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Explaining trends and variation in timing of dialysis initiation in the United States
The United States Renal Data System (USRDS) registry of end-stage renal disease has often been used to study the timing of dialysis initiation, measured by estimated glomerular filtration rate (eGFR) at dialysis initiation. We conducted an observational study and examined how well variables in the U...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440142/ https://www.ncbi.nlm.nih.gov/pubmed/28514305 http://dx.doi.org/10.1097/MD.0000000000006911 |
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author | Li, Yun Jin, Yan Kapke, Alissa Pearson, Jeffrey Saran, Rajiv Port, Friedrich K. Robinson, Bruce M. |
author_facet | Li, Yun Jin, Yan Kapke, Alissa Pearson, Jeffrey Saran, Rajiv Port, Friedrich K. Robinson, Bruce M. |
author_sort | Li, Yun |
collection | PubMed |
description | The United States Renal Data System (USRDS) registry of end-stage renal disease has often been used to study the timing of dialysis initiation, measured by estimated glomerular filtration rate (eGFR) at dialysis initiation. We conducted an observational study and examined how well variables in the USRDS database explain the trends and variation in eGFR at dialysis initiation. We identified 971,481 patients who initiated dialysis between 1995 and 2012 in the USRDS registry. The mean eGFR at dialysis initiation monotonically rose from 7.7 in 1995 to 11.1 in 2009, and then leveled off to 10.9 mL/min/1.73 m(2) in 2012. The trend of rising, then leveling off was similar across all subgroups studied. Substantial variation in eGFR at dialysis initiation was observed, with standard deviation of 4.38 (95% CI: 2.0–18.4). A total of 11.4% of the total variation occurred across physicians and 88.6% within physicians. Adjustment for measured factors only modestly decreased the total variation. Of the total variance, 10.7% was explained by measured patient-level variables and 1.2% by measured physician and other factors, while 9.2% of physician-level variation and 78.9% of patient-level variation remained unexplained. The extent of variation explained by measured variables was similar over the entire study period. The finding that the majority of variation in eGFR at dialysis initiation is unexplained by measured variables casts doubt on how well eGFR serves as a measure for “timing” of dialysis initiation, and it indicates the need to collect more focused data to gain understanding of factors that affect timing of dialysis initiation in the US. |
format | Online Article Text |
id | pubmed-5440142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-54401422017-05-25 Explaining trends and variation in timing of dialysis initiation in the United States Li, Yun Jin, Yan Kapke, Alissa Pearson, Jeffrey Saran, Rajiv Port, Friedrich K. Robinson, Bruce M. Medicine (Baltimore) 5200 The United States Renal Data System (USRDS) registry of end-stage renal disease has often been used to study the timing of dialysis initiation, measured by estimated glomerular filtration rate (eGFR) at dialysis initiation. We conducted an observational study and examined how well variables in the USRDS database explain the trends and variation in eGFR at dialysis initiation. We identified 971,481 patients who initiated dialysis between 1995 and 2012 in the USRDS registry. The mean eGFR at dialysis initiation monotonically rose from 7.7 in 1995 to 11.1 in 2009, and then leveled off to 10.9 mL/min/1.73 m(2) in 2012. The trend of rising, then leveling off was similar across all subgroups studied. Substantial variation in eGFR at dialysis initiation was observed, with standard deviation of 4.38 (95% CI: 2.0–18.4). A total of 11.4% of the total variation occurred across physicians and 88.6% within physicians. Adjustment for measured factors only modestly decreased the total variation. Of the total variance, 10.7% was explained by measured patient-level variables and 1.2% by measured physician and other factors, while 9.2% of physician-level variation and 78.9% of patient-level variation remained unexplained. The extent of variation explained by measured variables was similar over the entire study period. The finding that the majority of variation in eGFR at dialysis initiation is unexplained by measured variables casts doubt on how well eGFR serves as a measure for “timing” of dialysis initiation, and it indicates the need to collect more focused data to gain understanding of factors that affect timing of dialysis initiation in the US. Wolters Kluwer Health 2017-05-19 /pmc/articles/PMC5440142/ /pubmed/28514305 http://dx.doi.org/10.1097/MD.0000000000006911 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | 5200 Li, Yun Jin, Yan Kapke, Alissa Pearson, Jeffrey Saran, Rajiv Port, Friedrich K. Robinson, Bruce M. Explaining trends and variation in timing of dialysis initiation in the United States |
title | Explaining trends and variation in timing of dialysis initiation in the United States |
title_full | Explaining trends and variation in timing of dialysis initiation in the United States |
title_fullStr | Explaining trends and variation in timing of dialysis initiation in the United States |
title_full_unstemmed | Explaining trends and variation in timing of dialysis initiation in the United States |
title_short | Explaining trends and variation in timing of dialysis initiation in the United States |
title_sort | explaining trends and variation in timing of dialysis initiation in the united states |
topic | 5200 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440142/ https://www.ncbi.nlm.nih.gov/pubmed/28514305 http://dx.doi.org/10.1097/MD.0000000000006911 |
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