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Utilizing national patient-register data to control for comorbidity in prognostic studies
OBJECTIVE: To construct an updated comorbidity index (Patient Register Index [PRI]) using national data collections from Norway and compare its predictive ability of 1-year mortality with the Charlson Comorbidity Index (CCI). MATERIALS AND METHODS: Data regarding over 1.11 million patients registere...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216019/ https://www.ncbi.nlm.nih.gov/pubmed/25368532 http://dx.doi.org/10.2147/CLEP.S70742 |
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author | Nilssen, Yngvar Strand, Trond-Eirik Wiik, Robert Bakken, Inger Johanne Yu, Xue Qin O’Connell, Dianne L Møller, Bjørn |
author_facet | Nilssen, Yngvar Strand, Trond-Eirik Wiik, Robert Bakken, Inger Johanne Yu, Xue Qin O’Connell, Dianne L Møller, Bjørn |
author_sort | Nilssen, Yngvar |
collection | PubMed |
description | OBJECTIVE: To construct an updated comorbidity index (Patient Register Index [PRI]) using national data collections from Norway and compare its predictive ability of 1-year mortality with the Charlson Comorbidity Index (CCI). MATERIALS AND METHODS: Data regarding over 1.11 million patients registered in the Norwegian Patient Register in 2010 and 2011 were used to construct the PRI. The PRI was evaluated by comparing its model fit and discrimination with the CCI. RESULTS: Compared with the CCI, the PRI weights decreased for six, increased for four, and were unchanged for seven diseases. When the PRI was added to the model including age and sex, the age effects were reduced by up to 38% for patients older than 50 years. All measures of model fit improved for the PRI model. CONCLUSION: Adjustment for comorbidity is especially important for patients 50 years of age or older, and its effect on 1-year mortality is almost comparable to the age effect. The PRI is based on more recent data than the CCI, and is more representative of the general population due to its construction. |
format | Online Article Text |
id | pubmed-4216019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42160192014-11-03 Utilizing national patient-register data to control for comorbidity in prognostic studies Nilssen, Yngvar Strand, Trond-Eirik Wiik, Robert Bakken, Inger Johanne Yu, Xue Qin O’Connell, Dianne L Møller, Bjørn Clin Epidemiol Original Research OBJECTIVE: To construct an updated comorbidity index (Patient Register Index [PRI]) using national data collections from Norway and compare its predictive ability of 1-year mortality with the Charlson Comorbidity Index (CCI). MATERIALS AND METHODS: Data regarding over 1.11 million patients registered in the Norwegian Patient Register in 2010 and 2011 were used to construct the PRI. The PRI was evaluated by comparing its model fit and discrimination with the CCI. RESULTS: Compared with the CCI, the PRI weights decreased for six, increased for four, and were unchanged for seven diseases. When the PRI was added to the model including age and sex, the age effects were reduced by up to 38% for patients older than 50 years. All measures of model fit improved for the PRI model. CONCLUSION: Adjustment for comorbidity is especially important for patients 50 years of age or older, and its effect on 1-year mortality is almost comparable to the age effect. The PRI is based on more recent data than the CCI, and is more representative of the general population due to its construction. Dove Medical Press 2014-10-24 /pmc/articles/PMC4216019/ /pubmed/25368532 http://dx.doi.org/10.2147/CLEP.S70742 Text en © 2014 Nilssen et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Nilssen, Yngvar Strand, Trond-Eirik Wiik, Robert Bakken, Inger Johanne Yu, Xue Qin O’Connell, Dianne L Møller, Bjørn Utilizing national patient-register data to control for comorbidity in prognostic studies |
title | Utilizing national patient-register data to control for comorbidity in prognostic studies |
title_full | Utilizing national patient-register data to control for comorbidity in prognostic studies |
title_fullStr | Utilizing national patient-register data to control for comorbidity in prognostic studies |
title_full_unstemmed | Utilizing national patient-register data to control for comorbidity in prognostic studies |
title_short | Utilizing national patient-register data to control for comorbidity in prognostic studies |
title_sort | utilizing national patient-register data to control for comorbidity in prognostic studies |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216019/ https://www.ncbi.nlm.nih.gov/pubmed/25368532 http://dx.doi.org/10.2147/CLEP.S70742 |
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