prevalence and treatment is lacking. METHODS: We evaluated anemia prevalence and treatment using two datasets: the Medicare 20% random sample (ages 66–85 years), and the Truven Health MarketScan database (ages 18–63 years). We selected stage 3–5 NDD-CKD patients with and without anemia from both databases during 2011–2013. We evaluated anemia prevalence and treatment (erythropoietin stimulating agents [ESAs], intravenous [IV] iron, red blood cell [RBC] transfusions) following anemia diagnosis during a 1-year baseline period, and healthcare utilization during a 1-year follow-up period. We used Poisson regression models to compare healthcare utilization in patients with and without anemia, adjusting for demographics, baseline comorbid conditions, inflammatory conditions, and CKD stage. RESULTS: We identified 218,079 older and 56,188 younger stage 3–5 NDD-CKD patients. Anemia prevalence increased with age in both datasets; was higher in women, black patients (Medicare only), and patients with comorbid conditions; and rose sharply with increasing CKD stage. Of 15,716 younger anemic patients, 11.7%, 10.8%, and 9.4% were treated with RBC transfusion, ESAs, and IV iron, respectively. Corresponding proportions of 109,251 older anemic patients were 22.2%, 12.7%, and 6.7%. Regardless of age, anemic patients were more likely than non-anemic patients to use healthcare resources, including hospitalizations and emergency department, hematologist, nephrologist, and outpatient visits. Anemic NDD-CKD patients were more likely to be treated with RBC transfusion than with ESAs or IV iron. CONCLUSION: More research is necessary to determine best approaches to anemia management in CKD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-0861-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-15 /pmc/articles/PMC5856223/ /pubmed/29544446 http://dx.doi.org/10.1186/s12882-018-0861-1 Text en © The Author(s). 2018 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 St. Peter, Wendy L. Guo, Haifeng Kabadi, Shaum Gilbertson, David T. Peng, Yi Pendergraft, Trudy Li, Suying Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States |
title | Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States |
title_full | Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States |
title_fullStr | Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States |
title_full_unstemmed | Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States |
title_short | Prevalence, treatment patterns, and healthcare resource utilization in Medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the United States |
title_sort | prevalence, treatment patterns, and healthcare resource utilization in medicare and commercially insured non-dialysis-dependent chronic kidney disease patients with and without anemia in the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856223/ https://www.ncbi.nlm.nih.gov/pubmed/29544446 http://dx.doi.org/10.1186/s12882-018-0861-1 |
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