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Impact of CKD on Household Income
INTRODUCTION: The impact of chronic kidney disease (CKD) on income is unclear. We sought to determine whether CKD severity, serious adverse events, and CKD progression affected household income. METHODS: Analyses were undertaken in a prospective cohort of adults with moderate-to-severe CKD in the St...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976816/ https://www.ncbi.nlm.nih.gov/pubmed/29854968 http://dx.doi.org/10.1016/j.ekir.2017.12.008 |
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author | Morton, Rachael L. Schlackow, Iryna Gray, Alastair Emberson, Jonathan Herrington, William Staplin, Natalie Reith, Christina Howard, Kirsten Landray, Martin J. Cass, Alan Baigent, Colin Mihaylova, Borislava |
author_facet | Morton, Rachael L. Schlackow, Iryna Gray, Alastair Emberson, Jonathan Herrington, William Staplin, Natalie Reith, Christina Howard, Kirsten Landray, Martin J. Cass, Alan Baigent, Colin Mihaylova, Borislava |
author_sort | Morton, Rachael L. |
collection | PubMed |
description | INTRODUCTION: The impact of chronic kidney disease (CKD) on income is unclear. We sought to determine whether CKD severity, serious adverse events, and CKD progression affected household income. METHODS: Analyses were undertaken in a prospective cohort of adults with moderate-to-severe CKD in the Study of Heart and Renal Protection (SHARP), with household income information available at baseline screening and study end. Logistic regressions, adjusted for sociodemographic characteristics, smoking, and prior diseases at baseline, estimated associations during the 5-year follow-up, among (i) baseline CKD severity, (ii) incident nonfatal serious adverse events (vascular or cancer), and (iii) CKD treatment modality (predialysis, dialysis, or transplanted) at study end and the outcome “fall into relative poverty.” This was defined as household income <50% of country median income. RESULTS: A total of 2914 SHARP participants from 14 countries were included in the main analysis. Of these, 933 (32%) were in relative poverty at screening; of the remaining 1981, 436 (22%) fell into relative poverty by study end. Compared with participants with stage 3 CKD at baseline, the odds of falling into poverty were 51% higher for those with stage 4 (odds ratio [OR]: 1.51; 95% confidence interval [CI]: 1.09–2.10), 66% higher for those with stage 5 (OR: 1.66; 95% CI: 1.11–2.47), and 78% higher for those on dialysis at baseline (OR: 1.78, 95% CI: 1.22–2.60). Participants with kidney transplant at study end had approximately half the risk of those on dialysis or those with CKD stages 3 to 5. CONCLUSION: More advanced CKD is associated with increased odds of falling into poverty. Kidney transplantation may have a role in reducing this risk. |
format | Online Article Text |
id | pubmed-5976816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59768162018-05-31 Impact of CKD on Household Income Morton, Rachael L. Schlackow, Iryna Gray, Alastair Emberson, Jonathan Herrington, William Staplin, Natalie Reith, Christina Howard, Kirsten Landray, Martin J. Cass, Alan Baigent, Colin Mihaylova, Borislava Kidney Int Rep Clinical Research INTRODUCTION: The impact of chronic kidney disease (CKD) on income is unclear. We sought to determine whether CKD severity, serious adverse events, and CKD progression affected household income. METHODS: Analyses were undertaken in a prospective cohort of adults with moderate-to-severe CKD in the Study of Heart and Renal Protection (SHARP), with household income information available at baseline screening and study end. Logistic regressions, adjusted for sociodemographic characteristics, smoking, and prior diseases at baseline, estimated associations during the 5-year follow-up, among (i) baseline CKD severity, (ii) incident nonfatal serious adverse events (vascular or cancer), and (iii) CKD treatment modality (predialysis, dialysis, or transplanted) at study end and the outcome “fall into relative poverty.” This was defined as household income <50% of country median income. RESULTS: A total of 2914 SHARP participants from 14 countries were included in the main analysis. Of these, 933 (32%) were in relative poverty at screening; of the remaining 1981, 436 (22%) fell into relative poverty by study end. Compared with participants with stage 3 CKD at baseline, the odds of falling into poverty were 51% higher for those with stage 4 (odds ratio [OR]: 1.51; 95% confidence interval [CI]: 1.09–2.10), 66% higher for those with stage 5 (OR: 1.66; 95% CI: 1.11–2.47), and 78% higher for those on dialysis at baseline (OR: 1.78, 95% CI: 1.22–2.60). Participants with kidney transplant at study end had approximately half the risk of those on dialysis or those with CKD stages 3 to 5. CONCLUSION: More advanced CKD is associated with increased odds of falling into poverty. Kidney transplantation may have a role in reducing this risk. Elsevier 2017-12-23 /pmc/articles/PMC5976816/ /pubmed/29854968 http://dx.doi.org/10.1016/j.ekir.2017.12.008 Text en © 2017 International Society of Nephrology. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Clinical Research Morton, Rachael L. Schlackow, Iryna Gray, Alastair Emberson, Jonathan Herrington, William Staplin, Natalie Reith, Christina Howard, Kirsten Landray, Martin J. Cass, Alan Baigent, Colin Mihaylova, Borislava Impact of CKD on Household Income |
title | Impact of CKD on Household Income |
title_full | Impact of CKD on Household Income |
title_fullStr | Impact of CKD on Household Income |
title_full_unstemmed | Impact of CKD on Household Income |
title_short | Impact of CKD on Household Income |
title_sort | impact of ckd on household income |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976816/ https://www.ncbi.nlm.nih.gov/pubmed/29854968 http://dx.doi.org/10.1016/j.ekir.2017.12.008 |
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