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A self-report comorbidity questionnaire for haemodialysis patients
BACKGROUND: Patients with end-stage renal disease (ESRD) have multiple comorbid conditions. Obtaining comorbidity data from medical records is cumbersome. A self-report comorbidity questionnaire is a useful alternative. Our aim in this study was to examine the predictive value of a self-report comor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140824/ https://www.ncbi.nlm.nih.gov/pubmed/25135668 http://dx.doi.org/10.1186/1471-2369-15-134 |
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author | Sridharan, Sivakumar Berdeprado, Jocelyn Vilar, Enric Roberts, Justin Farrington, Ken |
author_facet | Sridharan, Sivakumar Berdeprado, Jocelyn Vilar, Enric Roberts, Justin Farrington, Ken |
author_sort | Sridharan, Sivakumar |
collection | PubMed |
description | BACKGROUND: Patients with end-stage renal disease (ESRD) have multiple comorbid conditions. Obtaining comorbidity data from medical records is cumbersome. A self-report comorbidity questionnaire is a useful alternative. Our aim in this study was to examine the predictive value of a self-report comorbidity questionnaire in terms of survival in ESRD patients. METHODS: We studied a prospective cross-sectional cohort of 282 haemodialysis (HD) patients in a single centre. Participants were administered the self-report questionnaire during an HD session. Information on their comorbidities was subsequently obtained from an examination of the patient’s medical records. Levels of agreement between parameters derived from the questionnaire, and from the medical records, were examined. Participants were followed-up for 18 months to collect survival data. The influence on survival of comorbidity scores derived from the self-report data (the Composite Self-report Comorbidity Score [CSCS]) and from medical records data - the Charlson Comorbidity Index [CCI] were compared. RESULTS: The level of agreement between the self-report items and those obtained from medical records was almost perfect with respect the presence of diabetes (Kappa score κ 0.97), substantial for heart disease and cancer (κ 0.62 and κ 0.72 respectively), moderate for liver disease (κ 0.51), only fair for lung disease, arthritis, cerebrovascular disease, and depression (κ 0.34, 0.35, 0.34 and 0.29 respectively). The CSCS was strongly predictive of survival in regression models (Nagelkerke R(2) value 0.202), with a predictive power similar to that of the CCI (Nagelkerke R(2) value 0.211). The influences of these two parameters were additive in the models – suggesting that these parameters make different contributions to the assessment of comorbidity. CONCLUSION: This self-report comorbidity questionnaire is a viable tool to collect comorbidity data and may have a role in the prediction of short-term survival in patients with end-stage renal disease on haemodialysis. Further work is required in this setting to refine the tool and define its role. |
format | Online Article Text |
id | pubmed-4140824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41408242014-08-22 A self-report comorbidity questionnaire for haemodialysis patients Sridharan, Sivakumar Berdeprado, Jocelyn Vilar, Enric Roberts, Justin Farrington, Ken BMC Nephrol Research Article BACKGROUND: Patients with end-stage renal disease (ESRD) have multiple comorbid conditions. Obtaining comorbidity data from medical records is cumbersome. A self-report comorbidity questionnaire is a useful alternative. Our aim in this study was to examine the predictive value of a self-report comorbidity questionnaire in terms of survival in ESRD patients. METHODS: We studied a prospective cross-sectional cohort of 282 haemodialysis (HD) patients in a single centre. Participants were administered the self-report questionnaire during an HD session. Information on their comorbidities was subsequently obtained from an examination of the patient’s medical records. Levels of agreement between parameters derived from the questionnaire, and from the medical records, were examined. Participants were followed-up for 18 months to collect survival data. The influence on survival of comorbidity scores derived from the self-report data (the Composite Self-report Comorbidity Score [CSCS]) and from medical records data - the Charlson Comorbidity Index [CCI] were compared. RESULTS: The level of agreement between the self-report items and those obtained from medical records was almost perfect with respect the presence of diabetes (Kappa score κ 0.97), substantial for heart disease and cancer (κ 0.62 and κ 0.72 respectively), moderate for liver disease (κ 0.51), only fair for lung disease, arthritis, cerebrovascular disease, and depression (κ 0.34, 0.35, 0.34 and 0.29 respectively). The CSCS was strongly predictive of survival in regression models (Nagelkerke R(2) value 0.202), with a predictive power similar to that of the CCI (Nagelkerke R(2) value 0.211). The influences of these two parameters were additive in the models – suggesting that these parameters make different contributions to the assessment of comorbidity. CONCLUSION: This self-report comorbidity questionnaire is a viable tool to collect comorbidity data and may have a role in the prediction of short-term survival in patients with end-stage renal disease on haemodialysis. Further work is required in this setting to refine the tool and define its role. BioMed Central 2014-08-18 /pmc/articles/PMC4140824/ /pubmed/25135668 http://dx.doi.org/10.1186/1471-2369-15-134 Text en Copyright © 2014 Sridharan et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Sridharan, Sivakumar Berdeprado, Jocelyn Vilar, Enric Roberts, Justin Farrington, Ken A self-report comorbidity questionnaire for haemodialysis patients |
title | A self-report comorbidity questionnaire for haemodialysis patients |
title_full | A self-report comorbidity questionnaire for haemodialysis patients |
title_fullStr | A self-report comorbidity questionnaire for haemodialysis patients |
title_full_unstemmed | A self-report comorbidity questionnaire for haemodialysis patients |
title_short | A self-report comorbidity questionnaire for haemodialysis patients |
title_sort | self-report comorbidity questionnaire for haemodialysis patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140824/ https://www.ncbi.nlm.nih.gov/pubmed/25135668 http://dx.doi.org/10.1186/1471-2369-15-134 |
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