Utilizing national patient-register data to control for comorbidity in prognostic studies

Yngvar Nilssen,1 Trond-Eirik Strand,1 Robert Wiik,2 Inger Johanne Bakken,3 Xue Qin Yu,4,5 Dianne L O'Connell,4–7 Bjørn Møller1 1Department of Registration, Cancer Registry of Norway, Oslo, 2Norwegian Patient Register Department, Norwegian Directorate of Healt...

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Main Authors: Nilssen Y, Str, TE, Wiik R, Bakken IJ, Yu XQ, O’Connell DL, Møller B
Format: Article
Language:English
Published: Dove Medical Press 2014-10-01
Series:Clinical Epidemiology
Online Access:http://www.dovepress.com/utilizing-national-patient-register-data-to-control-for-comorbidity-in-peer-reviewed-article-CLEP
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spelling doaj-759dd287403d4bf9b60a6ba2c77257f72020-11-24T21:28:18ZengDove Medical PressClinical Epidemiology1179-13492014-10-012014default39540418909Utilizing national patient-register data to control for comorbidity in prognostic studiesNilssen YStrTEWiik RBakken IJYu XQO’Connell DLMøller B Yngvar Nilssen,1 Trond-Eirik Strand,1 Robert Wiik,2 Inger Johanne Bakken,3 Xue Qin Yu,4,5 Dianne L O'Connell,4–7 Bjørn Møller1 1Department of Registration, Cancer Registry of Norway, Oslo, 2Norwegian Patient Register Department, Norwegian Directorate of Health, Trondheim, 3Norwegian Institute of Public Health, Oslo, Norway; 4Cancer Research Division, Cancer Council NSW, 5School of Public Health, University of Sydney, 6School of Public Health and Community Medicine, University of New South Wales, Sydney, 7School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia 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. Keywords: comorbidity, National Patient Register, Charlson Comorbidity Index, predictive ability, patient-register index, prognostic valuehttp://www.dovepress.com/utilizing-national-patient-register-data-to-control-for-comorbidity-in-peer-reviewed-article-CLEP
collection DOAJ
language English
format Article
sources DOAJ
author Nilssen Y
Str
TE
Wiik R
Bakken IJ
Yu XQ
O’Connell DL
Møller B
spellingShingle Nilssen Y
Str
TE
Wiik R
Bakken IJ
Yu XQ
O’Connell DL
Møller B
Utilizing national patient-register data to control for comorbidity in prognostic studies
Clinical Epidemiology
author_facet Nilssen Y
Str
TE
Wiik R
Bakken IJ
Yu XQ
O’Connell DL
Møller B
author_sort Nilssen Y
title 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_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_sort utilizing national patient-register data to control for comorbidity in prognostic studies
publisher Dove Medical Press
series Clinical Epidemiology
issn 1179-1349
publishDate 2014-10-01
description Yngvar Nilssen,1 Trond-Eirik Strand,1 Robert Wiik,2 Inger Johanne Bakken,3 Xue Qin Yu,4,5 Dianne L O'Connell,4–7 Bjørn Møller1 1Department of Registration, Cancer Registry of Norway, Oslo, 2Norwegian Patient Register Department, Norwegian Directorate of Health, Trondheim, 3Norwegian Institute of Public Health, Oslo, Norway; 4Cancer Research Division, Cancer Council NSW, 5School of Public Health, University of Sydney, 6School of Public Health and Community Medicine, University of New South Wales, Sydney, 7School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia 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. Keywords: comorbidity, National Patient Register, Charlson Comorbidity Index, predictive ability, patient-register index, prognostic value
url http://www.dovepress.com/utilizing-national-patient-register-data-to-control-for-comorbidity-in-peer-reviewed-article-CLEP
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