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Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP
Chronic Kidney Disease (CKD), is highly prevalent in the United States. Epidemiological systems for surveillance of CKD rely on data that are based solely on the NHANES survey, which does not include many patients with the most severe and less frequent forms of CKD. We investigated the feasibility o...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203800/ https://www.ncbi.nlm.nih.gov/pubmed/30367154 http://dx.doi.org/10.1038/s41598-018-34233-w |
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author | Myers, O. B. Pankratz, V. S. Norris, K. C. Vassalotti, J. A. Unruh, M. L. Argyropoulos, C. |
author_facet | Myers, O. B. Pankratz, V. S. Norris, K. C. Vassalotti, J. A. Unruh, M. L. Argyropoulos, C. |
author_sort | Myers, O. B. |
collection | PubMed |
description | Chronic Kidney Disease (CKD), is highly prevalent in the United States. Epidemiological systems for surveillance of CKD rely on data that are based solely on the NHANES survey, which does not include many patients with the most severe and less frequent forms of CKD. We investigated the feasibility of estimating CKD prevalence from the large-scale community disease detection Kidney Early Evaluation and Program (KEEP, n = 127,149). We adopted methodologies from the field of web surveys to address the self-selection bias inherent in KEEP. Primary outcomes studied were CKD Stage 3–5 (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m(2), and CKD Stage 4-5 (eGFR <30 mL/min/1.73 m(2)). The unweighted prevalence of Stage 4-5 CKD was higher in KEEP (1.00%, 95%CI: 0.94–1.05%) than in NHANES (0.51%, 95% CI: 0.43–0.59%). Application of a selection model that used variables related to demographics, recruitment and socio-economic factors resulted in estimates similar to NHANES (0.55%, 95% CI: 0.50–0.60%). Weighted prevalence of Stages 3–5 CKD in KEEP was 6.45% (95% CI: 5.70–7.28%) compared to 6.73% (95% CI: 6.30–7.19%) for NHANES. Application of methodologies that address the self-selection bias in the KEEP program may allow the use of this large, geographically diverse dataset for CKD surveillance. |
format | Online Article Text |
id | pubmed-6203800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62038002018-10-31 Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP Myers, O. B. Pankratz, V. S. Norris, K. C. Vassalotti, J. A. Unruh, M. L. Argyropoulos, C. Sci Rep Article Chronic Kidney Disease (CKD), is highly prevalent in the United States. Epidemiological systems for surveillance of CKD rely on data that are based solely on the NHANES survey, which does not include many patients with the most severe and less frequent forms of CKD. We investigated the feasibility of estimating CKD prevalence from the large-scale community disease detection Kidney Early Evaluation and Program (KEEP, n = 127,149). We adopted methodologies from the field of web surveys to address the self-selection bias inherent in KEEP. Primary outcomes studied were CKD Stage 3–5 (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m(2), and CKD Stage 4-5 (eGFR <30 mL/min/1.73 m(2)). The unweighted prevalence of Stage 4-5 CKD was higher in KEEP (1.00%, 95%CI: 0.94–1.05%) than in NHANES (0.51%, 95% CI: 0.43–0.59%). Application of a selection model that used variables related to demographics, recruitment and socio-economic factors resulted in estimates similar to NHANES (0.55%, 95% CI: 0.50–0.60%). Weighted prevalence of Stages 3–5 CKD in KEEP was 6.45% (95% CI: 5.70–7.28%) compared to 6.73% (95% CI: 6.30–7.19%) for NHANES. Application of methodologies that address the self-selection bias in the KEEP program may allow the use of this large, geographically diverse dataset for CKD surveillance. Nature Publishing Group UK 2018-10-26 /pmc/articles/PMC6203800/ /pubmed/30367154 http://dx.doi.org/10.1038/s41598-018-34233-w Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Myers, O. B. Pankratz, V. S. Norris, K. C. Vassalotti, J. A. Unruh, M. L. Argyropoulos, C. Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP |
title | Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP |
title_full | Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP |
title_fullStr | Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP |
title_full_unstemmed | Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP |
title_short | Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP |
title_sort | surveillance of ckd epidemiology in the us – a joint analysis of nhanes and keep |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203800/ https://www.ncbi.nlm.nih.gov/pubmed/30367154 http://dx.doi.org/10.1038/s41598-018-34233-w |
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